From fce2e2b7d9683c1667665f335a5d78378ea56789 Mon Sep 17 00:00:00 2001 From: Tomasz Kalinowski Date: Tue, 23 Apr 2024 09:23:45 -0400 Subject: [PATCH 01/38] new keras api submodules: keras.src.** -> keras.api.* --- .tether/man/keras.applications.txt | 34 +++++++-------- .tether/man/keras.datasets.txt | 16 +++---- .tether/man/keras.legacy.txt | 2 +- .tether/man/keras.preprocessing.txt | 4 +- .tether/man/keras.txt | 66 ++++++++++++++--------------- .tether/man/keras.utils.txt | 2 +- 6 files changed, 60 insertions(+), 64 deletions(-) diff --git a/.tether/man/keras.applications.txt b/.tether/man/keras.applications.txt index 49ae25254..8d9db78cf 100644 --- a/.tether/man/keras.applications.txt +++ b/.tether/man/keras.applications.txt @@ -1,4 +1,4 @@ -convnext: Module(keras.applications.convnext) +convnext: Module(keras.api.applications.convnext) ConvNeXtBase( model_name='convnext_base', include_top=True, @@ -54,7 +54,7 @@ ConvNeXtXLarge( classes=1000, classifier_activation='softmax' ) -densenet: Module(keras.applications.densenet) +densenet: Module(keras.api.applications.densenet) DenseNet121( include_top=True, weights='imagenet', @@ -82,8 +82,8 @@ DenseNet201( classes=1000, classifier_activation='softmax' ) -efficientnet: Module(keras.applications.efficientnet) -efficientnet_v2: Module(keras.applications.efficientnet_v2) +efficientnet: Module(keras.api.applications.efficientnet) +efficientnet_v2: Module(keras.api.applications.efficientnet_v2) EfficientNetB0( include_top=True, weights='imagenet', @@ -234,9 +234,9 @@ EfficientNetV2S( classifier_activation='softmax', include_preprocessing=True ) -imagenet_utils: Module(keras.applications.imagenet_utils) -inception_resnet_v2: Module(keras.applications.inception_resnet_v2) -inception_v3: Module(keras.applications.inception_v3) +imagenet_utils: Module(keras.api.applications.imagenet_utils) +inception_resnet_v2: Module(keras.api.applications.inception_resnet_v2) +inception_v3: Module(keras.api.applications.inception_v3) InceptionResNetV2( include_top=True, weights='imagenet', @@ -255,7 +255,7 @@ InceptionV3( classes=1000, classifier_activation='softmax' ) -mobilenet: Module(keras.applications.mobilenet) +mobilenet: Module(keras.api.applications.mobilenet) MobileNet( input_shape=None, alpha=1.0, @@ -268,8 +268,8 @@ MobileNet( classes=1000, classifier_activation='softmax' ) -mobilenet_v2: Module(keras.applications.mobilenet_v2) -mobilenet_v3: Module(keras.applications.mobilenet_v3) +mobilenet_v2: Module(keras.api.applications.mobilenet_v2) +mobilenet_v3: Module(keras.api.applications.mobilenet_v3) MobileNetV2( input_shape=None, alpha=1.0, @@ -306,7 +306,7 @@ MobileNetV3Small( classifier_activation='softmax', include_preprocessing=True ) -nasnet: Module(keras.applications.nasnet) +nasnet: Module(keras.api.applications.nasnet) NASNetLarge( input_shape=None, include_top=True, @@ -325,8 +325,8 @@ NASNetMobile( classes=1000, classifier_activation='softmax' ) -resnet: Module(keras.applications.resnet) -resnet_v2: Module(keras.applications.resnet_v2) +resnet: Module(keras.api.applications.resnet) +resnet_v2: Module(keras.api.applications.resnet_v2) ResNet101( include_top=True, weights='imagenet', @@ -363,7 +363,7 @@ ResNet152V2( classes=1000, classifier_activation='softmax' ) -resnet50: Module(keras.applications.resnet50) +resnet50: Module(keras.api.applications.resnet50) ResNet50( include_top=True, weights='imagenet', @@ -382,7 +382,7 @@ ResNet50V2( classes=1000, classifier_activation='softmax' ) -vgg16: Module(keras.applications.vgg16) +vgg16: Module(keras.api.applications.vgg16) VGG16( include_top=True, weights='imagenet', @@ -392,7 +392,7 @@ VGG16( classes=1000, classifier_activation='softmax' ) -vgg19: Module(keras.applications.vgg19) +vgg19: Module(keras.api.applications.vgg19) VGG19( include_top=True, weights='imagenet', @@ -402,7 +402,7 @@ VGG19( classes=1000, classifier_activation='softmax' ) -xception: Module(keras.applications.xception) +xception: Module(keras.api.applications.xception) Xception( include_top=True, weights='imagenet', diff --git a/.tether/man/keras.datasets.txt b/.tether/man/keras.datasets.txt index 79bb80818..f771e1b50 100644 --- a/.tether/man/keras.datasets.txt +++ b/.tether/man/keras.datasets.txt @@ -1,9 +1,9 @@ -boston_housing: Module(keras.datasets.boston_housing) -california_housing: Module(keras.datasets.california_housing) -cifar10: Module(keras.datasets.cifar10) -cifar100: Module(keras.datasets.cifar100) -fashion_mnist: Module(keras.datasets.fashion_mnist) -imdb: Module(keras.datasets.imdb) -mnist: Module(keras.datasets.mnist) -reuters: Module(keras.datasets.reuters) +boston_housing: Module(keras.api.datasets.boston_housing) +california_housing: Module(keras.api.datasets.california_housing) +cifar10: Module(keras.api.datasets.cifar10) +cifar100: Module(keras.api.datasets.cifar100) +fashion_mnist: Module(keras.api.datasets.fashion_mnist) +imdb: Module(keras.api.datasets.imdb) +mnist: Module(keras.api.datasets.mnist) +reuters: Module(keras.api.datasets.reuters) diff --git a/.tether/man/keras.legacy.txt b/.tether/man/keras.legacy.txt index 43e1bbaf2..13f97b309 100644 --- a/.tether/man/keras.legacy.txt +++ b/.tether/man/keras.legacy.txt @@ -1,2 +1,2 @@ -saving: Module(keras.legacy.saving) +saving: Module(keras.api.legacy.saving) diff --git a/.tether/man/keras.preprocessing.txt b/.tether/man/keras.preprocessing.txt index 4ba34405b..c7da2c534 100644 --- a/.tether/man/keras.preprocessing.txt +++ b/.tether/man/keras.preprocessing.txt @@ -1,4 +1,4 @@ -image: Module(keras.preprocessing.image) +image: Module(keras.api.preprocessing.image) image_dataset_from_directory( directory, labels='inferred', @@ -18,7 +18,7 @@ image_dataset_from_directory( data_format=None, verbose=True ) -sequence: Module(keras.preprocessing.sequence) +sequence: Module(keras.api.preprocessing.sequence) text_dataset_from_directory( directory, labels='inferred', diff --git a/.tether/man/keras.txt b/.tether/man/keras.txt index 69e7f9904..6c5b01579 100644 --- a/.tether/man/keras.txt +++ b/.tether/man/keras.txt @@ -1,21 +1,19 @@ -AbsMaxQuantizer( - axis, - value_range=(-127, 127), - epsilon=1e-07, - output_dtype='int8' -) -activations: Module(keras.activations) -applications: Module(keras.applications) -backend: Module(keras.backend) -callbacks: Module(keras.callbacks) -config: Module(keras.config) -constraints: Module(keras.constraints) -datasets: Module(keras.datasets) +activations: Module(keras.api.activations) +applications: Module(keras.api.applications) +backend: Module(keras.api.backend) +callbacks: Module(keras.api.callbacks) +config: Module(keras.api.config) +constraints: Module(keras.api.constraints) +datasets: Module(keras.api.datasets) device(device_name) -distribution: Module(keras.distribution) -dtype_policies: Module(keras.dtype_policies) -DTypePolicy(name) -export: Module(keras.export) +distribution: Module(keras.api.distribution) +dtype_policies: Module(keras.api.dtype_policies) +DTypePolicy( + name, + *args, + **kwargs +) +export: Module(keras.api.export) FloatDTypePolicy(name) Function( inputs, @@ -23,7 +21,7 @@ Function( name=None ) Initializer() -initializers: Module(keras.initializers) +initializers: Module(keras.api.initializers) Input( shape=None, batch_size=None, @@ -51,41 +49,39 @@ KerasTensor( name=None ) Layer(*args, **kwargs) -layers: Module(keras.layers) -legacy: Module(keras.legacy) +layers: Module(keras.api.layers) +legacy: Module(keras.api.legacy) Loss( name=None, reduction='sum_over_batch_size', dtype=None ) -losses: Module(keras.losses) +losses: Module(keras.api.losses) Metric(dtype=None, name=None) -metrics: Module(keras.metrics) -mixed_precision: Module(keras.mixed_precision) +metrics: Module(keras.api.metrics) +mixed_precision: Module(keras.api.mixed_precision) Model(*args, **kwargs) -models: Module(keras.models) +models: Module(keras.api.models) name_scope(name, **kwargs) Operation(*args, **kwargs) -ops: Module(keras.ops) +ops: Module(keras.api.ops) Optimizer(*args, **kwargs) -optimizers: Module(keras.optimizers) -preprocessing: Module(keras.preprocessing) -QuantizedDTypePolicy(name) +optimizers: Module(keras.api.optimizers) +preprocessing: Module(keras.api.preprocessing) Quantizer(output_dtype='int8') -quantizers: Module(keras.quantizers) -random: Module(keras.random) +quantizers: Module(keras.api.quantizers) +random: Module(keras.api.random) Regularizer() -regularizers: Module(keras.regularizers) -saving: Module(keras.saving) +regularizers: Module(keras.api.regularizers) +saving: Module(keras.api.saving) Sequential(*args, **kwargs) -src: Module(keras.src) StatelessScope( state_mapping=None, collect_losses=False, initialize_variables=True ) -tree: Module(keras.tree) -utils: Module(keras.utils) +tree: Module(keras.api.tree) +utils: Module(keras.api.utils) Variable( initializer, shape=None, diff --git a/.tether/man/keras.utils.txt b/.tether/man/keras.utils.txt index dcdd8f33f..f6f58a025 100644 --- a/.tether/man/keras.utils.txt +++ b/.tether/man/keras.utils.txt @@ -87,7 +87,7 @@ img_to_array( ) is_interactive_logging_enabled() is_keras_tensor(x) -legacy: Module(keras.utils.legacy) +legacy: Module(keras.api.utils.legacy) load_img( path, color_mode='rgb', From 8308caddd39e60f8d91dd67e07f0090e459d6f2c Mon Sep 17 00:00:00 2001 From: Tomasz Kalinowski Date: Tue, 23 Apr 2024 09:26:57 -0400 Subject: [PATCH 02/38] new arg: `random_seed_generator(name = )` --- .tether/man/random_seed_generator.txt | 7 ++++++- R/random.R | 4 +++- 2 files changed, 9 insertions(+), 2 deletions(-) diff --git a/.tether/man/random_seed_generator.txt b/.tether/man/random_seed_generator.txt index 683c3a0cb..e44a3d8c0 100644 --- a/.tether/man/random_seed_generator.txt +++ b/.tether/man/random_seed_generator.txt @@ -1,7 +1,11 @@ Help on class SeedGenerator in module keras.src.random.seed_generator: class SeedGenerator(builtins.object) - | SeedGenerator(seed=None, **kwargs) + | SeedGenerator( + | seed=None, + | name=None, + | **kwargs + | ) | | Generates variable seeds upon each call to a RNG-using function. | @@ -41,6 +45,7 @@ class SeedGenerator(builtins.object) | __init__( | self, | seed=None, + | name=None, | **kwargs | ) | Initialize self. See help(type(self)) for accurate signature. diff --git a/R/random.R b/R/random.R index 1073436a5..91abef6cd 100644 --- a/R/random.R +++ b/R/random.R @@ -385,6 +385,8 @@ function (shape, minval = 0, maxval = 1, dtype = NULL, seed = NULL) #' @param seed #' Initial seed for the random number generator #' +#' @param name String, name for the object +#' #' @param ... #' For forward/backward compatability. #' @@ -397,7 +399,7 @@ function (shape, minval = 0, maxval = 1, dtype = NULL, seed = NULL) #' #' @tether keras.random.SeedGenerator random_seed_generator <- -function (seed = NULL, ...) +function (seed = NULL, name = NULL, ...) { args <- capture_args(list(seed = as_integer)) do.call(keras$random$SeedGenerator, args) From 39955050fdd037f459b859b7a8b6f6d277ed9d20 Mon Sep 17 00:00:00 2001 From: Tomasz Kalinowski Date: Tue, 23 Apr 2024 09:32:58 -0400 Subject: [PATCH 03/38] (already accounted) upstream optimizer signature changes --- .tether/man/optimizer_adadelta.txt | 4 +++- .tether/man/optimizer_adafactor.txt | 4 +++- .tether/man/optimizer_adagrad.txt | 4 +++- .tether/man/optimizer_adam.txt | 4 +++- .tether/man/optimizer_adam_w.txt | 4 +++- .tether/man/optimizer_adamax.txt | 4 +++- .tether/man/optimizer_ftrl.txt | 4 +++- .tether/man/optimizer_lion.txt | 4 +++- .tether/man/optimizer_nadam.txt | 4 +++- .tether/man/optimizer_rmsprop.txt | 3 ++- .tether/man/optimizer_sgd.txt | 4 +++- 11 files changed, 32 insertions(+), 11 deletions(-) diff --git a/.tether/man/optimizer_adadelta.txt b/.tether/man/optimizer_adadelta.txt index b4ff6131f..828fab4b4 100644 --- a/.tether/man/optimizer_adadelta.txt +++ b/.tether/man/optimizer_adadelta.txt @@ -1,7 +1,7 @@ Help on class Adadelta in module keras.src.optimizers.adadelta: class Adadelta(keras.src.optimizers.optimizer.Optimizer) - | Adadelta(learning_rate=0.001, rho=0.95, epsilon=1e-07, weight_decay=None, clipnorm=None, clipvalue=None, global_clipnorm=None, use_ema=False, ema_momentum=0.99, ema_overwrite_frequency=None, name='adadelta', **kwargs) + | Adadelta(learning_rate=0.001, rho=0.95, epsilon=1e-07, weight_decay=None, clipnorm=None, clipvalue=None, global_clipnorm=None, use_ema=False, ema_momentum=0.99, ema_overwrite_frequency=None, loss_scale_factor=None, gradient_accumulation_steps=None, name='adadelta', **kwargs) | | Optimizer that implements the Adadelta algorithm. | @@ -104,6 +104,8 @@ class Adadelta(keras.src.optimizers.optimizer.Optimizer) | use_ema=False, | ema_momentum=0.99, | ema_overwrite_frequency=None, + | loss_scale_factor=None, + | gradient_accumulation_steps=None, | name='adadelta', | **kwargs | ) diff --git a/.tether/man/optimizer_adafactor.txt b/.tether/man/optimizer_adafactor.txt index 914695b73..79ae56551 100644 --- a/.tether/man/optimizer_adafactor.txt +++ b/.tether/man/optimizer_adafactor.txt @@ -1,7 +1,7 @@ Help on class Adafactor in module keras.src.optimizers.adafactor: class Adafactor(keras.src.optimizers.optimizer.Optimizer) - | Adafactor(learning_rate=0.001, beta_2_decay=-0.8, epsilon_1=1e-30, epsilon_2=0.001, clip_threshold=1.0, relative_step=True, weight_decay=None, clipnorm=None, clipvalue=None, global_clipnorm=None, use_ema=False, ema_momentum=0.99, ema_overwrite_frequency=None, name='adafactor', **kwargs) + | Adafactor(learning_rate=0.001, beta_2_decay=-0.8, epsilon_1=1e-30, epsilon_2=0.001, clip_threshold=1.0, relative_step=True, weight_decay=None, clipnorm=None, clipvalue=None, global_clipnorm=None, use_ema=False, ema_momentum=0.99, ema_overwrite_frequency=None, loss_scale_factor=None, gradient_accumulation_steps=None, name='adafactor', **kwargs) | | Optimizer that implements the Adafactor algorithm. | @@ -109,6 +109,8 @@ class Adafactor(keras.src.optimizers.optimizer.Optimizer) | use_ema=False, | ema_momentum=0.99, | ema_overwrite_frequency=None, + | loss_scale_factor=None, + | gradient_accumulation_steps=None, | name='adafactor', | **kwargs | ) diff --git a/.tether/man/optimizer_adagrad.txt b/.tether/man/optimizer_adagrad.txt index dc1fe43bd..bff3cdd86 100644 --- a/.tether/man/optimizer_adagrad.txt +++ b/.tether/man/optimizer_adagrad.txt @@ -1,7 +1,7 @@ Help on class Adagrad in module keras.src.optimizers.adagrad: class Adagrad(keras.src.optimizers.optimizer.Optimizer) - | Adagrad(learning_rate=0.001, initial_accumulator_value=0.1, epsilon=1e-07, weight_decay=None, clipnorm=None, clipvalue=None, global_clipnorm=None, use_ema=False, ema_momentum=0.99, ema_overwrite_frequency=None, name='adagrad', **kwargs) + | Adagrad(learning_rate=0.001, initial_accumulator_value=0.1, epsilon=1e-07, weight_decay=None, clipnorm=None, clipvalue=None, global_clipnorm=None, use_ema=False, ema_momentum=0.99, ema_overwrite_frequency=None, loss_scale_factor=None, gradient_accumulation_steps=None, name='adagrad', **kwargs) | | Optimizer that implements the Adagrad algorithm. | @@ -98,6 +98,8 @@ class Adagrad(keras.src.optimizers.optimizer.Optimizer) | use_ema=False, | ema_momentum=0.99, | ema_overwrite_frequency=None, + | loss_scale_factor=None, + | gradient_accumulation_steps=None, | name='adagrad', | **kwargs | ) diff --git a/.tether/man/optimizer_adam.txt b/.tether/man/optimizer_adam.txt index d073c54e9..25622c63e 100644 --- a/.tether/man/optimizer_adam.txt +++ b/.tether/man/optimizer_adam.txt @@ -1,7 +1,7 @@ Help on class Adam in module keras.src.optimizers.adam: class Adam(keras.src.optimizers.optimizer.Optimizer) - | Adam(learning_rate=0.001, beta_1=0.9, beta_2=0.999, epsilon=1e-07, amsgrad=False, weight_decay=None, clipnorm=None, clipvalue=None, global_clipnorm=None, use_ema=False, ema_momentum=0.99, ema_overwrite_frequency=None, name='adam', **kwargs) + | Adam(learning_rate=0.001, beta_1=0.9, beta_2=0.999, epsilon=1e-07, amsgrad=False, weight_decay=None, clipnorm=None, clipvalue=None, global_clipnorm=None, use_ema=False, ema_momentum=0.99, ema_overwrite_frequency=None, loss_scale_factor=None, gradient_accumulation_steps=None, name='adam', **kwargs) | | Optimizer that implements the Adam algorithm. | @@ -108,6 +108,8 @@ class Adam(keras.src.optimizers.optimizer.Optimizer) | use_ema=False, | ema_momentum=0.99, | ema_overwrite_frequency=None, + | loss_scale_factor=None, + | gradient_accumulation_steps=None, | name='adam', | **kwargs | ) diff --git a/.tether/man/optimizer_adam_w.txt b/.tether/man/optimizer_adam_w.txt index 715312199..ec6c92cd3 100644 --- a/.tether/man/optimizer_adam_w.txt +++ b/.tether/man/optimizer_adam_w.txt @@ -1,7 +1,7 @@ Help on class AdamW in module keras.src.optimizers.adamw: class AdamW(keras.src.optimizers.adam.Adam) - | AdamW(learning_rate=0.001, weight_decay=0.004, beta_1=0.9, beta_2=0.999, epsilon=1e-07, amsgrad=False, clipnorm=None, clipvalue=None, global_clipnorm=None, use_ema=False, ema_momentum=0.99, ema_overwrite_frequency=None, name='adamw', **kwargs) + | AdamW(learning_rate=0.001, weight_decay=0.004, beta_1=0.9, beta_2=0.999, epsilon=1e-07, amsgrad=False, clipnorm=None, clipvalue=None, global_clipnorm=None, use_ema=False, ema_momentum=0.99, ema_overwrite_frequency=None, loss_scale_factor=None, gradient_accumulation_steps=None, name='adamw', **kwargs) | | Optimizer that implements the AdamW algorithm. | @@ -120,6 +120,8 @@ class AdamW(keras.src.optimizers.adam.Adam) | use_ema=False, | ema_momentum=0.99, | ema_overwrite_frequency=None, + | loss_scale_factor=None, + | gradient_accumulation_steps=None, | name='adamw', | **kwargs | ) diff --git a/.tether/man/optimizer_adamax.txt b/.tether/man/optimizer_adamax.txt index 8695e5872..cf944d82d 100644 --- a/.tether/man/optimizer_adamax.txt +++ b/.tether/man/optimizer_adamax.txt @@ -1,7 +1,7 @@ Help on class Adamax in module keras.src.optimizers.adamax: class Adamax(keras.src.optimizers.optimizer.Optimizer) - | Adamax(learning_rate=0.001, beta_1=0.9, beta_2=0.999, epsilon=1e-07, weight_decay=None, clipnorm=None, clipvalue=None, global_clipnorm=None, use_ema=False, ema_momentum=0.99, ema_overwrite_frequency=None, name='adamax', **kwargs) + | Adamax(learning_rate=0.001, beta_1=0.9, beta_2=0.999, epsilon=1e-07, weight_decay=None, clipnorm=None, clipvalue=None, global_clipnorm=None, use_ema=False, ema_momentum=0.99, ema_overwrite_frequency=None, loss_scale_factor=None, gradient_accumulation_steps=None, name='adamax', **kwargs) | | Optimizer that implements the Adamax algorithm. | @@ -118,6 +118,8 @@ class Adamax(keras.src.optimizers.optimizer.Optimizer) | use_ema=False, | ema_momentum=0.99, | ema_overwrite_frequency=None, + | loss_scale_factor=None, + | gradient_accumulation_steps=None, | name='adamax', | **kwargs | ) diff --git a/.tether/man/optimizer_ftrl.txt b/.tether/man/optimizer_ftrl.txt index 902081514..38b53c80b 100644 --- a/.tether/man/optimizer_ftrl.txt +++ b/.tether/man/optimizer_ftrl.txt @@ -1,7 +1,7 @@ Help on class Ftrl in module keras.src.optimizers.ftrl: class Ftrl(keras.src.optimizers.optimizer.Optimizer) - | Ftrl(learning_rate=0.001, learning_rate_power=-0.5, initial_accumulator_value=0.1, l1_regularization_strength=0.0, l2_regularization_strength=0.0, l2_shrinkage_regularization_strength=0.0, beta=0.0, weight_decay=None, clipnorm=None, clipvalue=None, global_clipnorm=None, use_ema=False, ema_momentum=0.99, ema_overwrite_frequency=None, name='ftrl', **kwargs) + | Ftrl(learning_rate=0.001, learning_rate_power=-0.5, initial_accumulator_value=0.1, l1_regularization_strength=0.0, l2_regularization_strength=0.0, l2_shrinkage_regularization_strength=0.0, beta=0.0, weight_decay=None, clipnorm=None, clipvalue=None, global_clipnorm=None, use_ema=False, ema_momentum=0.99, ema_overwrite_frequency=None, loss_scale_factor=None, gradient_accumulation_steps=None, name='ftrl', **kwargs) | | Optimizer that implements the FTRL algorithm. | @@ -144,6 +144,8 @@ class Ftrl(keras.src.optimizers.optimizer.Optimizer) | use_ema=False, | ema_momentum=0.99, | ema_overwrite_frequency=None, + | loss_scale_factor=None, + | gradient_accumulation_steps=None, | name='ftrl', | **kwargs | ) diff --git a/.tether/man/optimizer_lion.txt b/.tether/man/optimizer_lion.txt index 1e37a3f92..f7f4b3502 100644 --- a/.tether/man/optimizer_lion.txt +++ b/.tether/man/optimizer_lion.txt @@ -1,7 +1,7 @@ Help on class Lion in module keras.src.optimizers.lion: class Lion(keras.src.optimizers.optimizer.Optimizer) - | Lion(learning_rate=0.001, beta_1=0.9, beta_2=0.99, weight_decay=None, clipnorm=None, clipvalue=None, global_clipnorm=None, use_ema=False, ema_momentum=0.99, ema_overwrite_frequency=None, name='lion', **kwargs) + | Lion(learning_rate=0.001, beta_1=0.9, beta_2=0.99, weight_decay=None, clipnorm=None, clipvalue=None, global_clipnorm=None, use_ema=False, ema_momentum=0.99, ema_overwrite_frequency=None, loss_scale_factor=None, gradient_accumulation_steps=None, name='lion', **kwargs) | | Optimizer that implements the Lion algorithm. | @@ -107,6 +107,8 @@ class Lion(keras.src.optimizers.optimizer.Optimizer) | use_ema=False, | ema_momentum=0.99, | ema_overwrite_frequency=None, + | loss_scale_factor=None, + | gradient_accumulation_steps=None, | name='lion', | **kwargs | ) diff --git a/.tether/man/optimizer_nadam.txt b/.tether/man/optimizer_nadam.txt index 27e0a61fa..5890b8c9c 100644 --- a/.tether/man/optimizer_nadam.txt +++ b/.tether/man/optimizer_nadam.txt @@ -1,7 +1,7 @@ Help on class Nadam in module keras.src.optimizers.nadam: class Nadam(keras.src.optimizers.optimizer.Optimizer) - | Nadam(learning_rate=0.001, beta_1=0.9, beta_2=0.999, epsilon=1e-07, weight_decay=None, clipnorm=None, clipvalue=None, global_clipnorm=None, use_ema=False, ema_momentum=0.99, ema_overwrite_frequency=None, name='nadam', **kwargs) + | Nadam(learning_rate=0.001, beta_1=0.9, beta_2=0.999, epsilon=1e-07, weight_decay=None, clipnorm=None, clipvalue=None, global_clipnorm=None, use_ema=False, ema_momentum=0.99, ema_overwrite_frequency=None, loss_scale_factor=None, gradient_accumulation_steps=None, name='nadam', **kwargs) | | Optimizer that implements the Nadam algorithm. | @@ -102,6 +102,8 @@ class Nadam(keras.src.optimizers.optimizer.Optimizer) | use_ema=False, | ema_momentum=0.99, | ema_overwrite_frequency=None, + | loss_scale_factor=None, + | gradient_accumulation_steps=None, | name='nadam', | **kwargs | ) diff --git a/.tether/man/optimizer_rmsprop.txt b/.tether/man/optimizer_rmsprop.txt index 07ecc809d..3ffb2b8b2 100644 --- a/.tether/man/optimizer_rmsprop.txt +++ b/.tether/man/optimizer_rmsprop.txt @@ -118,7 +118,8 @@ class RMSprop(keras.src.optimizers.optimizer.Optimizer) | global_clipnorm=None, | use_ema=False, | ema_momentum=0.99, - | ema_overwrite_frequency=100, + | loss_scale_factor=None, + | gradient_accumulation_steps=None, | name='rmsprop', | **kwargs | ) diff --git a/.tether/man/optimizer_sgd.txt b/.tether/man/optimizer_sgd.txt index accb1b3b8..ec74522ba 100644 --- a/.tether/man/optimizer_sgd.txt +++ b/.tether/man/optimizer_sgd.txt @@ -1,7 +1,7 @@ Help on class SGD in module keras.src.optimizers.sgd: class SGD(keras.src.optimizers.optimizer.Optimizer) - | SGD(learning_rate=0.01, momentum=0.0, nesterov=False, weight_decay=None, clipnorm=None, clipvalue=None, global_clipnorm=None, use_ema=False, ema_momentum=0.99, ema_overwrite_frequency=None, name='SGD', **kwargs) + | SGD(learning_rate=0.01, momentum=0.0, nesterov=False, weight_decay=None, clipnorm=None, clipvalue=None, global_clipnorm=None, use_ema=False, ema_momentum=0.99, ema_overwrite_frequency=None, loss_scale_factor=None, gradient_accumulation_steps=None, name='SGD', **kwargs) | | Gradient descent (with momentum) optimizer. | @@ -106,6 +106,8 @@ class SGD(keras.src.optimizers.optimizer.Optimizer) | use_ema=False, | ema_momentum=0.99, | ema_overwrite_frequency=None, + | loss_scale_factor=None, + | gradient_accumulation_steps=None, | name='SGD', | **kwargs | ) From 1b12c09069cb8e48e862ce430816d513bb1e2bda Mon Sep 17 00:00:00 2001 From: Tomasz Kalinowski Date: Tue, 23 Apr 2024 09:35:11 -0400 Subject: [PATCH 04/38] new arg default: `optimizer_rmsprop(ema_overwrite_frequency = NULL)` --- .tether/man/optimizer_rmsprop.txt | 3 ++- R/optimizers.R | 2 +- 2 files changed, 3 insertions(+), 2 deletions(-) diff --git a/.tether/man/optimizer_rmsprop.txt b/.tether/man/optimizer_rmsprop.txt index 3ffb2b8b2..a6a84fe10 100644 --- a/.tether/man/optimizer_rmsprop.txt +++ b/.tether/man/optimizer_rmsprop.txt @@ -1,7 +1,7 @@ Help on class RMSprop in module keras.src.optimizers.rmsprop: class RMSprop(keras.src.optimizers.optimizer.Optimizer) - | RMSprop(learning_rate=0.001, rho=0.9, momentum=0.0, epsilon=1e-07, centered=False, weight_decay=None, clipnorm=None, clipvalue=None, global_clipnorm=None, use_ema=False, ema_momentum=0.99, ema_overwrite_frequency=100, name='rmsprop', **kwargs) + | RMSprop(learning_rate=0.001, rho=0.9, momentum=0.0, epsilon=1e-07, centered=False, weight_decay=None, clipnorm=None, clipvalue=None, global_clipnorm=None, use_ema=False, ema_momentum=0.99, ema_overwrite_frequency=None, loss_scale_factor=None, gradient_accumulation_steps=None, name='rmsprop', **kwargs) | | Optimizer that implements the RMSprop algorithm. | @@ -118,6 +118,7 @@ class RMSprop(keras.src.optimizers.optimizer.Optimizer) | global_clipnorm=None, | use_ema=False, | ema_momentum=0.99, + | ema_overwrite_frequency=None, | loss_scale_factor=None, | gradient_accumulation_steps=None, | name='rmsprop', diff --git a/R/optimizers.R b/R/optimizers.R index 4d77b1a1b..c6d6f86ed 100644 --- a/R/optimizers.R +++ b/R/optimizers.R @@ -1381,7 +1381,7 @@ optimizer_rmsprop <- function (learning_rate = 0.001, rho = 0.9, momentum = 0, epsilon = 1e-07, centered = FALSE, weight_decay = NULL, clipnorm = NULL, clipvalue = NULL, global_clipnorm = NULL, use_ema = FALSE, ema_momentum = 0.99, - ema_overwrite_frequency = 100L, name = "rmsprop", ..., loss_scale_factor = NULL, + ema_overwrite_frequency = NULL, name = "rmsprop", ..., loss_scale_factor = NULL, gradient_accumulation_steps = NULL) { args <- capture_args(list(ema_overwrite_frequency = as_integer, From cf18f4a9ecbb03d802000e8ce26aab0007f06a67 Mon Sep 17 00:00:00 2001 From: Tomasz Kalinowski Date: Tue, 23 Apr 2024 09:40:33 -0400 Subject: [PATCH 05/38] new args: `op_nan_to_num(nan, posinf, neginf)` --- .tether/man/op_nan_to_num.txt | 13 ++++++++++++- R/ops.R | 21 +++++++++++++++++++-- 2 files changed, 31 insertions(+), 3 deletions(-) diff --git a/.tether/man/op_nan_to_num.txt b/.tether/man/op_nan_to_num.txt index ae3a869e2..703a81860 100644 --- a/.tether/man/op_nan_to_num.txt +++ b/.tether/man/op_nan_to_num.txt @@ -1,10 +1,21 @@ __signature__ -keras.ops.nan_to_num(x) +keras.ops.nan_to_num( + x, + nan=0.0, + posinf=None, + neginf=None +) __doc__ Replace NaN with zero and infinity with large finite numbers. Args: x: Input data. + nan: Optional float or int. Value to replace `NaN` entries with. + posinf: Optional float or int. + Value to replace positive infinity with. + neginf: Optional float or int. + Value to replace negative infinity with. Returns: `x`, with non-finite values replaced. + diff --git a/R/ops.R b/R/ops.R index fb34d9796..24a1a2389 100644 --- a/R/ops.R +++ b/R/ops.R @@ -5644,6 +5644,21 @@ keras$ops$multiply(x1, x2) #' @param x #' Input data. #' +#' @param nan +#' Optional float or int. Value to replace `NaN` entries with. +#' +#' @param posinf +#' Optional float or int. Value to replace positive infinity with. +#' +#' @param neginf +#' Optional float or int. Value to replace negative infinity with. +#' +#' ```{r} +#' (x <- op_convert_to_tensor(c(1, NaN, -Inf, Inf))) +#' op_nan_to_num(x) +#' op_nan_to_num(x, nan = -1, posinf = 2, neginf = -2) +#' ``` +#' #' @export #' @family numpy ops #' @family ops @@ -5652,8 +5667,10 @@ keras$ops$multiply(x1, x2) # + #' @tether keras.ops.nan_to_num op_nan_to_num <- -function (x) -keras$ops$nan_to_num(x) +function (x, nan = 0, posinf = NULL, neginf = NULL) { + args <- capture_args() + do.call(keras$ops$nan_to_num, args) +} #' Return the number of dimensions of a tensor. From 69126aed29b8517aac9373e3b945ae5cfc4dd79c Mon Sep 17 00:00:00 2001 From: Tomasz Kalinowski Date: Tue, 23 Apr 2024 09:41:28 -0400 Subject: [PATCH 06/38] formatting fix --- .tether/man/op_min.txt | 5 +++-- R/ops.R | 4 ++-- 2 files changed, 5 insertions(+), 4 deletions(-) diff --git a/.tether/man/op_min.txt b/.tether/man/op_min.txt index 59460e14c..7f019437c 100644 --- a/.tether/man/op_min.txt +++ b/.tether/man/op_min.txt @@ -13,8 +13,9 @@ Args: axis: Axis or axes along which to operate. By default, flattened input is used. keepdims: If this is set to `True`, the axes which are reduced are left - in the result as dimensions with size one. Defaults to`False`. - initial: The maximum value of an output element. Defaults to`None`. + in the result as dimensions with size one. Defaults to `False`. + initial: The maximum value of an output element. Defaults to `None`. Returns: Minimum of `x`. + diff --git a/R/ops.R b/R/ops.R index 24a1a2389..a689f7ae4 100644 --- a/R/ops.R +++ b/R/ops.R @@ -5499,10 +5499,10 @@ function (..., indexing = "xy") #' #' @param keepdims #' If this is set to `TRUE`, the axes which are reduced are left -#' in the result as dimensions with size one. Defaults to`FALSE`. +#' in the result as dimensions with size one. Defaults to `FALSE`. #' #' @param initial -#' The maximum value of an output element. Defaults to`NULL`. +#' The maximum value of an output element. Defaults to `NULL`. #' #' @export #' @aliases op_amin From 948c8831df34c4c25d3ba92836a5b530749788df Mon Sep 17 00:00:00 2001 From: Tomasz Kalinowski Date: Tue, 23 Apr 2024 09:45:11 -0400 Subject: [PATCH 07/38] doc formatting fixes; upstream examples require `keras.src` imports now --- .tether/man/op_any.txt | 3 ++- .tether/man/op_diag.txt | 3 ++- .tether/man/op_diagonal.txt | 3 ++- .tether/man/op_diff.txt | 3 ++- .tether/man/op_einsum.txt | 3 ++- .tether/man/op_linspace.txt | 3 ++- .tether/man/op_logspace.txt | 3 ++- .tether/man/op_max.txt | 5 +++-- .tether/man/op_meshgrid.txt | 2 +- R/ops.R | 8 ++++---- 10 files changed, 22 insertions(+), 14 deletions(-) diff --git a/.tether/man/op_any.txt b/.tether/man/op_any.txt index 26feb18da..9850a9ce0 100644 --- a/.tether/man/op_any.txt +++ b/.tether/man/op_any.txt @@ -16,7 +16,7 @@ Args: for the last to the first axis. keepdims: If `True`, axes which are reduced are left in the result as dimensions with size one. With this option, the result will - broadcast correctly against the input array. Defaults to`False`. + broadcast correctly against the input array. Defaults to `False`. Returns: The tensor containing the logical OR reduction over the `axis`. @@ -34,3 +34,4 @@ array([ True True], shape=(2,), dtype=bool) >>> x = keras.ops.convert_to_tensor([[True, False], [True, True]]) >>> keras.ops.all(x, keepdims=True) array([[False]], shape=(1, 1), dtype=bool) + diff --git a/.tether/man/op_diag.txt b/.tether/man/op_diag.txt index e3d8e5f11..875976e09 100644 --- a/.tether/man/op_diag.txt +++ b/.tether/man/op_diag.txt @@ -14,7 +14,7 @@ Returns: The extracted diagonal or constructed diagonal tensor. Examples: ->>> from keras import ops +>>> from keras.src import ops >>> x = ops.arange(9).reshape((3, 3)) >>> x array([[0, 1, 2], @@ -32,3 +32,4 @@ array([3, 7]) array([[0, 0, 0], [0, 4, 0], [0, 0, 8]]) + diff --git a/.tether/man/op_diagonal.txt b/.tether/man/op_diagonal.txt index 6fb5dca16..6aa941ac5 100644 --- a/.tether/man/op_diagonal.txt +++ b/.tether/man/op_diagonal.txt @@ -32,7 +32,7 @@ Returns: Tensor of diagonals. Examples: ->>> from keras import ops +>>> from keras.src import ops >>> x = ops.arange(4).reshape((2, 2)) >>> x array([[0, 1], @@ -51,3 +51,4 @@ array([[[0, 1], >>> x.diagonal(0, 0, 1) array([[0, 6], [1, 7]]) + diff --git a/.tether/man/op_diff.txt b/.tether/man/op_diff.txt index 4d265932b..37f439e67 100644 --- a/.tether/man/op_diff.txt +++ b/.tether/man/op_diff.txt @@ -21,7 +21,7 @@ Returns: Tensor of diagonals. Examples: ->>> from keras import ops +>>> from keras.src import ops >>> x = ops.convert_to_tensor([1, 2, 4, 7, 0]) >>> ops.diff(x) array([ 1, 2, 3, -7]) @@ -34,3 +34,4 @@ array([[2, 3, 4], [5, 1, 2]]) >>> ops.diff(x, axis=0) array([[-1, 2, 0, -2]]) + diff --git a/.tether/man/op_einsum.txt b/.tether/man/op_einsum.txt index 7fce8b839..9591c8a54 100644 --- a/.tether/man/op_einsum.txt +++ b/.tether/man/op_einsum.txt @@ -15,7 +15,7 @@ Returns: The calculation based on the Einstein summation convention. Example: ->>> from keras import ops +>>> from keras.src import ops >>> a = ops.arange(25).reshape(5, 5) >>> b = ops.arange(5) >>> c = ops.arange(6).reshape(2, 3) @@ -82,3 +82,4 @@ array([ 30, 80, 130, 180, 230]) array([ 30, 80, 130, 180, 230]) >>> ops.einsum("...j, j", a, b) array([ 30, 80, 130, 180, 230]) + diff --git a/.tether/man/op_linspace.txt b/.tether/man/op_linspace.txt index d5521935d..bf1443531 100644 --- a/.tether/man/op_linspace.txt +++ b/.tether/man/op_linspace.txt @@ -25,7 +25,7 @@ Args: num: Number of samples to generate. Defaults to `50`. Must be non-negative. endpoint: If `True`, `stop` is the last sample. Otherwise, it is - not included. Defaults to`True`. + not included. Defaults to `True`. retstep: If `True`, return `(samples, step)`, where `step` is the spacing between samples. dtype: The type of the output tensor. @@ -38,3 +38,4 @@ Note: Returns: A tensor of evenly spaced numbers. If `retstep` is `True`, returns `(samples, step)` + diff --git a/.tether/man/op_logspace.txt b/.tether/man/op_logspace.txt index f126ebe40..34d457b49 100644 --- a/.tether/man/op_logspace.txt +++ b/.tether/man/op_logspace.txt @@ -22,7 +22,7 @@ Args: are returned. num: Number of samples to generate. Defaults to `50`. endpoint: If `True`, `stop` is the last sample. Otherwise, it is not - included. Defaults to`True`. + included. Defaults to `True`. base: The base of the log space. Defaults to `10`. dtype: The type of the output tensor. axis: The axis in the result to store the samples. Relevant only @@ -33,3 +33,4 @@ Note: Returns: A tensor of evenly spaced samples on a log scale. + diff --git a/.tether/man/op_max.txt b/.tether/man/op_max.txt index fa1b71dcb..5fde2f88e 100644 --- a/.tether/man/op_max.txt +++ b/.tether/man/op_max.txt @@ -13,8 +13,9 @@ Args: axis: Axis or axes along which to operate. By default, flattened input is used. keepdims: If this is set to `True`, the axes which are reduced are left - in the result as dimensions with size one. Defaults to`False`. - initial: The minimum value of an output element. Defaults to`None`. + in the result as dimensions with size one. Defaults to `False`. + initial: The minimum value of an output element. Defaults to `None`. Returns: Maximum of `x`. + diff --git a/.tether/man/op_meshgrid.txt b/.tether/man/op_meshgrid.txt index 237aa6ecf..eb6a03c73 100644 --- a/.tether/man/op_meshgrid.txt +++ b/.tether/man/op_meshgrid.txt @@ -17,7 +17,7 @@ Returns: Sequence of N tensors. Example: ->>> from keras import ops +>>> from keras.src import ops >>> x = ops.array([1, 2, 3]) >>> y = ops.array([4, 5, 6]) diff --git a/R/ops.R b/R/ops.R index a689f7ae4..fdef048f8 100644 --- a/R/ops.R +++ b/R/ops.R @@ -4956,7 +4956,7 @@ keras$ops$less_equal(x1, x2) #' #' @param endpoint #' If `TRUE`, `stop` is the last sample. Otherwise, it is -#' not included. Defaults to`TRUE`. +#' not included. Defaults to `TRUE`. #' #' @param retstep #' If `TRUE`, return `(samples, step)`, where `step` is the @@ -5224,7 +5224,7 @@ keras$ops$logical_xor(x1, x2) #' #' @param endpoint #' If `TRUE`, `stop` is the last sample. Otherwise, it is not -#' included. Defaults to`TRUE`. +#' included. Defaults to `TRUE`. #' #' @param base #' The base of the log space. Defaults to `10`. @@ -5310,10 +5310,10 @@ keras$ops$matmul(x1, x2) #' #' @param keepdims #' If this is set to `TRUE`, the axes which are reduced are left -#' in the result as dimensions with size one. Defaults to`FALSE`. +#' in the result as dimensions with size one. Defaults to `FALSE`. #' #' @param initial -#' The minimum value of an output element. Defaults to`NULL`. +#' The minimum value of an output element. Defaults to `NULL`. #' #' @export #' @aliases op_amax From 8cb7e03cf957b14e0ec19c1f1c1c8d0279d44053 Mon Sep 17 00:00:00 2001 From: Tomasz Kalinowski Date: Tue, 23 Apr 2024 09:49:37 -0400 Subject: [PATCH 08/38] new args: `op_image_resize(crop_to_aspect_ratio, pad_to_aspect_ratio, fill_mode, fill_value) --- .tether/man/op_image_resize.txt | 21 +++++++++++++++++++++ R/ops-image.R | 26 ++++++++++++++++++++++++++ 2 files changed, 47 insertions(+) diff --git a/.tether/man/op_image_resize.txt b/.tether/man/op_image_resize.txt index 7acd90d21..a57a6acb0 100644 --- a/.tether/man/op_image_resize.txt +++ b/.tether/man/op_image_resize.txt @@ -4,6 +4,10 @@ keras.ops.image.resize( size, interpolation='bilinear', antialias=False, + crop_to_aspect_ratio=False, + pad_to_aspect_ratio=False, + fill_mode='constant', + fill_value=0.0, data_format='channels_last' ) __doc__ @@ -16,6 +20,22 @@ Args: `"bilinear"`, and `"bicubic"`. Defaults to `"bilinear"`. antialias: Whether to use an antialiasing filter when downsampling an image. Defaults to `False`. + crop_to_aspect_ratio: If `True`, resize the images without aspect + ratio distortion. When the original aspect ratio differs + from the target aspect ratio, the output image will be + cropped so as to return the + largest possible window in the image (of size `(height, width)`) + that matches the target aspect ratio. By default + (`crop_to_aspect_ratio=False`), aspect ratio may not be preserved. + pad_to_aspect_ratio: If `True`, pad the images without aspect + ratio distortion. When the original aspect ratio differs + from the target aspect ratio, the output image will be + evenly padded on the short side. + fill_mode: When using `pad_to_aspect_ratio=True`, padded areas + are filled according to the given mode. Only `"constant"` is + supported at this time + (fill with constant value, equal to `fill_value`). + fill_value: Float. Padding value to use when `pad_to_aspect_ratio=True`. data_format: string, either `"channels_last"` or `"channels_first"`. The ordering of the dimensions in the inputs. `"channels_last"` corresponds to inputs with shape `(batch, height, width, channels)` @@ -45,3 +65,4 @@ Examples: ... data_format="channels_first") >>> y.shape (2, 3, 2, 2) + diff --git a/R/ops-image.R b/R/ops-image.R index 4f89d3f32..eb9cdb310 100644 --- a/R/ops-image.R +++ b/R/ops-image.R @@ -339,6 +339,30 @@ function (images, top_padding = NULL, left_padding = NULL, target_height = NULL, #' Whether to use an antialiasing filter when downsampling an #' image. Defaults to `FALSE`. #' +#' @param crop_to_aspect_ratio +#' If `TRUE`, resize the images without aspect +#' ratio distortion. When the original aspect ratio differs +#' from the target aspect ratio, the output image will be +#' cropped so as to return the +#' largest possible window in the image (of size `(height, width)`) +#' that matches the target aspect ratio. By default +#' (`crop_to_aspect_ratio=FALSE`), aspect ratio may not be preserved. +#' +#' @param pad_to_aspect_ratio +#' If `TRUE`, pad the images without aspect +#' ratio distortion. When the original aspect ratio differs +#' from the target aspect ratio, the output image will be +#' evenly padded on the short side. +#' +#' @param fill_mode +#' When using `pad_to_aspect_ratio=TRUE`, padded areas +#' are filled according to the given mode. Only `"constant"` is +#' supported at this time +#' (fill with constant value, equal to `fill_value`). +#' +#' @param fill_value +#' Float. Padding value to use when `pad_to_aspect_ratio=TRUE`. +#' #' @param data_format #' string, either `"channels_last"` or `"channels_first"`. #' The ordering of the dimensions in the inputs. `"channels_last"` @@ -359,6 +383,8 @@ function (images, top_padding = NULL, left_padding = NULL, target_height = NULL, #' @tether keras.ops.image.resize op_image_resize <- function (image, size, interpolation = "bilinear", antialias = FALSE, + crop_to_aspect_ratio = FALSE, pad_to_aspect_ratio = FALSE, + fill_mode = "constant", fill_value = 0, data_format = "channels_last") { args <- capture_args(list(size = as_integer)) From 1273daabf80c24c6491ffcb61d4c33fae0927925 Mon Sep 17 00:00:00 2001 From: Tomasz Kalinowski Date: Tue, 23 Apr 2024 09:57:58 -0400 Subject: [PATCH 09/38] new arg: `op_argmax(keepdims)` and `op_argmin(keepdims)` --- .tether/man/op_argmax.txt | 9 ++++++++- .tether/man/op_argmin.txt | 9 ++++++++- R/ops.R | 12 ++++++++++-- 3 files changed, 26 insertions(+), 4 deletions(-) diff --git a/.tether/man/op_argmax.txt b/.tether/man/op_argmax.txt index 6f3046c76..85d8cbff0 100644 --- a/.tether/man/op_argmax.txt +++ b/.tether/man/op_argmax.txt @@ -1,5 +1,9 @@ __signature__ -keras.ops.argmax(x, axis=None) +keras.ops.argmax( + x, + axis=None, + keepdims=False +) __doc__ Returns the indices of the maximum values along an axis. @@ -7,6 +11,8 @@ Args: x: Input tensor. axis: By default, the index is into the flattened tensor, otherwise along the specified axis. + keepdims: If this is set to `True`, the axes which are reduced are left + in the result as dimensions with size one. Defaults to `False`. Returns: Tensor of indices. It has the same shape as `x`, with the dimension @@ -23,3 +29,4 @@ array(5, dtype=int32) array([1, 1, 1], dtype=int32) >>> keras.ops.argmax(x, axis=1) array([2, 2], dtype=int32) + diff --git a/.tether/man/op_argmin.txt b/.tether/man/op_argmin.txt index 83cc19b5c..89e18f534 100644 --- a/.tether/man/op_argmin.txt +++ b/.tether/man/op_argmin.txt @@ -1,5 +1,9 @@ __signature__ -keras.ops.argmin(x, axis=None) +keras.ops.argmin( + x, + axis=None, + keepdims=False +) __doc__ Returns the indices of the minium values along an axis. @@ -7,6 +11,8 @@ Args: x: Input tensor. axis: By default, the index is into the flattened tensor, otherwise along the specified axis. + keepdims: If this is set to `True`, the axes which are reduced are left + in the result as dimensions with size one. Defaults to `False`. Returns: Tensor of indices. It has the same shape as `x`, with the dimension @@ -23,3 +29,4 @@ array(0, dtype=int32) array([0, 0, 0], dtype=int32) >>> keras.ops.argmin(x, axis=1) array([0, 0], dtype=int32) + diff --git a/R/ops.R b/R/ops.R index fdef048f8..ebcc5cda6 100644 --- a/R/ops.R +++ b/R/ops.R @@ -3313,6 +3313,10 @@ keras$ops$arctanh(x) #' By default, the index is into the flattened tensor, otherwise #' along the specified axis. #' +#' @param keepdims +#' If this is set to `TRUE`, the axes which are reduced are left +#' in the result as dimensions with size one. Defaults to `FALSE`. +#' #' @export #' @family numpy ops #' @family ops @@ -3321,7 +3325,7 @@ keras$ops$arctanh(x) # + #' @tether keras.ops.argmax op_argmax <- -function (x, axis = NULL) +function (x, axis = NULL, keepdims = FALSE) { args <- capture_args(list(axis = as_axis)) do.call(keras$ops$argmax, args) @@ -3356,6 +3360,10 @@ function (x, axis = NULL) #' By default, the index is into the flattened tensor, otherwise #' along the specified axis. #' +#' @param keepdims +#' If this is set to `TRUE`, the axes which are reduced are left +#' in the result as dimensions with size one. Defaults to `FALSE`. +#' #' @export #' @family numpy ops #' @family ops @@ -3364,7 +3372,7 @@ function (x, axis = NULL) # + #' @tether keras.ops.argmin op_argmin <- -function (x, axis = NULL) +function (x, axis = NULL, keepdims = FALSE) { args <- capture_args(list(axis = as_axis)) do.call(keras$ops$argmin, args) From dacea4f9ded5277cdad02a14fd150c8a6553bed5 Mon Sep 17 00:00:00 2001 From: Tomasz Kalinowski Date: Tue, 23 Apr 2024 09:58:24 -0400 Subject: [PATCH 10/38] formatting fix --- .tether/man/op_all.txt | 3 ++- R/ops.R | 2 +- 2 files changed, 3 insertions(+), 2 deletions(-) diff --git a/.tether/man/op_all.txt b/.tether/man/op_all.txt index 70d4a2019..e4bf75d30 100644 --- a/.tether/man/op_all.txt +++ b/.tether/man/op_all.txt @@ -16,7 +16,7 @@ Args: for the last to the first axis. keepdims: If `True`, axes which are reduced are left in the result as dimensions with size one. With this option, the result will - broadcast correctly against the input array. Defaults to`False`. + broadcast correctly against the input array. Defaults to `False`. Returns: The tensor containing the logical AND reduction over the `axis`. @@ -34,3 +34,4 @@ array([ True False], shape=(2,), dtype=bool) >>> x = keras.ops.convert_to_tensor([[True, False], [True, True]]) >>> keras.ops.all(x, keepdims=True) array([[False]], shape=(1, 1), dtype=bool) + diff --git a/R/ops.R b/R/ops.R index ebcc5cda6..f2bbd526f 100644 --- a/R/ops.R +++ b/R/ops.R @@ -2773,7 +2773,7 @@ keras$ops$add(x1, x2) #' @param keepdims #' If `TRUE`, axes which are reduced are left in the result as #' dimensions with size one. With this option, the result will -#' broadcast correctly against the input array. Defaults to`FALSE`. +#' broadcast correctly against the input array. Defaults to `FALSE`. #' #' @export #' @family numpy ops From b678ea7d6acb2bf1e0ce5cbd1c45eaae3e854dad Mon Sep 17 00:00:00 2001 From: Tomasz Kalinowski Date: Tue, 23 Apr 2024 10:02:19 -0400 Subject: [PATCH 11/38] doc: `metric_kl_divergence()` clips inputs to `[0, 1]` range. --- .tether/man/metric_kl_divergence.txt | 4 ++++ R/metrics.R | 4 ++++ 2 files changed, 8 insertions(+) diff --git a/.tether/man/metric_kl_divergence.txt b/.tether/man/metric_kl_divergence.txt index 35ec84e7e..4af570fa0 100644 --- a/.tether/man/metric_kl_divergence.txt +++ b/.tether/man/metric_kl_divergence.txt @@ -12,6 +12,10 @@ class KLDivergence(keras.src.metrics.reduction_metrics.MeanMetricWrapper) | metric = y_true * log(y_true / y_pred) | ``` | + | `y_true` and `y_pred` are expected to be probability + | distributions, with values between 0 and 1. They will get + | clipped to the `[0, 1]` range. + | | Args: | name: (Optional) string name of the metric instance. | dtype: (Optional) data type of the metric result. diff --git a/R/metrics.R b/R/metrics.R index a197d1c4e..6706b0b2e 100644 --- a/R/metrics.R +++ b/R/metrics.R @@ -2760,6 +2760,10 @@ function (y_true, y_pred, from_logits = FALSE, label_smoothing = 0, #' loss <- y_true * log(y_true / y_pred) #' ``` #' +#' `y_true` and `y_pred` are expected to be probability +#' distributions, with values between 0 and 1. They will get +#' clipped to the `[0, 1]` range. +#' #' # Usage #' Standalone usage: #' From fa250907b636ce407d15be3c3f580fc7ebd2a9b9 Mon Sep 17 00:00:00 2001 From: Tomasz Kalinowski Date: Tue, 23 Apr 2024 10:03:32 -0400 Subject: [PATCH 12/38] doc: `loss_kl_divergence()` clips inputs to `[0, 1]` range --- .tether/man/loss_kl_divergence.txt | 5 +++++ R/losses.R | 4 ++++ 2 files changed, 9 insertions(+) diff --git a/.tether/man/loss_kl_divergence.txt b/.tether/man/loss_kl_divergence.txt index 492649cea..55eb40469 100644 --- a/.tether/man/loss_kl_divergence.txt +++ b/.tether/man/loss_kl_divergence.txt @@ -11,6 +11,10 @@ class KLDivergence(LossFunctionWrapper) | loss = y_true * log(y_true / y_pred) | ``` | + | `y_true` and `y_pred` are expected to be probability + | distributions, with values between 0 and 1. They will get + | clipped to the `[0, 1]` range. + | | Args: | reduction: Type of reduction to apply to the loss. In almost all cases | this should be `"sum_over_batch_size"`. @@ -34,3 +38,4 @@ class KLDivergence(LossFunctionWrapper) | | get_config(self) | + diff --git a/R/losses.R b/R/losses.R index 19984252b..5ea29205d 100644 --- a/R/losses.R +++ b/R/losses.R @@ -944,6 +944,10 @@ function (y_true, y_pred, delta = 1, ..., reduction = "sum_over_batch_size", #' loss <- y_true * log(y_true / y_pred) #' ``` #' +#' `y_true` and `y_pred` are expected to be probability +#' distributions, with values between 0 and 1. They will get +#' clipped to the `[0, 1]` range. +#' #' # Examples #' ```{r} #' y_true <- random_uniform(c(2, 3), 0, 2) From f4fd4fcdd2257a147bf2d50b16877b8194479ddf Mon Sep 17 00:00:00 2001 From: Tomasz Kalinowski Date: Tue, 23 Apr 2024 10:06:56 -0400 Subject: [PATCH 13/38] new `Layer()` attrs: `metrics`, `dtype_policy` --- .tether/man/Layer.txt | 5 +++++ R/Layer.R | 5 +++++ 2 files changed, 10 insertions(+) diff --git a/.tether/man/Layer.txt b/.tether/man/Layer.txt index 376926827..db0e84e96 100644 --- a/.tether/man/Layer.txt +++ b/.tether/man/Layer.txt @@ -442,6 +442,9 @@ class Layer(keras.src.backend.tensorflow.layer.TFLayer, keras.src.ops.operation. | losses | List of scalar losses from `add_loss`, regularizers and sublayers. | + | metrics + | List of all metrics. + | | metrics_variables | List of all metric variables. | @@ -488,6 +491,8 @@ class Layer(keras.src.backend.tensorflow.layer.TFLayer, keras.src.ops.operation. | ---------------------------------------------------------------------- | Data descriptors defined here: | + | dtype_policy + | | input_spec | | supports_masking diff --git a/R/Layer.R b/R/Layer.R index 3962b16e3..0eed99e4e 100644 --- a/R/Layer.R +++ b/R/Layer.R @@ -505,6 +505,9 @@ #' * `losses` #' List of scalar losses from `add_loss()`, regularizers and sublayers. #' +#' * `metrics` +#' List of all metrics. +#' #' * `metrics_variables` #' List of all metric variables. #' @@ -568,6 +571,8 @@ #' #' # Data descriptors (Attributes): #' +#' * `dtype_policy` +#' #' * `input_spec` #' #' * `supports_masking` From df13a3ff9dbdad5aa22bb3bbad21741ea05a8e2a Mon Sep 17 00:00:00 2001 From: Tomasz Kalinowski Date: Tue, 23 Apr 2024 10:08:36 -0400 Subject: [PATCH 14/38] upstream examples now `import keras.src` --- .tether/man/layer_dense.txt | 5 +++++ .tether/man/layer_einsum_dense.txt | 5 +++++ .tether/man/layer_embedding.txt | 5 +++++ .tether/man/layer_rnn.txt | 4 ++-- .tether/man/layer_torch_module_wrapper.txt | 2 +- 5 files changed, 18 insertions(+), 3 deletions(-) diff --git a/.tether/man/layer_dense.txt b/.tether/man/layer_dense.txt index 130f7fc9e..8018b89d2 100644 --- a/.tether/man/layer_dense.txt +++ b/.tether/man/layer_dense.txt @@ -138,4 +138,9 @@ class Dense(keras.src.layers.layer.Layer) | | kernel | + | ---------------------------------------------------------------------- + | Data and other attributes defined here: + | + | QUANTIZATION_MODE_ERROR_TEMPLATE = "Invalid quantization mode. Expecte... + | diff --git a/.tether/man/layer_einsum_dense.txt b/.tether/man/layer_einsum_dense.txt index cd8daffaf..cc8386f3c 100644 --- a/.tether/man/layer_einsum_dense.txt +++ b/.tether/man/layer_einsum_dense.txt @@ -177,4 +177,9 @@ class EinsumDense(keras.src.layers.layer.Layer) | | kernel | + | ---------------------------------------------------------------------- + | Data and other attributes defined here: + | + | QUANTIZATION_MODE_ERROR_TEMPLATE = "Invalid quantization mode. Expecte... + | diff --git a/.tether/man/layer_embedding.txt b/.tether/man/layer_embedding.txt index b3fa2edcd..5eb22cca8 100644 --- a/.tether/man/layer_embedding.txt +++ b/.tether/man/layer_embedding.txt @@ -142,4 +142,9 @@ class Embedding(keras.src.layers.layer.Layer) | | embeddings | + | ---------------------------------------------------------------------- + | Data and other attributes defined here: + | + | QUANTIZATION_MODE_ERROR_TEMPLATE = "Invalid quantization mode. Expecte... + | diff --git a/.tether/man/layer_rnn.txt b/.tether/man/layer_rnn.txt index 9905f5278..79b0e334c 100644 --- a/.tether/man/layer_rnn.txt +++ b/.tether/man/layer_rnn.txt @@ -125,8 +125,8 @@ class RNN(keras.src.layers.layer.Layer) | Examples: | | ```python - | from keras.layers import RNN - | from keras import ops + | from keras.src.layers import RNN + | from keras.src import ops | | # First, let's define a RNN Cell, as a layer subclass. | class MinimalRNNCell(keras.layers.Layer): diff --git a/.tether/man/layer_torch_module_wrapper.txt b/.tether/man/layer_torch_module_wrapper.txt index 0c91aba34..e1a1ffe96 100644 --- a/.tether/man/layer_torch_module_wrapper.txt +++ b/.tether/man/layer_torch_module_wrapper.txt @@ -26,7 +26,7 @@ class TorchModuleWrapper(keras.src.layers.layer.Layer) | import torch.nn.functional as F | | import keras - | from keras.layers import TorchModuleWrapper + | from keras.src.layers import TorchModuleWrapper | | class Classifier(keras.Model): | def __init__(self, **kwargs): From ba289fbdbe6722ded0ca712c114c012982ee44d3 Mon Sep 17 00:00:00 2001 From: Tomasz Kalinowski Date: Tue, 23 Apr 2024 10:09:37 -0400 Subject: [PATCH 15/38] doc tweak `layer_random_zoom` --- .tether/man/layer_random_zoom.txt | 2 +- R/layers-preprocessing.R | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/.tether/man/layer_random_zoom.txt b/.tether/man/layer_random_zoom.txt index 5676b4dbf..f67ab391a 100644 --- a/.tether/man/layer_random_zoom.txt +++ b/.tether/man/layer_random_zoom.txt @@ -65,7 +65,7 @@ class RandomZoom(keras.src.layers.preprocessing.tf_data_layer.TFDataLayer) | interpolation: Interpolation mode. Supported values: `"nearest"`, | `"bilinear"`. | seed: Integer. Used to create a random seed. - | fill_value: a float represents the value to be filled outside + | fill_value: a float that represents the value to be filled outside | the boundaries when `fill_mode="constant"`. | data_format: string, either `"channels_last"` or `"channels_first"`. | The ordering of the dimensions in the inputs. `"channels_last"` diff --git a/R/layers-preprocessing.R b/R/layers-preprocessing.R index 2961bba72..d266ccf34 100644 --- a/R/layers-preprocessing.R +++ b/R/layers-preprocessing.R @@ -1563,7 +1563,7 @@ function (object, height_factor, width_factor, fill_mode = "reflect", #' Integer. Used to create a random seed. #' #' @param fill_value -#' a float represents the value to be filled outside +#' a float that represents the value to be filled outside #' the boundaries when `fill_mode="constant"`. #' #' @param data_format From 758bc89db175c264db44e165ac921d56529719b1 Mon Sep 17 00:00:00 2001 From: Tomasz Kalinowski Date: Tue, 23 Apr 2024 10:12:35 -0400 Subject: [PATCH 16/38] new args: `layer_resizing(pad_to_aspect_ratio, fill_mode, fill_value) --- .tether/man/layer_resizing.txt | 14 +++++++++++++- R/layers-preprocessing.R | 19 ++++++++++++++++++- 2 files changed, 31 insertions(+), 2 deletions(-) diff --git a/.tether/man/layer_resizing.txt b/.tether/man/layer_resizing.txt index d60d3ae34..54fa7fdbe 100644 --- a/.tether/man/layer_resizing.txt +++ b/.tether/man/layer_resizing.txt @@ -1,7 +1,7 @@ Help on class Resizing in module keras.src.layers.preprocessing.resizing: class Resizing(keras.src.layers.preprocessing.tf_data_layer.TFDataLayer) - | Resizing(height, width, interpolation='bilinear', crop_to_aspect_ratio=False, data_format=None, **kwargs) + | Resizing(height, width, interpolation='bilinear', crop_to_aspect_ratio=False, pad_to_aspect_ratio=False, fill_mode='constant', fill_value=0.0, data_format=None, **kwargs) | | A preprocessing layer which resizes images. | @@ -37,6 +37,15 @@ class Resizing(keras.src.layers.preprocessing.tf_data_layer.TFDataLayer) | largest possible window in the image (of size `(height, width)`) | that matches the target aspect ratio. By default | (`crop_to_aspect_ratio=False`), aspect ratio may not be preserved. + | pad_to_aspect_ratio: If `True`, pad the images without aspect + | ratio distortion. When the original aspect ratio differs + | from the target aspect ratio, the output image will be + | evenly padded on the short side. + | fill_mode: When using `pad_to_aspect_ratio=True`, padded areas + | are filled according to the given mode. Only `"constant"` is + | supported at this time + | (fill with constant value, equal to `fill_value`). + | fill_value: Float. Padding value to use when `pad_to_aspect_ratio=True`. | data_format: string, either `"channels_last"` or `"channels_first"`. | The ordering of the dimensions in the inputs. `"channels_last"` | corresponds to inputs with shape `(batch, height, width, channels)` @@ -66,6 +75,9 @@ class Resizing(keras.src.layers.preprocessing.tf_data_layer.TFDataLayer) | width, | interpolation='bilinear', | crop_to_aspect_ratio=False, + | pad_to_aspect_ratio=False, + | fill_mode='constant', + | fill_value=0.0, | data_format=None, | **kwargs | ) diff --git a/R/layers-preprocessing.R b/R/layers-preprocessing.R index d266ccf34..bd1641679 100644 --- a/R/layers-preprocessing.R +++ b/R/layers-preprocessing.R @@ -1698,6 +1698,21 @@ function (object, scale, offset = 0, ...) #' that matches the target aspect ratio. By default #' (`crop_to_aspect_ratio=FALSE`), aspect ratio may not be preserved. #' +#' @param pad_to_aspect_ratio +#' If `TRUE`, pad the images without aspect +#' ratio distortion. When the original aspect ratio differs +#' from the target aspect ratio, the output image will be +#' evenly padded on the short side. +#' +#' @param fill_mode +#' When using `pad_to_aspect_ratio=TRUE`, padded areas +#' are filled according to the given mode. Only `"constant"` is +#' supported at this time +#' (fill with constant value, equal to `fill_value`). +#' +#' @param fill_value +#' Float. Padding value to use when `pad_to_aspect_ratio=TRUE`. +#' #' @param data_format #' string, either `"channels_last"` or `"channels_first"`. #' The ordering of the dimensions in the inputs. `"channels_last"` @@ -1725,7 +1740,9 @@ function (object, scale, offset = 0, ...) #' @tether keras.layers.Resizing layer_resizing <- function (object, height, width, interpolation = "bilinear", - crop_to_aspect_ratio = FALSE, data_format = NULL, ...) + crop_to_aspect_ratio = FALSE, + pad_to_aspect_ratio = FALSE, fill_mode = "constant", fill_value = 0, + data_format = NULL, ...) { args <- capture_args(list(height = as_integer, width = as_integer, input_shape = normalize_shape, batch_size = as_integer, From d3ba52599f9e68d409794c56d23eb2a6820e2763 Mon Sep 17 00:00:00 2001 From: Tomasz Kalinowski Date: Tue, 23 Apr 2024 10:15:16 -0400 Subject: [PATCH 17/38] new method `layer_multi_head_attention()$compute_output_spec()` --- .tether/man/layer_multi_head_attention.txt | 14 ++++++++++++++ 1 file changed, 14 insertions(+) diff --git a/.tether/man/layer_multi_head_attention.txt b/.tether/man/layer_multi_head_attention.txt index 5b592bb3e..c9651aeed 100644 --- a/.tether/man/layer_multi_head_attention.txt +++ b/.tether/man/layer_multi_head_attention.txt @@ -144,6 +144,20 @@ class MultiHeadAttention(keras.src.layers.layer.Layer) | key_shape=None | ) | + | compute_output_spec( + | self, + | query, + | value, + | key=None, + | query_mask=None, + | value_mask=None, + | key_mask=None, + | attention_mask=None, + | return_attention_scores=False, + | training=None, + | use_causal_mask=False + | ) + | | get_config(self) | Returns the config of the object. | From 35a787b232ebfffcfc19566ada8e7321cf53aebd Mon Sep 17 00:00:00 2001 From: Tomasz Kalinowski Date: Tue, 23 Apr 2024 10:57:43 -0400 Subject: [PATCH 18/38] new arg: `layer_embedding(weights)` --- .tether/man/layer_embedding.txt | 6 +++++- R/layers-core.R | 7 ++++++- 2 files changed, 11 insertions(+), 2 deletions(-) diff --git a/.tether/man/layer_embedding.txt b/.tether/man/layer_embedding.txt index 5eb22cca8..966e9b03b 100644 --- a/.tether/man/layer_embedding.txt +++ b/.tether/man/layer_embedding.txt @@ -1,7 +1,7 @@ Help on class Embedding in module keras.src.layers.core.embedding: class Embedding(keras.src.layers.layer.Layer) - | Embedding(input_dim, output_dim, embeddings_initializer='uniform', embeddings_regularizer=None, embeddings_constraint=None, mask_zero=False, lora_rank=None, **kwargs) + | Embedding(input_dim, output_dim, embeddings_initializer='uniform', embeddings_regularizer=None, embeddings_constraint=None, mask_zero=False, weights=None, lora_rank=None, **kwargs) | | Turns positive integers (indexes) into dense vectors of fixed size. | @@ -43,6 +43,9 @@ class Embedding(keras.src.layers.layer.Layer) | If `mask_zero` is set to `True`, as a consequence, | index 0 cannot be used in the vocabulary (`input_dim` should | equal size of vocabulary + 1). + | weights: Optional floating-point matrix of size + | `(input_dim, output_dim)`. The initial embeddings values + | to use. | lora_rank: Optional integer. If set, the layer's forward pass | will implement LoRA (Low-Rank Adaptation) | with the provided rank. LoRA sets the layer's embeddings @@ -79,6 +82,7 @@ class Embedding(keras.src.layers.layer.Layer) | embeddings_regularizer=None, | embeddings_constraint=None, | mask_zero=False, + | weights=None, | lora_rank=None, | **kwargs | ) diff --git a/R/layers-core.R b/R/layers-core.R index b5464a641..5407a3a11 100644 --- a/R/layers-core.R +++ b/R/layers-core.R @@ -371,6 +371,11 @@ function (object, equation, output_shape, activation = NULL, #' index 0 cannot be used in the vocabulary (`input_dim` should #' equal size of vocabulary + 1). #' +#' @param weights +#' Optional floating-point matrix of size +#' `(input_dim, output_dim)`. The initial embeddings values +#' to use. +#' #' @param lora_rank #' Optional integer. If set, the layer's forward pass #' will implement LoRA (Low-Rank Adaptation) @@ -399,7 +404,7 @@ function (object, equation, output_shape, activation = NULL, layer_embedding <- function (object, input_dim, output_dim, embeddings_initializer = "uniform", embeddings_regularizer = NULL, embeddings_constraint = NULL, - mask_zero = FALSE, lora_rank = NULL, ...) + mask_zero = FALSE, weights = NULL, lora_rank = NULL, ...) { args <- capture_args(list(input_dim = as_integer, output_dim = as_integer, input_shape = normalize_shape, batch_size = as_integer, From a9f61252772dd2938e54583e8c4aeef8362eaa51 Mon Sep 17 00:00:00 2001 From: Tomasz Kalinowski Date: Tue, 23 Apr 2024 10:58:41 -0400 Subject: [PATCH 19/38] new `keras_model()` internal pickeling method --- .tether/man/keras_model.txt | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/.tether/man/keras_model.txt b/.tether/man/keras_model.txt index ec486497b..ac9be46bf 100644 --- a/.tether/man/keras_model.txt +++ b/.tether/man/keras_model.txt @@ -127,6 +127,13 @@ class Model(keras.src.backend.tensorflow.trainer.TensorFlowTrainer, keras.src.tr | ) | Initialize self. See help(type(self)) for accurate signature. | + | __reduce__(self) + | __reduce__ is used to customize the behavior of `pickle.pickle()`. + | + | The method returns a tuple of two elements: a function, and a list of + | arguments to pass to that function. In this case we just leverage the + | keras saving library. + | | build_from_config(self, config) | Builds the layer's states with the supplied config dict. | From e62d0b973ced7cd959289b692e187c16bd1cbc9d Mon Sep 17 00:00:00 2001 From: Tomasz Kalinowski Date: Tue, 23 Apr 2024 11:01:59 -0400 Subject: [PATCH 20/38] unwrapped module-level --- .tether/man/keras.dtype_policies.txt | 10 +++++++++- .tether/man/keras.layers.txt | 4 ++++ .tether/man/keras.mixed_precision.txt | 12 ++++++++++-- .tether/man/keras.ops.image.txt | 4 ++++ .tether/man/keras.ops.numpy.txt | 19 +++++++++++++++--- .tether/man/keras.ops.txt | 27 +++++++++++++++++++------- .tether/man/keras.optimizers.txt | 28 ++++++++++++++++++++++++--- .tether/man/keras.quantizers.txt | 13 +++++++++++++ .tether/man/keras.random.txt | 6 +++++- .tether/man/keras.tree.txt | 2 +- 10 files changed, 107 insertions(+), 18 deletions(-) diff --git a/.tether/man/keras.dtype_policies.txt b/.tether/man/keras.dtype_policies.txt index 981362404..1835f6151 100644 --- a/.tether/man/keras.dtype_policies.txt +++ b/.tether/man/keras.dtype_policies.txt @@ -1,4 +1,12 @@ -DTypePolicy(name) +deserialize(config, custom_objects=None) +DTypePolicy( + name, + *args, + **kwargs +) FloatDTypePolicy(name) +get(identifier) QuantizedDTypePolicy(name) +QuantizedFloat8DTypePolicy(name, amax_history_length=1024) +serialize(dtype_policy) diff --git a/.tether/man/keras.layers.txt b/.tether/man/keras.layers.txt index c4de272d2..38bec143e 100644 --- a/.tether/man/keras.layers.txt +++ b/.tether/man/keras.layers.txt @@ -537,6 +537,7 @@ Embedding( embeddings_regularizer=None, embeddings_constraint=None, mask_zero=False, + weights=None, lora_rank=None, **kwargs ) @@ -1007,6 +1008,9 @@ Resizing( width, interpolation='bilinear', crop_to_aspect_ratio=False, + pad_to_aspect_ratio=False, + fill_mode='constant', + fill_value=0.0, data_format=None, **kwargs ) diff --git a/.tether/man/keras.mixed_precision.txt b/.tether/man/keras.mixed_precision.txt index 1e4b1570f..619396380 100644 --- a/.tether/man/keras.mixed_precision.txt +++ b/.tether/man/keras.mixed_precision.txt @@ -1,5 +1,9 @@ dtype_policy() -DTypePolicy(name) +DTypePolicy( + name, + *args, + **kwargs +) global_policy() LossScaleOptimizer( inner_optimizer, @@ -7,7 +11,11 @@ LossScaleOptimizer( dynamic_growth_steps=2000, **kwargs ) -Policy(name) +Policy( + name, + *args, + **kwargs +) set_dtype_policy(policy) set_global_policy(policy) diff --git a/.tether/man/keras.ops.image.txt b/.tether/man/keras.ops.image.txt index 50863e0a1..75e683b1d 100644 --- a/.tether/man/keras.ops.image.txt +++ b/.tether/man/keras.ops.image.txt @@ -44,6 +44,10 @@ resize( size, interpolation='bilinear', antialias=False, + crop_to_aspect_ratio=False, + pad_to_aspect_ratio=False, + fill_mode='constant', + fill_value=0.0, data_format='channels_last' ) diff --git a/.tether/man/keras.ops.numpy.txt b/.tether/man/keras.ops.numpy.txt index f054df5fc..550779517 100644 --- a/.tether/man/keras.ops.numpy.txt +++ b/.tether/man/keras.ops.numpy.txt @@ -39,8 +39,16 @@ arcsinh(x) arctan(x) arctan2(x1, x2) arctanh(x) -argmax(x, axis=None) -argmin(x, axis=None) +argmax( + x, + axis=None, + keepdims=False +) +argmin( + x, + axis=None, + keepdims=False +) argsort(x, axis=-1) array(x, dtype=None) average( @@ -204,7 +212,12 @@ moveaxis( destination ) multiply(x1, x2) -nan_to_num(x) +nan_to_num( + x, + nan=0.0, + posinf=None, + neginf=None +) ndim(x) negative(x) nonzero(x) diff --git a/.tether/man/keras.ops.txt b/.tether/man/keras.ops.txt index 422f0edc0..e648ecab8 100644 --- a/.tether/man/keras.ops.txt +++ b/.tether/man/keras.ops.txt @@ -39,8 +39,16 @@ arcsinh(x) arctan(x) arctan2(x1, x2) arctanh(x) -argmax(x, axis=None) -argmin(x, axis=None) +argmax( + x, + axis=None, + keepdims=False +) +argmin( + x, + axis=None, + keepdims=False +) argsort(x, axis=-1) array(x, dtype=None) average( @@ -233,7 +241,7 @@ hard_swish(x) hstack(xs) identity(n, dtype=None) imag(x) -image: Module(keras.ops.image) +image: Module(keras.api.ops.image) in_top_k( targets, predictions, @@ -258,7 +266,7 @@ istft( leaky_relu(x, negative_slope=0.2) less(x1, x2) less_equal(x1, x2) -linalg: Module(keras.ops.linalg) +linalg: Module(keras.api.ops.linalg) linspace( start, stop, @@ -348,10 +356,15 @@ multi_hot( **kwargs ) multiply(x1, x2) -nan_to_num(x) +nan_to_num( + x, + nan=0.0, + posinf=None, + neginf=None +) ndim(x) negative(x) -nn: Module(keras.ops.nn) +nn: Module(keras.api.ops.nn) nonzero(x) norm( x, @@ -365,7 +378,7 @@ normalize( order=2 ) not_equal(x1, x2) -numpy: Module(keras.ops.numpy) +numpy: Module(keras.api.ops.numpy) one_hot( x, num_classes, diff --git a/.tether/man/keras.optimizers.txt b/.tether/man/keras.optimizers.txt index ba93cc12d..66429c020 100644 --- a/.tether/man/keras.optimizers.txt +++ b/.tether/man/keras.optimizers.txt @@ -9,6 +9,8 @@ Adadelta( use_ema=False, ema_momentum=0.99, ema_overwrite_frequency=None, + loss_scale_factor=None, + gradient_accumulation_steps=None, name='adadelta', **kwargs ) @@ -26,6 +28,8 @@ Adafactor( use_ema=False, ema_momentum=0.99, ema_overwrite_frequency=None, + loss_scale_factor=None, + gradient_accumulation_steps=None, name='adafactor', **kwargs ) @@ -40,6 +44,8 @@ Adagrad( use_ema=False, ema_momentum=0.99, ema_overwrite_frequency=None, + loss_scale_factor=None, + gradient_accumulation_steps=None, name='adagrad', **kwargs ) @@ -56,6 +62,8 @@ Adam( use_ema=False, ema_momentum=0.99, ema_overwrite_frequency=None, + loss_scale_factor=None, + gradient_accumulation_steps=None, name='adam', **kwargs ) @@ -71,6 +79,8 @@ Adamax( use_ema=False, ema_momentum=0.99, ema_overwrite_frequency=None, + loss_scale_factor=None, + gradient_accumulation_steps=None, name='adamax', **kwargs ) @@ -87,6 +97,8 @@ AdamW( use_ema=False, ema_momentum=0.99, ema_overwrite_frequency=None, + loss_scale_factor=None, + gradient_accumulation_steps=None, name='adamw', **kwargs ) @@ -106,11 +118,13 @@ Ftrl( use_ema=False, ema_momentum=0.99, ema_overwrite_frequency=None, + loss_scale_factor=None, + gradient_accumulation_steps=None, name='ftrl', **kwargs ) get(identifier) -legacy: Module(keras.optimizers.legacy) +legacy: Module(keras.api.optimizers.legacy) Lion( learning_rate=0.001, beta_1=0.9, @@ -122,6 +136,8 @@ Lion( use_ema=False, ema_momentum=0.99, ema_overwrite_frequency=None, + loss_scale_factor=None, + gradient_accumulation_steps=None, name='lion', **kwargs ) @@ -143,6 +159,8 @@ Nadam( use_ema=False, ema_momentum=0.99, ema_overwrite_frequency=None, + loss_scale_factor=None, + gradient_accumulation_steps=None, name='nadam', **kwargs ) @@ -159,11 +177,13 @@ RMSprop( global_clipnorm=None, use_ema=False, ema_momentum=0.99, - ema_overwrite_frequency=100, + ema_overwrite_frequency=None, + loss_scale_factor=None, + gradient_accumulation_steps=None, name='rmsprop', **kwargs ) -schedules: Module(keras.optimizers.schedules) +schedules: Module(keras.api.optimizers.schedules) serialize(optimizer) SGD( learning_rate=0.01, @@ -176,6 +196,8 @@ SGD( use_ema=False, ema_momentum=0.99, ema_overwrite_frequency=None, + loss_scale_factor=None, + gradient_accumulation_steps=None, name='SGD', **kwargs ) diff --git a/.tether/man/keras.quantizers.txt b/.tether/man/keras.quantizers.txt index 53fd2902c..603b088a5 100644 --- a/.tether/man/keras.quantizers.txt +++ b/.tether/man/keras.quantizers.txt @@ -11,8 +11,21 @@ AbsMaxQuantizer( epsilon=1e-07, output_dtype='int8' ) +compute_float8_amax_history(x, amax_history) +compute_float8_scale( + amax, + scale, + dtype_max, + margin=0 +) deserialize(config, custom_objects=None) get(identifier, **kwargs) +quantize_and_dequantize( + inputs, + scale, + quantized_dtype, + compute_dtype +) Quantizer(output_dtype='int8') serialize(initializer) diff --git a/.tether/man/keras.random.txt b/.tether/man/keras.random.txt index 011734e3e..0b82263f8 100644 --- a/.tether/man/keras.random.txt +++ b/.tether/man/keras.random.txt @@ -44,7 +44,11 @@ randint( dtype='int32', seed=None ) -SeedGenerator(seed=None, **kwargs) +SeedGenerator( + seed=None, + name=None, + **kwargs +) shuffle( x, axis=0, diff --git a/.tether/man/keras.tree.txt b/.tether/man/keras.tree.txt index 35c8c652c..faa695376 100644 --- a/.tether/man/keras.tree.txt +++ b/.tether/man/keras.tree.txt @@ -6,6 +6,7 @@ assert_same_structure( flatten(structure) is_nested(structure) lists_to_tuples(structure) +map_shape_structure(func, structure) map_structure(func, *structures) map_structure_up_to( shallow_structure, @@ -22,5 +23,4 @@ traverse( structure, top_down=True ) -unflatten_as(structure, flat_sequence) From f9a6db508b1703cbb44f8f7fff5b9eaadc86d2bb Mon Sep 17 00:00:00 2001 From: Tomasz Kalinowski Date: Tue, 23 Apr 2024 11:16:22 -0400 Subject: [PATCH 21/38] fix `split_docstring_into_sections()` for trailing example newline (keras.utils.clear_session) --- tools/utils.R | 1 + 1 file changed, 1 insertion(+) diff --git a/tools/utils.R b/tools/utils.R index ee30400cb..b43e653ae 100644 --- a/tools/utils.R +++ b/tools/utils.R @@ -522,6 +522,7 @@ split_docstring_into_sections <- function(docstring) { is_arg <- m == "arguments" w_is_arg <- which(is_arg) new_lines_in_section <- which(is_arg & x == "") + new_lines_in_section %<>% .[. < (length(x)-1)] for (i in new_lines_in_section) { if (x[i + 1] == "" || ind_lvl[i + 1] == ind_lvl[w_is_arg[1]]) { w_is_arg2 <- w_is_arg %>% .[. < i] From b8fe3deefe5e2c4057641ac18dce3833fe99853a Mon Sep 17 00:00:00 2001 From: Tomasz Kalinowski Date: Tue, 23 Apr 2024 11:19:41 -0400 Subject: [PATCH 22/38] new arg: `clear_session(free_memory)` --- .tether/man/clear_session.txt | 11 ++++++++++- .tether/man/keras.utils.txt | 2 +- R/utils.R | 14 ++++++++++++-- 3 files changed, 23 insertions(+), 4 deletions(-) diff --git a/.tether/man/clear_session.txt b/.tether/man/clear_session.txt index fe58d8707..a76be2fe9 100644 --- a/.tether/man/clear_session.txt +++ b/.tether/man/clear_session.txt @@ -1,5 +1,5 @@ __signature__ -keras.utils.clear_session() +keras.utils.clear_session(free_memory=True) __doc__ Resets all state generated by Keras. @@ -11,6 +11,14 @@ an increasing amount of memory over time, and you may want to clear it. Calling `clear_session()` releases the global state: this helps avoid clutter from old models and layers, especially when memory is limited. +Args: + free_memory: Whether to call Python garbage collection. + It's usually a good practice to call it to make sure + memory used by deleted objects is immediately freed. + However, it may take a few seconds to execute, so + when using `clear_session()` in a short loop, + you may want to skip it. + Example 1: calling `clear_session()` when creating models in a loop ```python @@ -39,3 +47,4 @@ dense_10 >>> new_layer = keras.layers.Dense(10) >>> print(new_layer.name) dense + diff --git a/.tether/man/keras.utils.txt b/.tether/man/keras.utils.txt index f6f58a025..b18132715 100644 --- a/.tether/man/keras.utils.txt +++ b/.tether/man/keras.utils.txt @@ -20,7 +20,7 @@ audio_dataset_from_directory( follow_links=False, verbose=True ) -clear_session() +clear_session(free_memory=True) custom_object_scope(custom_objects) CustomObjectScope(custom_objects) deserialize_keras_object( diff --git a/R/utils.R b/R/utils.R index a795452a6..fb03081d8 100644 --- a/R/utils.R +++ b/R/utils.R @@ -53,6 +53,15 @@ #' new_layer <- layer_dense(units = 10) #' print(new_layer$name) #' ``` +#' +#' @param free_memory +#' Whether to call Python garbage collection. +#' It's usually a good practice to call it to make sure +#' memory used by deleted objects is immediately freed. +#' However, it may take a few seconds to execute, so +#' when using `clear_session()` in a short loop, +#' you may want to skip it. +#' #' @returns `NULL`, invisibly, called for side effects. #' @export #' @family backend @@ -62,9 +71,10 @@ # + #' @tether keras.utils.clear_session clear_session <- -function () +function (free_memory = TRUE) { - keras$utils$clear_session() + args <- capture_args() + do.call(keras$utils$clear_session, args) } From 0b592f76665357c32f5e4fe503a6bcb536d1db10 Mon Sep 17 00:00:00 2001 From: Tomasz Kalinowski Date: Tue, 23 Apr 2024 11:28:12 -0400 Subject: [PATCH 23/38] new `op_ctc_decode()` --- .tether/man/keras.ops.txt | 9 +++++++ R/ops.R | 55 +++++++++++++++++++++++++++++++++++++++ 2 files changed, 64 insertions(+) diff --git a/.tether/man/keras.ops.txt b/.tether/man/keras.ops.txt index e648ecab8..48ff79912 100644 --- a/.tether/man/keras.ops.txt +++ b/.tether/man/keras.ops.txt @@ -146,6 +146,15 @@ cross( axisc=-1, axis=None ) +ctc_decode( + inputs, + sequence_lengths, + strategy, + beam_width=100, + top_paths=1, + merge_repeated=True, + mask_index=None +) ctc_loss( target, output, diff --git a/R/ops.R b/R/ops.R index f2bbd526f..0e1bc713b 100644 --- a/R/ops.R +++ b/R/ops.R @@ -3931,6 +3931,61 @@ function (x1, x2, axisa = -1L, axisb = -1L, axisc = -1L, axis = NULL) do.call(keras$ops$cross, args) } +#' Decodes the output of a CTC model. +#' +#' @returns +#' A list containing: +#' +#' - A list of decoded sequences. +#' - A list of the negative of the sum of the probability logits +#' (if strategy is `"greedy"`) or the log probability (if strategy is +#' `"beam_search"`) for each sequence. +#' +#' @param inputs +#' A tensor of shape `(batch_size, max_length, num_classes)` +#' containing the logits (output of the model). +#' +#' @param sequence_lengths +#' A tensor of shape `(batch_size)` containing the +#' sequence lengths for the batch. +#' +#' @param strategy +#' A string for the decoding strategy. Supported values are +#' `"greedy"` and `"beam_search"`. +#' +#' @param beam_width +#' An integer scalar beam width used in beam search. +#' Defaults to `100`. +#' +#' @param top_paths +#' An integer scalar, the number of top paths to return. +#' Defaults to `1`. +#' +#' @param merge_repeated +#' A boolean scalar, whether to merge repeated +#' labels in the output. Defaults to `TRUE`. +#' +#' @param mask_index +#' An integer scalar, the index of the mask character in +#' the vocabulary. Defaults to `NULL`. +#' +#' @export +#' @family numpy ops +#' @family ops +#' @tether keras.ops.ctc_decode +#' @seealso +#' + +op_ctc_decode <- +function (inputs, sequence_lengths, strategy, beam_width = 100L, + top_paths = 1L, merge_repeated = TRUE, mask_index = NULL) +{ + args <- capture_args(list( + sequence_lengths = as_integer_array, + beam_width = as_integer, + top_paths = as_integer, + mask_index = as_integer)) + do.call(keras$ops$ctc_decode, args) +} #' Return the cumulative product of elements along a given axis. #' From 7e9f68c95ed73ba7b4bd5f345757a02ac4388fee Mon Sep 17 00:00:00 2001 From: Tomasz Kalinowski Date: Tue, 23 Apr 2024 11:30:06 -0400 Subject: [PATCH 24/38] new `op_eigh()` --- .tether/man/keras.ops.txt | 1 + R/ops-linalg.R | 16 ++++++++++++++++ R/ops.R | 2 -- 3 files changed, 17 insertions(+), 2 deletions(-) diff --git a/.tether/man/keras.ops.txt b/.tether/man/keras.ops.txt index 48ff79912..c11626ecc 100644 --- a/.tether/man/keras.ops.txt +++ b/.tether/man/keras.ops.txt @@ -199,6 +199,7 @@ divide(x1, x2) divide_no_nan(x1, x2) dot(x1, x2) eig(x) +eigh(x) einsum(subscripts, *operands) elu(x, alpha=1.0) empty(shape, dtype=None) diff --git a/R/ops-linalg.R b/R/ops-linalg.R index 64924f564..49ac49399 100644 --- a/R/ops-linalg.R +++ b/R/ops-linalg.R @@ -57,6 +57,22 @@ op_eig <- function (x) keras$ops$eig(x) +#' Computes the eigenvalues and eigenvectors of a complex Hermitian. +#' +#' @returns +#' A list of two tensors: a tensor of shape `(..., M)` containing +#' eigenvalues and a tensor of shape `(..., M, M)` containing eigenvectors. +#' +#' @param x +#' Input tensor of shape `(..., M, M)`. +#' +#' @export +#' @family linear algebra ops +#' @family ops +#' @tether keras.ops.eigh +op_eigh <- +function (x) +keras$ops$eigh(x) #' Computes the inverse of a square tensor. #' diff --git a/R/ops.R b/R/ops.R index 0e1bc713b..8ff791de3 100644 --- a/R/ops.R +++ b/R/ops.R @@ -3973,8 +3973,6 @@ function (x1, x2, axisa = -1L, axisb = -1L, axisc = -1L, axis = NULL) #' @family numpy ops #' @family ops #' @tether keras.ops.ctc_decode -#' @seealso -#' + op_ctc_decode <- function (inputs, sequence_lengths, strategy, beam_width = 100L, top_paths = 1L, merge_repeated = TRUE, mask_index = NULL) From 414b8044bd0718d5c55d67d6c76ddfc04f724730 Mon Sep 17 00:00:00 2001 From: Tomasz Kalinowski Date: Tue, 23 Apr 2024 11:39:11 -0400 Subject: [PATCH 25/38] new `op_select()` --- .tether/man/keras.ops.txt | 5 +++++ R/ops.R | 46 +++++++++++++++++++++++++++++++++++++++ 2 files changed, 51 insertions(+) diff --git a/.tether/man/keras.ops.txt b/.tether/man/keras.ops.txt index c11626ecc..d56eba8bb 100644 --- a/.tether/man/keras.ops.txt +++ b/.tether/man/keras.ops.txt @@ -461,6 +461,11 @@ segment_sum( num_segments=None, sorted=False ) +select( + condlist, + choicelist, + default=0 +) selu(x) separable_conv( inputs, diff --git a/R/ops.R b/R/ops.R index 8ff791de3..2c5560e7b 100644 --- a/R/ops.R +++ b/R/ops.R @@ -1297,6 +1297,52 @@ function (data, segment_ids, num_segments = NULL, sorted = FALSE) do.call(keras$ops$segment_sum, args) } +#' Return elements from `choicelist`, based on conditions in `condlist`. +#' +#' @param condlist +#' List of boolean tensors. +#' The list of conditions which determine from which array +#' in choicelist the output elements are taken. +#' When multiple conditions are satisfied, +#' the first one encountered in condlist is used. +#' +#' @param choicelist +#' List of tensors. +#' The list of tensors from which the output elements are taken. +#' This list has to be of the same length as `condlist`. +#' +#' @param default +#' Optional scalar value. +#' The element inserted in the output +#' when all conditions evaluate to `FALSE`. +#' +#' @returns +#' Tensor where the output at position `m` is the `m`-th element +#' of the tensor in `choicelist` where the `m`-th element of the +#' corresponding tensor in `condlist` is `TRUE`. +#' +#' @description +#' +#' # Examples +#' +#' ```{r} +#' x <- op_arange(6L) +#' condlist <- list(x < 3, x > 3) +#' choicelist <- list(x, x^2) +#' op_select(condlist, choicelist, 42) +#' ``` +#' +#' @export +#' @family numpy ops +#' @family ops +#' @tether keras.ops.select +op_select <- +function (condlist, choicelist, default = 0L) +{ + args <- capture_args(list(default = as_integer)) + do.call(keras$ops$select, args) +} + #' Solves a linear system of equations given by `a x = b`. #' From a226cb96487a83258888c29ae21474ce6f496e3d Mon Sep 17 00:00:00 2001 From: Tomasz Kalinowski Date: Tue, 23 Apr 2024 11:49:43 -0400 Subject: [PATCH 26/38] new `op_vectorize()` --- .tether/man/keras.ops.txt | 6 +++++ R/ops.R | 53 +++++++++++++++++++++++++++++++++++++++ 2 files changed, 59 insertions(+) diff --git a/.tether/man/keras.ops.txt b/.tether/man/keras.ops.txt index d56eba8bb..3142af650 100644 --- a/.tether/man/keras.ops.txt +++ b/.tether/man/keras.ops.txt @@ -599,6 +599,12 @@ var( keepdims=False ) vdot(x1, x2) +vectorize( + pyfunc, + *, + excluded=None, + signature=None +) vectorized_map(function, elements) vstack(xs) where( diff --git a/R/ops.R b/R/ops.R index 2c5560e7b..a48151ca4 100644 --- a/R/ops.R +++ b/R/ops.R @@ -7110,6 +7110,59 @@ op_vstack <- function (xs) keras$ops$vstack(xs) +#' Turn a function into a vectorized function. +#' +#' @description +#' +#' # Examples +#' +#' ```{r} +#' # currently does not work w/ tensorflow backend +#' if(config_backend() != "tensorflow") { +#' +#' myfunc <- function(a, b) a + b +#' +#' vfunc <- op_vectorize(myfunc) +#' y <- vfunc(c(1, 2, 3, 4), 2) +#' print(y) +#' # with Jax backend, y is: +#' # Array([3., 4., 5., 6.], dtype=float32) +#' } +#' ``` +#' +#' @returns +#' A new function that applies `func` to every element +#' of its input along axis 1 (the batch axis, the first axis). +#' +#' @param func +#' Callable of a single tensor argument. +#' +#' @param excluded +#' Optional set of integers representing +#' positional arguments for which the function +#' will not be vectorized. +#' These will be passed directly to `func` unmodified. +#' +#' @param signature +#' Optional generalized universal function signature, +#' e.g., `"(m,n),(n)->(m)"` for vectorized +#' matrix-vector multiplication. If provided, +#' `func` will be called with (and expected to return) +#' arrays with shapes given by the size of corresponding +#' core dimensions. By default, `func` is assumed +#' to take scalar tensors as input and output. +#' +#' @param ... +#' For forward/backward compatability. +#' +#' @export +#' @family numpy ops +#' @family ops +#' @tether keras.ops.vectorize +op_vectorize <- +function (func, ..., excluded = NULL, signature = NULL) +keras$ops$vectorize(func, ..., excluded = excluded, signature = signature) + #' Return elements chosen from `x1` or `x2` depending on `condition`. #' From 919151c0a3252d92d2a49842cef9ee1854644206 Mon Sep 17 00:00:00 2001 From: Tomasz Kalinowski Date: Tue, 23 Apr 2024 11:50:27 -0400 Subject: [PATCH 27/38] duplicate entry point exports --- .tether/man/keras.backend.txt | 2 +- .tether/man/keras.ops.nn.txt | 9 +++++++++ .tether/man/keras.ops.numpy.txt | 11 +++++++++++ 3 files changed, 21 insertions(+), 1 deletion(-) diff --git a/.tether/man/keras.backend.txt b/.tether/man/keras.backend.txt index 93263dbda..fa4165277 100644 --- a/.tether/man/keras.backend.txt +++ b/.tether/man/keras.backend.txt @@ -1,5 +1,5 @@ backend() -clear_session() +clear_session(free_memory=True) epsilon() floatx() get_uid(prefix='') diff --git a/.tether/man/keras.ops.nn.txt b/.tether/man/keras.ops.nn.txt index a817e8bf6..8b985f9a6 100644 --- a/.tether/man/keras.ops.nn.txt +++ b/.tether/man/keras.ops.nn.txt @@ -42,6 +42,15 @@ conv_transpose( data_format=None, dilation_rate=1 ) +ctc_decode( + inputs, + sequence_lengths, + strategy, + beam_width=100, + top_paths=1, + merge_repeated=True, + mask_index=None +) ctc_loss( target, output, diff --git a/.tether/man/keras.ops.numpy.txt b/.tether/man/keras.ops.numpy.txt index 550779517..03866409b 100644 --- a/.tether/man/keras.ops.numpy.txt +++ b/.tether/man/keras.ops.numpy.txt @@ -260,6 +260,11 @@ roll( axis=None ) round(x, decimals=0) +select( + condlist, + choicelist, + default=0 +) sign(x) sin(x) sinh(x) @@ -330,6 +335,12 @@ var( keepdims=False ) vdot(x1, x2) +vectorize( + pyfunc, + *, + excluded=None, + signature=None +) vstack(xs) where( condition, From e70a3345685389177d4772d958aaf7967e46cc97 Mon Sep 17 00:00:00 2001 From: Tomasz Kalinowski Date: Tue, 23 Apr 2024 11:54:54 -0400 Subject: [PATCH 28/38] new `op_image_rgb_to_grayscale()` --- .tether/man/keras.ops.image.txt | 1 + R/ops-image.R | 49 +++++++++++++++++++++++++++++++++ 2 files changed, 50 insertions(+) diff --git a/.tether/man/keras.ops.image.txt b/.tether/man/keras.ops.image.txt index 75e683b1d..c729e3539 100644 --- a/.tether/man/keras.ops.image.txt +++ b/.tether/man/keras.ops.image.txt @@ -50,4 +50,5 @@ resize( fill_value=0.0, data_format='channels_last' ) +rgb_to_grayscale(image, data_format='channels_last') diff --git a/R/ops-image.R b/R/ops-image.R index eb9cdb310..7891e7361 100644 --- a/R/ops-image.R +++ b/R/ops-image.R @@ -455,3 +455,52 @@ function (images, top_cropping = NULL, left_cropping = NULL, do.call(keras$ops$image$crop_images, args) } +#' Convert RGB images to grayscale. +#' +#' @description +#' This function converts RGB images to grayscale images. It supports both +#' 3D and 4D tensors, where the last dimension represents channels. +#' +#' # Examples +#' ```{r} +#' x <- random_uniform(c(2, 4, 4, 3)) +#' y <- op_image_rgb_to_grayscale(x) +#' shape(y) +#' ``` +#' +#' ```{r} +#' x <- random_uniform(c(4, 4, 3)) # Single RGB image +#' y = op_image_rgb_to_grayscale(x) +#' shape(y) +#' ``` +#' +#' ```{r} +#' x <- random_uniform(c(2, 3, 4, 4)) +#' y <- op_image_rgb_to_grayscale(x, data_format="channels_first") +#' shape(y) +#' ``` +#' +#' @returns +#' Grayscale image or batch of grayscale images. +#' +#' @param image +#' Input RGB image or batch of RGB images. Must be a 3D tensor +#' with shape `(height, width, channels)` or a 4D tensor with shape +#' `(batch, height, width, channels)`. +#' +#' @param data_format +#' A string specifying the data format of the input tensor. +#' It can be either `"channels_last"` or `"channels_first"`. +#' `"channels_last"` corresponds to inputs with shape +#' `(batch, height, width, channels)`, while `"channels_first"` +#' corresponds to inputs with shape `(batch, channels, height, width)`. +#' Defaults to `"channels_last"`. +#' +#' @export +#' @family image ops +#' @family image utils +#' @family ops +#' @tether keras.ops.image.rgb_to_grayscale +op_image_rgb_to_grayscale <- +function (image, data_format = "channels_last") +keras$ops$image$rgb_to_grayscale(image, data_format) From 744ac92b14865b9ce68b7f2c47ab802bca0df7c2 Mon Sep 17 00:00:00 2001 From: Tomasz Kalinowski Date: Tue, 23 Apr 2024 11:58:49 -0400 Subject: [PATCH 29/38] new `loss_tversky()` --- .tether/man/keras.losses.txt | 12 ++++++++ R/losses.R | 54 ++++++++++++++++++++++++++++++++++++ 2 files changed, 66 insertions(+) diff --git a/.tether/man/keras.losses.txt b/.tether/man/keras.losses.txt index 9e3602b5e..7727a1eb7 100644 --- a/.tether/man/keras.losses.txt +++ b/.tether/man/keras.losses.txt @@ -129,4 +129,16 @@ SparseCategoricalCrossentropy( ) squared_hinge(y_true, y_pred) SquaredHinge(reduction='sum_over_batch_size', name='squared_hinge') +tversky( + y_true, + y_pred, + alpha=0.5, + beta=0.5 +) +Tversky( + alpha=0.5, + beta=0.5, + reduction='sum_over_batch_size', + name='tversky' +) diff --git a/R/losses.R b/R/losses.R index 5ea29205d..8bc3acb07 100644 --- a/R/losses.R +++ b/R/losses.R @@ -1588,6 +1588,7 @@ function (y_true, y_pred, ..., reduction = "sum_over_batch_size", #' #' @export #' @inheritParams loss_hinge +#' @family losses #' @tether keras.losses.CTC # @seealso # + @@ -1602,6 +1603,59 @@ function (y_true, y_pred, ..., reduction = "sum_over_batch_size", do.call(callable, args) } +#' Computes the Tversky loss value between `y_true` and `y_pred`. +#' +#' @description +#' This loss function is weighted by the alpha and beta coefficients +#' that penalize false positives and false negatives. +#' +#' With `alpha=0.5` and `beta=0.5`, the loss value becomes equivalent to +#' Dice Loss. +#' +#' This loss function is weighted by the alpha and beta coefficients +#' that penalize false positives and false negatives. +#' +#' With `alpha=0.5` and `beta=0.5`, the loss value becomes equivalent to +#' Dice Loss. +#' +#' # Reference +#' - [Salehi et al., 2017](https://arxiv.org/abs/1706.05721) +#' +#' @returns +#' Tversky loss value. +#' +#' @param y_true +#' tensor of true targets. +#' +#' @param y_pred +#' tensor of predicted targets. +#' +#' @param alpha +#' coefficient controlling incidence of false positives. +#' +#' @param beta +#' coefficient controlling incidence of false negatives. +#' +#' @param name +#' String, name for the object +#' +#' @param ... +#' For forward/backward compatability. +#' +#' @export +#' @inheritParams loss_hinge +#' @family losses +#' @tether keras.losses.Tversky +loss_tversky <- +function (y_true, y_pred, ..., alpha = 0.5, beta = 0.5, + reduction = "sum_over_batch_size", name = "tversky") +{ + args <- capture_args(list(y_true = as_py_array, y_pred = as_py_array)) + callable <- if (missing(y_true) && missing(y_pred)) + keras$losses$Tversky else keras$losses$tversky + do.call(callable, args) +} + From de8a688ceb6fbf2afa604f43b6f3ecfb27724985 Mon Sep 17 00:00:00 2001 From: Tomasz Kalinowski Date: Tue, 23 Apr 2024 12:00:13 -0400 Subject: [PATCH 30/38] checkin tethers for new symbols --- .tether/man/loss_tversky.txt | 46 +++++++++++++++++++++++ .tether/man/op_ctc_decode.txt | 37 ++++++++++++++++++ .tether/man/op_eigh.txt | 12 ++++++ .tether/man/op_image_rgb_to_grayscale.txt | 41 ++++++++++++++++++++ .tether/man/op_select.txt | 39 +++++++++++++++++++ .tether/man/op_vectorize.txt | 38 +++++++++++++++++++ 6 files changed, 213 insertions(+) create mode 100644 .tether/man/loss_tversky.txt create mode 100644 .tether/man/op_ctc_decode.txt create mode 100644 .tether/man/op_eigh.txt create mode 100644 .tether/man/op_image_rgb_to_grayscale.txt create mode 100644 .tether/man/op_select.txt create mode 100644 .tether/man/op_vectorize.txt diff --git a/.tether/man/loss_tversky.txt b/.tether/man/loss_tversky.txt new file mode 100644 index 000000000..8687ef6a2 --- /dev/null +++ b/.tether/man/loss_tversky.txt @@ -0,0 +1,46 @@ +Help on class Tversky in module keras.src.losses.losses: + +class Tversky(LossFunctionWrapper) + | Tversky(alpha=0.5, beta=0.5, reduction='sum_over_batch_size', name='tversky') + | + | Computes the Tversky loss value between `y_true` and `y_pred`. + | + | This loss function is weighted by the alpha and beta coefficients + | that penalize false positives and false negatives. + | + | With `alpha=0.5` and `beta=0.5`, the loss value becomes equivalent to + | Dice Loss. + | + | Args: + | y_true: tensor of true targets. + | y_pred: tensor of predicted targets. + | alpha: coefficient controlling incidence of false positives. + | beta: coefficient controlling incidence of false negatives. + | + | Returns: + | Tversky loss value. + | + | Reference: + | + | - [Salehi et al., 2017](https://arxiv.org/abs/1706.05721) + | + | Method resolution order: + | Tversky + | LossFunctionWrapper + | keras.src.losses.loss.Loss + | builtins.object + | + | Methods defined here: + | + | __init__( + | self, + | alpha=0.5, + | beta=0.5, + | reduction='sum_over_batch_size', + | name='tversky' + | ) + | Initialize self. See help(type(self)) for accurate signature. + | + | get_config(self) + | + diff --git a/.tether/man/op_ctc_decode.txt b/.tether/man/op_ctc_decode.txt new file mode 100644 index 000000000..53d6959e7 --- /dev/null +++ b/.tether/man/op_ctc_decode.txt @@ -0,0 +1,37 @@ +__signature__ +keras.ops.ctc_decode( + inputs, + sequence_lengths, + strategy, + beam_width=100, + top_paths=1, + merge_repeated=True, + mask_index=None +) +__doc__ +Decodes the output of a CTC model. + +Args: + inputs: A tensor of shape `(batch_size, max_length, num_classes)` + containing the logits (output of the model). + sequence_lengths: A tensor of shape `(batch_size,)` containing the + sequence lengths for the batch. + strategy: A string for the decoding strategy. Supported values are + `"greedy"` and `"beam_search"`. + beam_width: An integer scalar beam width used in beam search. + Defaults to 100. + top_paths: An integer scalar, the number of top paths to return. + Defaults to 1. + merge_repeated: A boolean scalar, whether to merge repeated + labels in the output. Defaults to `True`. + mask_index: An integer scalar, the index of the mask character in + the vocabulary. Defaults to `None`. + +Returns: + A tuple containing: + + - A list of decoded sequences. + - A list of the negative of the sum of the probability logits + (if strategy is `"greedy"`) or the log probability (if strategy is + `"beam_search"`) for each sequence. + diff --git a/.tether/man/op_eigh.txt b/.tether/man/op_eigh.txt new file mode 100644 index 000000000..1b9729d99 --- /dev/null +++ b/.tether/man/op_eigh.txt @@ -0,0 +1,12 @@ +__signature__ +keras.ops.eigh(x) +__doc__ +Computes the eigenvalues and eigenvectors of a complex Hermitian. + +Args: + x: Input tensor of shape `(..., M, M)`. + +Returns: + A tuple of two tensors: a tensor of shape `(..., M)` containing + eigenvalues and a tensor of shape `(..., M, M)` containing eigenvectors. + diff --git a/.tether/man/op_image_rgb_to_grayscale.txt b/.tether/man/op_image_rgb_to_grayscale.txt new file mode 100644 index 000000000..8432f5e25 --- /dev/null +++ b/.tether/man/op_image_rgb_to_grayscale.txt @@ -0,0 +1,41 @@ +__signature__ +keras.ops.image.rgb_to_grayscale(image, data_format='channels_last') +__doc__ +Convert RGB images to grayscale. + +This function converts RGB images to grayscale images. It supports both +3D and 4D tensors, where the last dimension represents channels. + +Args: + image: Input RGB image or batch of RGB images. Must be a 3D tensor + with shape `(height, width, channels)` or a 4D tensor with shape + `(batch, height, width, channels)`. + data_format: A string specifying the data format of the input tensor. + It can be either `"channels_last"` or `"channels_first"`. + `"channels_last"` corresponds to inputs with shape + `(batch, height, width, channels)`, while `"channels_first"` + corresponds to inputs with shape `(batch, channels, height, width)`. + Defaults to `"channels_last"`. + +Returns: + Grayscale image or batch of grayscale images. + +Examples: + +>>> import numpy as np +>>> from keras.src import ops +>>> x = np.random.random((2, 4, 4, 3)) +>>> y = ops.image.rgb_to_grayscale(x) +>>> y.shape +(2, 4, 4, 1) + +>>> x = np.random.random((4, 4, 3)) # Single RGB image +>>> y = ops.image.rgb_to_grayscale(x) +>>> y.shape +(4, 4, 1) + +>>> x = np.random.random((2, 3, 4, 4)) +>>> y = ops.image.rgb_to_grayscale(x, data_format="channels_first") +>>> y.shape +(2, 1, 4, 4) + diff --git a/.tether/man/op_select.txt b/.tether/man/op_select.txt new file mode 100644 index 000000000..2acfb6e6f --- /dev/null +++ b/.tether/man/op_select.txt @@ -0,0 +1,39 @@ +__signature__ +keras.ops.select( + condlist, + choicelist, + default=0 +) +__doc__ +Return elements from `choicelist`, based on conditions in `condlist`. + +Args: + condlist: List of boolean tensors. + The list of conditions which determine from which array + in choicelist the output elements are taken. + When multiple conditions are satisfied, + the first one encountered in condlist is used. + choicelist: List of tensors. + The list of tensors from which the output elements are taken. + This list has to be of the same length as `condlist`. + defaults: Optional scalar value. + The element inserted in the output + when all conditions evaluate to `False`. + +Returns: + Tensor where the output at position `m` is the `m`-th element + of the tensor in `choicelist` where the `m`-th element of the + corresponding tensor in `condlist` is `True`. + +Example: + +```python +from keras import ops + +x = ops.arange(6) +condlist = [x<3, x>3] +choicelist = [x, x**2] +ops.select(condlist, choicelist, 42) +# Returns: tensor([0, 1, 2, 42, 16, 25]) +``` + diff --git a/.tether/man/op_vectorize.txt b/.tether/man/op_vectorize.txt new file mode 100644 index 000000000..e92d8e4ea --- /dev/null +++ b/.tether/man/op_vectorize.txt @@ -0,0 +1,38 @@ +__signature__ +keras.ops.vectorize( + pyfunc, + *, + excluded=None, + signature=None +) +__doc__ +Turn a function into a vectorized function. + +Example: + +```python +def myfunc(a, b): + return a + b + +vfunc = np.vectorize(myfunc) +y = vfunc([1, 2, 3, 4], 2) # Returns Tensor([3, 4, 5, 6]) +``` + +Args: + pyfunc: Callable of a single tensor argument. + excluded: Optional set of integers representing + positional arguments for which the function + will not be vectorized. + These will be passed directly to `pyfunc` unmodified. + signature: Optional generalized universal function signature, + e.g., `"(m,n),(n)->(m)"` for vectorized + matrix-vector multiplication. If provided, + `pyfunc` will be called with (and expected to return) + arrays with shapes given by the size of corresponding + core dimensions. By default, `pyfunc` is assumed + to take scalars tensors as input and output. + +Returns: + A new function that applies `pyfunc` to every element + of its input along axis 0 (the batch axis). + From 70042b118de8ce5f02fc15ccd8b8e1acb7a9dbac Mon Sep 17 00:00:00 2001 From: Tomasz Kalinowski Date: Tue, 23 Apr 2024 13:38:44 -0400 Subject: [PATCH 31/38] fixes for broken examples --- R/callbacks.R | 4 ++++ R/ops.R | 13 ++++++++++++- 2 files changed, 16 insertions(+), 1 deletion(-) diff --git a/R/callbacks.R b/R/callbacks.R index 0fc7d680d..e593f296f 100644 --- a/R/callbacks.R +++ b/R/callbacks.R @@ -41,6 +41,10 @@ #' layer_dense(10) #' model %>% compile(optimizer = optimizer_sgd(), loss = 'mse') #' +#' # ensure model is built (i.e., weights are initialized) for +#' # callback_backup_and_restore() +#' model(op_ones(c(5, 20))) |> invisible() +#' #' tryCatch({ #' model %>% fit(x = op_ones(c(5, 20)), #' y = op_zeros(5), diff --git a/R/ops.R b/R/ops.R index a48151ca4..cffdac8a1 100644 --- a/R/ops.R +++ b/R/ops.R @@ -3533,7 +3533,8 @@ function (x, dtype = NULL) #' axis = 2, #' weights = op_array(c(1/4, 3/4)) #' ) -#' # Error: Axis must be specified when shapes of a and weights differ. +#' +#' # Error: Axis must be specified when shapes of x and weights differ. #' try(op_average( #' data, #' weights = op_array(c(1/4, 3/4)) @@ -3573,6 +3574,13 @@ op_average <- function (x, axis = NULL, weights = NULL) { args <- capture_args(list(axis = as_axis)) + # BUG guardrail. In Keras 3.3.2, this started silently (wrongly) succeeding + # where it would return the sum of the axis reductions rather than throwing + # an exception + # We require here that users pass `axis` if passing weights with a different shape. + if(!is.null(weights) && is.null(axis) && + !identical(op_shape(weights), op_shape(x))) + stop("Axis must be specified when shapes of x and weights differ.") do.call(keras$ops$average, args) } @@ -5760,6 +5768,9 @@ keras$ops$multiply(x1, x2) #' @param neginf #' Optional float or int. Value to replace negative infinity with. #' +#' @details +#' +#' # Example #' ```{r} #' (x <- op_convert_to_tensor(c(1, NaN, -Inf, Inf))) #' op_nan_to_num(x) From 13f4c502e70a5b6e7ac39bcff3f60e52843ad916 Mon Sep 17 00:00:00 2001 From: Tomasz Kalinowski Date: Tue, 23 Apr 2024 13:38:51 -0400 Subject: [PATCH 32/38] redocument --- NAMESPACE | 6 + man/Layer.Rd | 3 + man/Loss.Rd | 2 + man/callback_backup_and_restore.Rd | 4 + man/clear_session.Rd | 10 +- man/image_array_save.Rd | 1 + man/image_from_array.Rd | 1 + man/image_load.Rd | 1 + man/image_smart_resize.Rd | 1 + man/image_to_array.Rd | 1 + man/layer_embedding.Rd | 5 + man/layer_random_zoom.Rd | 2 +- man/layer_resizing.Rd | 15 + man/layer_tfsm.Rd | 4 +- man/loss_binary_crossentropy.Rd | 2 + man/loss_binary_focal_crossentropy.Rd | 2 + man/loss_categorical_crossentropy.Rd | 2 + man/loss_categorical_focal_crossentropy.Rd | 2 + man/loss_categorical_hinge.Rd | 2 + man/loss_cosine_similarity.Rd | 2 + man/loss_ctc.Rd | 40 ++ man/loss_dice.Rd | 2 + man/loss_hinge.Rd | 2 + man/loss_huber.Rd | 2 + man/loss_kl_divergence.Rd | 6 + man/loss_log_cosh.Rd | 2 + man/loss_mean_absolute_error.Rd | 2 + man/loss_mean_absolute_percentage_error.Rd | 2 + man/loss_mean_squared_error.Rd | 2 + man/loss_mean_squared_logarithmic_error.Rd | 2 + man/loss_poisson.Rd | 2 + man/loss_sparse_categorical_crossentropy.Rd | 2 + man/loss_squared_hinge.Rd | 2 + man/loss_tversky.Rd | 95 ++++ man/metric_binary_crossentropy.Rd | 2 + man/metric_binary_focal_crossentropy.Rd | 2 + man/metric_categorical_crossentropy.Rd | 2 + man/metric_categorical_focal_crossentropy.Rd | 2 + man/metric_categorical_hinge.Rd | 2 + man/metric_hinge.Rd | 2 + man/metric_huber.Rd | 2 + man/metric_kl_divergence.Rd | 6 + man/metric_log_cosh.Rd | 2 + man/metric_mean_absolute_error.Rd | 2 + man/metric_mean_absolute_percentage_error.Rd | 2 + man/metric_mean_squared_error.Rd | 2 + man/metric_mean_squared_logarithmic_error.Rd | 2 + man/metric_poisson.Rd | 2 + man/metric_sparse_categorical_crossentropy.Rd | 2 + man/metric_squared_hinge.Rd | 2 + man/op_abs.Rd | 8 + man/op_add.Rd | 8 + man/op_all.Rd | 10 +- man/op_any.Rd | 8 + man/op_append.Rd | 8 + man/op_arange.Rd | 8 + man/op_arccos.Rd | 8 + man/op_arccosh.Rd | 8 + man/op_arcsin.Rd | 8 + man/op_arcsinh.Rd | 8 + man/op_arctan.Rd | 8 + man/op_arctan2.Rd | 8 + man/op_arctanh.Rd | 8 + man/op_argmax.Rd | 13 +- man/op_argmin.Rd | 13 +- man/op_argsort.Rd | 8 + man/op_array.Rd | 8 + man/op_average.Rd | 15 +- man/op_average_pool.Rd | 5 + man/op_batch_normalization.Rd | 5 + man/op_binary_crossentropy.Rd | 5 + man/op_bincount.Rd | 8 + man/op_broadcast_to.Rd | 8 + man/op_cast.Rd | 5 + man/op_categorical_crossentropy.Rd | 5 + man/op_ceil.Rd | 8 + man/op_cholesky.Rd | 6 + man/op_clip.Rd | 8 + man/op_concatenate.Rd | 8 + man/op_cond.Rd | 5 + man/op_conj.Rd | 8 + man/op_conv.Rd | 5 + man/op_conv_transpose.Rd | 5 + man/op_convert_to_numpy.Rd | 5 + man/op_convert_to_tensor.Rd | 5 + man/op_copy.Rd | 8 + man/op_correlate.Rd | 8 + man/op_cos.Rd | 8 + man/op_cosh.Rd | 8 + man/op_count_nonzero.Rd | 8 + man/op_cross.Rd | 8 + man/op_ctc_decode.Rd | 410 ++++++++++++++++++ man/op_ctc_loss.Rd | 5 + man/op_cumprod.Rd | 8 + man/op_cumsum.Rd | 8 + man/op_custom_gradient.Rd | 5 + man/op_depthwise_conv.Rd | 5 + man/op_det.Rd | 6 + man/op_diag.Rd | 8 + man/op_diagonal.Rd | 8 + man/op_diff.Rd | 8 + man/op_digitize.Rd | 8 + man/op_divide.Rd | 8 + man/op_divide_no_nan.Rd | 8 + man/op_dot.Rd | 8 + man/op_eig.Rd | 6 + man/op_eigh.Rd | 249 +++++++++++ man/op_einsum.Rd | 8 + man/op_elu.Rd | 5 + man/op_empty.Rd | 8 + man/op_equal.Rd | 8 + man/op_erf.Rd | 5 + man/op_erfinv.Rd | 5 + man/op_exp.Rd | 8 + man/op_expand_dims.Rd | 8 + man/op_expm1.Rd | 8 + man/op_extract_sequences.Rd | 5 + man/op_eye.Rd | 8 + man/op_fft.Rd | 5 + man/op_fft2.Rd | 5 + man/op_flip.Rd | 8 + man/op_floor.Rd | 8 + man/op_floor_divide.Rd | 8 + man/op_fori_loop.Rd | 5 + man/op_full.Rd | 8 + man/op_full_like.Rd | 8 + man/op_gelu.Rd | 5 + man/op_get_item.Rd | 8 + man/op_greater.Rd | 8 + man/op_greater_equal.Rd | 8 + man/op_hard_sigmoid.Rd | 5 + man/op_hard_silu.Rd | 5 + man/op_hstack.Rd | 8 + man/op_identity.Rd | 8 + man/op_imag.Rd | 8 + man/op_image_affine_transform.Rd | 7 + man/op_image_crop.Rd | 7 + man/op_image_extract_patches.Rd | 7 + man/op_image_map_coordinates.Rd | 7 + man/op_image_pad.Rd | 7 + man/op_image_resize.Rd | 31 ++ man/op_image_rgb_to_grayscale.Rd | 299 +++++++++++++ man/op_in_top_k.Rd | 5 + man/op_inv.Rd | 6 + man/op_irfft.Rd | 5 + man/op_is_tensor.Rd | 5 + man/op_isclose.Rd | 8 + man/op_isfinite.Rd | 8 + man/op_isinf.Rd | 8 + man/op_isnan.Rd | 8 + man/op_istft.Rd | 5 + man/op_leaky_relu.Rd | 5 + man/op_less.Rd | 8 + man/op_less_equal.Rd | 8 + man/op_linspace.Rd | 10 +- man/op_log.Rd | 8 + man/op_log10.Rd | 8 + man/op_log1p.Rd | 8 + man/op_log2.Rd | 8 + man/op_log_sigmoid.Rd | 5 + man/op_log_softmax.Rd | 5 + man/op_logaddexp.Rd | 8 + man/op_logical_and.Rd | 8 + man/op_logical_not.Rd | 8 + man/op_logical_or.Rd | 8 + man/op_logical_xor.Rd | 8 + man/op_logspace.Rd | 10 +- man/op_logsumexp.Rd | 5 + man/op_lu_factor.Rd | 6 + man/op_matmul.Rd | 8 + man/op_max.Rd | 12 +- man/op_max_pool.Rd | 5 + man/op_maximum.Rd | 8 + man/op_mean.Rd | 8 + man/op_median.Rd | 8 + man/op_meshgrid.Rd | 8 + man/op_min.Rd | 12 +- man/op_minimum.Rd | 8 + man/op_mod.Rd | 8 + man/op_moments.Rd | 5 + man/op_moveaxis.Rd | 8 + man/op_multi_hot.Rd | 5 + man/op_multiply.Rd | 8 + man/op_nan_to_num.Rd | 39 +- man/op_ndim.Rd | 8 + man/op_negative.Rd | 8 + man/op_nonzero.Rd | 8 + man/op_norm.Rd | 6 + man/op_normalize.Rd | 5 + man/op_not_equal.Rd | 8 + man/op_one_hot.Rd | 5 + man/op_ones.Rd | 8 + man/op_ones_like.Rd | 8 + man/op_outer.Rd | 8 + man/op_pad.Rd | 8 + man/op_power.Rd | 8 + man/op_prod.Rd | 8 + man/op_qr.Rd | 5 + man/op_quantile.Rd | 8 + man/op_ravel.Rd | 8 + man/op_real.Rd | 8 + man/op_reciprocal.Rd | 8 + man/op_relu.Rd | 5 + man/op_relu6.Rd | 5 + man/op_repeat.Rd | 8 + man/op_reshape.Rd | 8 + man/op_rfft.Rd | 5 + man/op_roll.Rd | 8 + man/op_round.Rd | 8 + man/op_rsqrt.Rd | 5 + man/op_scatter.Rd | 5 + man/op_scatter_update.Rd | 5 + man/op_segment_max.Rd | 5 + man/op_segment_sum.Rd | 5 + man/op_select.Rd | 403 +++++++++++++++++ man/op_selu.Rd | 5 + man/op_separable_conv.Rd | 5 + man/op_shape.Rd | 5 + man/op_sigmoid.Rd | 5 + man/op_sign.Rd | 8 + man/op_silu.Rd | 5 + man/op_sin.Rd | 8 + man/op_sinh.Rd | 8 + man/op_size.Rd | 8 + man/op_slice.Rd | 5 + man/op_slice_update.Rd | 5 + man/op_softmax.Rd | 5 + man/op_softplus.Rd | 5 + man/op_softsign.Rd | 5 + man/op_solve.Rd | 5 + man/op_solve_triangular.Rd | 6 + man/op_sort.Rd | 8 + man/op_sparse_categorical_crossentropy.Rd | 5 + man/op_split.Rd | 8 + man/op_sqrt.Rd | 8 + man/op_square.Rd | 8 + man/op_squeeze.Rd | 8 + man/op_stack.Rd | 8 + man/op_std.Rd | 8 + man/op_stft.Rd | 5 + man/op_stop_gradient.Rd | 5 + man/op_subtract.Rd | 8 + man/op_sum.Rd | 8 + man/op_svd.Rd | 6 + man/op_swapaxes.Rd | 8 + man/op_take.Rd | 8 + man/op_take_along_axis.Rd | 8 + man/op_tan.Rd | 8 + man/op_tanh.Rd | 8 + man/op_tensordot.Rd | 8 + man/op_tile.Rd | 8 + man/op_top_k.Rd | 5 + man/op_trace.Rd | 8 + man/op_transpose.Rd | 8 + man/op_tri.Rd | 8 + man/op_tril.Rd | 8 + man/op_triu.Rd | 8 + man/op_unstack.Rd | 5 + man/op_var.Rd | 8 + man/op_vdot.Rd | 8 + man/op_vectorize.Rd | 408 +++++++++++++++++ man/op_vectorized_map.Rd | 5 + man/op_vstack.Rd | 8 + man/op_where.Rd | 8 + man/op_while_loop.Rd | 5 + man/op_zeros.Rd | 8 + man/op_zeros_like.Rd | 8 + man/optimizer_rmsprop.Rd | 2 +- man/random_seed_generator.Rd | 4 +- 269 files changed, 3593 insertions(+), 20 deletions(-) create mode 100644 man/loss_tversky.Rd create mode 100644 man/op_ctc_decode.Rd create mode 100644 man/op_eigh.Rd create mode 100644 man/op_image_rgb_to_grayscale.Rd create mode 100644 man/op_select.Rd create mode 100644 man/op_vectorize.Rd diff --git a/NAMESPACE b/NAMESPACE index c3e82a55f..f018c2246 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -357,6 +357,7 @@ export(loss_mean_squared_logarithmic_error) export(loss_poisson) export(loss_sparse_categorical_crossentropy) export(loss_squared_hinge) +export(loss_tversky) export(mark_active) export(metric_auc) export(metric_binary_accuracy) @@ -453,6 +454,7 @@ export(op_cos) export(op_cosh) export(op_count_nonzero) export(op_cross) +export(op_ctc_decode) export(op_ctc_loss) export(op_cumprod) export(op_cumsum) @@ -467,6 +469,7 @@ export(op_divide) export(op_divide_no_nan) export(op_dot) export(op_eig) +export(op_eigh) export(op_einsum) export(op_elu) export(op_empty) @@ -502,6 +505,7 @@ export(op_image_extract_patches) export(op_image_map_coordinates) export(op_image_pad) export(op_image_resize) +export(op_image_rgb_to_grayscale) export(op_in_top_k) export(op_inv) export(op_irfft) @@ -576,6 +580,7 @@ export(op_scatter) export(op_scatter_update) export(op_segment_max) export(op_segment_sum) +export(op_select) export(op_selu) export(op_separable_conv) export(op_shape) @@ -621,6 +626,7 @@ export(op_triu) export(op_unstack) export(op_var) export(op_vdot) +export(op_vectorize) export(op_vectorized_map) export(op_vstack) export(op_where) diff --git a/man/Layer.Rd b/man/Layer.Rd index 2290fb2e9..1bc3c55e7 100644 --- a/man/Layer.Rd +++ b/man/Layer.Rd @@ -594,6 +594,8 @@ Alias of \code{layer$variable_dtype}. The dtype layer inputs should be converted to. \item \code{losses} List of scalar losses from \code{add_loss()}, regularizers and sublayers. +\item \code{metrics} +List of all metrics. \item \code{metrics_variables} List of all metric variables. \item \code{non_trainable_variables} @@ -650,6 +652,7 @@ Output tensor or list of output tensors. \section{Data descriptors (Attributes):}{ \itemize{ +\item \code{dtype_policy} \item \code{input_spec} \item \code{supports_masking} Whether this layer supports computing a mask using \code{compute_mask}. diff --git a/man/Loss.Rd b/man/Loss.Rd index d57c78f19..da21f07e8 100644 --- a/man/Loss.Rd +++ b/man/Loss.Rd @@ -142,6 +142,7 @@ Other losses: \cr \code{\link{loss_categorical_focal_crossentropy}()} \cr \code{\link{loss_categorical_hinge}()} \cr \code{\link{loss_cosine_similarity}()} \cr +\code{\link{loss_ctc}()} \cr \code{\link{loss_dice}()} \cr \code{\link{loss_hinge}()} \cr \code{\link{loss_huber}()} \cr @@ -154,6 +155,7 @@ Other losses: \cr \code{\link{loss_poisson}()} \cr \code{\link{loss_sparse_categorical_crossentropy}()} \cr \code{\link{loss_squared_hinge}()} \cr +\code{\link{loss_tversky}()} \cr \code{\link{metric_binary_crossentropy}()} \cr \code{\link{metric_binary_focal_crossentropy}()} \cr \code{\link{metric_categorical_crossentropy}()} \cr diff --git a/man/callback_backup_and_restore.Rd b/man/callback_backup_and_restore.Rd index ecefcf51d..df537988b 100644 --- a/man/callback_backup_and_restore.Rd +++ b/man/callback_backup_and_restore.Rd @@ -69,6 +69,10 @@ model <- keras_model_sequential() \%>\% layer_dense(10) model \%>\% compile(optimizer = optimizer_sgd(), loss = 'mse') +# ensure model is built (i.e., weights are initialized) for +# callback_backup_and_restore() +model(op_ones(c(5, 20))) |> invisible() + tryCatch(\{ model \%>\% fit(x = op_ones(c(5, 20)), y = op_zeros(5), diff --git a/man/clear_session.Rd b/man/clear_session.Rd index 06be430f3..03507966f 100644 --- a/man/clear_session.Rd +++ b/man/clear_session.Rd @@ -4,7 +4,15 @@ \alias{clear_session} \title{Resets all state generated by Keras.} \usage{ -clear_session() +clear_session(free_memory = TRUE) +} +\arguments{ +\item{free_memory}{Whether to call Python garbage collection. +It's usually a good practice to call it to make sure +memory used by deleted objects is immediately freed. +However, it may take a few seconds to execute, so +when using \code{clear_session()} in a short loop, +you may want to skip it.} } \value{ \code{NULL}, invisibly, called for side effects. diff --git a/man/image_array_save.Rd b/man/image_array_save.Rd index 98bf8c172..e4beb4571 100644 --- a/man/image_array_save.Rd +++ b/man/image_array_save.Rd @@ -52,6 +52,7 @@ Other image utils: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr Other utils: \cr \code{\link{audio_dataset_from_directory}()} \cr diff --git a/man/image_from_array.Rd b/man/image_from_array.Rd index c5405911f..5ff1a7695 100644 --- a/man/image_from_array.Rd +++ b/man/image_from_array.Rd @@ -50,6 +50,7 @@ Other image utils: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr Other utils: \cr \code{\link{audio_dataset_from_directory}()} \cr diff --git a/man/image_load.Rd b/man/image_load.Rd index f081dc12c..188a7cbaf 100644 --- a/man/image_load.Rd +++ b/man/image_load.Rd @@ -79,6 +79,7 @@ Other image utils: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr Other utils: \cr \code{\link{audio_dataset_from_directory}()} \cr diff --git a/man/image_smart_resize.Rd b/man/image_smart_resize.Rd index 3fb0753fb..a68d83c59 100644 --- a/man/image_smart_resize.Rd +++ b/man/image_smart_resize.Rd @@ -88,6 +88,7 @@ Other image utils: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr Other utils: \cr \code{\link{audio_dataset_from_directory}()} \cr diff --git a/man/image_to_array.Rd b/man/image_to_array.Rd index c54b8041a..4eb6021b4 100644 --- a/man/image_to_array.Rd +++ b/man/image_to_array.Rd @@ -58,6 +58,7 @@ Other image utils: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr Other utils: \cr \code{\link{audio_dataset_from_directory}()} \cr diff --git a/man/layer_embedding.Rd b/man/layer_embedding.Rd index ceae5c8b0..0ba352f07 100644 --- a/man/layer_embedding.Rd +++ b/man/layer_embedding.Rd @@ -12,6 +12,7 @@ layer_embedding( embeddings_regularizer = NULL, embeddings_constraint = NULL, mask_zero = FALSE, + weights = NULL, lora_rank = NULL, ... ) @@ -43,6 +44,10 @@ If \code{mask_zero} is set to \code{TRUE}, as a consequence, index 0 cannot be used in the vocabulary (\code{input_dim} should equal size of vocabulary + 1).} +\item{weights}{Optional floating-point matrix of size +\verb{(input_dim, output_dim)}. The initial embeddings values +to use.} + \item{lora_rank}{Optional integer. If set, the layer's forward pass will implement LoRA (Low-Rank Adaptation) with the provided rank. LoRA sets the layer's embeddings diff --git a/man/layer_random_zoom.Rd b/man/layer_random_zoom.Rd index 9e5f9f031..695fc657b 100644 --- a/man/layer_random_zoom.Rd +++ b/man/layer_random_zoom.Rd @@ -64,7 +64,7 @@ Note that torch backend does not support \code{"wrap"}. \item{seed}{Integer. Used to create a random seed.} -\item{fill_value}{a float represents the value to be filled outside +\item{fill_value}{a float that represents the value to be filled outside the boundaries when \code{fill_mode="constant"}.} \item{data_format}{string, either \code{"channels_last"} or \code{"channels_first"}. diff --git a/man/layer_resizing.Rd b/man/layer_resizing.Rd index 4a0badad8..867087d7b 100644 --- a/man/layer_resizing.Rd +++ b/man/layer_resizing.Rd @@ -10,6 +10,9 @@ layer_resizing( width, interpolation = "bilinear", crop_to_aspect_ratio = FALSE, + pad_to_aspect_ratio = FALSE, + fill_mode = "constant", + fill_value = 0, data_format = NULL, ... ) @@ -33,6 +36,18 @@ largest possible window in the image (of size \verb{(height, width)}) that matches the target aspect ratio. By default (\code{crop_to_aspect_ratio=FALSE}), aspect ratio may not be preserved.} +\item{pad_to_aspect_ratio}{If \code{TRUE}, pad the images without aspect +ratio distortion. When the original aspect ratio differs +from the target aspect ratio, the output image will be +evenly padded on the short side.} + +\item{fill_mode}{When using \code{pad_to_aspect_ratio=TRUE}, padded areas +are filled according to the given mode. Only \code{"constant"} is +supported at this time +(fill with constant value, equal to \code{fill_value}).} + +\item{fill_value}{Float. Padding value to use when \code{pad_to_aspect_ratio=TRUE}.} + \item{data_format}{string, either \code{"channels_last"} or \code{"channels_first"}. The ordering of the dimensions in the inputs. \code{"channels_last"} corresponds to inputs with shape \verb{(batch, height, width, channels)} diff --git a/man/layer_tfsm.Rd b/man/layer_tfsm.Rd index aa0f4c760..bbe59b65e 100644 --- a/man/layer_tfsm.Rd +++ b/man/layer_tfsm.Rd @@ -59,8 +59,8 @@ model |> export_savedmodel("path/to/artifact") ## Output Type: ## TensorSpec(shape=(None, 10), dtype=tf.float32, name=None) ## Captures: -## 129813643620448: TensorSpec(shape=(), dtype=tf.resource, name=None) -## 129813643612000: TensorSpec(shape=(), dtype=tf.resource, name=None) +## 133110437052480: TensorSpec(shape=(), dtype=tf.resource, name=None) +## 133110437056176: TensorSpec(shape=(), dtype=tf.resource, name=None) }\if{html}{\out{}} diff --git a/man/loss_binary_crossentropy.Rd b/man/loss_binary_crossentropy.Rd index db4be3745..f16189123 100644 --- a/man/loss_binary_crossentropy.Rd +++ b/man/loss_binary_crossentropy.Rd @@ -157,6 +157,7 @@ Other losses: \cr \code{\link{loss_categorical_focal_crossentropy}()} \cr \code{\link{loss_categorical_hinge}()} \cr \code{\link{loss_cosine_similarity}()} \cr +\code{\link{loss_ctc}()} \cr \code{\link{loss_dice}()} \cr \code{\link{loss_hinge}()} \cr \code{\link{loss_huber}()} \cr @@ -169,6 +170,7 @@ Other losses: \cr \code{\link{loss_poisson}()} \cr \code{\link{loss_sparse_categorical_crossentropy}()} \cr \code{\link{loss_squared_hinge}()} \cr +\code{\link{loss_tversky}()} \cr \code{\link{metric_binary_crossentropy}()} \cr \code{\link{metric_binary_focal_crossentropy}()} \cr \code{\link{metric_categorical_crossentropy}()} \cr diff --git a/man/loss_binary_focal_crossentropy.Rd b/man/loss_binary_focal_crossentropy.Rd index 28b83c06a..121470a77 100644 --- a/man/loss_binary_focal_crossentropy.Rd +++ b/man/loss_binary_focal_crossentropy.Rd @@ -235,6 +235,7 @@ Other losses: \cr \code{\link{loss_categorical_focal_crossentropy}()} \cr \code{\link{loss_categorical_hinge}()} \cr \code{\link{loss_cosine_similarity}()} \cr +\code{\link{loss_ctc}()} \cr \code{\link{loss_dice}()} \cr \code{\link{loss_hinge}()} \cr \code{\link{loss_huber}()} \cr @@ -247,6 +248,7 @@ Other losses: \cr \code{\link{loss_poisson}()} \cr \code{\link{loss_sparse_categorical_crossentropy}()} \cr \code{\link{loss_squared_hinge}()} \cr +\code{\link{loss_tversky}()} \cr \code{\link{metric_binary_crossentropy}()} \cr \code{\link{metric_binary_focal_crossentropy}()} \cr \code{\link{metric_categorical_crossentropy}()} \cr diff --git a/man/loss_categorical_crossentropy.Rd b/man/loss_categorical_crossentropy.Rd index 944f60807..5a692bd5b 100644 --- a/man/loss_categorical_crossentropy.Rd +++ b/man/loss_categorical_crossentropy.Rd @@ -119,6 +119,7 @@ Other losses: \cr \code{\link{loss_categorical_focal_crossentropy}()} \cr \code{\link{loss_categorical_hinge}()} \cr \code{\link{loss_cosine_similarity}()} \cr +\code{\link{loss_ctc}()} \cr \code{\link{loss_dice}()} \cr \code{\link{loss_hinge}()} \cr \code{\link{loss_huber}()} \cr @@ -131,6 +132,7 @@ Other losses: \cr \code{\link{loss_poisson}()} \cr \code{\link{loss_sparse_categorical_crossentropy}()} \cr \code{\link{loss_squared_hinge}()} \cr +\code{\link{loss_tversky}()} \cr \code{\link{metric_binary_crossentropy}()} \cr \code{\link{metric_binary_focal_crossentropy}()} \cr \code{\link{metric_categorical_crossentropy}()} \cr diff --git a/man/loss_categorical_focal_crossentropy.Rd b/man/loss_categorical_focal_crossentropy.Rd index ae32c7699..fe05fc361 100644 --- a/man/loss_categorical_focal_crossentropy.Rd +++ b/man/loss_categorical_focal_crossentropy.Rd @@ -162,6 +162,7 @@ Other losses: \cr \code{\link{loss_categorical_crossentropy}()} \cr \code{\link{loss_categorical_hinge}()} \cr \code{\link{loss_cosine_similarity}()} \cr +\code{\link{loss_ctc}()} \cr \code{\link{loss_dice}()} \cr \code{\link{loss_hinge}()} \cr \code{\link{loss_huber}()} \cr @@ -174,6 +175,7 @@ Other losses: \cr \code{\link{loss_poisson}()} \cr \code{\link{loss_sparse_categorical_crossentropy}()} \cr \code{\link{loss_squared_hinge}()} \cr +\code{\link{loss_tversky}()} \cr \code{\link{metric_binary_crossentropy}()} \cr \code{\link{metric_binary_focal_crossentropy}()} \cr \code{\link{metric_categorical_crossentropy}()} \cr diff --git a/man/loss_categorical_hinge.Rd b/man/loss_categorical_hinge.Rd index f6ac013f8..5732a0a13 100644 --- a/man/loss_categorical_hinge.Rd +++ b/man/loss_categorical_hinge.Rd @@ -57,6 +57,7 @@ Other losses: \cr \code{\link{loss_categorical_crossentropy}()} \cr \code{\link{loss_categorical_focal_crossentropy}()} \cr \code{\link{loss_cosine_similarity}()} \cr +\code{\link{loss_ctc}()} \cr \code{\link{loss_dice}()} \cr \code{\link{loss_hinge}()} \cr \code{\link{loss_huber}()} \cr @@ -69,6 +70,7 @@ Other losses: \cr \code{\link{loss_poisson}()} \cr \code{\link{loss_sparse_categorical_crossentropy}()} \cr \code{\link{loss_squared_hinge}()} \cr +\code{\link{loss_tversky}()} \cr \code{\link{metric_binary_crossentropy}()} \cr \code{\link{metric_binary_focal_crossentropy}()} \cr \code{\link{metric_categorical_crossentropy}()} \cr diff --git a/man/loss_cosine_similarity.Rd b/man/loss_cosine_similarity.Rd index 0c7ed13b6..1f44d9d3a 100644 --- a/man/loss_cosine_similarity.Rd +++ b/man/loss_cosine_similarity.Rd @@ -70,6 +70,7 @@ Other losses: \cr \code{\link{loss_categorical_crossentropy}()} \cr \code{\link{loss_categorical_focal_crossentropy}()} \cr \code{\link{loss_categorical_hinge}()} \cr +\code{\link{loss_ctc}()} \cr \code{\link{loss_dice}()} \cr \code{\link{loss_hinge}()} \cr \code{\link{loss_huber}()} \cr @@ -82,6 +83,7 @@ Other losses: \cr \code{\link{loss_poisson}()} \cr \code{\link{loss_sparse_categorical_crossentropy}()} \cr \code{\link{loss_squared_hinge}()} \cr +\code{\link{loss_tversky}()} \cr \code{\link{metric_binary_crossentropy}()} \cr \code{\link{metric_binary_focal_crossentropy}()} \cr \code{\link{metric_categorical_crossentropy}()} \cr diff --git a/man/loss_ctc.Rd b/man/loss_ctc.Rd index e0f7004a1..8f092221d 100644 --- a/man/loss_ctc.Rd +++ b/man/loss_ctc.Rd @@ -35,3 +35,43 @@ CTC loss value. \description{ CTC (Connectionist Temporal Classification) loss. } +\seealso{ +Other losses: \cr +\code{\link{Loss}()} \cr +\code{\link{loss_binary_crossentropy}()} \cr +\code{\link{loss_binary_focal_crossentropy}()} \cr +\code{\link{loss_categorical_crossentropy}()} \cr +\code{\link{loss_categorical_focal_crossentropy}()} \cr +\code{\link{loss_categorical_hinge}()} \cr +\code{\link{loss_cosine_similarity}()} \cr +\code{\link{loss_dice}()} \cr +\code{\link{loss_hinge}()} \cr +\code{\link{loss_huber}()} \cr +\code{\link{loss_kl_divergence}()} \cr +\code{\link{loss_log_cosh}()} \cr +\code{\link{loss_mean_absolute_error}()} \cr +\code{\link{loss_mean_absolute_percentage_error}()} \cr +\code{\link{loss_mean_squared_error}()} \cr +\code{\link{loss_mean_squared_logarithmic_error}()} \cr +\code{\link{loss_poisson}()} \cr +\code{\link{loss_sparse_categorical_crossentropy}()} \cr +\code{\link{loss_squared_hinge}()} \cr +\code{\link{loss_tversky}()} \cr +\code{\link{metric_binary_crossentropy}()} \cr +\code{\link{metric_binary_focal_crossentropy}()} \cr +\code{\link{metric_categorical_crossentropy}()} \cr +\code{\link{metric_categorical_focal_crossentropy}()} \cr +\code{\link{metric_categorical_hinge}()} \cr +\code{\link{metric_hinge}()} \cr +\code{\link{metric_huber}()} \cr +\code{\link{metric_kl_divergence}()} \cr +\code{\link{metric_log_cosh}()} \cr +\code{\link{metric_mean_absolute_error}()} \cr +\code{\link{metric_mean_absolute_percentage_error}()} \cr +\code{\link{metric_mean_squared_error}()} \cr +\code{\link{metric_mean_squared_logarithmic_error}()} \cr +\code{\link{metric_poisson}()} \cr +\code{\link{metric_sparse_categorical_crossentropy}()} \cr +\code{\link{metric_squared_hinge}()} \cr +} +\concept{losses} diff --git a/man/loss_dice.Rd b/man/loss_dice.Rd index 16465e9d3..d04cea080 100644 --- a/man/loss_dice.Rd +++ b/man/loss_dice.Rd @@ -49,6 +49,7 @@ Other losses: \cr \code{\link{loss_categorical_focal_crossentropy}()} \cr \code{\link{loss_categorical_hinge}()} \cr \code{\link{loss_cosine_similarity}()} \cr +\code{\link{loss_ctc}()} \cr \code{\link{loss_hinge}()} \cr \code{\link{loss_huber}()} \cr \code{\link{loss_kl_divergence}()} \cr @@ -60,6 +61,7 @@ Other losses: \cr \code{\link{loss_poisson}()} \cr \code{\link{loss_sparse_categorical_crossentropy}()} \cr \code{\link{loss_squared_hinge}()} \cr +\code{\link{loss_tversky}()} \cr \code{\link{metric_binary_crossentropy}()} \cr \code{\link{metric_binary_focal_crossentropy}()} \cr \code{\link{metric_categorical_crossentropy}()} \cr diff --git a/man/loss_hinge.Rd b/man/loss_hinge.Rd index 677b975df..64e94860d 100644 --- a/man/loss_hinge.Rd +++ b/man/loss_hinge.Rd @@ -64,6 +64,7 @@ Other losses: \cr \code{\link{loss_categorical_focal_crossentropy}()} \cr \code{\link{loss_categorical_hinge}()} \cr \code{\link{loss_cosine_similarity}()} \cr +\code{\link{loss_ctc}()} \cr \code{\link{loss_dice}()} \cr \code{\link{loss_huber}()} \cr \code{\link{loss_kl_divergence}()} \cr @@ -75,6 +76,7 @@ Other losses: \cr \code{\link{loss_poisson}()} \cr \code{\link{loss_sparse_categorical_crossentropy}()} \cr \code{\link{loss_squared_hinge}()} \cr +\code{\link{loss_tversky}()} \cr \code{\link{metric_binary_crossentropy}()} \cr \code{\link{metric_binary_focal_crossentropy}()} \cr \code{\link{metric_categorical_crossentropy}()} \cr diff --git a/man/loss_huber.Rd b/man/loss_huber.Rd index d702fea45..59c90839e 100644 --- a/man/loss_huber.Rd +++ b/man/loss_huber.Rd @@ -67,6 +67,7 @@ Other losses: \cr \code{\link{loss_categorical_focal_crossentropy}()} \cr \code{\link{loss_categorical_hinge}()} \cr \code{\link{loss_cosine_similarity}()} \cr +\code{\link{loss_ctc}()} \cr \code{\link{loss_dice}()} \cr \code{\link{loss_hinge}()} \cr \code{\link{loss_kl_divergence}()} \cr @@ -78,6 +79,7 @@ Other losses: \cr \code{\link{loss_poisson}()} \cr \code{\link{loss_sparse_categorical_crossentropy}()} \cr \code{\link{loss_squared_hinge}()} \cr +\code{\link{loss_tversky}()} \cr \code{\link{metric_binary_crossentropy}()} \cr \code{\link{metric_binary_focal_crossentropy}()} \cr \code{\link{metric_categorical_crossentropy}()} \cr diff --git a/man/loss_kl_divergence.Rd b/man/loss_kl_divergence.Rd index 2e8a66f6a..7f786fd25 100644 --- a/man/loss_kl_divergence.Rd +++ b/man/loss_kl_divergence.Rd @@ -33,6 +33,10 @@ Formula: \if{html}{\out{
}}\preformatted{loss <- y_true * log(y_true / y_pred) }\if{html}{\out{
}} + +\code{y_true} and \code{y_pred} are expected to be probability +distributions, with values between 0 and 1. They will get +clipped to the \verb{[0, 1]} range. } \section{Examples}{ \if{html}{\out{
}}\preformatted{y_true <- random_uniform(c(2, 3), 0, 2) @@ -59,6 +63,7 @@ Other losses: \cr \code{\link{loss_categorical_focal_crossentropy}()} \cr \code{\link{loss_categorical_hinge}()} \cr \code{\link{loss_cosine_similarity}()} \cr +\code{\link{loss_ctc}()} \cr \code{\link{loss_dice}()} \cr \code{\link{loss_hinge}()} \cr \code{\link{loss_huber}()} \cr @@ -70,6 +75,7 @@ Other losses: \cr \code{\link{loss_poisson}()} \cr \code{\link{loss_sparse_categorical_crossentropy}()} \cr \code{\link{loss_squared_hinge}()} \cr +\code{\link{loss_tversky}()} \cr \code{\link{metric_binary_crossentropy}()} \cr \code{\link{metric_binary_focal_crossentropy}()} \cr \code{\link{metric_categorical_crossentropy}()} \cr diff --git a/man/loss_log_cosh.Rd b/man/loss_log_cosh.Rd index d34d85d46..e84a002eb 100644 --- a/man/loss_log_cosh.Rd +++ b/man/loss_log_cosh.Rd @@ -60,6 +60,7 @@ Other losses: \cr \code{\link{loss_categorical_focal_crossentropy}()} \cr \code{\link{loss_categorical_hinge}()} \cr \code{\link{loss_cosine_similarity}()} \cr +\code{\link{loss_ctc}()} \cr \code{\link{loss_dice}()} \cr \code{\link{loss_hinge}()} \cr \code{\link{loss_huber}()} \cr @@ -71,6 +72,7 @@ Other losses: \cr \code{\link{loss_poisson}()} \cr \code{\link{loss_sparse_categorical_crossentropy}()} \cr \code{\link{loss_squared_hinge}()} \cr +\code{\link{loss_tversky}()} \cr \code{\link{metric_binary_crossentropy}()} \cr \code{\link{metric_binary_focal_crossentropy}()} \cr \code{\link{metric_categorical_crossentropy}()} \cr diff --git a/man/loss_mean_absolute_error.Rd b/man/loss_mean_absolute_error.Rd index 52746701e..057b5d09f 100644 --- a/man/loss_mean_absolute_error.Rd +++ b/man/loss_mean_absolute_error.Rd @@ -54,6 +54,7 @@ Other losses: \cr \code{\link{loss_categorical_focal_crossentropy}()} \cr \code{\link{loss_categorical_hinge}()} \cr \code{\link{loss_cosine_similarity}()} \cr +\code{\link{loss_ctc}()} \cr \code{\link{loss_dice}()} \cr \code{\link{loss_hinge}()} \cr \code{\link{loss_huber}()} \cr @@ -65,6 +66,7 @@ Other losses: \cr \code{\link{loss_poisson}()} \cr \code{\link{loss_sparse_categorical_crossentropy}()} \cr \code{\link{loss_squared_hinge}()} \cr +\code{\link{loss_tversky}()} \cr \code{\link{metric_binary_crossentropy}()} \cr \code{\link{metric_binary_focal_crossentropy}()} \cr \code{\link{metric_categorical_crossentropy}()} \cr diff --git a/man/loss_mean_absolute_percentage_error.Rd b/man/loss_mean_absolute_percentage_error.Rd index 06c03acb9..3d3f1e783 100644 --- a/man/loss_mean_absolute_percentage_error.Rd +++ b/man/loss_mean_absolute_percentage_error.Rd @@ -59,6 +59,7 @@ Other losses: \cr \code{\link{loss_categorical_focal_crossentropy}()} \cr \code{\link{loss_categorical_hinge}()} \cr \code{\link{loss_cosine_similarity}()} \cr +\code{\link{loss_ctc}()} \cr \code{\link{loss_dice}()} \cr \code{\link{loss_hinge}()} \cr \code{\link{loss_huber}()} \cr @@ -70,6 +71,7 @@ Other losses: \cr \code{\link{loss_poisson}()} \cr \code{\link{loss_sparse_categorical_crossentropy}()} \cr \code{\link{loss_squared_hinge}()} \cr +\code{\link{loss_tversky}()} \cr \code{\link{metric_binary_crossentropy}()} \cr \code{\link{metric_binary_focal_crossentropy}()} \cr \code{\link{metric_categorical_crossentropy}()} \cr diff --git a/man/loss_mean_squared_error.Rd b/man/loss_mean_squared_error.Rd index 7b09c50f9..1302f0c3b 100644 --- a/man/loss_mean_squared_error.Rd +++ b/man/loss_mean_squared_error.Rd @@ -54,6 +54,7 @@ Other losses: \cr \code{\link{loss_categorical_focal_crossentropy}()} \cr \code{\link{loss_categorical_hinge}()} \cr \code{\link{loss_cosine_similarity}()} \cr +\code{\link{loss_ctc}()} \cr \code{\link{loss_dice}()} \cr \code{\link{loss_hinge}()} \cr \code{\link{loss_huber}()} \cr @@ -65,6 +66,7 @@ Other losses: \cr \code{\link{loss_poisson}()} \cr \code{\link{loss_sparse_categorical_crossentropy}()} \cr \code{\link{loss_squared_hinge}()} \cr +\code{\link{loss_tversky}()} \cr \code{\link{metric_binary_crossentropy}()} \cr \code{\link{metric_binary_focal_crossentropy}()} \cr \code{\link{metric_categorical_crossentropy}()} \cr diff --git a/man/loss_mean_squared_logarithmic_error.Rd b/man/loss_mean_squared_logarithmic_error.Rd index 84235d091..4d67afe5c 100644 --- a/man/loss_mean_squared_logarithmic_error.Rd +++ b/man/loss_mean_squared_logarithmic_error.Rd @@ -58,6 +58,7 @@ Other losses: \cr \code{\link{loss_categorical_focal_crossentropy}()} \cr \code{\link{loss_categorical_hinge}()} \cr \code{\link{loss_cosine_similarity}()} \cr +\code{\link{loss_ctc}()} \cr \code{\link{loss_dice}()} \cr \code{\link{loss_hinge}()} \cr \code{\link{loss_huber}()} \cr @@ -69,6 +70,7 @@ Other losses: \cr \code{\link{loss_poisson}()} \cr \code{\link{loss_sparse_categorical_crossentropy}()} \cr \code{\link{loss_squared_hinge}()} \cr +\code{\link{loss_tversky}()} \cr \code{\link{metric_binary_crossentropy}()} \cr \code{\link{metric_binary_focal_crossentropy}()} \cr \code{\link{metric_categorical_crossentropy}()} \cr diff --git a/man/loss_poisson.Rd b/man/loss_poisson.Rd index df5b0dc7a..636cceefb 100644 --- a/man/loss_poisson.Rd +++ b/man/loss_poisson.Rd @@ -59,6 +59,7 @@ Other losses: \cr \code{\link{loss_categorical_focal_crossentropy}()} \cr \code{\link{loss_categorical_hinge}()} \cr \code{\link{loss_cosine_similarity}()} \cr +\code{\link{loss_ctc}()} \cr \code{\link{loss_dice}()} \cr \code{\link{loss_hinge}()} \cr \code{\link{loss_huber}()} \cr @@ -70,6 +71,7 @@ Other losses: \cr \code{\link{loss_mean_squared_logarithmic_error}()} \cr \code{\link{loss_sparse_categorical_crossentropy}()} \cr \code{\link{loss_squared_hinge}()} \cr +\code{\link{loss_tversky}()} \cr \code{\link{metric_binary_crossentropy}()} \cr \code{\link{metric_binary_focal_crossentropy}()} \cr \code{\link{metric_categorical_crossentropy}()} \cr diff --git a/man/loss_sparse_categorical_crossentropy.Rd b/man/loss_sparse_categorical_crossentropy.Rd index cb1943410..ae7c71e7b 100644 --- a/man/loss_sparse_categorical_crossentropy.Rd +++ b/man/loss_sparse_categorical_crossentropy.Rd @@ -133,6 +133,7 @@ Other losses: \cr \code{\link{loss_categorical_focal_crossentropy}()} \cr \code{\link{loss_categorical_hinge}()} \cr \code{\link{loss_cosine_similarity}()} \cr +\code{\link{loss_ctc}()} \cr \code{\link{loss_dice}()} \cr \code{\link{loss_hinge}()} \cr \code{\link{loss_huber}()} \cr @@ -144,6 +145,7 @@ Other losses: \cr \code{\link{loss_mean_squared_logarithmic_error}()} \cr \code{\link{loss_poisson}()} \cr \code{\link{loss_squared_hinge}()} \cr +\code{\link{loss_tversky}()} \cr \code{\link{metric_binary_crossentropy}()} \cr \code{\link{metric_binary_focal_crossentropy}()} \cr \code{\link{metric_categorical_crossentropy}()} \cr diff --git a/man/loss_squared_hinge.Rd b/man/loss_squared_hinge.Rd index 4962ae741..fd6d43ddc 100644 --- a/man/loss_squared_hinge.Rd +++ b/man/loss_squared_hinge.Rd @@ -59,6 +59,7 @@ Other losses: \cr \code{\link{loss_categorical_focal_crossentropy}()} \cr \code{\link{loss_categorical_hinge}()} \cr \code{\link{loss_cosine_similarity}()} \cr +\code{\link{loss_ctc}()} \cr \code{\link{loss_dice}()} \cr \code{\link{loss_hinge}()} \cr \code{\link{loss_huber}()} \cr @@ -70,6 +71,7 @@ Other losses: \cr \code{\link{loss_mean_squared_logarithmic_error}()} \cr \code{\link{loss_poisson}()} \cr \code{\link{loss_sparse_categorical_crossentropy}()} \cr +\code{\link{loss_tversky}()} \cr \code{\link{metric_binary_crossentropy}()} \cr \code{\link{metric_binary_focal_crossentropy}()} \cr \code{\link{metric_categorical_crossentropy}()} \cr diff --git a/man/loss_tversky.Rd b/man/loss_tversky.Rd new file mode 100644 index 000000000..259ee63aa --- /dev/null +++ b/man/loss_tversky.Rd @@ -0,0 +1,95 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/losses.R +\name{loss_tversky} +\alias{loss_tversky} +\title{Computes the Tversky loss value between \code{y_true} and \code{y_pred}.} +\usage{ +loss_tversky( + y_true, + y_pred, + ..., + alpha = 0.5, + beta = 0.5, + reduction = "sum_over_batch_size", + name = "tversky" +) +} +\arguments{ +\item{y_true}{tensor of true targets.} + +\item{y_pred}{tensor of predicted targets.} + +\item{...}{For forward/backward compatability.} + +\item{alpha}{coefficient controlling incidence of false positives.} + +\item{beta}{coefficient controlling incidence of false negatives.} + +\item{reduction}{Type of reduction to apply to the loss. In almost all cases +this should be \code{"sum_over_batch_size"}. +Supported options are \code{"sum"}, \code{"sum_over_batch_size"} or \code{NULL}.} + +\item{name}{String, name for the object} +} +\value{ +Tversky loss value. +} +\description{ +This loss function is weighted by the alpha and beta coefficients +that penalize false positives and false negatives. + +With \code{alpha=0.5} and \code{beta=0.5}, the loss value becomes equivalent to +Dice Loss. + +This loss function is weighted by the alpha and beta coefficients +that penalize false positives and false negatives. + +With \code{alpha=0.5} and \code{beta=0.5}, the loss value becomes equivalent to +Dice Loss. +} +\section{Reference}{ +\itemize{ +\item \href{https://arxiv.org/abs/1706.05721}{Salehi et al., 2017} +} +} + +\seealso{ +Other losses: \cr +\code{\link{Loss}()} \cr +\code{\link{loss_binary_crossentropy}()} \cr +\code{\link{loss_binary_focal_crossentropy}()} \cr +\code{\link{loss_categorical_crossentropy}()} \cr +\code{\link{loss_categorical_focal_crossentropy}()} \cr +\code{\link{loss_categorical_hinge}()} \cr +\code{\link{loss_cosine_similarity}()} \cr +\code{\link{loss_ctc}()} \cr +\code{\link{loss_dice}()} \cr +\code{\link{loss_hinge}()} \cr +\code{\link{loss_huber}()} \cr +\code{\link{loss_kl_divergence}()} \cr +\code{\link{loss_log_cosh}()} \cr +\code{\link{loss_mean_absolute_error}()} \cr +\code{\link{loss_mean_absolute_percentage_error}()} \cr +\code{\link{loss_mean_squared_error}()} \cr +\code{\link{loss_mean_squared_logarithmic_error}()} \cr +\code{\link{loss_poisson}()} \cr +\code{\link{loss_sparse_categorical_crossentropy}()} \cr +\code{\link{loss_squared_hinge}()} \cr +\code{\link{metric_binary_crossentropy}()} \cr +\code{\link{metric_binary_focal_crossentropy}()} \cr +\code{\link{metric_categorical_crossentropy}()} \cr +\code{\link{metric_categorical_focal_crossentropy}()} \cr +\code{\link{metric_categorical_hinge}()} \cr +\code{\link{metric_hinge}()} \cr +\code{\link{metric_huber}()} \cr +\code{\link{metric_kl_divergence}()} \cr +\code{\link{metric_log_cosh}()} \cr +\code{\link{metric_mean_absolute_error}()} \cr +\code{\link{metric_mean_absolute_percentage_error}()} \cr +\code{\link{metric_mean_squared_error}()} \cr +\code{\link{metric_mean_squared_logarithmic_error}()} \cr +\code{\link{metric_poisson}()} \cr +\code{\link{metric_sparse_categorical_crossentropy}()} \cr +\code{\link{metric_squared_hinge}()} \cr +} +\concept{losses} diff --git a/man/metric_binary_crossentropy.Rd b/man/metric_binary_crossentropy.Rd index 5a264d0ce..494b9e27a 100644 --- a/man/metric_binary_crossentropy.Rd +++ b/man/metric_binary_crossentropy.Rd @@ -93,6 +93,7 @@ Other losses: \cr \code{\link{loss_categorical_focal_crossentropy}()} \cr \code{\link{loss_categorical_hinge}()} \cr \code{\link{loss_cosine_similarity}()} \cr +\code{\link{loss_ctc}()} \cr \code{\link{loss_dice}()} \cr \code{\link{loss_hinge}()} \cr \code{\link{loss_huber}()} \cr @@ -105,6 +106,7 @@ Other losses: \cr \code{\link{loss_poisson}()} \cr \code{\link{loss_sparse_categorical_crossentropy}()} \cr \code{\link{loss_squared_hinge}()} \cr +\code{\link{loss_tversky}()} \cr \code{\link{metric_binary_focal_crossentropy}()} \cr \code{\link{metric_categorical_crossentropy}()} \cr \code{\link{metric_categorical_focal_crossentropy}()} \cr diff --git a/man/metric_binary_focal_crossentropy.Rd b/man/metric_binary_focal_crossentropy.Rd index 94434b31f..20fe06b39 100644 --- a/man/metric_binary_focal_crossentropy.Rd +++ b/man/metric_binary_focal_crossentropy.Rd @@ -81,6 +81,7 @@ Other losses: \cr \code{\link{loss_categorical_focal_crossentropy}()} \cr \code{\link{loss_categorical_hinge}()} \cr \code{\link{loss_cosine_similarity}()} \cr +\code{\link{loss_ctc}()} \cr \code{\link{loss_dice}()} \cr \code{\link{loss_hinge}()} \cr \code{\link{loss_huber}()} \cr @@ -93,6 +94,7 @@ Other losses: \cr \code{\link{loss_poisson}()} \cr \code{\link{loss_sparse_categorical_crossentropy}()} \cr \code{\link{loss_squared_hinge}()} \cr +\code{\link{loss_tversky}()} \cr \code{\link{metric_binary_crossentropy}()} \cr \code{\link{metric_categorical_crossentropy}()} \cr \code{\link{metric_categorical_focal_crossentropy}()} \cr diff --git a/man/metric_categorical_crossentropy.Rd b/man/metric_categorical_crossentropy.Rd index 36596591a..bd3ece6c6 100644 --- a/man/metric_categorical_crossentropy.Rd +++ b/man/metric_categorical_crossentropy.Rd @@ -108,6 +108,7 @@ Other losses: \cr \code{\link{loss_categorical_focal_crossentropy}()} \cr \code{\link{loss_categorical_hinge}()} \cr \code{\link{loss_cosine_similarity}()} \cr +\code{\link{loss_ctc}()} \cr \code{\link{loss_dice}()} \cr \code{\link{loss_hinge}()} \cr \code{\link{loss_huber}()} \cr @@ -120,6 +121,7 @@ Other losses: \cr \code{\link{loss_poisson}()} \cr \code{\link{loss_sparse_categorical_crossentropy}()} \cr \code{\link{loss_squared_hinge}()} \cr +\code{\link{loss_tversky}()} \cr \code{\link{metric_binary_crossentropy}()} \cr \code{\link{metric_binary_focal_crossentropy}()} \cr \code{\link{metric_categorical_focal_crossentropy}()} \cr diff --git a/man/metric_categorical_focal_crossentropy.Rd b/man/metric_categorical_focal_crossentropy.Rd index 6cdf74144..b8d0b5383 100644 --- a/man/metric_categorical_focal_crossentropy.Rd +++ b/man/metric_categorical_focal_crossentropy.Rd @@ -67,6 +67,7 @@ Other losses: \cr \code{\link{loss_categorical_focal_crossentropy}()} \cr \code{\link{loss_categorical_hinge}()} \cr \code{\link{loss_cosine_similarity}()} \cr +\code{\link{loss_ctc}()} \cr \code{\link{loss_dice}()} \cr \code{\link{loss_hinge}()} \cr \code{\link{loss_huber}()} \cr @@ -79,6 +80,7 @@ Other losses: \cr \code{\link{loss_poisson}()} \cr \code{\link{loss_sparse_categorical_crossentropy}()} \cr \code{\link{loss_squared_hinge}()} \cr +\code{\link{loss_tversky}()} \cr \code{\link{metric_binary_crossentropy}()} \cr \code{\link{metric_binary_focal_crossentropy}()} \cr \code{\link{metric_categorical_crossentropy}()} \cr diff --git a/man/metric_categorical_hinge.Rd b/man/metric_categorical_hinge.Rd index 0cfc67939..536adc4ee 100644 --- a/man/metric_categorical_hinge.Rd +++ b/man/metric_categorical_hinge.Rd @@ -72,6 +72,7 @@ Other losses: \cr \code{\link{loss_categorical_focal_crossentropy}()} \cr \code{\link{loss_categorical_hinge}()} \cr \code{\link{loss_cosine_similarity}()} \cr +\code{\link{loss_ctc}()} \cr \code{\link{loss_dice}()} \cr \code{\link{loss_hinge}()} \cr \code{\link{loss_huber}()} \cr @@ -84,6 +85,7 @@ Other losses: \cr \code{\link{loss_poisson}()} \cr \code{\link{loss_sparse_categorical_crossentropy}()} \cr \code{\link{loss_squared_hinge}()} \cr +\code{\link{loss_tversky}()} \cr \code{\link{metric_binary_crossentropy}()} \cr \code{\link{metric_binary_focal_crossentropy}()} \cr \code{\link{metric_categorical_crossentropy}()} \cr diff --git a/man/metric_hinge.Rd b/man/metric_hinge.Rd index 878d3d1af..07afcf433 100644 --- a/man/metric_hinge.Rd +++ b/man/metric_hinge.Rd @@ -71,6 +71,7 @@ Other losses: \cr \code{\link{loss_categorical_focal_crossentropy}()} \cr \code{\link{loss_categorical_hinge}()} \cr \code{\link{loss_cosine_similarity}()} \cr +\code{\link{loss_ctc}()} \cr \code{\link{loss_dice}()} \cr \code{\link{loss_hinge}()} \cr \code{\link{loss_huber}()} \cr @@ -83,6 +84,7 @@ Other losses: \cr \code{\link{loss_poisson}()} \cr \code{\link{loss_sparse_categorical_crossentropy}()} \cr \code{\link{loss_squared_hinge}()} \cr +\code{\link{loss_tversky}()} \cr \code{\link{metric_binary_crossentropy}()} \cr \code{\link{metric_binary_focal_crossentropy}()} \cr \code{\link{metric_categorical_crossentropy}()} \cr diff --git a/man/metric_huber.Rd b/man/metric_huber.Rd index 1aa1bdefe..9f14f9ff8 100644 --- a/man/metric_huber.Rd +++ b/man/metric_huber.Rd @@ -48,6 +48,7 @@ Other losses: \cr \code{\link{loss_categorical_focal_crossentropy}()} \cr \code{\link{loss_categorical_hinge}()} \cr \code{\link{loss_cosine_similarity}()} \cr +\code{\link{loss_ctc}()} \cr \code{\link{loss_dice}()} \cr \code{\link{loss_hinge}()} \cr \code{\link{loss_huber}()} \cr @@ -60,6 +61,7 @@ Other losses: \cr \code{\link{loss_poisson}()} \cr \code{\link{loss_sparse_categorical_crossentropy}()} \cr \code{\link{loss_squared_hinge}()} \cr +\code{\link{loss_tversky}()} \cr \code{\link{metric_binary_crossentropy}()} \cr \code{\link{metric_binary_focal_crossentropy}()} \cr \code{\link{metric_categorical_crossentropy}()} \cr diff --git a/man/metric_kl_divergence.Rd b/man/metric_kl_divergence.Rd index 23001ee9e..5e6947617 100644 --- a/man/metric_kl_divergence.Rd +++ b/man/metric_kl_divergence.Rd @@ -29,6 +29,10 @@ Formula: \if{html}{\out{
}}\preformatted{loss <- y_true * log(y_true / y_pred) }\if{html}{\out{
}} + +\code{y_true} and \code{y_pred} are expected to be probability +distributions, with values between 0 and 1. They will get +clipped to the \verb{[0, 1]} range. } \section{Usage}{ Standalone usage: @@ -73,6 +77,7 @@ Other losses: \cr \code{\link{loss_categorical_focal_crossentropy}()} \cr \code{\link{loss_categorical_hinge}()} \cr \code{\link{loss_cosine_similarity}()} \cr +\code{\link{loss_ctc}()} \cr \code{\link{loss_dice}()} \cr \code{\link{loss_hinge}()} \cr \code{\link{loss_huber}()} \cr @@ -85,6 +90,7 @@ Other losses: \cr \code{\link{loss_poisson}()} \cr \code{\link{loss_sparse_categorical_crossentropy}()} \cr \code{\link{loss_squared_hinge}()} \cr +\code{\link{loss_tversky}()} \cr \code{\link{metric_binary_crossentropy}()} \cr \code{\link{metric_binary_focal_crossentropy}()} \cr \code{\link{metric_categorical_crossentropy}()} \cr diff --git a/man/metric_log_cosh.Rd b/man/metric_log_cosh.Rd index d97774997..d7da826bf 100644 --- a/man/metric_log_cosh.Rd +++ b/man/metric_log_cosh.Rd @@ -46,6 +46,7 @@ Other losses: \cr \code{\link{loss_categorical_focal_crossentropy}()} \cr \code{\link{loss_categorical_hinge}()} \cr \code{\link{loss_cosine_similarity}()} \cr +\code{\link{loss_ctc}()} \cr \code{\link{loss_dice}()} \cr \code{\link{loss_hinge}()} \cr \code{\link{loss_huber}()} \cr @@ -58,6 +59,7 @@ Other losses: \cr \code{\link{loss_poisson}()} \cr \code{\link{loss_sparse_categorical_crossentropy}()} \cr \code{\link{loss_squared_hinge}()} \cr +\code{\link{loss_tversky}()} \cr \code{\link{metric_binary_crossentropy}()} \cr \code{\link{metric_binary_focal_crossentropy}()} \cr \code{\link{metric_categorical_crossentropy}()} \cr diff --git a/man/metric_mean_absolute_error.Rd b/man/metric_mean_absolute_error.Rd index 7760b6308..a16800711 100644 --- a/man/metric_mean_absolute_error.Rd +++ b/man/metric_mean_absolute_error.Rd @@ -80,6 +80,7 @@ Other losses: \cr \code{\link{loss_categorical_focal_crossentropy}()} \cr \code{\link{loss_categorical_hinge}()} \cr \code{\link{loss_cosine_similarity}()} \cr +\code{\link{loss_ctc}()} \cr \code{\link{loss_dice}()} \cr \code{\link{loss_hinge}()} \cr \code{\link{loss_huber}()} \cr @@ -92,6 +93,7 @@ Other losses: \cr \code{\link{loss_poisson}()} \cr \code{\link{loss_sparse_categorical_crossentropy}()} \cr \code{\link{loss_squared_hinge}()} \cr +\code{\link{loss_tversky}()} \cr \code{\link{metric_binary_crossentropy}()} \cr \code{\link{metric_binary_focal_crossentropy}()} \cr \code{\link{metric_categorical_crossentropy}()} \cr diff --git a/man/metric_mean_absolute_percentage_error.Rd b/man/metric_mean_absolute_percentage_error.Rd index 32652a186..29a80936d 100644 --- a/man/metric_mean_absolute_percentage_error.Rd +++ b/man/metric_mean_absolute_percentage_error.Rd @@ -84,6 +84,7 @@ Other losses: \cr \code{\link{loss_categorical_focal_crossentropy}()} \cr \code{\link{loss_categorical_hinge}()} \cr \code{\link{loss_cosine_similarity}()} \cr +\code{\link{loss_ctc}()} \cr \code{\link{loss_dice}()} \cr \code{\link{loss_hinge}()} \cr \code{\link{loss_huber}()} \cr @@ -96,6 +97,7 @@ Other losses: \cr \code{\link{loss_poisson}()} \cr \code{\link{loss_sparse_categorical_crossentropy}()} \cr \code{\link{loss_squared_hinge}()} \cr +\code{\link{loss_tversky}()} \cr \code{\link{metric_binary_crossentropy}()} \cr \code{\link{metric_binary_focal_crossentropy}()} \cr \code{\link{metric_categorical_crossentropy}()} \cr diff --git a/man/metric_mean_squared_error.Rd b/man/metric_mean_squared_error.Rd index 6bab00554..507ef8496 100644 --- a/man/metric_mean_squared_error.Rd +++ b/man/metric_mean_squared_error.Rd @@ -60,6 +60,7 @@ Other losses: \cr \code{\link{loss_categorical_focal_crossentropy}()} \cr \code{\link{loss_categorical_hinge}()} \cr \code{\link{loss_cosine_similarity}()} \cr +\code{\link{loss_ctc}()} \cr \code{\link{loss_dice}()} \cr \code{\link{loss_hinge}()} \cr \code{\link{loss_huber}()} \cr @@ -72,6 +73,7 @@ Other losses: \cr \code{\link{loss_poisson}()} \cr \code{\link{loss_sparse_categorical_crossentropy}()} \cr \code{\link{loss_squared_hinge}()} \cr +\code{\link{loss_tversky}()} \cr \code{\link{metric_binary_crossentropy}()} \cr \code{\link{metric_binary_focal_crossentropy}()} \cr \code{\link{metric_categorical_crossentropy}()} \cr diff --git a/man/metric_mean_squared_logarithmic_error.Rd b/man/metric_mean_squared_logarithmic_error.Rd index bc4ca3703..644af8d2c 100644 --- a/man/metric_mean_squared_logarithmic_error.Rd +++ b/man/metric_mean_squared_logarithmic_error.Rd @@ -84,6 +84,7 @@ Other losses: \cr \code{\link{loss_categorical_focal_crossentropy}()} \cr \code{\link{loss_categorical_hinge}()} \cr \code{\link{loss_cosine_similarity}()} \cr +\code{\link{loss_ctc}()} \cr \code{\link{loss_dice}()} \cr \code{\link{loss_hinge}()} \cr \code{\link{loss_huber}()} \cr @@ -96,6 +97,7 @@ Other losses: \cr \code{\link{loss_poisson}()} \cr \code{\link{loss_sparse_categorical_crossentropy}()} \cr \code{\link{loss_squared_hinge}()} \cr +\code{\link{loss_tversky}()} \cr \code{\link{metric_binary_crossentropy}()} \cr \code{\link{metric_binary_focal_crossentropy}()} \cr \code{\link{metric_categorical_crossentropy}()} \cr diff --git a/man/metric_poisson.Rd b/man/metric_poisson.Rd index 110b14ca3..b2f56eae9 100644 --- a/man/metric_poisson.Rd +++ b/man/metric_poisson.Rd @@ -75,6 +75,7 @@ Other losses: \cr \code{\link{loss_categorical_focal_crossentropy}()} \cr \code{\link{loss_categorical_hinge}()} \cr \code{\link{loss_cosine_similarity}()} \cr +\code{\link{loss_ctc}()} \cr \code{\link{loss_dice}()} \cr \code{\link{loss_hinge}()} \cr \code{\link{loss_huber}()} \cr @@ -87,6 +88,7 @@ Other losses: \cr \code{\link{loss_poisson}()} \cr \code{\link{loss_sparse_categorical_crossentropy}()} \cr \code{\link{loss_squared_hinge}()} \cr +\code{\link{loss_tversky}()} \cr \code{\link{metric_binary_crossentropy}()} \cr \code{\link{metric_binary_focal_crossentropy}()} \cr \code{\link{metric_categorical_crossentropy}()} \cr diff --git a/man/metric_sparse_categorical_crossentropy.Rd b/man/metric_sparse_categorical_crossentropy.Rd index 022ff5d8c..911a74568 100644 --- a/man/metric_sparse_categorical_crossentropy.Rd +++ b/man/metric_sparse_categorical_crossentropy.Rd @@ -104,6 +104,7 @@ Other losses: \cr \code{\link{loss_categorical_focal_crossentropy}()} \cr \code{\link{loss_categorical_hinge}()} \cr \code{\link{loss_cosine_similarity}()} \cr +\code{\link{loss_ctc}()} \cr \code{\link{loss_dice}()} \cr \code{\link{loss_hinge}()} \cr \code{\link{loss_huber}()} \cr @@ -116,6 +117,7 @@ Other losses: \cr \code{\link{loss_poisson}()} \cr \code{\link{loss_sparse_categorical_crossentropy}()} \cr \code{\link{loss_squared_hinge}()} \cr +\code{\link{loss_tversky}()} \cr \code{\link{metric_binary_crossentropy}()} \cr \code{\link{metric_binary_focal_crossentropy}()} \cr \code{\link{metric_categorical_crossentropy}()} \cr diff --git a/man/metric_squared_hinge.Rd b/man/metric_squared_hinge.Rd index 98251825f..8dac6e548 100644 --- a/man/metric_squared_hinge.Rd +++ b/man/metric_squared_hinge.Rd @@ -71,6 +71,7 @@ Other losses: \cr \code{\link{loss_categorical_focal_crossentropy}()} \cr \code{\link{loss_categorical_hinge}()} \cr \code{\link{loss_cosine_similarity}()} \cr +\code{\link{loss_ctc}()} \cr \code{\link{loss_dice}()} \cr \code{\link{loss_hinge}()} \cr \code{\link{loss_huber}()} \cr @@ -83,6 +84,7 @@ Other losses: \cr \code{\link{loss_poisson}()} \cr \code{\link{loss_sparse_categorical_crossentropy}()} \cr \code{\link{loss_squared_hinge}()} \cr +\code{\link{loss_tversky}()} \cr \code{\link{metric_binary_crossentropy}()} \cr \code{\link{metric_binary_focal_crossentropy}()} \cr \code{\link{metric_categorical_crossentropy}()} \cr diff --git a/man/op_abs.Rd b/man/op_abs.Rd index 8568a258d..f213c3651 100644 --- a/man/op_abs.Rd +++ b/man/op_abs.Rd @@ -56,6 +56,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -130,6 +131,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -157,6 +159,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -203,6 +206,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -217,6 +221,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -251,6 +256,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -323,6 +329,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -368,6 +375,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_add.Rd b/man/op_add.Rd index 4e380d11d..cc330c4ab 100644 --- a/man/op_add.Rd +++ b/man/op_add.Rd @@ -101,6 +101,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -175,6 +176,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -202,6 +204,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -248,6 +251,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -262,6 +266,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -296,6 +301,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -368,6 +374,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -413,6 +420,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_all.Rd b/man/op_all.Rd index cfde0f9dc..176680b72 100644 --- a/man/op_all.Rd +++ b/man/op_all.Rd @@ -17,7 +17,7 @@ for the last to the first axis.} \item{keepdims}{If \code{TRUE}, axes which are reduced are left in the result as dimensions with size one. With this option, the result will -broadcast correctly against the input array. Defaults to\code{FALSE}.} +broadcast correctly against the input array. Defaults to \code{FALSE}.} } \value{ The tensor containing the logical AND reduction over the \code{axis}. @@ -96,6 +96,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -170,6 +171,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -197,6 +199,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -243,6 +246,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -257,6 +261,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -291,6 +296,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -363,6 +369,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -408,6 +415,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_any.Rd b/man/op_any.Rd index 3a299ac86..83b629a6f 100644 --- a/man/op_any.Rd +++ b/man/op_any.Rd @@ -118,6 +118,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -192,6 +193,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -219,6 +221,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -265,6 +268,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -279,6 +283,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -313,6 +318,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -385,6 +391,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -430,6 +437,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_append.Rd b/man/op_append.Rd index 416f9fe91..bcf5636fa 100644 --- a/man/op_append.Rd +++ b/man/op_append.Rd @@ -89,6 +89,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -163,6 +164,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -190,6 +192,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -236,6 +239,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -250,6 +254,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -284,6 +289,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -356,6 +362,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -401,6 +408,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_arange.Rd b/man/op_arange.Rd index e465b04be..84932bfa8 100644 --- a/man/op_arange.Rd +++ b/man/op_arange.Rd @@ -113,6 +113,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -187,6 +188,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -214,6 +216,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -260,6 +263,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -274,6 +278,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -308,6 +313,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -380,6 +386,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -425,6 +432,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_arccos.Rd b/man/op_arccos.Rd index 2e87298f0..cfec1a734 100644 --- a/man/op_arccos.Rd +++ b/man/op_arccos.Rd @@ -61,6 +61,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -135,6 +136,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -162,6 +164,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -208,6 +211,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -222,6 +226,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -256,6 +261,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -328,6 +334,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -373,6 +380,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_arccosh.Rd b/man/op_arccosh.Rd index a6a31e22f..79227aeb7 100644 --- a/man/op_arccosh.Rd +++ b/man/op_arccosh.Rd @@ -56,6 +56,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -130,6 +131,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -157,6 +159,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -203,6 +206,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -217,6 +221,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -251,6 +256,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -323,6 +329,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -368,6 +375,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_arcsin.Rd b/man/op_arcsin.Rd index 256503ab8..a3603dc58 100644 --- a/man/op_arcsin.Rd +++ b/man/op_arcsin.Rd @@ -61,6 +61,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -135,6 +136,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -162,6 +164,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -208,6 +211,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -222,6 +226,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -256,6 +261,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -328,6 +334,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -373,6 +380,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_arcsinh.Rd b/man/op_arcsinh.Rd index 790f9c326..863ba5f3f 100644 --- a/man/op_arcsinh.Rd +++ b/man/op_arcsinh.Rd @@ -60,6 +60,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -134,6 +135,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -161,6 +163,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -207,6 +210,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -221,6 +225,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -255,6 +260,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -327,6 +333,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -372,6 +379,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_arctan.Rd b/man/op_arctan.Rd index 8e33a67ce..28fd85b22 100644 --- a/man/op_arctan.Rd +++ b/man/op_arctan.Rd @@ -61,6 +61,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -135,6 +136,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -162,6 +164,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -208,6 +211,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -222,6 +226,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -256,6 +261,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -328,6 +334,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -373,6 +380,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_arctan2.Rd b/man/op_arctan2.Rd index 36ee7c458..493379ce1 100644 --- a/man/op_arctan2.Rd +++ b/man/op_arctan2.Rd @@ -94,6 +94,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -168,6 +169,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -195,6 +197,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -241,6 +244,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -255,6 +259,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -289,6 +294,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -361,6 +367,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -406,6 +413,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_arctanh.Rd b/man/op_arctanh.Rd index ba77b0044..fd64ee260 100644 --- a/man/op_arctanh.Rd +++ b/man/op_arctanh.Rd @@ -50,6 +50,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -124,6 +125,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -151,6 +153,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -197,6 +200,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -211,6 +215,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -245,6 +250,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -317,6 +323,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -362,6 +369,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_argmax.Rd b/man/op_argmax.Rd index 4194f6fe2..23b7b518c 100644 --- a/man/op_argmax.Rd +++ b/man/op_argmax.Rd @@ -4,13 +4,16 @@ \alias{op_argmax} \title{Returns the indices of the maximum values along an axis.} \usage{ -op_argmax(x, axis = NULL) +op_argmax(x, axis = NULL, keepdims = FALSE) } \arguments{ \item{x}{Input tensor.} \item{axis}{By default, the index is into the flattened tensor, otherwise along the specified axis.} + +\item{keepdims}{If this is set to \code{TRUE}, the axes which are reduced are left +in the result as dimensions with size one. Defaults to \code{FALSE}.} } \value{ Tensor of indices. It has the same shape as \code{x}, with the dimension @@ -92,6 +95,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -166,6 +170,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -193,6 +198,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -239,6 +245,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -253,6 +260,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -287,6 +295,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -359,6 +368,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -404,6 +414,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_argmin.Rd b/man/op_argmin.Rd index 86eea3db6..9ac9f9f0a 100644 --- a/man/op_argmin.Rd +++ b/man/op_argmin.Rd @@ -4,13 +4,16 @@ \alias{op_argmin} \title{Returns the indices of the minimum values along an axis.} \usage{ -op_argmin(x, axis = NULL) +op_argmin(x, axis = NULL, keepdims = FALSE) } \arguments{ \item{x}{Input tensor.} \item{axis}{By default, the index is into the flattened tensor, otherwise along the specified axis.} + +\item{keepdims}{If this is set to \code{TRUE}, the axes which are reduced are left +in the result as dimensions with size one. Defaults to \code{FALSE}.} } \value{ Tensor of indices. It has the same shape as \code{x}, with the dimension @@ -91,6 +94,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -165,6 +169,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -192,6 +197,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -238,6 +244,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -252,6 +259,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -286,6 +294,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -358,6 +367,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -403,6 +413,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_argsort.Rd b/man/op_argsort.Rd index c687e7975..bf03c0d97 100644 --- a/man/op_argsort.Rd +++ b/man/op_argsort.Rd @@ -90,6 +90,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -164,6 +165,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -191,6 +193,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -237,6 +240,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -251,6 +255,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -285,6 +290,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -357,6 +363,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -402,6 +409,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_array.Rd b/man/op_array.Rd index 245cf6000..7e58af4be 100644 --- a/man/op_array.Rd +++ b/man/op_array.Rd @@ -75,6 +75,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -149,6 +150,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -176,6 +178,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -222,6 +225,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -236,6 +240,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -270,6 +275,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -342,6 +348,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -387,6 +394,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_average.Rd b/man/op_average.Rd index 1a88264cf..70ea12f7a 100644 --- a/man/op_average.Rd +++ b/man/op_average.Rd @@ -77,16 +77,15 @@ data }\if{html}{\out{
}} -\if{html}{\out{
}}\preformatted{# Error: Axis must be specified when shapes of a and weights differ. +\if{html}{\out{
}}\preformatted{# Error: Axis must be specified when shapes of x and weights differ. try(op_average( data, weights = op_array(c(1/4, 3/4)) )) }\if{html}{\out{
}} -\if{html}{\out{
}}\preformatted{## Error in py_call_impl(callable, call_args$unnamed, call_args$named) : -## tensorflow.python.framework.errors_impl.InvalidArgumentError: Expected 'tf.Tensor(False, shape=(), dtype=bool)' to be true. Summarized data: 3, 2 -## 2 +\if{html}{\out{
}}\preformatted{## Error in op_average(data, weights = op_array(c(1/4, 3/4))) : +## Axis must be specified when shapes of x and weights differ. }\if{html}{\out{
}} } @@ -126,6 +125,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -200,6 +200,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -227,6 +228,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -273,6 +275,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -287,6 +290,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -321,6 +325,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -393,6 +398,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -438,6 +444,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_average_pool.Rd b/man/op_average_pool.Rd index efe5dc145..d02a3dc95 100644 --- a/man/op_average_pool.Rd +++ b/man/op_average_pool.Rd @@ -126,6 +126,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -140,6 +141,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -174,6 +176,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -246,6 +249,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -291,6 +295,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_batch_normalization.Rd b/man/op_batch_normalization.Rd index e7bd6f2a9..0834e56ed 100644 --- a/man/op_batch_normalization.Rd +++ b/man/op_batch_normalization.Rd @@ -140,6 +140,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -154,6 +155,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -188,6 +190,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -260,6 +263,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -305,6 +309,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_binary_crossentropy.Rd b/man/op_binary_crossentropy.Rd index d127922a4..67975ba61 100644 --- a/man/op_binary_crossentropy.Rd +++ b/man/op_binary_crossentropy.Rd @@ -118,6 +118,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -132,6 +133,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -166,6 +168,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -238,6 +241,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -283,6 +287,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_bincount.Rd b/man/op_bincount.Rd index 094fab8ed..9b2ba8ba1 100644 --- a/man/op_bincount.Rd +++ b/man/op_bincount.Rd @@ -106,6 +106,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -180,6 +181,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -207,6 +209,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -253,6 +256,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -267,6 +271,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -301,6 +306,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -373,6 +379,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -418,6 +425,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_broadcast_to.Rd b/man/op_broadcast_to.Rd index 5e2a05529..e786b41c5 100644 --- a/man/op_broadcast_to.Rd +++ b/man/op_broadcast_to.Rd @@ -65,6 +65,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -139,6 +140,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -166,6 +168,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -212,6 +215,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -226,6 +230,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -260,6 +265,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -332,6 +338,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -377,6 +384,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_cast.Rd b/man/op_cast.Rd index 3dec81aff..204b8ffae 100644 --- a/man/op_cast.Rd +++ b/man/op_cast.Rd @@ -96,6 +96,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -110,6 +111,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -144,6 +146,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -216,6 +219,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -261,6 +265,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_categorical_crossentropy.Rd b/man/op_categorical_crossentropy.Rd index 68acf30e8..fcdba46d0 100644 --- a/man/op_categorical_crossentropy.Rd +++ b/man/op_categorical_crossentropy.Rd @@ -128,6 +128,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -142,6 +143,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -176,6 +178,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -248,6 +251,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -293,6 +297,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_ceil.Rd b/man/op_ceil.Rd index d5bae9a50..170da71c7 100644 --- a/man/op_ceil.Rd +++ b/man/op_ceil.Rd @@ -51,6 +51,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -125,6 +126,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -152,6 +154,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -198,6 +201,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -212,6 +216,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -246,6 +251,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -318,6 +324,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -363,6 +370,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_cholesky.Rd b/man/op_cholesky.Rd index 4aff8fe96..4a4846e77 100644 --- a/man/op_cholesky.Rd +++ b/man/op_cholesky.Rd @@ -20,6 +20,7 @@ Computes the Cholesky decomposition of a positive semi-definite matrix. Other linear algebra ops: \cr \code{\link{op_det}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_lu_factor}()} \cr \code{\link{op_norm}()} \cr @@ -67,6 +68,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -81,6 +83,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -115,6 +118,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -187,6 +191,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -232,6 +237,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_clip.Rd b/man/op_clip.Rd index dfda3ae68..84267f1aa 100644 --- a/man/op_clip.Rd +++ b/man/op_clip.Rd @@ -56,6 +56,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -130,6 +131,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -157,6 +159,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -203,6 +206,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -217,6 +221,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -251,6 +256,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -323,6 +329,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -368,6 +375,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_concatenate.Rd b/man/op_concatenate.Rd index 044482b56..d1f8d60e2 100644 --- a/man/op_concatenate.Rd +++ b/man/op_concatenate.Rd @@ -52,6 +52,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -126,6 +127,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -153,6 +155,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -199,6 +202,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -213,6 +217,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -247,6 +252,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -319,6 +325,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -364,6 +371,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_cond.Rd b/man/op_cond.Rd index b740e3681..ca7cbec59 100644 --- a/man/op_cond.Rd +++ b/man/op_cond.Rd @@ -138,6 +138,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -152,6 +153,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -186,6 +188,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -258,6 +261,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -303,6 +307,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_conj.Rd b/man/op_conj.Rd index 5cbce8898..1ad005724 100644 --- a/man/op_conj.Rd +++ b/man/op_conj.Rd @@ -51,6 +51,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -125,6 +126,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -152,6 +154,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -198,6 +201,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -212,6 +216,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -246,6 +251,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -318,6 +324,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -363,6 +370,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_conv.Rd b/man/op_conv.Rd index 9d91e3a26..78611a514 100644 --- a/man/op_conv.Rd +++ b/man/op_conv.Rd @@ -130,6 +130,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -144,6 +145,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -178,6 +180,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -250,6 +253,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -295,6 +299,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_conv_transpose.Rd b/man/op_conv_transpose.Rd index 009016c7e..f0db48479 100644 --- a/man/op_conv_transpose.Rd +++ b/man/op_conv_transpose.Rd @@ -139,6 +139,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -153,6 +154,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -187,6 +189,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -259,6 +262,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -304,6 +308,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_convert_to_numpy.Rd b/man/op_convert_to_numpy.Rd index 351e57ed6..c03bc9412 100644 --- a/man/op_convert_to_numpy.Rd +++ b/man/op_convert_to_numpy.Rd @@ -78,6 +78,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -92,6 +93,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -126,6 +128,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -198,6 +201,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -243,6 +247,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_convert_to_tensor.Rd b/man/op_convert_to_tensor.Rd index f8c11240d..56b390062 100644 --- a/man/op_convert_to_tensor.Rd +++ b/man/op_convert_to_tensor.Rd @@ -103,6 +103,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -117,6 +118,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -151,6 +153,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -223,6 +226,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -268,6 +272,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_copy.Rd b/man/op_copy.Rd index 2a09dc062..48709ddac 100644 --- a/man/op_copy.Rd +++ b/man/op_copy.Rd @@ -50,6 +50,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -124,6 +125,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -151,6 +153,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -197,6 +200,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -211,6 +215,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -245,6 +250,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -317,6 +323,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -362,6 +369,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_correlate.Rd b/man/op_correlate.Rd index bd3b5f79d..304d5d5ba 100644 --- a/man/op_correlate.Rd +++ b/man/op_correlate.Rd @@ -55,6 +55,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -129,6 +130,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -156,6 +158,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -202,6 +205,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -216,6 +220,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -250,6 +255,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -322,6 +328,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -367,6 +374,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_cos.Rd b/man/op_cos.Rd index dca32a979..df790f8f8 100644 --- a/man/op_cos.Rd +++ b/man/op_cos.Rd @@ -50,6 +50,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -124,6 +125,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -151,6 +153,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -197,6 +200,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -211,6 +215,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -245,6 +250,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -317,6 +323,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -362,6 +369,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_cosh.Rd b/man/op_cosh.Rd index c634f734a..1e8926cd7 100644 --- a/man/op_cosh.Rd +++ b/man/op_cosh.Rd @@ -50,6 +50,7 @@ Other numpy ops: \cr \code{\link{op_cos}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -124,6 +125,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -151,6 +153,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -197,6 +200,7 @@ Other ops: \cr \code{\link{op_cos}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -211,6 +215,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -245,6 +250,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -317,6 +323,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -362,6 +369,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_count_nonzero.Rd b/man/op_count_nonzero.Rd index f4f08fe6a..a1b86f44a 100644 --- a/man/op_count_nonzero.Rd +++ b/man/op_count_nonzero.Rd @@ -78,6 +78,7 @@ Other numpy ops: \cr \code{\link{op_cos}()} \cr \code{\link{op_cosh}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -152,6 +153,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -179,6 +181,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -225,6 +228,7 @@ Other ops: \cr \code{\link{op_cos}()} \cr \code{\link{op_cosh}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -239,6 +243,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -273,6 +278,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -345,6 +351,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -390,6 +397,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_cross.Rd b/man/op_cross.Rd index 9e4619e54..c630b28e0 100644 --- a/man/op_cross.Rd +++ b/man/op_cross.Rd @@ -79,6 +79,7 @@ Other numpy ops: \cr \code{\link{op_cos}()} \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -153,6 +154,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -180,6 +182,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -226,6 +229,7 @@ Other ops: \cr \code{\link{op_cos}()} \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -240,6 +244,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -274,6 +279,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -346,6 +352,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -391,6 +398,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_ctc_decode.Rd b/man/op_ctc_decode.Rd new file mode 100644 index 000000000..d1408c1dc --- /dev/null +++ b/man/op_ctc_decode.Rd @@ -0,0 +1,410 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/ops.R +\name{op_ctc_decode} +\alias{op_ctc_decode} +\title{Decodes the output of a CTC model.} +\usage{ +op_ctc_decode( + inputs, + sequence_lengths, + strategy, + beam_width = 100L, + top_paths = 1L, + merge_repeated = TRUE, + mask_index = NULL +) +} +\arguments{ +\item{inputs}{A tensor of shape \verb{(batch_size, max_length, num_classes)} +containing the logits (output of the model).} + +\item{sequence_lengths}{A tensor of shape \code{(batch_size)} containing the +sequence lengths for the batch.} + +\item{strategy}{A string for the decoding strategy. Supported values are +\code{"greedy"} and \code{"beam_search"}.} + +\item{beam_width}{An integer scalar beam width used in beam search. +Defaults to \code{100}.} + +\item{top_paths}{An integer scalar, the number of top paths to return. +Defaults to \code{1}.} + +\item{merge_repeated}{A boolean scalar, whether to merge repeated +labels in the output. Defaults to \code{TRUE}.} + +\item{mask_index}{An integer scalar, the index of the mask character in +the vocabulary. Defaults to \code{NULL}.} +} +\value{ +A list containing: +\itemize{ +\item A list of decoded sequences. +\item A list of the negative of the sum of the probability logits +(if strategy is \code{"greedy"}) or the log probability (if strategy is +\code{"beam_search"}) for each sequence. +} +} +\description{ +Decodes the output of a CTC model. +} +\seealso{ +Other numpy ops: \cr +\code{\link{op_abs}()} \cr +\code{\link{op_add}()} \cr +\code{\link{op_all}()} \cr +\code{\link{op_any}()} \cr +\code{\link{op_append}()} \cr +\code{\link{op_arange}()} \cr +\code{\link{op_arccos}()} \cr +\code{\link{op_arccosh}()} \cr +\code{\link{op_arcsin}()} \cr +\code{\link{op_arcsinh}()} \cr +\code{\link{op_arctan}()} \cr +\code{\link{op_arctan2}()} \cr +\code{\link{op_arctanh}()} \cr +\code{\link{op_argmax}()} \cr +\code{\link{op_argmin}()} \cr +\code{\link{op_argsort}()} \cr +\code{\link{op_array}()} \cr +\code{\link{op_average}()} \cr +\code{\link{op_bincount}()} \cr +\code{\link{op_broadcast_to}()} \cr +\code{\link{op_ceil}()} \cr +\code{\link{op_clip}()} \cr +\code{\link{op_concatenate}()} \cr +\code{\link{op_conj}()} \cr +\code{\link{op_copy}()} \cr +\code{\link{op_correlate}()} \cr +\code{\link{op_cos}()} \cr +\code{\link{op_cosh}()} \cr +\code{\link{op_count_nonzero}()} \cr +\code{\link{op_cross}()} \cr +\code{\link{op_cumprod}()} \cr +\code{\link{op_cumsum}()} \cr +\code{\link{op_diag}()} \cr +\code{\link{op_diagonal}()} \cr +\code{\link{op_diff}()} \cr +\code{\link{op_digitize}()} \cr +\code{\link{op_divide}()} \cr +\code{\link{op_divide_no_nan}()} \cr +\code{\link{op_dot}()} \cr +\code{\link{op_einsum}()} \cr +\code{\link{op_empty}()} \cr +\code{\link{op_equal}()} \cr +\code{\link{op_exp}()} \cr +\code{\link{op_expand_dims}()} \cr +\code{\link{op_expm1}()} \cr +\code{\link{op_eye}()} \cr +\code{\link{op_flip}()} \cr +\code{\link{op_floor}()} \cr +\code{\link{op_floor_divide}()} \cr +\code{\link{op_full}()} \cr +\code{\link{op_full_like}()} \cr +\code{\link{op_get_item}()} \cr +\code{\link{op_greater}()} \cr +\code{\link{op_greater_equal}()} \cr +\code{\link{op_hstack}()} \cr +\code{\link{op_identity}()} \cr +\code{\link{op_imag}()} \cr +\code{\link{op_isclose}()} \cr +\code{\link{op_isfinite}()} \cr +\code{\link{op_isinf}()} \cr +\code{\link{op_isnan}()} \cr +\code{\link{op_less}()} \cr +\code{\link{op_less_equal}()} \cr +\code{\link{op_linspace}()} \cr +\code{\link{op_log}()} \cr +\code{\link{op_log10}()} \cr +\code{\link{op_log1p}()} \cr +\code{\link{op_log2}()} \cr +\code{\link{op_logaddexp}()} \cr +\code{\link{op_logical_and}()} \cr +\code{\link{op_logical_not}()} \cr +\code{\link{op_logical_or}()} \cr +\code{\link{op_logical_xor}()} \cr +\code{\link{op_logspace}()} \cr +\code{\link{op_matmul}()} \cr +\code{\link{op_max}()} \cr +\code{\link{op_maximum}()} \cr +\code{\link{op_mean}()} \cr +\code{\link{op_median}()} \cr +\code{\link{op_meshgrid}()} \cr +\code{\link{op_min}()} \cr +\code{\link{op_minimum}()} \cr +\code{\link{op_mod}()} \cr +\code{\link{op_moveaxis}()} \cr +\code{\link{op_multiply}()} \cr +\code{\link{op_nan_to_num}()} \cr +\code{\link{op_ndim}()} \cr +\code{\link{op_negative}()} \cr +\code{\link{op_nonzero}()} \cr +\code{\link{op_not_equal}()} \cr +\code{\link{op_ones}()} \cr +\code{\link{op_ones_like}()} \cr +\code{\link{op_outer}()} \cr +\code{\link{op_pad}()} \cr +\code{\link{op_power}()} \cr +\code{\link{op_prod}()} \cr +\code{\link{op_quantile}()} \cr +\code{\link{op_ravel}()} \cr +\code{\link{op_real}()} \cr +\code{\link{op_reciprocal}()} \cr +\code{\link{op_repeat}()} \cr +\code{\link{op_reshape}()} \cr +\code{\link{op_roll}()} \cr +\code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr +\code{\link{op_sign}()} \cr +\code{\link{op_sin}()} \cr +\code{\link{op_sinh}()} \cr +\code{\link{op_size}()} \cr +\code{\link{op_sort}()} \cr +\code{\link{op_split}()} \cr +\code{\link{op_sqrt}()} \cr +\code{\link{op_square}()} \cr +\code{\link{op_squeeze}()} \cr +\code{\link{op_stack}()} \cr +\code{\link{op_std}()} \cr +\code{\link{op_subtract}()} \cr +\code{\link{op_sum}()} \cr +\code{\link{op_swapaxes}()} \cr +\code{\link{op_take}()} \cr +\code{\link{op_take_along_axis}()} \cr +\code{\link{op_tan}()} \cr +\code{\link{op_tanh}()} \cr +\code{\link{op_tensordot}()} \cr +\code{\link{op_tile}()} \cr +\code{\link{op_trace}()} \cr +\code{\link{op_transpose}()} \cr +\code{\link{op_tri}()} \cr +\code{\link{op_tril}()} \cr +\code{\link{op_triu}()} \cr +\code{\link{op_var}()} \cr +\code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr +\code{\link{op_vstack}()} \cr +\code{\link{op_where}()} \cr +\code{\link{op_zeros}()} \cr +\code{\link{op_zeros_like}()} \cr + +Other ops: \cr +\code{\link{op_abs}()} \cr +\code{\link{op_add}()} \cr +\code{\link{op_all}()} \cr +\code{\link{op_any}()} \cr +\code{\link{op_append}()} \cr +\code{\link{op_arange}()} \cr +\code{\link{op_arccos}()} \cr +\code{\link{op_arccosh}()} \cr +\code{\link{op_arcsin}()} \cr +\code{\link{op_arcsinh}()} \cr +\code{\link{op_arctan}()} \cr +\code{\link{op_arctan2}()} \cr +\code{\link{op_arctanh}()} \cr +\code{\link{op_argmax}()} \cr +\code{\link{op_argmin}()} \cr +\code{\link{op_argsort}()} \cr +\code{\link{op_array}()} \cr +\code{\link{op_average}()} \cr +\code{\link{op_average_pool}()} \cr +\code{\link{op_batch_normalization}()} \cr +\code{\link{op_binary_crossentropy}()} \cr +\code{\link{op_bincount}()} \cr +\code{\link{op_broadcast_to}()} \cr +\code{\link{op_cast}()} \cr +\code{\link{op_categorical_crossentropy}()} \cr +\code{\link{op_ceil}()} \cr +\code{\link{op_cholesky}()} \cr +\code{\link{op_clip}()} \cr +\code{\link{op_concatenate}()} \cr +\code{\link{op_cond}()} \cr +\code{\link{op_conj}()} \cr +\code{\link{op_conv}()} \cr +\code{\link{op_conv_transpose}()} \cr +\code{\link{op_convert_to_numpy}()} \cr +\code{\link{op_convert_to_tensor}()} \cr +\code{\link{op_copy}()} \cr +\code{\link{op_correlate}()} \cr +\code{\link{op_cos}()} \cr +\code{\link{op_cosh}()} \cr +\code{\link{op_count_nonzero}()} \cr +\code{\link{op_cross}()} \cr +\code{\link{op_ctc_loss}()} \cr +\code{\link{op_cumprod}()} \cr +\code{\link{op_cumsum}()} \cr +\code{\link{op_custom_gradient}()} \cr +\code{\link{op_depthwise_conv}()} \cr +\code{\link{op_det}()} \cr +\code{\link{op_diag}()} \cr +\code{\link{op_diagonal}()} \cr +\code{\link{op_diff}()} \cr +\code{\link{op_digitize}()} \cr +\code{\link{op_divide}()} \cr +\code{\link{op_divide_no_nan}()} \cr +\code{\link{op_dot}()} \cr +\code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr +\code{\link{op_einsum}()} \cr +\code{\link{op_elu}()} \cr +\code{\link{op_empty}()} \cr +\code{\link{op_equal}()} \cr +\code{\link{op_erf}()} \cr +\code{\link{op_erfinv}()} \cr +\code{\link{op_exp}()} \cr +\code{\link{op_expand_dims}()} \cr +\code{\link{op_expm1}()} \cr +\code{\link{op_extract_sequences}()} \cr +\code{\link{op_eye}()} \cr +\code{\link{op_fft}()} \cr +\code{\link{op_fft2}()} \cr +\code{\link{op_flip}()} \cr +\code{\link{op_floor}()} \cr +\code{\link{op_floor_divide}()} \cr +\code{\link{op_fori_loop}()} \cr +\code{\link{op_full}()} \cr +\code{\link{op_full_like}()} \cr +\code{\link{op_gelu}()} \cr +\code{\link{op_get_item}()} \cr +\code{\link{op_greater}()} \cr +\code{\link{op_greater_equal}()} \cr +\code{\link{op_hard_sigmoid}()} \cr +\code{\link{op_hard_silu}()} \cr +\code{\link{op_hstack}()} \cr +\code{\link{op_identity}()} \cr +\code{\link{op_imag}()} \cr +\code{\link{op_image_affine_transform}()} \cr +\code{\link{op_image_crop}()} \cr +\code{\link{op_image_extract_patches}()} \cr +\code{\link{op_image_map_coordinates}()} \cr +\code{\link{op_image_pad}()} \cr +\code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr +\code{\link{op_in_top_k}()} \cr +\code{\link{op_inv}()} \cr +\code{\link{op_irfft}()} \cr +\code{\link{op_is_tensor}()} \cr +\code{\link{op_isclose}()} \cr +\code{\link{op_isfinite}()} \cr +\code{\link{op_isinf}()} \cr +\code{\link{op_isnan}()} \cr +\code{\link{op_istft}()} \cr +\code{\link{op_leaky_relu}()} \cr +\code{\link{op_less}()} \cr +\code{\link{op_less_equal}()} \cr +\code{\link{op_linspace}()} \cr +\code{\link{op_log}()} \cr +\code{\link{op_log10}()} \cr +\code{\link{op_log1p}()} \cr +\code{\link{op_log2}()} \cr +\code{\link{op_log_sigmoid}()} \cr +\code{\link{op_log_softmax}()} \cr +\code{\link{op_logaddexp}()} \cr +\code{\link{op_logical_and}()} \cr +\code{\link{op_logical_not}()} \cr +\code{\link{op_logical_or}()} \cr +\code{\link{op_logical_xor}()} \cr +\code{\link{op_logspace}()} \cr +\code{\link{op_logsumexp}()} \cr +\code{\link{op_lu_factor}()} \cr +\code{\link{op_matmul}()} \cr +\code{\link{op_max}()} \cr +\code{\link{op_max_pool}()} \cr +\code{\link{op_maximum}()} \cr +\code{\link{op_mean}()} \cr +\code{\link{op_median}()} \cr +\code{\link{op_meshgrid}()} \cr +\code{\link{op_min}()} \cr +\code{\link{op_minimum}()} \cr +\code{\link{op_mod}()} \cr +\code{\link{op_moments}()} \cr +\code{\link{op_moveaxis}()} \cr +\code{\link{op_multi_hot}()} \cr +\code{\link{op_multiply}()} \cr +\code{\link{op_nan_to_num}()} \cr +\code{\link{op_ndim}()} \cr +\code{\link{op_negative}()} \cr +\code{\link{op_nonzero}()} \cr +\code{\link{op_norm}()} \cr +\code{\link{op_normalize}()} \cr +\code{\link{op_not_equal}()} \cr +\code{\link{op_one_hot}()} \cr +\code{\link{op_ones}()} \cr +\code{\link{op_ones_like}()} \cr +\code{\link{op_outer}()} \cr +\code{\link{op_pad}()} \cr +\code{\link{op_power}()} \cr +\code{\link{op_prod}()} \cr +\code{\link{op_qr}()} \cr +\code{\link{op_quantile}()} \cr +\code{\link{op_ravel}()} \cr +\code{\link{op_real}()} \cr +\code{\link{op_reciprocal}()} \cr +\code{\link{op_relu}()} \cr +\code{\link{op_relu6}()} \cr +\code{\link{op_repeat}()} \cr +\code{\link{op_reshape}()} \cr +\code{\link{op_rfft}()} \cr +\code{\link{op_roll}()} \cr +\code{\link{op_round}()} \cr +\code{\link{op_rsqrt}()} \cr +\code{\link{op_scatter}()} \cr +\code{\link{op_scatter_update}()} \cr +\code{\link{op_segment_max}()} \cr +\code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr +\code{\link{op_selu}()} \cr +\code{\link{op_separable_conv}()} \cr +\code{\link{op_shape}()} \cr +\code{\link{op_sigmoid}()} \cr +\code{\link{op_sign}()} \cr +\code{\link{op_silu}()} \cr +\code{\link{op_sin}()} \cr +\code{\link{op_sinh}()} \cr +\code{\link{op_size}()} \cr +\code{\link{op_slice}()} \cr +\code{\link{op_slice_update}()} \cr +\code{\link{op_softmax}()} \cr +\code{\link{op_softplus}()} \cr +\code{\link{op_softsign}()} \cr +\code{\link{op_solve}()} \cr +\code{\link{op_solve_triangular}()} \cr +\code{\link{op_sort}()} \cr +\code{\link{op_sparse_categorical_crossentropy}()} \cr +\code{\link{op_split}()} \cr +\code{\link{op_sqrt}()} \cr +\code{\link{op_square}()} \cr +\code{\link{op_squeeze}()} \cr +\code{\link{op_stack}()} \cr +\code{\link{op_std}()} \cr +\code{\link{op_stft}()} \cr +\code{\link{op_stop_gradient}()} \cr +\code{\link{op_subtract}()} \cr +\code{\link{op_sum}()} \cr +\code{\link{op_svd}()} \cr +\code{\link{op_swapaxes}()} \cr +\code{\link{op_take}()} \cr +\code{\link{op_take_along_axis}()} \cr +\code{\link{op_tan}()} \cr +\code{\link{op_tanh}()} \cr +\code{\link{op_tensordot}()} \cr +\code{\link{op_tile}()} \cr +\code{\link{op_top_k}()} \cr +\code{\link{op_trace}()} \cr +\code{\link{op_transpose}()} \cr +\code{\link{op_tri}()} \cr +\code{\link{op_tril}()} \cr +\code{\link{op_triu}()} \cr +\code{\link{op_unstack}()} \cr +\code{\link{op_var}()} \cr +\code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr +\code{\link{op_vectorized_map}()} \cr +\code{\link{op_vstack}()} \cr +\code{\link{op_where}()} \cr +\code{\link{op_while_loop}()} \cr +\code{\link{op_zeros}()} \cr +\code{\link{op_zeros_like}()} \cr +} +\concept{numpy ops} +\concept{ops} diff --git a/man/op_ctc_loss.Rd b/man/op_ctc_loss.Rd index fbe26ddb9..2a13d9f18 100644 --- a/man/op_ctc_loss.Rd +++ b/man/op_ctc_loss.Rd @@ -102,6 +102,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_custom_gradient}()} \cr @@ -115,6 +116,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -149,6 +151,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -221,6 +224,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -266,6 +270,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_cumprod.Rd b/man/op_cumprod.Rd index 61b5dd89d..1828b56ab 100644 --- a/man/op_cumprod.Rd +++ b/man/op_cumprod.Rd @@ -56,6 +56,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr \code{\link{op_diagonal}()} \cr @@ -129,6 +130,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -156,6 +158,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -203,6 +206,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_custom_gradient}()} \cr @@ -216,6 +220,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -250,6 +255,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -322,6 +328,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -367,6 +374,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_cumsum.Rd b/man/op_cumsum.Rd index 6367aac25..f6d5a0ac6 100644 --- a/man/op_cumsum.Rd +++ b/man/op_cumsum.Rd @@ -56,6 +56,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_diag}()} \cr \code{\link{op_diagonal}()} \cr @@ -129,6 +130,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -156,6 +158,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -203,6 +206,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_custom_gradient}()} \cr @@ -216,6 +220,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -250,6 +255,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -322,6 +328,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -367,6 +374,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_custom_gradient.Rd b/man/op_custom_gradient.Rd index 2181b0b00..707ed7067 100644 --- a/man/op_custom_gradient.Rd +++ b/man/op_custom_gradient.Rd @@ -138,6 +138,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -151,6 +152,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -185,6 +187,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -257,6 +260,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -302,6 +306,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_depthwise_conv.Rd b/man/op_depthwise_conv.Rd index 7c09ec77a..bb57ba1fc 100644 --- a/man/op_depthwise_conv.Rd +++ b/man/op_depthwise_conv.Rd @@ -131,6 +131,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -144,6 +145,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -178,6 +180,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -250,6 +253,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -295,6 +299,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_det.Rd b/man/op_det.Rd index b4d485d74..eb60a0edc 100644 --- a/man/op_det.Rd +++ b/man/op_det.Rd @@ -19,6 +19,7 @@ Computes the determinant of a square tensor. Other linear algebra ops: \cr \code{\link{op_cholesky}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_lu_factor}()} \cr \code{\link{op_norm}()} \cr @@ -67,6 +68,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -80,6 +82,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -114,6 +117,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -186,6 +190,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -231,6 +236,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_diag.Rd b/man/op_diag.Rd index 1f2ebade6..6522ddf90 100644 --- a/man/op_diag.Rd +++ b/man/op_diag.Rd @@ -100,6 +100,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diagonal}()} \cr @@ -173,6 +174,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -200,6 +202,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -247,6 +250,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -260,6 +264,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -294,6 +299,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -366,6 +372,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -411,6 +418,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_diagonal.Rd b/man/op_diagonal.Rd index fff2c68d0..9b2e22580 100644 --- a/man/op_diagonal.Rd +++ b/man/op_diagonal.Rd @@ -135,6 +135,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -208,6 +209,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -235,6 +237,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -282,6 +285,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -295,6 +299,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -329,6 +334,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -401,6 +407,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -446,6 +453,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_diff.Rd b/man/op_diff.Rd index fd107364c..fe98012f6 100644 --- a/man/op_diff.Rd +++ b/man/op_diff.Rd @@ -89,6 +89,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -162,6 +163,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -189,6 +191,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -236,6 +239,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -249,6 +253,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -283,6 +288,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -355,6 +361,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -400,6 +407,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_digitize.Rd b/man/op_digitize.Rd index 2235fdad5..d86012923 100644 --- a/man/op_digitize.Rd +++ b/man/op_digitize.Rd @@ -68,6 +68,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -141,6 +142,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -168,6 +170,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -215,6 +218,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -228,6 +232,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -262,6 +267,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -334,6 +340,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -379,6 +386,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_divide.Rd b/man/op_divide.Rd index 0af8235d7..6c3e3b171 100644 --- a/man/op_divide.Rd +++ b/man/op_divide.Rd @@ -83,6 +83,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -156,6 +157,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -183,6 +185,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -230,6 +233,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -243,6 +247,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -277,6 +282,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -349,6 +355,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -394,6 +401,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_divide_no_nan.Rd b/man/op_divide_no_nan.Rd index 4f1d747f7..eacf3df5c 100644 --- a/man/op_divide_no_nan.Rd +++ b/man/op_divide_no_nan.Rd @@ -49,6 +49,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -122,6 +123,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -149,6 +151,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -196,6 +199,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -209,6 +213,7 @@ Other ops: \cr \code{\link{op_divide}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -243,6 +248,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -315,6 +321,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -360,6 +367,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_dot.Rd b/man/op_dot.Rd index 3c89a53e3..b1b6554dd 100644 --- a/man/op_dot.Rd +++ b/man/op_dot.Rd @@ -67,6 +67,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -140,6 +141,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -167,6 +169,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -214,6 +217,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -227,6 +231,7 @@ Other ops: \cr \code{\link{op_divide}()} \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -261,6 +266,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -333,6 +339,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -378,6 +385,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_eig.Rd b/man/op_eig.Rd index d3a9f77d6..c24e6ec8c 100644 --- a/man/op_eig.Rd +++ b/man/op_eig.Rd @@ -20,6 +20,7 @@ Computes the eigenvalues and eigenvectors of a square matrix. Other linear algebra ops: \cr \code{\link{op_cholesky}()} \cr \code{\link{op_det}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_lu_factor}()} \cr \code{\link{op_norm}()} \cr @@ -68,6 +69,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -81,6 +83,7 @@ Other ops: \cr \code{\link{op_divide}()} \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -115,6 +118,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -187,6 +191,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -232,6 +237,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_eigh.Rd b/man/op_eigh.Rd new file mode 100644 index 000000000..ed171a506 --- /dev/null +++ b/man/op_eigh.Rd @@ -0,0 +1,249 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/ops-linalg.R +\name{op_eigh} +\alias{op_eigh} +\title{Computes the eigenvalues and eigenvectors of a complex Hermitian.} +\usage{ +op_eigh(x) +} +\arguments{ +\item{x}{Input tensor of shape \verb{(..., M, M)}.} +} +\value{ +A list of two tensors: a tensor of shape \verb{(..., M)} containing +eigenvalues and a tensor of shape \verb{(..., M, M)} containing eigenvectors. +} +\description{ +Computes the eigenvalues and eigenvectors of a complex Hermitian. +} +\seealso{ +Other linear algebra ops: \cr +\code{\link{op_cholesky}()} \cr +\code{\link{op_det}()} \cr +\code{\link{op_eig}()} \cr +\code{\link{op_inv}()} \cr +\code{\link{op_lu_factor}()} \cr +\code{\link{op_norm}()} \cr +\code{\link{op_solve_triangular}()} \cr +\code{\link{op_svd}()} \cr + +Other ops: \cr +\code{\link{op_abs}()} \cr +\code{\link{op_add}()} \cr +\code{\link{op_all}()} \cr +\code{\link{op_any}()} \cr +\code{\link{op_append}()} \cr +\code{\link{op_arange}()} \cr +\code{\link{op_arccos}()} \cr +\code{\link{op_arccosh}()} \cr +\code{\link{op_arcsin}()} \cr +\code{\link{op_arcsinh}()} \cr +\code{\link{op_arctan}()} \cr +\code{\link{op_arctan2}()} \cr +\code{\link{op_arctanh}()} \cr +\code{\link{op_argmax}()} \cr +\code{\link{op_argmin}()} \cr +\code{\link{op_argsort}()} \cr +\code{\link{op_array}()} \cr +\code{\link{op_average}()} \cr +\code{\link{op_average_pool}()} \cr +\code{\link{op_batch_normalization}()} \cr +\code{\link{op_binary_crossentropy}()} \cr +\code{\link{op_bincount}()} \cr +\code{\link{op_broadcast_to}()} \cr +\code{\link{op_cast}()} \cr +\code{\link{op_categorical_crossentropy}()} \cr +\code{\link{op_ceil}()} \cr +\code{\link{op_cholesky}()} \cr +\code{\link{op_clip}()} \cr +\code{\link{op_concatenate}()} \cr +\code{\link{op_cond}()} \cr +\code{\link{op_conj}()} \cr +\code{\link{op_conv}()} \cr +\code{\link{op_conv_transpose}()} \cr +\code{\link{op_convert_to_numpy}()} \cr +\code{\link{op_convert_to_tensor}()} \cr +\code{\link{op_copy}()} \cr +\code{\link{op_correlate}()} \cr +\code{\link{op_cos}()} \cr +\code{\link{op_cosh}()} \cr +\code{\link{op_count_nonzero}()} \cr +\code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr +\code{\link{op_ctc_loss}()} \cr +\code{\link{op_cumprod}()} \cr +\code{\link{op_cumsum}()} \cr +\code{\link{op_custom_gradient}()} \cr +\code{\link{op_depthwise_conv}()} \cr +\code{\link{op_det}()} \cr +\code{\link{op_diag}()} \cr +\code{\link{op_diagonal}()} \cr +\code{\link{op_diff}()} \cr +\code{\link{op_digitize}()} \cr +\code{\link{op_divide}()} \cr +\code{\link{op_divide_no_nan}()} \cr +\code{\link{op_dot}()} \cr +\code{\link{op_eig}()} \cr +\code{\link{op_einsum}()} \cr +\code{\link{op_elu}()} \cr +\code{\link{op_empty}()} \cr +\code{\link{op_equal}()} \cr +\code{\link{op_erf}()} \cr +\code{\link{op_erfinv}()} \cr +\code{\link{op_exp}()} \cr +\code{\link{op_expand_dims}()} \cr +\code{\link{op_expm1}()} \cr +\code{\link{op_extract_sequences}()} \cr +\code{\link{op_eye}()} \cr +\code{\link{op_fft}()} \cr +\code{\link{op_fft2}()} \cr +\code{\link{op_flip}()} \cr +\code{\link{op_floor}()} \cr +\code{\link{op_floor_divide}()} \cr +\code{\link{op_fori_loop}()} \cr +\code{\link{op_full}()} \cr +\code{\link{op_full_like}()} \cr +\code{\link{op_gelu}()} \cr +\code{\link{op_get_item}()} \cr +\code{\link{op_greater}()} \cr +\code{\link{op_greater_equal}()} \cr +\code{\link{op_hard_sigmoid}()} \cr +\code{\link{op_hard_silu}()} \cr +\code{\link{op_hstack}()} \cr +\code{\link{op_identity}()} \cr +\code{\link{op_imag}()} \cr +\code{\link{op_image_affine_transform}()} \cr +\code{\link{op_image_crop}()} \cr +\code{\link{op_image_extract_patches}()} \cr +\code{\link{op_image_map_coordinates}()} \cr +\code{\link{op_image_pad}()} \cr +\code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr +\code{\link{op_in_top_k}()} \cr +\code{\link{op_inv}()} \cr +\code{\link{op_irfft}()} \cr +\code{\link{op_is_tensor}()} \cr +\code{\link{op_isclose}()} \cr +\code{\link{op_isfinite}()} \cr +\code{\link{op_isinf}()} \cr +\code{\link{op_isnan}()} \cr +\code{\link{op_istft}()} \cr +\code{\link{op_leaky_relu}()} \cr +\code{\link{op_less}()} \cr +\code{\link{op_less_equal}()} \cr +\code{\link{op_linspace}()} \cr +\code{\link{op_log}()} \cr +\code{\link{op_log10}()} \cr +\code{\link{op_log1p}()} \cr +\code{\link{op_log2}()} \cr +\code{\link{op_log_sigmoid}()} \cr +\code{\link{op_log_softmax}()} \cr +\code{\link{op_logaddexp}()} \cr +\code{\link{op_logical_and}()} \cr +\code{\link{op_logical_not}()} \cr +\code{\link{op_logical_or}()} \cr +\code{\link{op_logical_xor}()} \cr +\code{\link{op_logspace}()} \cr +\code{\link{op_logsumexp}()} \cr +\code{\link{op_lu_factor}()} \cr +\code{\link{op_matmul}()} \cr +\code{\link{op_max}()} \cr +\code{\link{op_max_pool}()} \cr +\code{\link{op_maximum}()} \cr +\code{\link{op_mean}()} \cr +\code{\link{op_median}()} \cr +\code{\link{op_meshgrid}()} \cr +\code{\link{op_min}()} \cr +\code{\link{op_minimum}()} \cr +\code{\link{op_mod}()} \cr +\code{\link{op_moments}()} \cr +\code{\link{op_moveaxis}()} \cr +\code{\link{op_multi_hot}()} \cr +\code{\link{op_multiply}()} \cr +\code{\link{op_nan_to_num}()} \cr +\code{\link{op_ndim}()} \cr +\code{\link{op_negative}()} \cr +\code{\link{op_nonzero}()} \cr +\code{\link{op_norm}()} \cr +\code{\link{op_normalize}()} \cr +\code{\link{op_not_equal}()} \cr +\code{\link{op_one_hot}()} \cr +\code{\link{op_ones}()} \cr +\code{\link{op_ones_like}()} \cr +\code{\link{op_outer}()} \cr +\code{\link{op_pad}()} \cr +\code{\link{op_power}()} \cr +\code{\link{op_prod}()} \cr +\code{\link{op_qr}()} \cr +\code{\link{op_quantile}()} \cr +\code{\link{op_ravel}()} \cr +\code{\link{op_real}()} \cr +\code{\link{op_reciprocal}()} \cr +\code{\link{op_relu}()} \cr +\code{\link{op_relu6}()} \cr +\code{\link{op_repeat}()} \cr +\code{\link{op_reshape}()} \cr +\code{\link{op_rfft}()} \cr +\code{\link{op_roll}()} \cr +\code{\link{op_round}()} \cr +\code{\link{op_rsqrt}()} \cr +\code{\link{op_scatter}()} \cr +\code{\link{op_scatter_update}()} \cr +\code{\link{op_segment_max}()} \cr +\code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr +\code{\link{op_selu}()} \cr +\code{\link{op_separable_conv}()} \cr +\code{\link{op_shape}()} \cr +\code{\link{op_sigmoid}()} \cr +\code{\link{op_sign}()} \cr +\code{\link{op_silu}()} \cr +\code{\link{op_sin}()} \cr +\code{\link{op_sinh}()} \cr +\code{\link{op_size}()} \cr +\code{\link{op_slice}()} \cr +\code{\link{op_slice_update}()} \cr +\code{\link{op_softmax}()} \cr +\code{\link{op_softplus}()} \cr +\code{\link{op_softsign}()} \cr +\code{\link{op_solve}()} \cr +\code{\link{op_solve_triangular}()} \cr +\code{\link{op_sort}()} \cr +\code{\link{op_sparse_categorical_crossentropy}()} \cr +\code{\link{op_split}()} \cr +\code{\link{op_sqrt}()} \cr +\code{\link{op_square}()} \cr +\code{\link{op_squeeze}()} \cr +\code{\link{op_stack}()} \cr +\code{\link{op_std}()} \cr +\code{\link{op_stft}()} \cr +\code{\link{op_stop_gradient}()} \cr +\code{\link{op_subtract}()} \cr +\code{\link{op_sum}()} \cr +\code{\link{op_svd}()} \cr +\code{\link{op_swapaxes}()} \cr +\code{\link{op_take}()} \cr +\code{\link{op_take_along_axis}()} \cr +\code{\link{op_tan}()} \cr +\code{\link{op_tanh}()} \cr +\code{\link{op_tensordot}()} \cr +\code{\link{op_tile}()} \cr +\code{\link{op_top_k}()} \cr +\code{\link{op_trace}()} \cr +\code{\link{op_transpose}()} \cr +\code{\link{op_tri}()} \cr +\code{\link{op_tril}()} \cr +\code{\link{op_triu}()} \cr +\code{\link{op_unstack}()} \cr +\code{\link{op_var}()} \cr +\code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr +\code{\link{op_vectorized_map}()} \cr +\code{\link{op_vstack}()} \cr +\code{\link{op_where}()} \cr +\code{\link{op_while_loop}()} \cr +\code{\link{op_zeros}()} \cr +\code{\link{op_zeros_like}()} \cr +} +\concept{linear algebra ops} +\concept{ops} diff --git a/man/op_einsum.Rd b/man/op_einsum.Rd index 4334793e3..ecefaea21 100644 --- a/man/op_einsum.Rd +++ b/man/op_einsum.Rd @@ -150,6 +150,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -223,6 +224,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -250,6 +252,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -297,6 +300,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -311,6 +315,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr \code{\link{op_equal}()} \cr @@ -344,6 +349,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -416,6 +422,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -461,6 +468,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_elu.Rd b/man/op_elu.Rd index 5a41c375a..5ce5d0a75 100644 --- a/man/op_elu.Rd +++ b/man/op_elu.Rd @@ -107,6 +107,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -121,6 +122,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_empty}()} \cr \code{\link{op_equal}()} \cr @@ -154,6 +156,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -226,6 +229,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -271,6 +275,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_empty.Rd b/man/op_empty.Rd index 00d037e6e..c577ec7a6 100644 --- a/man/op_empty.Rd +++ b/man/op_empty.Rd @@ -53,6 +53,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -126,6 +127,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -153,6 +155,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -200,6 +203,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -214,6 +218,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_equal}()} \cr @@ -247,6 +252,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -319,6 +325,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -364,6 +371,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_equal.Rd b/man/op_equal.Rd index ff3241af8..8877c605d 100644 --- a/man/op_equal.Rd +++ b/man/op_equal.Rd @@ -74,6 +74,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -147,6 +148,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -174,6 +176,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -221,6 +224,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -235,6 +239,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -268,6 +273,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -340,6 +346,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -385,6 +392,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_erf.Rd b/man/op_erf.Rd index 3fb038973..95e1e9ad2 100644 --- a/man/op_erf.Rd +++ b/man/op_erf.Rd @@ -89,6 +89,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -103,6 +104,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -136,6 +138,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -208,6 +211,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -253,6 +257,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_erfinv.Rd b/man/op_erfinv.Rd index e90985939..70472e331 100644 --- a/man/op_erfinv.Rd +++ b/man/op_erfinv.Rd @@ -86,6 +86,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -100,6 +101,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -133,6 +135,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -205,6 +208,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -250,6 +254,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_exp.Rd b/man/op_exp.Rd index e336b0ccd..9bcc3182c 100644 --- a/man/op_exp.Rd +++ b/man/op_exp.Rd @@ -51,6 +51,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -124,6 +125,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -151,6 +153,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -198,6 +201,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -212,6 +216,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -245,6 +250,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -317,6 +323,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -362,6 +369,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_expand_dims.Rd b/man/op_expand_dims.Rd index c54187638..418cf2ee4 100644 --- a/man/op_expand_dims.Rd +++ b/man/op_expand_dims.Rd @@ -54,6 +54,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -127,6 +128,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -154,6 +156,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -201,6 +204,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -215,6 +219,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -248,6 +253,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -320,6 +326,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -365,6 +372,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_expm1.Rd b/man/op_expm1.Rd index b985a3d9e..3b6582552 100644 --- a/man/op_expm1.Rd +++ b/man/op_expm1.Rd @@ -51,6 +51,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -124,6 +125,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -151,6 +153,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -198,6 +201,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -212,6 +216,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -245,6 +250,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -317,6 +323,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -362,6 +369,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_extract_sequences.Rd b/man/op_extract_sequences.Rd index d99abaaa9..3496ce5ce 100644 --- a/man/op_extract_sequences.Rd +++ b/man/op_extract_sequences.Rd @@ -103,6 +103,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -117,6 +118,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -150,6 +152,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -222,6 +225,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -267,6 +271,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_eye.Rd b/man/op_eye.Rd index 3343b2dfb..711365db4 100644 --- a/man/op_eye.Rd +++ b/man/op_eye.Rd @@ -59,6 +59,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -132,6 +133,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -159,6 +161,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -206,6 +209,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -220,6 +224,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -253,6 +258,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -325,6 +331,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -370,6 +377,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_fft.Rd b/man/op_fft.Rd index 57249d232..c6c4038b7 100644 --- a/man/op_fft.Rd +++ b/man/op_fft.Rd @@ -97,6 +97,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -111,6 +112,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -144,6 +146,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -216,6 +219,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -261,6 +265,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_fft2.Rd b/man/op_fft2.Rd index d763b2254..2887a681c 100644 --- a/man/op_fft2.Rd +++ b/man/op_fft2.Rd @@ -103,6 +103,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -117,6 +118,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -150,6 +152,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -222,6 +225,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -267,6 +271,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_flip.Rd b/man/op_flip.Rd index ad01c735b..184025a37 100644 --- a/man/op_flip.Rd +++ b/man/op_flip.Rd @@ -54,6 +54,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -127,6 +128,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -154,6 +156,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -201,6 +204,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -215,6 +219,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -248,6 +253,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -320,6 +326,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -365,6 +372,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_floor.Rd b/man/op_floor.Rd index a91ae117a..5195a77ff 100644 --- a/man/op_floor.Rd +++ b/man/op_floor.Rd @@ -51,6 +51,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -124,6 +125,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -151,6 +153,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -198,6 +201,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -212,6 +216,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -245,6 +250,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -317,6 +323,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -362,6 +369,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_floor_divide.Rd b/man/op_floor_divide.Rd index 5536e5c2d..fedbe94cd 100644 --- a/man/op_floor_divide.Rd +++ b/man/op_floor_divide.Rd @@ -70,6 +70,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -143,6 +144,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -170,6 +172,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -217,6 +220,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -231,6 +235,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -264,6 +269,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -336,6 +342,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -381,6 +388,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_fori_loop.Rd b/man/op_fori_loop.Rd index e81bf2af2..f225b4e89 100644 --- a/man/op_fori_loop.Rd +++ b/man/op_fori_loop.Rd @@ -97,6 +97,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -111,6 +112,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -144,6 +146,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -216,6 +219,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -261,6 +265,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_full.Rd b/man/op_full.Rd index 3f2eca340..06fb4b189 100644 --- a/man/op_full.Rd +++ b/man/op_full.Rd @@ -55,6 +55,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -128,6 +129,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -155,6 +157,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -202,6 +205,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -216,6 +220,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -249,6 +254,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -321,6 +327,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -366,6 +373,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_full_like.Rd b/man/op_full_like.Rd index 9e7a9c0c0..79b932021 100644 --- a/man/op_full_like.Rd +++ b/man/op_full_like.Rd @@ -55,6 +55,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -128,6 +129,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -155,6 +157,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -202,6 +205,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -216,6 +220,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -249,6 +254,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -321,6 +327,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -366,6 +373,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_gelu.Rd b/man/op_gelu.Rd index d9b328b17..8aa1f5eed 100644 --- a/man/op_gelu.Rd +++ b/man/op_gelu.Rd @@ -125,6 +125,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -139,6 +140,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -172,6 +174,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -244,6 +247,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -289,6 +293,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_get_item.Rd b/man/op_get_item.Rd index 517bdf930..dd98a1785 100644 --- a/man/op_get_item.Rd +++ b/man/op_get_item.Rd @@ -56,6 +56,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -129,6 +130,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -156,6 +158,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -203,6 +206,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -217,6 +221,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -250,6 +255,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -322,6 +328,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -367,6 +374,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_greater.Rd b/man/op_greater.Rd index b3d4080f4..840949970 100644 --- a/man/op_greater.Rd +++ b/man/op_greater.Rd @@ -74,6 +74,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -147,6 +148,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -174,6 +176,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -221,6 +224,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -235,6 +239,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -268,6 +273,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -340,6 +346,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -385,6 +392,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_greater_equal.Rd b/man/op_greater_equal.Rd index 19f9959a2..1d7a42922 100644 --- a/man/op_greater_equal.Rd +++ b/man/op_greater_equal.Rd @@ -74,6 +74,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -147,6 +148,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -174,6 +176,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -221,6 +224,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -235,6 +239,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -268,6 +273,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -340,6 +346,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -385,6 +392,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_hard_sigmoid.Rd b/man/op_hard_sigmoid.Rd index 16a3cefde..7e123b787 100644 --- a/man/op_hard_sigmoid.Rd +++ b/man/op_hard_sigmoid.Rd @@ -112,6 +112,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -126,6 +127,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -159,6 +161,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -231,6 +234,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -276,6 +280,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_hard_silu.Rd b/man/op_hard_silu.Rd index 9a00d60a3..a40d957d3 100644 --- a/man/op_hard_silu.Rd +++ b/man/op_hard_silu.Rd @@ -109,6 +109,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -123,6 +124,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -156,6 +158,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -228,6 +231,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -273,6 +277,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_hstack.Rd b/man/op_hstack.Rd index 8ee7cac04..7a2ed66b7 100644 --- a/man/op_hstack.Rd +++ b/man/op_hstack.Rd @@ -52,6 +52,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -125,6 +126,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -152,6 +154,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -199,6 +202,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -213,6 +217,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -246,6 +251,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -318,6 +324,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -363,6 +370,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_identity.Rd b/man/op_identity.Rd index 8bde61cd6..414880372 100644 --- a/man/op_identity.Rd +++ b/man/op_identity.Rd @@ -54,6 +54,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -127,6 +128,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -154,6 +156,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -201,6 +204,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -215,6 +219,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -248,6 +253,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -320,6 +326,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -365,6 +372,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_imag.Rd b/man/op_imag.Rd index 89516f987..ec5f729a9 100644 --- a/man/op_imag.Rd +++ b/man/op_imag.Rd @@ -51,6 +51,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -124,6 +125,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -151,6 +153,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -198,6 +201,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -212,6 +216,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -245,6 +250,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -317,6 +323,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -362,6 +369,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_image_affine_transform.Rd b/man/op_image_affine_transform.Rd index 0f10eebbe..d8ae681ed 100644 --- a/man/op_image_affine_transform.Rd +++ b/man/op_image_affine_transform.Rd @@ -121,6 +121,7 @@ Other image ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr Other image utils: \cr \code{\link{image_array_save}()} \cr @@ -133,6 +134,7 @@ Other image utils: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr Other ops: \cr \code{\link{op_abs}()} \cr @@ -176,6 +178,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -190,6 +193,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -223,6 +227,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -295,6 +300,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -340,6 +346,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_image_crop.Rd b/man/op_image_crop.Rd index 25427d02a..869c66069 100644 --- a/man/op_image_crop.Rd +++ b/man/op_image_crop.Rd @@ -59,6 +59,7 @@ Other image ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr Other image utils: \cr \code{\link{image_array_save}()} \cr @@ -71,6 +72,7 @@ Other image utils: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr Other ops: \cr \code{\link{op_abs}()} \cr @@ -114,6 +116,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -128,6 +131,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -161,6 +165,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -233,6 +238,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -278,6 +284,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_image_extract_patches.Rd b/man/op_image_extract_patches.Rd index 9840cf4e4..cf5966039 100644 --- a/man/op_image_extract_patches.Rd +++ b/man/op_image_extract_patches.Rd @@ -78,6 +78,7 @@ Other image ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr Other image utils: \cr \code{\link{image_array_save}()} \cr @@ -90,6 +91,7 @@ Other image utils: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr Other ops: \cr \code{\link{op_abs}()} \cr @@ -133,6 +135,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -147,6 +150,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -180,6 +184,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -252,6 +257,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -297,6 +303,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_image_map_coordinates.Rd b/man/op_image_map_coordinates.Rd index 2bc1ce280..a528a4c3e 100644 --- a/man/op_image_map_coordinates.Rd +++ b/man/op_image_map_coordinates.Rd @@ -59,6 +59,7 @@ Other image ops: \cr \code{\link{op_image_extract_patches}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr Other image utils: \cr \code{\link{image_array_save}()} \cr @@ -71,6 +72,7 @@ Other image utils: \cr \code{\link{op_image_extract_patches}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr Other ops: \cr \code{\link{op_abs}()} \cr @@ -114,6 +116,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -128,6 +131,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -161,6 +165,7 @@ Other ops: \cr \code{\link{op_image_extract_patches}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -233,6 +238,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -278,6 +284,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_image_pad.Rd b/man/op_image_pad.Rd index 0ecc6b09d..0ae0bf368 100644 --- a/man/op_image_pad.Rd +++ b/man/op_image_pad.Rd @@ -72,6 +72,7 @@ Other image ops: \cr \code{\link{op_image_extract_patches}()} \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr Other image utils: \cr \code{\link{image_array_save}()} \cr @@ -84,6 +85,7 @@ Other image utils: \cr \code{\link{op_image_extract_patches}()} \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr Other ops: \cr \code{\link{op_abs}()} \cr @@ -127,6 +129,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -141,6 +144,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -174,6 +178,7 @@ Other ops: \cr \code{\link{op_image_extract_patches}()} \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -246,6 +251,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -291,6 +297,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_image_resize.Rd b/man/op_image_resize.Rd index c5887ac5d..b289e9432 100644 --- a/man/op_image_resize.Rd +++ b/man/op_image_resize.Rd @@ -9,6 +9,10 @@ op_image_resize( size, interpolation = "bilinear", antialias = FALSE, + crop_to_aspect_ratio = FALSE, + pad_to_aspect_ratio = FALSE, + fill_mode = "constant", + fill_value = 0, data_format = "channels_last" ) } @@ -23,6 +27,26 @@ op_image_resize( \item{antialias}{Whether to use an antialiasing filter when downsampling an image. Defaults to \code{FALSE}.} +\item{crop_to_aspect_ratio}{If \code{TRUE}, resize the images without aspect +ratio distortion. When the original aspect ratio differs +from the target aspect ratio, the output image will be +cropped so as to return the +largest possible window in the image (of size \verb{(height, width)}) +that matches the target aspect ratio. By default +(\code{crop_to_aspect_ratio=FALSE}), aspect ratio may not be preserved.} + +\item{pad_to_aspect_ratio}{If \code{TRUE}, pad the images without aspect +ratio distortion. When the original aspect ratio differs +from the target aspect ratio, the output image will be +evenly padded on the short side.} + +\item{fill_mode}{When using \code{pad_to_aspect_ratio=TRUE}, padded areas +are filled according to the given mode. Only \code{"constant"} is +supported at this time +(fill with constant value, equal to \code{fill_value}).} + +\item{fill_value}{Float. Padding value to use when \code{pad_to_aspect_ratio=TRUE}.} + \item{data_format}{string, either \code{"channels_last"} or \code{"channels_first"}. The ordering of the dimensions in the inputs. \code{"channels_last"} corresponds to inputs with shape \verb{(batch, height, width, channels)} @@ -78,6 +102,7 @@ Other image ops: \cr \code{\link{op_image_extract_patches}()} \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr Other image utils: \cr \code{\link{image_array_save}()} \cr @@ -90,6 +115,7 @@ Other image utils: \cr \code{\link{op_image_extract_patches}()} \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr Other ops: \cr \code{\link{op_abs}()} \cr @@ -133,6 +159,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -147,6 +174,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -180,6 +208,7 @@ Other ops: \cr \code{\link{op_image_extract_patches}()} \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -252,6 +281,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -297,6 +327,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_image_rgb_to_grayscale.Rd b/man/op_image_rgb_to_grayscale.Rd new file mode 100644 index 000000000..2ce07ac08 --- /dev/null +++ b/man/op_image_rgb_to_grayscale.Rd @@ -0,0 +1,299 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/ops-image.R +\name{op_image_rgb_to_grayscale} +\alias{op_image_rgb_to_grayscale} +\title{Convert RGB images to grayscale.} +\usage{ +op_image_rgb_to_grayscale(image, data_format = "channels_last") +} +\arguments{ +\item{image}{Input RGB image or batch of RGB images. Must be a 3D tensor +with shape \verb{(height, width, channels)} or a 4D tensor with shape +\verb{(batch, height, width, channels)}.} + +\item{data_format}{A string specifying the data format of the input tensor. +It can be either \code{"channels_last"} or \code{"channels_first"}. +\code{"channels_last"} corresponds to inputs with shape +\verb{(batch, height, width, channels)}, while \code{"channels_first"} +corresponds to inputs with shape \verb{(batch, channels, height, width)}. +Defaults to \code{"channels_last"}.} +} +\value{ +Grayscale image or batch of grayscale images. +} +\description{ +This function converts RGB images to grayscale images. It supports both +3D and 4D tensors, where the last dimension represents channels. +} +\section{Examples}{ +\if{html}{\out{
}}\preformatted{x <- random_uniform(c(2, 4, 4, 3)) +y <- op_image_rgb_to_grayscale(x) +shape(y) +}\if{html}{\out{
}} + +\if{html}{\out{
}}\preformatted{## shape(2, 4, 4, 1) + +}\if{html}{\out{
}} + +\if{html}{\out{
}}\preformatted{x <- random_uniform(c(4, 4, 3)) # Single RGB image +y = op_image_rgb_to_grayscale(x) +shape(y) +}\if{html}{\out{
}} + +\if{html}{\out{
}}\preformatted{## shape(4, 4, 1) + +}\if{html}{\out{
}} + +\if{html}{\out{
}}\preformatted{x <- random_uniform(c(2, 3, 4, 4)) +y <- op_image_rgb_to_grayscale(x, data_format="channels_first") +shape(y) +}\if{html}{\out{
}} + +\if{html}{\out{
}}\preformatted{## shape(2, 1, 4, 4) + +}\if{html}{\out{
}} +} + +\seealso{ +Other image ops: \cr +\code{\link{op_image_affine_transform}()} \cr +\code{\link{op_image_crop}()} \cr +\code{\link{op_image_extract_patches}()} \cr +\code{\link{op_image_map_coordinates}()} \cr +\code{\link{op_image_pad}()} \cr +\code{\link{op_image_resize}()} \cr + +Other image utils: \cr +\code{\link{image_array_save}()} \cr +\code{\link{image_from_array}()} \cr +\code{\link{image_load}()} \cr +\code{\link{image_smart_resize}()} \cr +\code{\link{image_to_array}()} \cr +\code{\link{op_image_affine_transform}()} \cr +\code{\link{op_image_crop}()} \cr +\code{\link{op_image_extract_patches}()} \cr +\code{\link{op_image_map_coordinates}()} \cr +\code{\link{op_image_pad}()} \cr +\code{\link{op_image_resize}()} \cr + +Other ops: \cr +\code{\link{op_abs}()} \cr +\code{\link{op_add}()} \cr +\code{\link{op_all}()} \cr +\code{\link{op_any}()} \cr +\code{\link{op_append}()} \cr +\code{\link{op_arange}()} \cr +\code{\link{op_arccos}()} \cr +\code{\link{op_arccosh}()} \cr +\code{\link{op_arcsin}()} \cr +\code{\link{op_arcsinh}()} \cr +\code{\link{op_arctan}()} \cr +\code{\link{op_arctan2}()} \cr +\code{\link{op_arctanh}()} \cr +\code{\link{op_argmax}()} \cr +\code{\link{op_argmin}()} \cr +\code{\link{op_argsort}()} \cr +\code{\link{op_array}()} \cr +\code{\link{op_average}()} \cr +\code{\link{op_average_pool}()} \cr +\code{\link{op_batch_normalization}()} \cr +\code{\link{op_binary_crossentropy}()} \cr +\code{\link{op_bincount}()} \cr +\code{\link{op_broadcast_to}()} \cr +\code{\link{op_cast}()} \cr +\code{\link{op_categorical_crossentropy}()} \cr +\code{\link{op_ceil}()} \cr +\code{\link{op_cholesky}()} \cr +\code{\link{op_clip}()} \cr +\code{\link{op_concatenate}()} \cr +\code{\link{op_cond}()} \cr +\code{\link{op_conj}()} \cr +\code{\link{op_conv}()} \cr +\code{\link{op_conv_transpose}()} \cr +\code{\link{op_convert_to_numpy}()} \cr +\code{\link{op_convert_to_tensor}()} \cr +\code{\link{op_copy}()} \cr +\code{\link{op_correlate}()} \cr +\code{\link{op_cos}()} \cr +\code{\link{op_cosh}()} \cr +\code{\link{op_count_nonzero}()} \cr +\code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr +\code{\link{op_ctc_loss}()} \cr +\code{\link{op_cumprod}()} \cr +\code{\link{op_cumsum}()} \cr +\code{\link{op_custom_gradient}()} \cr +\code{\link{op_depthwise_conv}()} \cr +\code{\link{op_det}()} \cr +\code{\link{op_diag}()} \cr +\code{\link{op_diagonal}()} \cr +\code{\link{op_diff}()} \cr +\code{\link{op_digitize}()} \cr +\code{\link{op_divide}()} \cr +\code{\link{op_divide_no_nan}()} \cr +\code{\link{op_dot}()} \cr +\code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr +\code{\link{op_einsum}()} \cr +\code{\link{op_elu}()} \cr +\code{\link{op_empty}()} \cr +\code{\link{op_equal}()} \cr +\code{\link{op_erf}()} \cr +\code{\link{op_erfinv}()} \cr +\code{\link{op_exp}()} \cr +\code{\link{op_expand_dims}()} \cr +\code{\link{op_expm1}()} \cr +\code{\link{op_extract_sequences}()} \cr +\code{\link{op_eye}()} \cr +\code{\link{op_fft}()} \cr +\code{\link{op_fft2}()} \cr +\code{\link{op_flip}()} \cr +\code{\link{op_floor}()} \cr +\code{\link{op_floor_divide}()} \cr +\code{\link{op_fori_loop}()} \cr +\code{\link{op_full}()} \cr +\code{\link{op_full_like}()} \cr +\code{\link{op_gelu}()} \cr +\code{\link{op_get_item}()} \cr +\code{\link{op_greater}()} \cr +\code{\link{op_greater_equal}()} \cr +\code{\link{op_hard_sigmoid}()} \cr +\code{\link{op_hard_silu}()} \cr +\code{\link{op_hstack}()} \cr +\code{\link{op_identity}()} \cr +\code{\link{op_imag}()} \cr +\code{\link{op_image_affine_transform}()} \cr +\code{\link{op_image_crop}()} \cr +\code{\link{op_image_extract_patches}()} \cr +\code{\link{op_image_map_coordinates}()} \cr +\code{\link{op_image_pad}()} \cr +\code{\link{op_image_resize}()} \cr +\code{\link{op_in_top_k}()} \cr +\code{\link{op_inv}()} \cr +\code{\link{op_irfft}()} \cr +\code{\link{op_is_tensor}()} \cr +\code{\link{op_isclose}()} \cr +\code{\link{op_isfinite}()} \cr +\code{\link{op_isinf}()} \cr +\code{\link{op_isnan}()} \cr +\code{\link{op_istft}()} \cr +\code{\link{op_leaky_relu}()} \cr +\code{\link{op_less}()} \cr +\code{\link{op_less_equal}()} \cr +\code{\link{op_linspace}()} \cr +\code{\link{op_log}()} \cr +\code{\link{op_log10}()} \cr +\code{\link{op_log1p}()} \cr +\code{\link{op_log2}()} \cr +\code{\link{op_log_sigmoid}()} \cr +\code{\link{op_log_softmax}()} \cr +\code{\link{op_logaddexp}()} \cr +\code{\link{op_logical_and}()} \cr +\code{\link{op_logical_not}()} \cr +\code{\link{op_logical_or}()} \cr +\code{\link{op_logical_xor}()} \cr +\code{\link{op_logspace}()} \cr +\code{\link{op_logsumexp}()} \cr +\code{\link{op_lu_factor}()} \cr +\code{\link{op_matmul}()} \cr +\code{\link{op_max}()} \cr +\code{\link{op_max_pool}()} \cr +\code{\link{op_maximum}()} \cr +\code{\link{op_mean}()} \cr +\code{\link{op_median}()} \cr +\code{\link{op_meshgrid}()} \cr +\code{\link{op_min}()} \cr +\code{\link{op_minimum}()} \cr +\code{\link{op_mod}()} \cr +\code{\link{op_moments}()} \cr +\code{\link{op_moveaxis}()} \cr +\code{\link{op_multi_hot}()} \cr +\code{\link{op_multiply}()} \cr +\code{\link{op_nan_to_num}()} \cr +\code{\link{op_ndim}()} \cr +\code{\link{op_negative}()} \cr +\code{\link{op_nonzero}()} \cr +\code{\link{op_norm}()} \cr +\code{\link{op_normalize}()} \cr +\code{\link{op_not_equal}()} \cr +\code{\link{op_one_hot}()} \cr +\code{\link{op_ones}()} \cr +\code{\link{op_ones_like}()} \cr +\code{\link{op_outer}()} \cr +\code{\link{op_pad}()} \cr +\code{\link{op_power}()} \cr +\code{\link{op_prod}()} \cr +\code{\link{op_qr}()} \cr +\code{\link{op_quantile}()} \cr +\code{\link{op_ravel}()} \cr +\code{\link{op_real}()} \cr +\code{\link{op_reciprocal}()} \cr +\code{\link{op_relu}()} \cr +\code{\link{op_relu6}()} \cr +\code{\link{op_repeat}()} \cr +\code{\link{op_reshape}()} \cr +\code{\link{op_rfft}()} \cr +\code{\link{op_roll}()} \cr +\code{\link{op_round}()} \cr +\code{\link{op_rsqrt}()} \cr +\code{\link{op_scatter}()} \cr +\code{\link{op_scatter_update}()} \cr +\code{\link{op_segment_max}()} \cr +\code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr +\code{\link{op_selu}()} \cr +\code{\link{op_separable_conv}()} \cr +\code{\link{op_shape}()} \cr +\code{\link{op_sigmoid}()} \cr +\code{\link{op_sign}()} \cr +\code{\link{op_silu}()} \cr +\code{\link{op_sin}()} \cr +\code{\link{op_sinh}()} \cr +\code{\link{op_size}()} \cr +\code{\link{op_slice}()} \cr +\code{\link{op_slice_update}()} \cr +\code{\link{op_softmax}()} \cr +\code{\link{op_softplus}()} \cr +\code{\link{op_softsign}()} \cr +\code{\link{op_solve}()} \cr +\code{\link{op_solve_triangular}()} \cr +\code{\link{op_sort}()} \cr +\code{\link{op_sparse_categorical_crossentropy}()} \cr +\code{\link{op_split}()} \cr +\code{\link{op_sqrt}()} \cr +\code{\link{op_square}()} \cr +\code{\link{op_squeeze}()} \cr +\code{\link{op_stack}()} \cr +\code{\link{op_std}()} \cr +\code{\link{op_stft}()} \cr +\code{\link{op_stop_gradient}()} \cr +\code{\link{op_subtract}()} \cr +\code{\link{op_sum}()} \cr +\code{\link{op_svd}()} \cr +\code{\link{op_swapaxes}()} \cr +\code{\link{op_take}()} \cr +\code{\link{op_take_along_axis}()} \cr +\code{\link{op_tan}()} \cr +\code{\link{op_tanh}()} \cr +\code{\link{op_tensordot}()} \cr +\code{\link{op_tile}()} \cr +\code{\link{op_top_k}()} \cr +\code{\link{op_trace}()} \cr +\code{\link{op_transpose}()} \cr +\code{\link{op_tri}()} \cr +\code{\link{op_tril}()} \cr +\code{\link{op_triu}()} \cr +\code{\link{op_unstack}()} \cr +\code{\link{op_var}()} \cr +\code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr +\code{\link{op_vectorized_map}()} \cr +\code{\link{op_vstack}()} \cr +\code{\link{op_where}()} \cr +\code{\link{op_while_loop}()} \cr +\code{\link{op_zeros}()} \cr +\code{\link{op_zeros_like}()} \cr +} +\concept{image ops} +\concept{image utils} +\concept{ops} diff --git a/man/op_in_top_k.Rd b/man/op_in_top_k.Rd index 1cfaaf977..823650cae 100644 --- a/man/op_in_top_k.Rd +++ b/man/op_in_top_k.Rd @@ -100,6 +100,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -114,6 +115,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -148,6 +150,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr \code{\link{op_is_tensor}()} \cr @@ -219,6 +222,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -264,6 +268,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_inv.Rd b/man/op_inv.Rd index 2aa47f1ac..5c4bbaba3 100644 --- a/man/op_inv.Rd +++ b/man/op_inv.Rd @@ -20,6 +20,7 @@ Other linear algebra ops: \cr \code{\link{op_cholesky}()} \cr \code{\link{op_det}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_lu_factor}()} \cr \code{\link{op_norm}()} \cr \code{\link{op_solve_triangular}()} \cr @@ -67,6 +68,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -81,6 +83,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -115,6 +118,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_irfft}()} \cr \code{\link{op_is_tensor}()} \cr @@ -186,6 +190,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -231,6 +236,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_irfft.Rd b/man/op_irfft.Rd index 05c7dfd13..17234cfe8 100644 --- a/man/op_irfft.Rd +++ b/man/op_irfft.Rd @@ -118,6 +118,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -132,6 +133,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -166,6 +168,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_is_tensor}()} \cr @@ -237,6 +240,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -282,6 +286,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_is_tensor.Rd b/man/op_is_tensor.Rd index c039e188b..e355d7a42 100644 --- a/man/op_is_tensor.Rd +++ b/man/op_is_tensor.Rd @@ -80,6 +80,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -94,6 +95,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -128,6 +130,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -199,6 +202,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -244,6 +248,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_isclose.Rd b/man/op_isclose.Rd index 55bc6802b..37d933445 100644 --- a/man/op_isclose.Rd +++ b/man/op_isclose.Rd @@ -53,6 +53,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -126,6 +127,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -153,6 +155,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -200,6 +203,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -214,6 +218,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -248,6 +253,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -319,6 +325,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -364,6 +371,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_isfinite.Rd b/man/op_isfinite.Rd index 9f1635b82..07df539a5 100644 --- a/man/op_isfinite.Rd +++ b/man/op_isfinite.Rd @@ -53,6 +53,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -126,6 +127,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -153,6 +155,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -200,6 +203,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -214,6 +218,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -248,6 +253,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -319,6 +325,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -364,6 +371,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_isinf.Rd b/man/op_isinf.Rd index 24e7a4ef2..128a1d173 100644 --- a/man/op_isinf.Rd +++ b/man/op_isinf.Rd @@ -51,6 +51,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -124,6 +125,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -151,6 +153,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -198,6 +201,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -212,6 +216,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -246,6 +251,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -317,6 +323,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -362,6 +369,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_isnan.Rd b/man/op_isnan.Rd index 36ca287aa..11bcf9a97 100644 --- a/man/op_isnan.Rd +++ b/man/op_isnan.Rd @@ -51,6 +51,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -124,6 +125,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -151,6 +153,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -198,6 +201,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -212,6 +216,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -246,6 +251,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -317,6 +323,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -362,6 +369,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_istft.Rd b/man/op_istft.Rd index 47c0807d7..6a581e921 100644 --- a/man/op_istft.Rd +++ b/man/op_istft.Rd @@ -124,6 +124,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -138,6 +139,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -172,6 +174,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -243,6 +246,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -288,6 +292,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_leaky_relu.Rd b/man/op_leaky_relu.Rd index 4822610a4..f05d4da10 100644 --- a/man/op_leaky_relu.Rd +++ b/man/op_leaky_relu.Rd @@ -118,6 +118,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -132,6 +133,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -166,6 +168,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -237,6 +240,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -282,6 +286,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_less.Rd b/man/op_less.Rd index 1c4130264..c6e06e71e 100644 --- a/man/op_less.Rd +++ b/man/op_less.Rd @@ -74,6 +74,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -147,6 +148,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -174,6 +176,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -221,6 +224,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -235,6 +239,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -269,6 +274,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -340,6 +346,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -385,6 +392,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_less_equal.Rd b/man/op_less_equal.Rd index 719787e62..7579789b0 100644 --- a/man/op_less_equal.Rd +++ b/man/op_less_equal.Rd @@ -74,6 +74,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -147,6 +148,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -174,6 +176,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -221,6 +224,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -235,6 +239,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -269,6 +274,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -340,6 +346,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -385,6 +392,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_linspace.Rd b/man/op_linspace.Rd index ea3b5a0f6..0b1587643 100644 --- a/man/op_linspace.Rd +++ b/man/op_linspace.Rd @@ -26,7 +26,7 @@ Note that the step size changes when \code{endpoint} is \code{FALSE}.} non-negative.} \item{endpoint}{If \code{TRUE}, \code{stop} is the last sample. Otherwise, it is -not included. Defaults to\code{TRUE}.} +not included. Defaults to \code{TRUE}.} \item{retstep}{If \code{TRUE}, return \verb{(samples, step)}, where \code{step} is the spacing between samples.} @@ -86,6 +86,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -159,6 +160,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -186,6 +188,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -233,6 +236,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -247,6 +251,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -281,6 +286,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -352,6 +358,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -397,6 +404,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_log.Rd b/man/op_log.Rd index 62640d6d4..7e74e0ec9 100644 --- a/man/op_log.Rd +++ b/man/op_log.Rd @@ -51,6 +51,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -124,6 +125,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -151,6 +153,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -198,6 +201,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -212,6 +216,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -246,6 +251,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -317,6 +323,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -362,6 +369,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_log10.Rd b/man/op_log10.Rd index b2c760c50..14fbe6e50 100644 --- a/man/op_log10.Rd +++ b/man/op_log10.Rd @@ -51,6 +51,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -124,6 +125,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -151,6 +153,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -198,6 +201,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -212,6 +216,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -246,6 +251,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -317,6 +323,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -362,6 +369,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_log1p.Rd b/man/op_log1p.Rd index 6e167052a..95341ef3a 100644 --- a/man/op_log1p.Rd +++ b/man/op_log1p.Rd @@ -51,6 +51,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -124,6 +125,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -151,6 +153,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -198,6 +201,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -212,6 +216,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -246,6 +251,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -317,6 +323,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -362,6 +369,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_log2.Rd b/man/op_log2.Rd index 57c50679c..9fea26cbf 100644 --- a/man/op_log2.Rd +++ b/man/op_log2.Rd @@ -51,6 +51,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -124,6 +125,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -151,6 +153,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -198,6 +201,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -212,6 +216,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -246,6 +251,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -317,6 +323,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -362,6 +369,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_log_sigmoid.Rd b/man/op_log_sigmoid.Rd index 1bd9feac5..4f256e7b5 100644 --- a/man/op_log_sigmoid.Rd +++ b/man/op_log_sigmoid.Rd @@ -103,6 +103,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -117,6 +118,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -151,6 +153,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -222,6 +225,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -267,6 +271,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_log_softmax.Rd b/man/op_log_softmax.Rd index 59a81a374..16f2c2c29 100644 --- a/man/op_log_softmax.Rd +++ b/man/op_log_softmax.Rd @@ -107,6 +107,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -121,6 +122,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -155,6 +157,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -226,6 +229,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -271,6 +275,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_logaddexp.Rd b/man/op_logaddexp.Rd index fb36d7438..ceb51d35a 100644 --- a/man/op_logaddexp.Rd +++ b/man/op_logaddexp.Rd @@ -54,6 +54,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -127,6 +128,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -154,6 +156,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -201,6 +204,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -215,6 +219,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -249,6 +254,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -320,6 +326,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -365,6 +372,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_logical_and.Rd b/man/op_logical_and.Rd index e1cec6842..3ae7bbc90 100644 --- a/man/op_logical_and.Rd +++ b/man/op_logical_and.Rd @@ -56,6 +56,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -129,6 +130,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -156,6 +158,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -203,6 +206,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -217,6 +221,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -251,6 +256,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -322,6 +328,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -367,6 +374,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_logical_not.Rd b/man/op_logical_not.Rd index 025431dae..79eacf756 100644 --- a/man/op_logical_not.Rd +++ b/man/op_logical_not.Rd @@ -53,6 +53,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -126,6 +127,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -153,6 +155,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -200,6 +203,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -214,6 +218,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -248,6 +253,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -319,6 +325,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -364,6 +371,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_logical_or.Rd b/man/op_logical_or.Rd index fac46060e..687e908ca 100644 --- a/man/op_logical_or.Rd +++ b/man/op_logical_or.Rd @@ -55,6 +55,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -128,6 +129,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -155,6 +157,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -202,6 +205,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -216,6 +220,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -250,6 +255,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -321,6 +327,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -366,6 +373,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_logical_xor.Rd b/man/op_logical_xor.Rd index 22ff680aa..5c48db1aa 100644 --- a/man/op_logical_xor.Rd +++ b/man/op_logical_xor.Rd @@ -49,6 +49,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -122,6 +123,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -149,6 +151,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -196,6 +199,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -210,6 +214,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -244,6 +249,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -315,6 +321,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -360,6 +367,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_logspace.Rd b/man/op_logspace.Rd index c7cde707e..fb3055c0e 100644 --- a/man/op_logspace.Rd +++ b/man/op_logspace.Rd @@ -25,7 +25,7 @@ are returned.} \item{num}{Number of samples to generate. Defaults to \code{50}.} \item{endpoint}{If \code{TRUE}, \code{stop} is the last sample. Otherwise, it is not -included. Defaults to\code{TRUE}.} +included. Defaults to \code{TRUE}.} \item{base}{The base of the log space. Defaults to \code{10}.} @@ -81,6 +81,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -154,6 +155,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -181,6 +183,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -228,6 +231,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -242,6 +246,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -276,6 +281,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -347,6 +353,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -392,6 +399,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_logsumexp.Rd b/man/op_logsumexp.Rd index 89f2b8f46..60a85e74e 100644 --- a/man/op_logsumexp.Rd +++ b/man/op_logsumexp.Rd @@ -98,6 +98,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -112,6 +113,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -146,6 +148,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -217,6 +220,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -262,6 +266,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_lu_factor.Rd b/man/op_lu_factor.Rd index 154f48832..dba4888cc 100644 --- a/man/op_lu_factor.Rd +++ b/man/op_lu_factor.Rd @@ -22,6 +22,7 @@ Other linear algebra ops: \cr \code{\link{op_cholesky}()} \cr \code{\link{op_det}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_norm}()} \cr \code{\link{op_solve_triangular}()} \cr @@ -69,6 +70,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -83,6 +85,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -117,6 +120,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -188,6 +192,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -233,6 +238,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_matmul.Rd b/man/op_matmul.Rd index 48404a94d..e9cc5a679 100644 --- a/man/op_matmul.Rd +++ b/man/op_matmul.Rd @@ -62,6 +62,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -135,6 +136,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -162,6 +164,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -209,6 +212,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -223,6 +227,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -257,6 +262,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -328,6 +334,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -373,6 +380,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_max.Rd b/man/op_max.Rd index 35f61923b..8b3d951c7 100644 --- a/man/op_max.Rd +++ b/man/op_max.Rd @@ -14,9 +14,9 @@ op_max(x, axis = NULL, keepdims = FALSE, initial = NULL) is used.} \item{keepdims}{If this is set to \code{TRUE}, the axes which are reduced are left -in the result as dimensions with size one. Defaults to\code{FALSE}.} +in the result as dimensions with size one. Defaults to \code{FALSE}.} -\item{initial}{The minimum value of an output element. Defaults to\code{NULL}.} +\item{initial}{The minimum value of an output element. Defaults to \code{NULL}.} } \value{ Maximum of \code{x}. @@ -92,6 +92,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -165,6 +166,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -192,6 +194,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -239,6 +242,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -253,6 +257,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -287,6 +292,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -358,6 +364,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -403,6 +410,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_max_pool.Rd b/man/op_max_pool.Rd index da8dd1b43..103cb3bd1 100644 --- a/man/op_max_pool.Rd +++ b/man/op_max_pool.Rd @@ -127,6 +127,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -141,6 +142,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -175,6 +177,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -246,6 +249,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -291,6 +295,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_maximum.Rd b/man/op_maximum.Rd index 470a918c2..53a06ff48 100644 --- a/man/op_maximum.Rd +++ b/man/op_maximum.Rd @@ -56,6 +56,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -129,6 +130,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -156,6 +158,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -203,6 +206,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -217,6 +221,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -251,6 +256,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -322,6 +328,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -367,6 +374,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_mean.Rd b/man/op_mean.Rd index ad258838a..db5b91498 100644 --- a/man/op_mean.Rd +++ b/man/op_mean.Rd @@ -57,6 +57,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -130,6 +131,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -157,6 +159,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -204,6 +207,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -218,6 +222,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -252,6 +257,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -323,6 +329,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -368,6 +375,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_median.Rd b/man/op_median.Rd index bc3e7bd7c..b70261ba9 100644 --- a/man/op_median.Rd +++ b/man/op_median.Rd @@ -54,6 +54,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -127,6 +128,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -154,6 +156,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -201,6 +204,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -215,6 +219,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -249,6 +254,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -320,6 +326,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -365,6 +372,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_meshgrid.Rd b/man/op_meshgrid.Rd index 1d36a8dbb..7f566295e 100644 --- a/man/op_meshgrid.Rd +++ b/man/op_meshgrid.Rd @@ -92,6 +92,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -165,6 +166,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -192,6 +194,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -239,6 +242,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -253,6 +257,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -287,6 +292,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -358,6 +364,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -403,6 +410,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_min.Rd b/man/op_min.Rd index e7c02bbb5..d4c2f65e0 100644 --- a/man/op_min.Rd +++ b/man/op_min.Rd @@ -14,9 +14,9 @@ op_min(x, axis = NULL, keepdims = FALSE, initial = NULL) is used.} \item{keepdims}{If this is set to \code{TRUE}, the axes which are reduced are left -in the result as dimensions with size one. Defaults to\code{FALSE}.} +in the result as dimensions with size one. Defaults to \code{FALSE}.} -\item{initial}{The maximum value of an output element. Defaults to\code{NULL}.} +\item{initial}{The maximum value of an output element. Defaults to \code{NULL}.} } \value{ Minimum of \code{x}. @@ -92,6 +92,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -165,6 +166,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -192,6 +194,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -239,6 +242,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -253,6 +257,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -287,6 +292,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -358,6 +364,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -403,6 +410,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_minimum.Rd b/man/op_minimum.Rd index 4e3331c18..9c2becd0f 100644 --- a/man/op_minimum.Rd +++ b/man/op_minimum.Rd @@ -56,6 +56,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -129,6 +130,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -156,6 +158,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -203,6 +206,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -217,6 +221,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -251,6 +256,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -322,6 +328,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -367,6 +374,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_mod.Rd b/man/op_mod.Rd index 6a740c0ad..3e9a36808 100644 --- a/man/op_mod.Rd +++ b/man/op_mod.Rd @@ -74,6 +74,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -147,6 +148,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -174,6 +176,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -221,6 +224,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -235,6 +239,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -269,6 +274,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -340,6 +346,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -385,6 +392,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_moments.Rd b/man/op_moments.Rd index 048757db2..47471c28f 100644 --- a/man/op_moments.Rd +++ b/man/op_moments.Rd @@ -116,6 +116,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -130,6 +131,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -164,6 +166,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -235,6 +238,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -280,6 +284,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_moveaxis.Rd b/man/op_moveaxis.Rd index 28cfd1715..ba93b9d48 100644 --- a/man/op_moveaxis.Rd +++ b/man/op_moveaxis.Rd @@ -56,6 +56,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -129,6 +130,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -156,6 +158,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -203,6 +206,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -217,6 +221,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -251,6 +256,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -322,6 +328,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -367,6 +374,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_multi_hot.Rd b/man/op_multi_hot.Rd index 2e4e81f04..3b32828d5 100644 --- a/man/op_multi_hot.Rd +++ b/man/op_multi_hot.Rd @@ -120,6 +120,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -134,6 +135,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -168,6 +170,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -239,6 +242,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -284,6 +288,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_multiply.Rd b/man/op_multiply.Rd index 60ba83dfe..a0b479fcc 100644 --- a/man/op_multiply.Rd +++ b/man/op_multiply.Rd @@ -74,6 +74,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -147,6 +148,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -174,6 +176,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -221,6 +224,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -235,6 +239,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -269,6 +274,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -340,6 +346,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -385,6 +392,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_nan_to_num.Rd b/man/op_nan_to_num.Rd index 5a376eb8f..83a500f3f 100644 --- a/man/op_nan_to_num.Rd +++ b/man/op_nan_to_num.Rd @@ -4,10 +4,16 @@ \alias{op_nan_to_num} \title{Replace NaN with zero and infinity with large finite numbers.} \usage{ -op_nan_to_num(x) +op_nan_to_num(x, nan = 0, posinf = NULL, neginf = NULL) } \arguments{ \item{x}{Input data.} + +\item{nan}{Optional float or int. Value to replace \code{NaN} entries with.} + +\item{posinf}{Optional float or int. Value to replace positive infinity with.} + +\item{neginf}{Optional float or int. Value to replace negative infinity with.} } \value{ \code{x}, with non-finite values replaced. @@ -15,6 +21,29 @@ op_nan_to_num(x) \description{ Replace NaN with zero and infinity with large finite numbers. } +\section{Example}{ +\if{html}{\out{
}}\preformatted{(x <- op_convert_to_tensor(c(1, NaN, -Inf, Inf))) +}\if{html}{\out{
}} + +\if{html}{\out{
}}\preformatted{## tf.Tensor([ 1. nan -inf inf], shape=(4), dtype=float32) + +}\if{html}{\out{
}} + +\if{html}{\out{
}}\preformatted{op_nan_to_num(x) +}\if{html}{\out{
}} + +\if{html}{\out{
}}\preformatted{## tf.Tensor([ 1.0000000e+00 0.0000000e+00 -3.4028235e+38 3.4028235e+38], shape=(4), dtype=float32) + +}\if{html}{\out{
}} + +\if{html}{\out{
}}\preformatted{op_nan_to_num(x, nan = -1, posinf = 2, neginf = -2) +}\if{html}{\out{
}} + +\if{html}{\out{
}}\preformatted{## tf.Tensor([ 1. -1. -2. 2.], shape=(4), dtype=float32) + +}\if{html}{\out{
}} +} + \seealso{ \itemize{ \item \url{https://keras.io/api/ops/numpy#nantonum-function} @@ -51,6 +80,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -124,6 +154,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -151,6 +182,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -198,6 +230,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -212,6 +245,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -246,6 +280,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -317,6 +352,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -362,6 +398,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_ndim.Rd b/man/op_ndim.Rd index 550e9ccb0..01784d042 100644 --- a/man/op_ndim.Rd +++ b/man/op_ndim.Rd @@ -51,6 +51,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -124,6 +125,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -151,6 +153,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -198,6 +201,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -212,6 +216,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -246,6 +251,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -317,6 +323,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -362,6 +369,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_negative.Rd b/man/op_negative.Rd index 4bb5ef3f3..dc4bca1c6 100644 --- a/man/op_negative.Rd +++ b/man/op_negative.Rd @@ -72,6 +72,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -145,6 +146,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -172,6 +174,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -219,6 +222,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -233,6 +237,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -267,6 +272,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -338,6 +344,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -383,6 +390,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_nonzero.Rd b/man/op_nonzero.Rd index e141f4ab5..aaf8fe14a 100644 --- a/man/op_nonzero.Rd +++ b/man/op_nonzero.Rd @@ -51,6 +51,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -124,6 +125,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -151,6 +153,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -198,6 +201,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -212,6 +216,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -246,6 +251,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -317,6 +323,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -362,6 +369,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_norm.Rd b/man/op_norm.Rd index d53c473ed..ae8cfb91d 100644 --- a/man/op_norm.Rd +++ b/man/op_norm.Rd @@ -81,6 +81,7 @@ Other linear algebra ops: \cr \code{\link{op_cholesky}()} \cr \code{\link{op_det}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_lu_factor}()} \cr \code{\link{op_solve_triangular}()} \cr @@ -128,6 +129,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -142,6 +144,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -176,6 +179,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -247,6 +251,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -292,6 +297,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_normalize.Rd b/man/op_normalize.Rd index f6a72bd56..d3749d58c 100644 --- a/man/op_normalize.Rd +++ b/man/op_normalize.Rd @@ -112,6 +112,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -126,6 +127,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -160,6 +162,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -231,6 +234,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -276,6 +280,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_not_equal.Rd b/man/op_not_equal.Rd index d56d1c911..541be65a5 100644 --- a/man/op_not_equal.Rd +++ b/man/op_not_equal.Rd @@ -74,6 +74,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -147,6 +148,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -174,6 +176,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -221,6 +224,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -235,6 +239,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -269,6 +274,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -340,6 +346,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -385,6 +392,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_one_hot.Rd b/man/op_one_hot.Rd index 5eb1ec0f0..e32c96d02 100644 --- a/man/op_one_hot.Rd +++ b/man/op_one_hot.Rd @@ -133,6 +133,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -147,6 +148,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -181,6 +183,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -252,6 +255,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -297,6 +301,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_ones.Rd b/man/op_ones.Rd index 99b38fdaa..806b496e4 100644 --- a/man/op_ones.Rd +++ b/man/op_ones.Rd @@ -53,6 +53,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -126,6 +127,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -153,6 +155,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -200,6 +203,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -214,6 +218,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -248,6 +253,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -319,6 +325,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -364,6 +371,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_ones_like.Rd b/man/op_ones_like.Rd index 61dbe18e7..57276e1e1 100644 --- a/man/op_ones_like.Rd +++ b/man/op_ones_like.Rd @@ -53,6 +53,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -126,6 +127,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -153,6 +155,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -200,6 +203,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -214,6 +218,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -248,6 +253,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -319,6 +325,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -364,6 +371,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_outer.Rd b/man/op_outer.Rd index fbd574be3..d7572e6f9 100644 --- a/man/op_outer.Rd +++ b/man/op_outer.Rd @@ -56,6 +56,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -129,6 +130,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -156,6 +158,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -203,6 +206,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -217,6 +221,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -251,6 +256,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -322,6 +328,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -367,6 +374,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_pad.Rd b/man/op_pad.Rd index d8082d195..d18af0291 100644 --- a/man/op_pad.Rd +++ b/man/op_pad.Rd @@ -78,6 +78,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -151,6 +152,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -178,6 +180,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -225,6 +228,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -239,6 +243,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -273,6 +278,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -344,6 +350,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -389,6 +396,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_power.Rd b/man/op_power.Rd index 7517e38b2..f3d84d0f7 100644 --- a/man/op_power.Rd +++ b/man/op_power.Rd @@ -74,6 +74,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -147,6 +148,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -174,6 +176,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -221,6 +224,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -235,6 +239,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -269,6 +274,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -340,6 +346,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -385,6 +392,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_prod.Rd b/man/op_prod.Rd index 294bb797d..f66e30e81 100644 --- a/man/op_prod.Rd +++ b/man/op_prod.Rd @@ -60,6 +60,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -133,6 +134,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -160,6 +162,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -207,6 +210,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -221,6 +225,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -255,6 +260,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -326,6 +332,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -371,6 +378,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_qr.Rd b/man/op_qr.Rd index 7374ce669..49c6f0f84 100644 --- a/man/op_qr.Rd +++ b/man/op_qr.Rd @@ -110,6 +110,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -124,6 +125,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -158,6 +160,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -229,6 +232,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -274,6 +278,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_quantile.Rd b/man/op_quantile.Rd index 1cfd90003..8a37e0b4a 100644 --- a/man/op_quantile.Rd +++ b/man/op_quantile.Rd @@ -73,6 +73,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -146,6 +147,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -173,6 +175,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -220,6 +223,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -234,6 +238,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -268,6 +273,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -339,6 +345,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -384,6 +391,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_ravel.Rd b/man/op_ravel.Rd index 8a3dce1d0..1e66c5c8b 100644 --- a/man/op_ravel.Rd +++ b/man/op_ravel.Rd @@ -51,6 +51,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -124,6 +125,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -151,6 +153,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -198,6 +201,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -212,6 +216,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -246,6 +251,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -317,6 +323,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -362,6 +369,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_real.Rd b/man/op_real.Rd index 1c23d68b5..d1bf861bd 100644 --- a/man/op_real.Rd +++ b/man/op_real.Rd @@ -51,6 +51,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -124,6 +125,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -151,6 +153,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -198,6 +201,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -212,6 +216,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -246,6 +251,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -317,6 +323,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -362,6 +369,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_reciprocal.Rd b/man/op_reciprocal.Rd index 51678f67b..7d92ddfae 100644 --- a/man/op_reciprocal.Rd +++ b/man/op_reciprocal.Rd @@ -51,6 +51,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -124,6 +125,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -151,6 +153,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -198,6 +201,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -212,6 +216,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -246,6 +251,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -317,6 +323,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -362,6 +369,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_relu.Rd b/man/op_relu.Rd index d170a591d..2c10f5152 100644 --- a/man/op_relu.Rd +++ b/man/op_relu.Rd @@ -109,6 +109,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -123,6 +124,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -157,6 +159,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -228,6 +231,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -273,6 +277,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_relu6.Rd b/man/op_relu6.Rd index c14a6ce6b..4381887b4 100644 --- a/man/op_relu6.Rd +++ b/man/op_relu6.Rd @@ -109,6 +109,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -123,6 +124,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -157,6 +159,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -228,6 +231,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -273,6 +277,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_repeat.Rd b/man/op_repeat.Rd index e5f90c5c1..d11c76e7d 100644 --- a/man/op_repeat.Rd +++ b/man/op_repeat.Rd @@ -56,6 +56,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -129,6 +130,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -156,6 +158,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -203,6 +206,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -217,6 +221,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -251,6 +256,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -322,6 +328,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -367,6 +374,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_reshape.Rd b/man/op_reshape.Rd index 8137f6fa1..ddff6c079 100644 --- a/man/op_reshape.Rd +++ b/man/op_reshape.Rd @@ -55,6 +55,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -128,6 +129,7 @@ Other numpy ops: \cr \code{\link{op_repeat}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -155,6 +157,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -202,6 +205,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -216,6 +220,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -250,6 +255,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -321,6 +327,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -366,6 +373,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_rfft.Rd b/man/op_rfft.Rd index 0fbe7735c..d32b10e14 100644 --- a/man/op_rfft.Rd +++ b/man/op_rfft.Rd @@ -120,6 +120,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -134,6 +135,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -168,6 +170,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -239,6 +242,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -284,6 +288,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_roll.Rd b/man/op_roll.Rd index 611f8138a..255161c88 100644 --- a/man/op_roll.Rd +++ b/man/op_roll.Rd @@ -57,6 +57,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -130,6 +131,7 @@ Other numpy ops: \cr \code{\link{op_repeat}()} \cr \code{\link{op_reshape}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -157,6 +159,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -204,6 +207,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -218,6 +222,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -252,6 +257,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -323,6 +329,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -368,6 +375,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_round.Rd b/man/op_round.Rd index e8878c1dc..161aec533 100644 --- a/man/op_round.Rd +++ b/man/op_round.Rd @@ -53,6 +53,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -126,6 +127,7 @@ Other numpy ops: \cr \code{\link{op_repeat}()} \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -153,6 +155,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -200,6 +203,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -214,6 +218,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -248,6 +253,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -319,6 +325,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -364,6 +371,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_rsqrt.Rd b/man/op_rsqrt.Rd index 1d40e560a..5a1961ff4 100644 --- a/man/op_rsqrt.Rd +++ b/man/op_rsqrt.Rd @@ -93,6 +93,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -107,6 +108,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -141,6 +143,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -212,6 +215,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -257,6 +261,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_scatter.Rd b/man/op_scatter.Rd index b5ab66342..36015c74b 100644 --- a/man/op_scatter.Rd +++ b/man/op_scatter.Rd @@ -101,6 +101,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -115,6 +116,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -149,6 +151,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -220,6 +223,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -265,6 +269,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_scatter_update.Rd b/man/op_scatter_update.Rd index 60662277d..3b5c9624f 100644 --- a/man/op_scatter_update.Rd +++ b/man/op_scatter_update.Rd @@ -165,6 +165,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -179,6 +180,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -213,6 +215,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -284,6 +287,7 @@ Other ops: \cr \code{\link{op_scatter}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -329,6 +333,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_segment_max.Rd b/man/op_segment_max.Rd index 969fce27d..1a1eb1afa 100644 --- a/man/op_segment_max.Rd +++ b/man/op_segment_max.Rd @@ -106,6 +106,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -120,6 +121,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -154,6 +156,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -225,6 +228,7 @@ Other ops: \cr \code{\link{op_scatter}()} \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -270,6 +274,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_segment_sum.Rd b/man/op_segment_sum.Rd index 5c60e7e5e..b9c354e67 100644 --- a/man/op_segment_sum.Rd +++ b/man/op_segment_sum.Rd @@ -103,6 +103,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -117,6 +118,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -151,6 +153,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -222,6 +225,7 @@ Other ops: \cr \code{\link{op_scatter}()} \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -267,6 +271,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_select.Rd b/man/op_select.Rd new file mode 100644 index 000000000..81b141f5c --- /dev/null +++ b/man/op_select.Rd @@ -0,0 +1,403 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/ops.R +\name{op_select} +\alias{op_select} +\title{Return elements from \code{choicelist}, based on conditions in \code{condlist}.} +\usage{ +op_select(condlist, choicelist, default = 0L) +} +\arguments{ +\item{condlist}{List of boolean tensors. +The list of conditions which determine from which array +in choicelist the output elements are taken. +When multiple conditions are satisfied, +the first one encountered in condlist is used.} + +\item{choicelist}{List of tensors. +The list of tensors from which the output elements are taken. +This list has to be of the same length as \code{condlist}.} + +\item{default}{Optional scalar value. +The element inserted in the output +when all conditions evaluate to \code{FALSE}.} +} +\value{ +Tensor where the output at position \code{m} is the \code{m}-th element +of the tensor in \code{choicelist} where the \code{m}-th element of the +corresponding tensor in \code{condlist} is \code{TRUE}. +} +\description{ +Return elements from \code{choicelist}, based on conditions in \code{condlist}. +} +\section{Examples}{ +\if{html}{\out{
}}\preformatted{x <- op_arange(6L) +condlist <- list(x < 3, x > 3) +choicelist <- list(x, x^2) +op_select(condlist, choicelist, 42) +}\if{html}{\out{
}} + +\if{html}{\out{
}}\preformatted{## tf.Tensor([ 0 1 2 42 16 25], shape=(6), dtype=int32) + +}\if{html}{\out{
}} +} + +\seealso{ +Other numpy ops: \cr +\code{\link{op_abs}()} \cr +\code{\link{op_add}()} \cr +\code{\link{op_all}()} \cr +\code{\link{op_any}()} \cr +\code{\link{op_append}()} \cr +\code{\link{op_arange}()} \cr +\code{\link{op_arccos}()} \cr +\code{\link{op_arccosh}()} \cr +\code{\link{op_arcsin}()} \cr +\code{\link{op_arcsinh}()} \cr +\code{\link{op_arctan}()} \cr +\code{\link{op_arctan2}()} \cr +\code{\link{op_arctanh}()} \cr +\code{\link{op_argmax}()} \cr +\code{\link{op_argmin}()} \cr +\code{\link{op_argsort}()} \cr +\code{\link{op_array}()} \cr +\code{\link{op_average}()} \cr +\code{\link{op_bincount}()} \cr +\code{\link{op_broadcast_to}()} \cr +\code{\link{op_ceil}()} \cr +\code{\link{op_clip}()} \cr +\code{\link{op_concatenate}()} \cr +\code{\link{op_conj}()} \cr +\code{\link{op_copy}()} \cr +\code{\link{op_correlate}()} \cr +\code{\link{op_cos}()} \cr +\code{\link{op_cosh}()} \cr +\code{\link{op_count_nonzero}()} \cr +\code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr +\code{\link{op_cumprod}()} \cr +\code{\link{op_cumsum}()} \cr +\code{\link{op_diag}()} \cr +\code{\link{op_diagonal}()} \cr +\code{\link{op_diff}()} \cr +\code{\link{op_digitize}()} \cr +\code{\link{op_divide}()} \cr +\code{\link{op_divide_no_nan}()} \cr +\code{\link{op_dot}()} \cr +\code{\link{op_einsum}()} \cr +\code{\link{op_empty}()} \cr +\code{\link{op_equal}()} \cr +\code{\link{op_exp}()} \cr +\code{\link{op_expand_dims}()} \cr +\code{\link{op_expm1}()} \cr +\code{\link{op_eye}()} \cr +\code{\link{op_flip}()} \cr +\code{\link{op_floor}()} \cr +\code{\link{op_floor_divide}()} \cr +\code{\link{op_full}()} \cr +\code{\link{op_full_like}()} \cr +\code{\link{op_get_item}()} \cr +\code{\link{op_greater}()} \cr +\code{\link{op_greater_equal}()} \cr +\code{\link{op_hstack}()} \cr +\code{\link{op_identity}()} \cr +\code{\link{op_imag}()} \cr +\code{\link{op_isclose}()} \cr +\code{\link{op_isfinite}()} \cr +\code{\link{op_isinf}()} \cr +\code{\link{op_isnan}()} \cr +\code{\link{op_less}()} \cr +\code{\link{op_less_equal}()} \cr +\code{\link{op_linspace}()} \cr +\code{\link{op_log}()} \cr +\code{\link{op_log10}()} \cr +\code{\link{op_log1p}()} \cr +\code{\link{op_log2}()} \cr +\code{\link{op_logaddexp}()} \cr +\code{\link{op_logical_and}()} \cr +\code{\link{op_logical_not}()} \cr +\code{\link{op_logical_or}()} \cr +\code{\link{op_logical_xor}()} \cr +\code{\link{op_logspace}()} \cr +\code{\link{op_matmul}()} \cr +\code{\link{op_max}()} \cr +\code{\link{op_maximum}()} \cr +\code{\link{op_mean}()} \cr +\code{\link{op_median}()} \cr +\code{\link{op_meshgrid}()} \cr +\code{\link{op_min}()} \cr +\code{\link{op_minimum}()} \cr +\code{\link{op_mod}()} \cr +\code{\link{op_moveaxis}()} \cr +\code{\link{op_multiply}()} \cr +\code{\link{op_nan_to_num}()} \cr +\code{\link{op_ndim}()} \cr +\code{\link{op_negative}()} \cr +\code{\link{op_nonzero}()} \cr +\code{\link{op_not_equal}()} \cr +\code{\link{op_ones}()} \cr +\code{\link{op_ones_like}()} \cr +\code{\link{op_outer}()} \cr +\code{\link{op_pad}()} \cr +\code{\link{op_power}()} \cr +\code{\link{op_prod}()} \cr +\code{\link{op_quantile}()} \cr +\code{\link{op_ravel}()} \cr +\code{\link{op_real}()} \cr +\code{\link{op_reciprocal}()} \cr +\code{\link{op_repeat}()} \cr +\code{\link{op_reshape}()} \cr +\code{\link{op_roll}()} \cr +\code{\link{op_round}()} \cr +\code{\link{op_sign}()} \cr +\code{\link{op_sin}()} \cr +\code{\link{op_sinh}()} \cr +\code{\link{op_size}()} \cr +\code{\link{op_sort}()} \cr +\code{\link{op_split}()} \cr +\code{\link{op_sqrt}()} \cr +\code{\link{op_square}()} \cr +\code{\link{op_squeeze}()} \cr +\code{\link{op_stack}()} \cr +\code{\link{op_std}()} \cr +\code{\link{op_subtract}()} \cr +\code{\link{op_sum}()} \cr +\code{\link{op_swapaxes}()} \cr +\code{\link{op_take}()} \cr +\code{\link{op_take_along_axis}()} \cr +\code{\link{op_tan}()} \cr +\code{\link{op_tanh}()} \cr +\code{\link{op_tensordot}()} \cr +\code{\link{op_tile}()} \cr +\code{\link{op_trace}()} \cr +\code{\link{op_transpose}()} \cr +\code{\link{op_tri}()} \cr +\code{\link{op_tril}()} \cr +\code{\link{op_triu}()} \cr +\code{\link{op_var}()} \cr +\code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr +\code{\link{op_vstack}()} \cr +\code{\link{op_where}()} \cr +\code{\link{op_zeros}()} \cr +\code{\link{op_zeros_like}()} \cr + +Other ops: \cr +\code{\link{op_abs}()} \cr +\code{\link{op_add}()} \cr +\code{\link{op_all}()} \cr +\code{\link{op_any}()} \cr +\code{\link{op_append}()} \cr +\code{\link{op_arange}()} \cr +\code{\link{op_arccos}()} \cr +\code{\link{op_arccosh}()} \cr +\code{\link{op_arcsin}()} \cr +\code{\link{op_arcsinh}()} \cr +\code{\link{op_arctan}()} \cr +\code{\link{op_arctan2}()} \cr +\code{\link{op_arctanh}()} \cr +\code{\link{op_argmax}()} \cr +\code{\link{op_argmin}()} \cr +\code{\link{op_argsort}()} \cr +\code{\link{op_array}()} \cr +\code{\link{op_average}()} \cr +\code{\link{op_average_pool}()} \cr +\code{\link{op_batch_normalization}()} \cr +\code{\link{op_binary_crossentropy}()} \cr +\code{\link{op_bincount}()} \cr +\code{\link{op_broadcast_to}()} \cr +\code{\link{op_cast}()} \cr +\code{\link{op_categorical_crossentropy}()} \cr +\code{\link{op_ceil}()} \cr +\code{\link{op_cholesky}()} \cr +\code{\link{op_clip}()} \cr +\code{\link{op_concatenate}()} \cr +\code{\link{op_cond}()} \cr +\code{\link{op_conj}()} \cr +\code{\link{op_conv}()} \cr +\code{\link{op_conv_transpose}()} \cr +\code{\link{op_convert_to_numpy}()} \cr +\code{\link{op_convert_to_tensor}()} \cr +\code{\link{op_copy}()} \cr +\code{\link{op_correlate}()} \cr +\code{\link{op_cos}()} \cr +\code{\link{op_cosh}()} \cr +\code{\link{op_count_nonzero}()} \cr +\code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr +\code{\link{op_ctc_loss}()} \cr +\code{\link{op_cumprod}()} \cr +\code{\link{op_cumsum}()} \cr +\code{\link{op_custom_gradient}()} \cr +\code{\link{op_depthwise_conv}()} \cr +\code{\link{op_det}()} \cr +\code{\link{op_diag}()} \cr +\code{\link{op_diagonal}()} \cr +\code{\link{op_diff}()} \cr +\code{\link{op_digitize}()} \cr +\code{\link{op_divide}()} \cr +\code{\link{op_divide_no_nan}()} \cr +\code{\link{op_dot}()} \cr +\code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr +\code{\link{op_einsum}()} \cr +\code{\link{op_elu}()} \cr +\code{\link{op_empty}()} \cr +\code{\link{op_equal}()} \cr +\code{\link{op_erf}()} \cr +\code{\link{op_erfinv}()} \cr +\code{\link{op_exp}()} \cr +\code{\link{op_expand_dims}()} \cr +\code{\link{op_expm1}()} \cr +\code{\link{op_extract_sequences}()} \cr +\code{\link{op_eye}()} \cr +\code{\link{op_fft}()} \cr +\code{\link{op_fft2}()} \cr +\code{\link{op_flip}()} \cr +\code{\link{op_floor}()} \cr +\code{\link{op_floor_divide}()} \cr +\code{\link{op_fori_loop}()} \cr +\code{\link{op_full}()} \cr +\code{\link{op_full_like}()} \cr +\code{\link{op_gelu}()} \cr +\code{\link{op_get_item}()} \cr +\code{\link{op_greater}()} \cr +\code{\link{op_greater_equal}()} \cr +\code{\link{op_hard_sigmoid}()} \cr +\code{\link{op_hard_silu}()} \cr +\code{\link{op_hstack}()} \cr +\code{\link{op_identity}()} \cr +\code{\link{op_imag}()} \cr +\code{\link{op_image_affine_transform}()} \cr +\code{\link{op_image_crop}()} \cr +\code{\link{op_image_extract_patches}()} \cr +\code{\link{op_image_map_coordinates}()} \cr +\code{\link{op_image_pad}()} \cr +\code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr +\code{\link{op_in_top_k}()} \cr +\code{\link{op_inv}()} \cr +\code{\link{op_irfft}()} \cr +\code{\link{op_is_tensor}()} \cr +\code{\link{op_isclose}()} \cr +\code{\link{op_isfinite}()} \cr +\code{\link{op_isinf}()} \cr +\code{\link{op_isnan}()} \cr +\code{\link{op_istft}()} \cr +\code{\link{op_leaky_relu}()} \cr +\code{\link{op_less}()} \cr +\code{\link{op_less_equal}()} \cr +\code{\link{op_linspace}()} \cr +\code{\link{op_log}()} \cr +\code{\link{op_log10}()} \cr +\code{\link{op_log1p}()} \cr +\code{\link{op_log2}()} \cr +\code{\link{op_log_sigmoid}()} \cr +\code{\link{op_log_softmax}()} \cr +\code{\link{op_logaddexp}()} \cr +\code{\link{op_logical_and}()} \cr +\code{\link{op_logical_not}()} \cr +\code{\link{op_logical_or}()} \cr +\code{\link{op_logical_xor}()} \cr +\code{\link{op_logspace}()} \cr +\code{\link{op_logsumexp}()} \cr +\code{\link{op_lu_factor}()} \cr +\code{\link{op_matmul}()} \cr +\code{\link{op_max}()} \cr +\code{\link{op_max_pool}()} \cr +\code{\link{op_maximum}()} \cr +\code{\link{op_mean}()} \cr +\code{\link{op_median}()} \cr +\code{\link{op_meshgrid}()} \cr +\code{\link{op_min}()} \cr +\code{\link{op_minimum}()} \cr +\code{\link{op_mod}()} \cr +\code{\link{op_moments}()} \cr +\code{\link{op_moveaxis}()} \cr +\code{\link{op_multi_hot}()} \cr +\code{\link{op_multiply}()} \cr +\code{\link{op_nan_to_num}()} \cr +\code{\link{op_ndim}()} \cr +\code{\link{op_negative}()} \cr +\code{\link{op_nonzero}()} \cr +\code{\link{op_norm}()} \cr +\code{\link{op_normalize}()} \cr +\code{\link{op_not_equal}()} \cr +\code{\link{op_one_hot}()} \cr +\code{\link{op_ones}()} \cr +\code{\link{op_ones_like}()} \cr +\code{\link{op_outer}()} \cr +\code{\link{op_pad}()} \cr +\code{\link{op_power}()} \cr +\code{\link{op_prod}()} \cr +\code{\link{op_qr}()} \cr +\code{\link{op_quantile}()} \cr +\code{\link{op_ravel}()} \cr +\code{\link{op_real}()} \cr +\code{\link{op_reciprocal}()} \cr +\code{\link{op_relu}()} \cr +\code{\link{op_relu6}()} \cr +\code{\link{op_repeat}()} \cr +\code{\link{op_reshape}()} \cr +\code{\link{op_rfft}()} \cr +\code{\link{op_roll}()} \cr +\code{\link{op_round}()} \cr +\code{\link{op_rsqrt}()} \cr +\code{\link{op_scatter}()} \cr +\code{\link{op_scatter_update}()} \cr +\code{\link{op_segment_max}()} \cr +\code{\link{op_segment_sum}()} \cr +\code{\link{op_selu}()} \cr +\code{\link{op_separable_conv}()} \cr +\code{\link{op_shape}()} \cr +\code{\link{op_sigmoid}()} \cr +\code{\link{op_sign}()} \cr +\code{\link{op_silu}()} \cr +\code{\link{op_sin}()} \cr +\code{\link{op_sinh}()} \cr +\code{\link{op_size}()} \cr +\code{\link{op_slice}()} \cr +\code{\link{op_slice_update}()} \cr +\code{\link{op_softmax}()} \cr +\code{\link{op_softplus}()} \cr +\code{\link{op_softsign}()} \cr +\code{\link{op_solve}()} \cr +\code{\link{op_solve_triangular}()} \cr +\code{\link{op_sort}()} \cr +\code{\link{op_sparse_categorical_crossentropy}()} \cr +\code{\link{op_split}()} \cr +\code{\link{op_sqrt}()} \cr +\code{\link{op_square}()} \cr +\code{\link{op_squeeze}()} \cr +\code{\link{op_stack}()} \cr +\code{\link{op_std}()} \cr +\code{\link{op_stft}()} \cr +\code{\link{op_stop_gradient}()} \cr +\code{\link{op_subtract}()} \cr +\code{\link{op_sum}()} \cr +\code{\link{op_svd}()} \cr +\code{\link{op_swapaxes}()} \cr +\code{\link{op_take}()} \cr +\code{\link{op_take_along_axis}()} \cr +\code{\link{op_tan}()} \cr +\code{\link{op_tanh}()} \cr +\code{\link{op_tensordot}()} \cr +\code{\link{op_tile}()} \cr +\code{\link{op_top_k}()} \cr +\code{\link{op_trace}()} \cr +\code{\link{op_transpose}()} \cr +\code{\link{op_tri}()} \cr +\code{\link{op_tril}()} \cr +\code{\link{op_triu}()} \cr +\code{\link{op_unstack}()} \cr +\code{\link{op_var}()} \cr +\code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr +\code{\link{op_vectorized_map}()} \cr +\code{\link{op_vstack}()} \cr +\code{\link{op_where}()} \cr +\code{\link{op_while_loop}()} \cr +\code{\link{op_zeros}()} \cr +\code{\link{op_zeros_like}()} \cr +} +\concept{numpy ops} +\concept{ops} diff --git a/man/op_selu.Rd b/man/op_selu.Rd index f36097be8..87e083500 100644 --- a/man/op_selu.Rd +++ b/man/op_selu.Rd @@ -106,6 +106,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -120,6 +121,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -154,6 +156,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -226,6 +229,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr \code{\link{op_sigmoid}()} \cr @@ -270,6 +274,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_separable_conv.Rd b/man/op_separable_conv.Rd index 75179974b..3c1f23e7b 100644 --- a/man/op_separable_conv.Rd +++ b/man/op_separable_conv.Rd @@ -136,6 +136,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -150,6 +151,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -184,6 +186,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -256,6 +259,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_shape}()} \cr \code{\link{op_sigmoid}()} \cr @@ -300,6 +304,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_shape.Rd b/man/op_shape.Rd index c10c8b2c9..b0aa0113c 100644 --- a/man/op_shape.Rd +++ b/man/op_shape.Rd @@ -97,6 +97,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -111,6 +112,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -145,6 +147,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -217,6 +220,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_sigmoid}()} \cr @@ -261,6 +265,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_sigmoid.Rd b/man/op_sigmoid.Rd index b81350b41..ba7cf891f 100644 --- a/man/op_sigmoid.Rd +++ b/man/op_sigmoid.Rd @@ -103,6 +103,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -117,6 +118,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -151,6 +153,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -223,6 +226,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -267,6 +271,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_sign.Rd b/man/op_sign.Rd index 715dec3e0..e6d025b4b 100644 --- a/man/op_sign.Rd +++ b/man/op_sign.Rd @@ -51,6 +51,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -125,6 +126,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr \code{\link{op_size}()} \cr @@ -151,6 +153,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -198,6 +201,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -212,6 +216,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -246,6 +251,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -318,6 +324,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -362,6 +369,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_silu.Rd b/man/op_silu.Rd index e468fbee3..bb24abfb9 100644 --- a/man/op_silu.Rd +++ b/man/op_silu.Rd @@ -111,6 +111,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -125,6 +126,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -159,6 +161,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -231,6 +234,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -275,6 +279,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_sin.Rd b/man/op_sin.Rd index 7fabfe802..e1180f96f 100644 --- a/man/op_sin.Rd +++ b/man/op_sin.Rd @@ -51,6 +51,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -125,6 +126,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sinh}()} \cr \code{\link{op_size}()} \cr @@ -151,6 +153,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -198,6 +201,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -212,6 +216,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -246,6 +251,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -318,6 +324,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -362,6 +369,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_sinh.Rd b/man/op_sinh.Rd index e9a5ede99..0f31c6aba 100644 --- a/man/op_sinh.Rd +++ b/man/op_sinh.Rd @@ -51,6 +51,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -125,6 +126,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_size}()} \cr @@ -151,6 +153,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -198,6 +201,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -212,6 +216,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -246,6 +251,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -318,6 +324,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -362,6 +369,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_size.Rd b/man/op_size.Rd index 8bf1f0349..8c21c65c2 100644 --- a/man/op_size.Rd +++ b/man/op_size.Rd @@ -51,6 +51,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -125,6 +126,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -151,6 +153,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -198,6 +201,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -212,6 +216,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -246,6 +251,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -318,6 +324,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -362,6 +369,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_slice.Rd b/man/op_slice.Rd index 007c8b548..1415135b8 100644 --- a/man/op_slice.Rd +++ b/man/op_slice.Rd @@ -111,6 +111,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -125,6 +126,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -159,6 +161,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -231,6 +234,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -275,6 +279,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_slice_update.Rd b/man/op_slice_update.Rd index 6321cb087..90336dcb8 100644 --- a/man/op_slice_update.Rd +++ b/man/op_slice_update.Rd @@ -108,6 +108,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -122,6 +123,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -156,6 +158,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -228,6 +231,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -272,6 +276,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_softmax.Rd b/man/op_softmax.Rd index 48fe2c9c5..9657e9644 100644 --- a/man/op_softmax.Rd +++ b/man/op_softmax.Rd @@ -112,6 +112,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -126,6 +127,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -160,6 +162,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -232,6 +235,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -276,6 +280,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_softplus.Rd b/man/op_softplus.Rd index c07107821..1438d9293 100644 --- a/man/op_softplus.Rd +++ b/man/op_softplus.Rd @@ -110,6 +110,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -124,6 +125,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -158,6 +160,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -230,6 +233,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -274,6 +278,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_softsign.Rd b/man/op_softsign.Rd index 9f56f0343..351f4f2ff 100644 --- a/man/op_softsign.Rd +++ b/man/op_softsign.Rd @@ -109,6 +109,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -123,6 +124,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -157,6 +159,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -229,6 +232,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -273,6 +277,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_solve.Rd b/man/op_solve.Rd index f113d68b1..52ecc9f02 100644 --- a/man/op_solve.Rd +++ b/man/op_solve.Rd @@ -93,6 +93,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -107,6 +108,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -141,6 +143,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -213,6 +216,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -257,6 +261,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_solve_triangular.Rd b/man/op_solve_triangular.Rd index 781a55c84..ea90b5a1e 100644 --- a/man/op_solve_triangular.Rd +++ b/man/op_solve_triangular.Rd @@ -27,6 +27,7 @@ Other linear algebra ops: \cr \code{\link{op_cholesky}()} \cr \code{\link{op_det}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_lu_factor}()} \cr \code{\link{op_norm}()} \cr @@ -74,6 +75,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -88,6 +90,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -122,6 +125,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -194,6 +198,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -238,6 +243,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_sort.Rd b/man/op_sort.Rd index 6c5d21e46..58a86e8e6 100644 --- a/man/op_sort.Rd +++ b/man/op_sort.Rd @@ -54,6 +54,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -128,6 +129,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -154,6 +156,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -201,6 +204,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -215,6 +219,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -249,6 +254,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -321,6 +327,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -365,6 +372,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_sparse_categorical_crossentropy.Rd b/man/op_sparse_categorical_crossentropy.Rd index 1c354c7bb..288eb0bc6 100644 --- a/man/op_sparse_categorical_crossentropy.Rd +++ b/man/op_sparse_categorical_crossentropy.Rd @@ -133,6 +133,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -147,6 +148,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -181,6 +183,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -253,6 +256,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -297,6 +301,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_split.Rd b/man/op_split.Rd index d00fe5bda..cf31b409d 100644 --- a/man/op_split.Rd +++ b/man/op_split.Rd @@ -63,6 +63,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -137,6 +138,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -163,6 +165,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -210,6 +213,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -224,6 +228,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -258,6 +263,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -330,6 +336,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -374,6 +381,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_sqrt.Rd b/man/op_sqrt.Rd index 304a4c925..657b61185 100644 --- a/man/op_sqrt.Rd +++ b/man/op_sqrt.Rd @@ -51,6 +51,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -125,6 +126,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -151,6 +153,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -198,6 +201,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -212,6 +216,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -246,6 +251,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -318,6 +324,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -362,6 +369,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_square.Rd b/man/op_square.Rd index cb1ff790b..bdaa8f67b 100644 --- a/man/op_square.Rd +++ b/man/op_square.Rd @@ -51,6 +51,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -125,6 +126,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -151,6 +153,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -198,6 +201,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -212,6 +216,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -246,6 +251,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -318,6 +324,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -362,6 +369,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_squeeze.Rd b/man/op_squeeze.Rd index 99e6f9ffb..90cf205ac 100644 --- a/man/op_squeeze.Rd +++ b/man/op_squeeze.Rd @@ -54,6 +54,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -128,6 +129,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -154,6 +156,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -201,6 +204,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -215,6 +219,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -249,6 +254,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -321,6 +327,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -365,6 +372,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_stack.Rd b/man/op_stack.Rd index a85784e3d..76a04723f 100644 --- a/man/op_stack.Rd +++ b/man/op_stack.Rd @@ -54,6 +54,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -128,6 +129,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -154,6 +156,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -201,6 +204,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -215,6 +219,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -249,6 +254,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -321,6 +327,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -365,6 +372,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_std.Rd b/man/op_std.Rd index 117be730d..c1eae40e7 100644 --- a/man/op_std.Rd +++ b/man/op_std.Rd @@ -58,6 +58,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -132,6 +133,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -158,6 +160,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -205,6 +208,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -219,6 +223,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -253,6 +258,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -325,6 +331,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -369,6 +376,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_stft.Rd b/man/op_stft.Rd index da3cdd92f..3c5d0ccc4 100644 --- a/man/op_stft.Rd +++ b/man/op_stft.Rd @@ -127,6 +127,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -141,6 +142,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -175,6 +177,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -247,6 +250,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -291,6 +295,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_stop_gradient.Rd b/man/op_stop_gradient.Rd index d5edf737a..94bfcc89e 100644 --- a/man/op_stop_gradient.Rd +++ b/man/op_stop_gradient.Rd @@ -86,6 +86,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -100,6 +101,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -134,6 +136,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -206,6 +209,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -250,6 +254,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_subtract.Rd b/man/op_subtract.Rd index a54a1d98a..10e454879 100644 --- a/man/op_subtract.Rd +++ b/man/op_subtract.Rd @@ -68,6 +68,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -142,6 +143,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -168,6 +170,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -215,6 +218,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -229,6 +233,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -263,6 +268,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -335,6 +341,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -379,6 +386,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_sum.Rd b/man/op_sum.Rd index 46e6f024d..eb4557b34 100644 --- a/man/op_sum.Rd +++ b/man/op_sum.Rd @@ -57,6 +57,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -131,6 +132,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -157,6 +159,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -204,6 +207,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -218,6 +222,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -252,6 +257,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -324,6 +330,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -368,6 +375,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_svd.Rd b/man/op_svd.Rd index 97b63a5a5..2b4ddbfa1 100644 --- a/man/op_svd.Rd +++ b/man/op_svd.Rd @@ -36,6 +36,7 @@ Other linear algebra ops: \cr \code{\link{op_cholesky}()} \cr \code{\link{op_det}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_lu_factor}()} \cr \code{\link{op_norm}()} \cr @@ -83,6 +84,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -97,6 +99,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -131,6 +134,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -203,6 +207,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -247,6 +252,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_swapaxes.Rd b/man/op_swapaxes.Rd index a8bb6fb24..b55383731 100644 --- a/man/op_swapaxes.Rd +++ b/man/op_swapaxes.Rd @@ -55,6 +55,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -129,6 +130,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -155,6 +157,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -202,6 +205,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -216,6 +220,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -250,6 +255,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -322,6 +328,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -366,6 +373,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_take.Rd b/man/op_take.Rd index 4c87fb9a7..e5dec3219 100644 --- a/man/op_take.Rd +++ b/man/op_take.Rd @@ -56,6 +56,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -130,6 +131,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -156,6 +158,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -203,6 +206,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -217,6 +221,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -251,6 +256,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -323,6 +329,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -367,6 +374,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_take_along_axis.Rd b/man/op_take_along_axis.Rd index 38ef95bb0..dd0886a59 100644 --- a/man/op_take_along_axis.Rd +++ b/man/op_take_along_axis.Rd @@ -56,6 +56,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -130,6 +131,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -156,6 +158,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -203,6 +206,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -217,6 +221,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -251,6 +256,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -323,6 +329,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -367,6 +374,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_tan.Rd b/man/op_tan.Rd index 510e39676..db471504c 100644 --- a/man/op_tan.Rd +++ b/man/op_tan.Rd @@ -51,6 +51,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -125,6 +126,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -151,6 +153,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -198,6 +201,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -212,6 +216,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -246,6 +251,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -318,6 +324,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -362,6 +369,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_tanh.Rd b/man/op_tanh.Rd index edf1f4728..5c58cc91c 100644 --- a/man/op_tanh.Rd +++ b/man/op_tanh.Rd @@ -51,6 +51,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -125,6 +126,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -151,6 +153,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -198,6 +201,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -212,6 +216,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -246,6 +251,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -318,6 +324,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -362,6 +369,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_tensordot.Rd b/man/op_tensordot.Rd index ec7309981..634fa3022 100644 --- a/man/op_tensordot.Rd +++ b/man/op_tensordot.Rd @@ -62,6 +62,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -136,6 +137,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -162,6 +164,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -209,6 +212,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -223,6 +227,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -257,6 +262,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -329,6 +335,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -373,6 +380,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_tile.Rd b/man/op_tile.Rd index a297b2588..2871b93a8 100644 --- a/man/op_tile.Rd +++ b/man/op_tile.Rd @@ -59,6 +59,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -133,6 +134,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -159,6 +161,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -206,6 +209,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -220,6 +224,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -254,6 +259,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -326,6 +332,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -370,6 +377,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_top_k.Rd b/man/op_top_k.Rd index 7d6393d8e..7620c3c04 100644 --- a/man/op_top_k.Rd +++ b/man/op_top_k.Rd @@ -116,6 +116,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -130,6 +131,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -164,6 +166,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -236,6 +239,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -280,6 +284,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_trace.Rd b/man/op_trace.Rd index b2be85f4d..21a5d1aeb 100644 --- a/man/op_trace.Rd +++ b/man/op_trace.Rd @@ -70,6 +70,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -144,6 +145,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -170,6 +172,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -217,6 +220,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -231,6 +235,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -265,6 +270,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -337,6 +343,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -381,6 +388,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_transpose.Rd b/man/op_transpose.Rd index c1dd733ee..09cbff68c 100644 --- a/man/op_transpose.Rd +++ b/man/op_transpose.Rd @@ -54,6 +54,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -128,6 +129,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -154,6 +156,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -201,6 +204,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -215,6 +219,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -249,6 +254,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -321,6 +327,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -365,6 +372,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_tri.Rd b/man/op_tri.Rd index ba402670d..6f30d56b5 100644 --- a/man/op_tri.Rd +++ b/man/op_tri.Rd @@ -60,6 +60,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -134,6 +135,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -160,6 +162,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -207,6 +210,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -221,6 +225,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -255,6 +260,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -327,6 +333,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -371,6 +378,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_tril.Rd b/man/op_tril.Rd index a855bf748..6d00893b9 100644 --- a/man/op_tril.Rd +++ b/man/op_tril.Rd @@ -55,6 +55,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -129,6 +130,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -155,6 +157,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -202,6 +205,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -216,6 +220,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -250,6 +255,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -322,6 +328,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -366,6 +373,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_triu.Rd b/man/op_triu.Rd index 6960a9aa2..0c7b9ef91 100644 --- a/man/op_triu.Rd +++ b/man/op_triu.Rd @@ -55,6 +55,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -129,6 +130,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -155,6 +157,7 @@ Other numpy ops: \cr \code{\link{op_tril}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -202,6 +205,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -216,6 +220,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -250,6 +255,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -322,6 +328,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -366,6 +373,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_unstack.Rd b/man/op_unstack.Rd index bdcc15838..67f8d19ea 100644 --- a/man/op_unstack.Rd +++ b/man/op_unstack.Rd @@ -127,6 +127,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -141,6 +142,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -175,6 +177,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -247,6 +250,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -291,6 +295,7 @@ Other ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_var.Rd b/man/op_var.Rd index f606c7c25..e01de98e1 100644 --- a/man/op_var.Rd +++ b/man/op_var.Rd @@ -57,6 +57,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -131,6 +132,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -157,6 +159,7 @@ Other numpy ops: \cr \code{\link{op_tril}()} \cr \code{\link{op_triu}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -204,6 +207,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -218,6 +222,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -252,6 +257,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -324,6 +330,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -368,6 +375,7 @@ Other ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_unstack}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_vdot.Rd b/man/op_vdot.Rd index 3fb577afc..de56eb5d1 100644 --- a/man/op_vdot.Rd +++ b/man/op_vdot.Rd @@ -57,6 +57,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -131,6 +132,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -157,6 +159,7 @@ Other numpy ops: \cr \code{\link{op_tril}()} \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -204,6 +207,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -218,6 +222,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -252,6 +257,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -324,6 +330,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -368,6 +375,7 @@ Other ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_vectorize.Rd b/man/op_vectorize.Rd new file mode 100644 index 000000000..7f302ac74 --- /dev/null +++ b/man/op_vectorize.Rd @@ -0,0 +1,408 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/ops.R +\name{op_vectorize} +\alias{op_vectorize} +\title{Turn a function into a vectorized function.} +\usage{ +op_vectorize(func, ..., excluded = NULL, signature = NULL) +} +\arguments{ +\item{func}{Callable of a single tensor argument.} + +\item{...}{For forward/backward compatability.} + +\item{excluded}{Optional set of integers representing +positional arguments for which the function +will not be vectorized. +These will be passed directly to \code{func} unmodified.} + +\item{signature}{Optional generalized universal function signature, +e.g., \code{"(m,n),(n)->(m)"} for vectorized +matrix-vector multiplication. If provided, +\code{func} will be called with (and expected to return) +arrays with shapes given by the size of corresponding +core dimensions. By default, \code{func} is assumed +to take scalar tensors as input and output.} +} +\value{ +A new function that applies \code{func} to every element +of its input along axis 1 (the batch axis, the first axis). +} +\description{ +Turn a function into a vectorized function. +} +\section{Examples}{ +\if{html}{\out{
}}\preformatted{# currently does not work w/ tensorflow backend +if(config_backend() != "tensorflow") \{ + + myfunc <- function(a, b) a + b + + vfunc <- op_vectorize(myfunc) + y <- vfunc(c(1, 2, 3, 4), 2) + print(y) + # with Jax backend, y is: + # Array([3., 4., 5., 6.], dtype=float32) +\} +}\if{html}{\out{
}} +} + +\seealso{ +Other numpy ops: \cr +\code{\link{op_abs}()} \cr +\code{\link{op_add}()} \cr +\code{\link{op_all}()} \cr +\code{\link{op_any}()} \cr +\code{\link{op_append}()} \cr +\code{\link{op_arange}()} \cr +\code{\link{op_arccos}()} \cr +\code{\link{op_arccosh}()} \cr +\code{\link{op_arcsin}()} \cr +\code{\link{op_arcsinh}()} \cr +\code{\link{op_arctan}()} \cr +\code{\link{op_arctan2}()} \cr +\code{\link{op_arctanh}()} \cr +\code{\link{op_argmax}()} \cr +\code{\link{op_argmin}()} \cr +\code{\link{op_argsort}()} \cr +\code{\link{op_array}()} \cr +\code{\link{op_average}()} \cr +\code{\link{op_bincount}()} \cr +\code{\link{op_broadcast_to}()} \cr +\code{\link{op_ceil}()} \cr +\code{\link{op_clip}()} \cr +\code{\link{op_concatenate}()} \cr +\code{\link{op_conj}()} \cr +\code{\link{op_copy}()} \cr +\code{\link{op_correlate}()} \cr +\code{\link{op_cos}()} \cr +\code{\link{op_cosh}()} \cr +\code{\link{op_count_nonzero}()} \cr +\code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr +\code{\link{op_cumprod}()} \cr +\code{\link{op_cumsum}()} \cr +\code{\link{op_diag}()} \cr +\code{\link{op_diagonal}()} \cr +\code{\link{op_diff}()} \cr +\code{\link{op_digitize}()} \cr +\code{\link{op_divide}()} \cr +\code{\link{op_divide_no_nan}()} \cr +\code{\link{op_dot}()} \cr +\code{\link{op_einsum}()} \cr +\code{\link{op_empty}()} \cr +\code{\link{op_equal}()} \cr +\code{\link{op_exp}()} \cr +\code{\link{op_expand_dims}()} \cr +\code{\link{op_expm1}()} \cr +\code{\link{op_eye}()} \cr +\code{\link{op_flip}()} \cr +\code{\link{op_floor}()} \cr +\code{\link{op_floor_divide}()} \cr +\code{\link{op_full}()} \cr +\code{\link{op_full_like}()} \cr +\code{\link{op_get_item}()} \cr +\code{\link{op_greater}()} \cr +\code{\link{op_greater_equal}()} \cr +\code{\link{op_hstack}()} \cr +\code{\link{op_identity}()} \cr +\code{\link{op_imag}()} \cr +\code{\link{op_isclose}()} \cr +\code{\link{op_isfinite}()} \cr +\code{\link{op_isinf}()} \cr +\code{\link{op_isnan}()} \cr +\code{\link{op_less}()} \cr +\code{\link{op_less_equal}()} \cr +\code{\link{op_linspace}()} \cr +\code{\link{op_log}()} \cr +\code{\link{op_log10}()} \cr +\code{\link{op_log1p}()} \cr +\code{\link{op_log2}()} \cr +\code{\link{op_logaddexp}()} \cr +\code{\link{op_logical_and}()} \cr +\code{\link{op_logical_not}()} \cr +\code{\link{op_logical_or}()} \cr +\code{\link{op_logical_xor}()} \cr +\code{\link{op_logspace}()} \cr +\code{\link{op_matmul}()} \cr +\code{\link{op_max}()} \cr +\code{\link{op_maximum}()} \cr +\code{\link{op_mean}()} \cr +\code{\link{op_median}()} \cr +\code{\link{op_meshgrid}()} \cr +\code{\link{op_min}()} \cr +\code{\link{op_minimum}()} \cr +\code{\link{op_mod}()} \cr +\code{\link{op_moveaxis}()} \cr +\code{\link{op_multiply}()} \cr +\code{\link{op_nan_to_num}()} \cr +\code{\link{op_ndim}()} \cr +\code{\link{op_negative}()} \cr +\code{\link{op_nonzero}()} \cr +\code{\link{op_not_equal}()} \cr +\code{\link{op_ones}()} \cr +\code{\link{op_ones_like}()} \cr +\code{\link{op_outer}()} \cr +\code{\link{op_pad}()} \cr +\code{\link{op_power}()} \cr +\code{\link{op_prod}()} \cr +\code{\link{op_quantile}()} \cr +\code{\link{op_ravel}()} \cr +\code{\link{op_real}()} \cr +\code{\link{op_reciprocal}()} \cr +\code{\link{op_repeat}()} \cr +\code{\link{op_reshape}()} \cr +\code{\link{op_roll}()} \cr +\code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr +\code{\link{op_sign}()} \cr +\code{\link{op_sin}()} \cr +\code{\link{op_sinh}()} \cr +\code{\link{op_size}()} \cr +\code{\link{op_sort}()} \cr +\code{\link{op_split}()} \cr +\code{\link{op_sqrt}()} \cr +\code{\link{op_square}()} \cr +\code{\link{op_squeeze}()} \cr +\code{\link{op_stack}()} \cr +\code{\link{op_std}()} \cr +\code{\link{op_subtract}()} \cr +\code{\link{op_sum}()} \cr +\code{\link{op_swapaxes}()} \cr +\code{\link{op_take}()} \cr +\code{\link{op_take_along_axis}()} \cr +\code{\link{op_tan}()} \cr +\code{\link{op_tanh}()} \cr +\code{\link{op_tensordot}()} \cr +\code{\link{op_tile}()} \cr +\code{\link{op_trace}()} \cr +\code{\link{op_transpose}()} \cr +\code{\link{op_tri}()} \cr +\code{\link{op_tril}()} \cr +\code{\link{op_triu}()} \cr +\code{\link{op_var}()} \cr +\code{\link{op_vdot}()} \cr +\code{\link{op_vstack}()} \cr +\code{\link{op_where}()} \cr +\code{\link{op_zeros}()} \cr +\code{\link{op_zeros_like}()} \cr + +Other ops: \cr +\code{\link{op_abs}()} \cr +\code{\link{op_add}()} \cr +\code{\link{op_all}()} \cr +\code{\link{op_any}()} \cr +\code{\link{op_append}()} \cr +\code{\link{op_arange}()} \cr +\code{\link{op_arccos}()} \cr +\code{\link{op_arccosh}()} \cr +\code{\link{op_arcsin}()} \cr +\code{\link{op_arcsinh}()} \cr +\code{\link{op_arctan}()} \cr +\code{\link{op_arctan2}()} \cr +\code{\link{op_arctanh}()} \cr +\code{\link{op_argmax}()} \cr +\code{\link{op_argmin}()} \cr +\code{\link{op_argsort}()} \cr +\code{\link{op_array}()} \cr +\code{\link{op_average}()} \cr +\code{\link{op_average_pool}()} \cr +\code{\link{op_batch_normalization}()} \cr +\code{\link{op_binary_crossentropy}()} \cr +\code{\link{op_bincount}()} \cr +\code{\link{op_broadcast_to}()} \cr +\code{\link{op_cast}()} \cr +\code{\link{op_categorical_crossentropy}()} \cr +\code{\link{op_ceil}()} \cr +\code{\link{op_cholesky}()} \cr +\code{\link{op_clip}()} \cr +\code{\link{op_concatenate}()} \cr +\code{\link{op_cond}()} \cr +\code{\link{op_conj}()} \cr +\code{\link{op_conv}()} \cr +\code{\link{op_conv_transpose}()} \cr +\code{\link{op_convert_to_numpy}()} \cr +\code{\link{op_convert_to_tensor}()} \cr +\code{\link{op_copy}()} \cr +\code{\link{op_correlate}()} \cr +\code{\link{op_cos}()} \cr +\code{\link{op_cosh}()} \cr +\code{\link{op_count_nonzero}()} \cr +\code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr +\code{\link{op_ctc_loss}()} \cr +\code{\link{op_cumprod}()} \cr +\code{\link{op_cumsum}()} \cr +\code{\link{op_custom_gradient}()} \cr +\code{\link{op_depthwise_conv}()} \cr +\code{\link{op_det}()} \cr +\code{\link{op_diag}()} \cr +\code{\link{op_diagonal}()} \cr +\code{\link{op_diff}()} \cr +\code{\link{op_digitize}()} \cr +\code{\link{op_divide}()} \cr +\code{\link{op_divide_no_nan}()} \cr +\code{\link{op_dot}()} \cr +\code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr +\code{\link{op_einsum}()} \cr +\code{\link{op_elu}()} \cr +\code{\link{op_empty}()} \cr +\code{\link{op_equal}()} \cr +\code{\link{op_erf}()} \cr +\code{\link{op_erfinv}()} \cr +\code{\link{op_exp}()} \cr +\code{\link{op_expand_dims}()} \cr +\code{\link{op_expm1}()} \cr +\code{\link{op_extract_sequences}()} \cr +\code{\link{op_eye}()} \cr +\code{\link{op_fft}()} \cr +\code{\link{op_fft2}()} \cr +\code{\link{op_flip}()} \cr +\code{\link{op_floor}()} \cr +\code{\link{op_floor_divide}()} \cr +\code{\link{op_fori_loop}()} \cr +\code{\link{op_full}()} \cr +\code{\link{op_full_like}()} \cr +\code{\link{op_gelu}()} \cr +\code{\link{op_get_item}()} \cr +\code{\link{op_greater}()} \cr +\code{\link{op_greater_equal}()} \cr +\code{\link{op_hard_sigmoid}()} \cr +\code{\link{op_hard_silu}()} \cr +\code{\link{op_hstack}()} \cr +\code{\link{op_identity}()} \cr +\code{\link{op_imag}()} \cr +\code{\link{op_image_affine_transform}()} \cr +\code{\link{op_image_crop}()} \cr +\code{\link{op_image_extract_patches}()} \cr +\code{\link{op_image_map_coordinates}()} \cr +\code{\link{op_image_pad}()} \cr +\code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr +\code{\link{op_in_top_k}()} \cr +\code{\link{op_inv}()} \cr +\code{\link{op_irfft}()} \cr +\code{\link{op_is_tensor}()} \cr +\code{\link{op_isclose}()} \cr +\code{\link{op_isfinite}()} \cr +\code{\link{op_isinf}()} \cr +\code{\link{op_isnan}()} \cr +\code{\link{op_istft}()} \cr +\code{\link{op_leaky_relu}()} \cr +\code{\link{op_less}()} \cr +\code{\link{op_less_equal}()} \cr +\code{\link{op_linspace}()} \cr +\code{\link{op_log}()} \cr +\code{\link{op_log10}()} \cr +\code{\link{op_log1p}()} \cr +\code{\link{op_log2}()} \cr +\code{\link{op_log_sigmoid}()} \cr +\code{\link{op_log_softmax}()} \cr +\code{\link{op_logaddexp}()} \cr +\code{\link{op_logical_and}()} \cr +\code{\link{op_logical_not}()} \cr +\code{\link{op_logical_or}()} \cr +\code{\link{op_logical_xor}()} \cr +\code{\link{op_logspace}()} \cr +\code{\link{op_logsumexp}()} \cr +\code{\link{op_lu_factor}()} \cr +\code{\link{op_matmul}()} \cr +\code{\link{op_max}()} \cr +\code{\link{op_max_pool}()} \cr +\code{\link{op_maximum}()} \cr +\code{\link{op_mean}()} \cr +\code{\link{op_median}()} \cr +\code{\link{op_meshgrid}()} \cr +\code{\link{op_min}()} \cr +\code{\link{op_minimum}()} \cr +\code{\link{op_mod}()} \cr +\code{\link{op_moments}()} \cr +\code{\link{op_moveaxis}()} \cr +\code{\link{op_multi_hot}()} \cr +\code{\link{op_multiply}()} \cr +\code{\link{op_nan_to_num}()} \cr +\code{\link{op_ndim}()} \cr +\code{\link{op_negative}()} \cr +\code{\link{op_nonzero}()} \cr +\code{\link{op_norm}()} \cr +\code{\link{op_normalize}()} \cr +\code{\link{op_not_equal}()} \cr +\code{\link{op_one_hot}()} \cr +\code{\link{op_ones}()} \cr +\code{\link{op_ones_like}()} \cr +\code{\link{op_outer}()} \cr +\code{\link{op_pad}()} \cr +\code{\link{op_power}()} \cr +\code{\link{op_prod}()} \cr +\code{\link{op_qr}()} \cr +\code{\link{op_quantile}()} \cr +\code{\link{op_ravel}()} \cr +\code{\link{op_real}()} \cr +\code{\link{op_reciprocal}()} \cr +\code{\link{op_relu}()} \cr +\code{\link{op_relu6}()} \cr +\code{\link{op_repeat}()} \cr +\code{\link{op_reshape}()} \cr +\code{\link{op_rfft}()} \cr +\code{\link{op_roll}()} \cr +\code{\link{op_round}()} \cr +\code{\link{op_rsqrt}()} \cr +\code{\link{op_scatter}()} \cr +\code{\link{op_scatter_update}()} \cr +\code{\link{op_segment_max}()} \cr +\code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr +\code{\link{op_selu}()} \cr +\code{\link{op_separable_conv}()} \cr +\code{\link{op_shape}()} \cr +\code{\link{op_sigmoid}()} \cr +\code{\link{op_sign}()} \cr +\code{\link{op_silu}()} \cr +\code{\link{op_sin}()} \cr +\code{\link{op_sinh}()} \cr +\code{\link{op_size}()} \cr +\code{\link{op_slice}()} \cr +\code{\link{op_slice_update}()} \cr +\code{\link{op_softmax}()} \cr +\code{\link{op_softplus}()} \cr +\code{\link{op_softsign}()} \cr +\code{\link{op_solve}()} \cr +\code{\link{op_solve_triangular}()} \cr +\code{\link{op_sort}()} \cr +\code{\link{op_sparse_categorical_crossentropy}()} \cr +\code{\link{op_split}()} \cr +\code{\link{op_sqrt}()} \cr +\code{\link{op_square}()} \cr +\code{\link{op_squeeze}()} \cr +\code{\link{op_stack}()} \cr +\code{\link{op_std}()} \cr +\code{\link{op_stft}()} \cr +\code{\link{op_stop_gradient}()} \cr +\code{\link{op_subtract}()} \cr +\code{\link{op_sum}()} \cr +\code{\link{op_svd}()} \cr +\code{\link{op_swapaxes}()} \cr +\code{\link{op_take}()} \cr +\code{\link{op_take_along_axis}()} \cr +\code{\link{op_tan}()} \cr +\code{\link{op_tanh}()} \cr +\code{\link{op_tensordot}()} \cr +\code{\link{op_tile}()} \cr +\code{\link{op_top_k}()} \cr +\code{\link{op_trace}()} \cr +\code{\link{op_transpose}()} \cr +\code{\link{op_tri}()} \cr +\code{\link{op_tril}()} \cr +\code{\link{op_triu}()} \cr +\code{\link{op_unstack}()} \cr +\code{\link{op_var}()} \cr +\code{\link{op_vdot}()} \cr +\code{\link{op_vectorized_map}()} \cr +\code{\link{op_vstack}()} \cr +\code{\link{op_where}()} \cr +\code{\link{op_while_loop}()} \cr +\code{\link{op_zeros}()} \cr +\code{\link{op_zeros_like}()} \cr +} +\concept{numpy ops} +\concept{ops} diff --git a/man/op_vectorized_map.Rd b/man/op_vectorized_map.Rd index 3050137a1..a07e423ae 100644 --- a/man/op_vectorized_map.Rd +++ b/man/op_vectorized_map.Rd @@ -286,6 +286,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -300,6 +301,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -334,6 +336,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -406,6 +409,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -451,6 +455,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_while_loop}()} \cr diff --git a/man/op_vstack.Rd b/man/op_vstack.Rd index 75ada9021..9338f7939 100644 --- a/man/op_vstack.Rd +++ b/man/op_vstack.Rd @@ -51,6 +51,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -125,6 +126,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -152,6 +154,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr \code{\link{op_zeros_like}()} \cr @@ -198,6 +201,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -212,6 +216,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -246,6 +251,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -318,6 +324,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -363,6 +370,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_where}()} \cr \code{\link{op_while_loop}()} \cr diff --git a/man/op_where.Rd b/man/op_where.Rd index 5a67ba3b1..5f62cca92 100644 --- a/man/op_where.Rd +++ b/man/op_where.Rd @@ -56,6 +56,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -130,6 +131,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -157,6 +159,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_zeros}()} \cr \code{\link{op_zeros_like}()} \cr @@ -203,6 +206,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -217,6 +221,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -251,6 +256,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -323,6 +329,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -368,6 +375,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_while_loop}()} \cr diff --git a/man/op_while_loop.Rd b/man/op_while_loop.Rd index fb8b1f4e1..4aafa0c3e 100644 --- a/man/op_while_loop.Rd +++ b/man/op_while_loop.Rd @@ -128,6 +128,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -142,6 +143,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -176,6 +178,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -248,6 +251,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -293,6 +297,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_zeros.Rd b/man/op_zeros.Rd index 4550a44d0..1b68ce641 100644 --- a/man/op_zeros.Rd +++ b/man/op_zeros.Rd @@ -53,6 +53,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -127,6 +128,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -154,6 +156,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros_like}()} \cr @@ -200,6 +203,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -214,6 +218,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -248,6 +253,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -320,6 +326,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -365,6 +372,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/op_zeros_like.Rd b/man/op_zeros_like.Rd index 6bf026289..1e80de717 100644 --- a/man/op_zeros_like.Rd +++ b/man/op_zeros_like.Rd @@ -53,6 +53,7 @@ Other numpy ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr \code{\link{op_diag}()} \cr @@ -127,6 +128,7 @@ Other numpy ops: \cr \code{\link{op_reshape}()} \cr \code{\link{op_roll}()} \cr \code{\link{op_round}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_sign}()} \cr \code{\link{op_sin}()} \cr \code{\link{op_sinh}()} \cr @@ -154,6 +156,7 @@ Other numpy ops: \cr \code{\link{op_triu}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr \code{\link{op_zeros}()} \cr @@ -200,6 +203,7 @@ Other ops: \cr \code{\link{op_cosh}()} \cr \code{\link{op_count_nonzero}()} \cr \code{\link{op_cross}()} \cr +\code{\link{op_ctc_decode}()} \cr \code{\link{op_ctc_loss}()} \cr \code{\link{op_cumprod}()} \cr \code{\link{op_cumsum}()} \cr @@ -214,6 +218,7 @@ Other ops: \cr \code{\link{op_divide_no_nan}()} \cr \code{\link{op_dot}()} \cr \code{\link{op_eig}()} \cr +\code{\link{op_eigh}()} \cr \code{\link{op_einsum}()} \cr \code{\link{op_elu}()} \cr \code{\link{op_empty}()} \cr @@ -248,6 +253,7 @@ Other ops: \cr \code{\link{op_image_map_coordinates}()} \cr \code{\link{op_image_pad}()} \cr \code{\link{op_image_resize}()} \cr +\code{\link{op_image_rgb_to_grayscale}()} \cr \code{\link{op_in_top_k}()} \cr \code{\link{op_inv}()} \cr \code{\link{op_irfft}()} \cr @@ -320,6 +326,7 @@ Other ops: \cr \code{\link{op_scatter_update}()} \cr \code{\link{op_segment_max}()} \cr \code{\link{op_segment_sum}()} \cr +\code{\link{op_select}()} \cr \code{\link{op_selu}()} \cr \code{\link{op_separable_conv}()} \cr \code{\link{op_shape}()} \cr @@ -365,6 +372,7 @@ Other ops: \cr \code{\link{op_unstack}()} \cr \code{\link{op_var}()} \cr \code{\link{op_vdot}()} \cr +\code{\link{op_vectorize}()} \cr \code{\link{op_vectorized_map}()} \cr \code{\link{op_vstack}()} \cr \code{\link{op_where}()} \cr diff --git a/man/optimizer_rmsprop.Rd b/man/optimizer_rmsprop.Rd index a486f7620..b7d7d7542 100644 --- a/man/optimizer_rmsprop.Rd +++ b/man/optimizer_rmsprop.Rd @@ -16,7 +16,7 @@ optimizer_rmsprop( global_clipnorm = NULL, use_ema = FALSE, ema_momentum = 0.99, - ema_overwrite_frequency = 100L, + ema_overwrite_frequency = NULL, name = "rmsprop", ..., loss_scale_factor = NULL, diff --git a/man/random_seed_generator.Rd b/man/random_seed_generator.Rd index 61e6e7b24..9ae884e45 100644 --- a/man/random_seed_generator.Rd +++ b/man/random_seed_generator.Rd @@ -4,11 +4,13 @@ \alias{random_seed_generator} \title{Generates variable seeds upon each call to a RNG-using function.} \usage{ -random_seed_generator(seed = NULL, ...) +random_seed_generator(seed = NULL, name = NULL, ...) } \arguments{ \item{seed}{Initial seed for the random number generator} +\item{name}{String, name for the object} + \item{...}{For forward/backward compatability.} } \value{ From c7c92036f5f6a518a0b48c8263164d58cb662d90 Mon Sep 17 00:00:00 2001 From: Tomasz Kalinowski Date: Tue, 23 Apr 2024 13:47:00 -0400 Subject: [PATCH 33/38] rebuild website --- docs/404.html | 10 +- docs/LICENSE-text.html | 8 +- .../custom_train_step_in_tensorflow.html | 10 +- .../distributed_training_with_tensorflow.html | 10 +- docs/articles/distribution.html | 10 +- docs/articles/examples/index.html | 10 +- .../nlp/text_classification_from_scratch.html | 10 +- .../imbalanced_classification.html | 10 +- ...ata_classification_with_feature_space.html | 10 +- ...imeseries_classification_from_scratch.html | 10 +- .../articles/examples/vision/autoencoder.html | 10 +- 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docs/reference/op_ctc_decode.html create mode 100644 docs/reference/op_eigh.html create mode 100644 docs/reference/op_image_rgb_to_grayscale.html create mode 100644 docs/reference/op_select.html create mode 100644 docs/reference/op_vectorize.html diff --git a/docs/404.html b/docs/404.html index 273859b60..be1d0c17e 100644 --- a/docs/404.html +++ b/docs/404.html @@ -16,7 +16,7 @@ - + License • keras3License • keras3 @@ -10,7 +10,7 @@ keras3 - 0.1.0.9000 + 0.2.0.9000
diff --git a/docs/articles/custom_train_step_in_tensorflow.html b/docs/articles/custom_train_step_in_tensorflow.html index d31cf22af..461a40d5d 100644 --- a/docs/articles/custom_train_step_in_tensorflow.html +++ b/docs/articles/custom_train_step_in_tensorflow.html @@ -17,7 +17,7 @@ - + - + - + - + - + - + - + - + - + - + - + - + - + Articles • keras3Articles • keras3 @@ -10,7 +10,7 @@ keras3 - 0.1.0.9000 + 0.2.0.9000
@@ -134,11 +134,11 @@

Citation

-

Developed by Tomasz Kalinowski, JJ Allaire, François Chollet, Posit Software, PBC, Google.

+

Developed by Tomasz Kalinowski, JJ Allaire, François Chollet, Posit Software, PBC, Google.

-

Site built with pkgdown 2.0.8.

+

Site built with pkgdown 2.0.9.

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reduce){.btn{transition:none}}.btn:hover{color:var(--bs-btn-hover-color);background-color:var(--bs-btn-hover-bg);border-color:var(--bs-btn-hover-border-color)}.btn-check+.btn:hover{color:var(--bs-btn-color);background-color:var(--bs-btn-bg);border-color:var(--bs-btn-border-color)}.btn:focus-visible{color:var(--bs-btn-hover-color);background-color:var(--bs-btn-hover-bg);border-color:var(--bs-btn-hover-border-color);outline:0;box-shadow:var(--bs-btn-focus-box-shadow)}.btn-check:focus-visible+.btn{border-color:var(--bs-btn-hover-border-color);outline:0;box-shadow:var(--bs-btn-focus-box-shadow)}.btn-check:checked+.btn,:not(.btn-check)+.btn:active,.btn:first-child:active,.btn.active,.btn.show{color:var(--bs-btn-active-color);background-color:var(--bs-btn-active-bg);border-color:var(--bs-btn-active-border-color)}.btn-check:checked+.btn:focus-visible,:not(.btn-check)+.btn:active:focus-visible,.btn:first-child:active:focus-visible,.btn.active:focus-visible,.btn.show:focus-visible{box-shadow:var(--bs-btn-focus-box-shadow)}.btn:disabled,.btn.disabled,fieldset:disabled 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#fff;--bs-btn-disabled-bg: #198754;--bs-btn-disabled-border-color: #198754}.btn-info{--bs-btn-color: #000;--bs-btn-bg: #0dcaf0;--bs-btn-border-color: #0dcaf0;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #31d2f2;--bs-btn-hover-border-color: #25cff2;--bs-btn-focus-shadow-rgb: 11,172,204;--bs-btn-active-color: #000;--bs-btn-active-bg: #3dd5f3;--bs-btn-active-border-color: #25cff2;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #000;--bs-btn-disabled-bg: #0dcaf0;--bs-btn-disabled-border-color: #0dcaf0}.btn-warning{--bs-btn-color: #000;--bs-btn-bg: #ffc107;--bs-btn-border-color: #ffc107;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #ffca2c;--bs-btn-hover-border-color: #ffc720;--bs-btn-focus-shadow-rgb: 217,164,6;--bs-btn-active-color: #000;--bs-btn-active-bg: #ffcd39;--bs-btn-active-border-color: #ffc720;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #000;--bs-btn-disabled-bg: #ffc107;--bs-btn-disabled-border-color: 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#BF281B;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #BF281B;--bs-btn-hover-border-color: #BF281B;--bs-btn-focus-shadow-rgb: 191,40,27;--bs-btn-active-color: #fff;--bs-btn-active-bg: #BF281B;--bs-btn-active-border-color: #BF281B;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #BF281B;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #BF281B;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-secondary{--bs-btn-color: #6c757d;--bs-btn-border-color: #6c757d;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #6c757d;--bs-btn-hover-border-color: #6c757d;--bs-btn-focus-shadow-rgb: 108,117,125;--bs-btn-active-color: #fff;--bs-btn-active-bg: #6c757d;--bs-btn-active-border-color: #6c757d;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #6c757d;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #6c757d;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-success{--bs-btn-color: #198754;--bs-btn-border-color: #198754;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #198754;--bs-btn-hover-border-color: #198754;--bs-btn-focus-shadow-rgb: 25,135,84;--bs-btn-active-color: #fff;--bs-btn-active-bg: #198754;--bs-btn-active-border-color: #198754;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #198754;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #198754;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-info{--bs-btn-color: #0dcaf0;--bs-btn-border-color: #0dcaf0;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #0dcaf0;--bs-btn-hover-border-color: #0dcaf0;--bs-btn-focus-shadow-rgb: 13,202,240;--bs-btn-active-color: #000;--bs-btn-active-bg: #0dcaf0;--bs-btn-active-border-color: #0dcaf0;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #0dcaf0;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #0dcaf0;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-warning{--bs-btn-color: #ffc107;--bs-btn-border-color: #ffc107;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #ffc107;--bs-btn-hover-border-color: #ffc107;--bs-btn-focus-shadow-rgb: 255,193,7;--bs-btn-active-color: #000;--bs-btn-active-bg: #ffc107;--bs-btn-active-border-color: #ffc107;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #ffc107;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #ffc107;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-danger{--bs-btn-color: #dc3545;--bs-btn-border-color: #dc3545;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #dc3545;--bs-btn-hover-border-color: #dc3545;--bs-btn-focus-shadow-rgb: 220,53,69;--bs-btn-active-color: #fff;--bs-btn-active-bg: #dc3545;--bs-btn-active-border-color: #dc3545;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #dc3545;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #dc3545;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-light{--bs-btn-color: #f8f9fa;--bs-btn-border-color: #f8f9fa;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #f8f9fa;--bs-btn-hover-border-color: #f8f9fa;--bs-btn-focus-shadow-rgb: 248,249,250;--bs-btn-active-color: #000;--bs-btn-active-bg: #f8f9fa;--bs-btn-active-border-color: #f8f9fa;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #f8f9fa;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #f8f9fa;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-dark{--bs-btn-color: #212529;--bs-btn-border-color: #212529;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #212529;--bs-btn-hover-border-color: #212529;--bs-btn-focus-shadow-rgb: 33,37,41;--bs-btn-active-color: #fff;--bs-btn-active-bg: #212529;--bs-btn-active-border-color: #212529;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #212529;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #212529;--bs-btn-bg: transparent;--bs-gradient: none}.btn-link{--bs-btn-font-weight: 400;--bs-btn-color: var(--bs-link-color);--bs-btn-bg: transparent;--bs-btn-border-color: transparent;--bs-btn-hover-color: var(--bs-link-hover-color);--bs-btn-hover-border-color: transparent;--bs-btn-active-color: var(--bs-link-hover-color);--bs-btn-active-border-color: transparent;--bs-btn-disabled-color: #6c757d;--bs-btn-disabled-border-color: transparent;--bs-btn-box-shadow: 0 0 0 #000;--bs-btn-focus-shadow-rgb: 201,72,61;text-decoration:underline;-webkit-text-decoration:underline;-moz-text-decoration:underline;-ms-text-decoration:underline;-o-text-decoration:underline}.btn-link:focus-visible{color:var(--bs-btn-color)}.btn-link:hover{color:var(--bs-btn-hover-color)}.btn-lg,.btn-group-lg>.btn{--bs-btn-padding-y: .5rem;--bs-btn-padding-x: 1rem;--bs-btn-font-size:1.25rem;--bs-btn-border-radius: var(--bs-border-radius-lg)}.btn-sm,.btn-group-sm>.btn{--bs-btn-padding-y: .25rem;--bs-btn-padding-x: 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10rem;--bs-dropdown-padding-x: 0;--bs-dropdown-padding-y: .5rem;--bs-dropdown-spacer: .125rem;--bs-dropdown-font-size:1rem;--bs-dropdown-color: var(--bs-body-color);--bs-dropdown-bg: var(--bs-body-bg);--bs-dropdown-border-color: var(--bs-border-color-translucent);--bs-dropdown-border-radius: var(--bs-border-radius);--bs-dropdown-border-width: var(--bs-border-width);--bs-dropdown-inner-border-radius: calc(var(--bs-border-radius) - var(--bs-border-width));--bs-dropdown-divider-bg: var(--bs-border-color-translucent);--bs-dropdown-divider-margin-y: .5rem;--bs-dropdown-box-shadow: 0 0.5rem 1rem rgba(0,0,0,0.15);--bs-dropdown-link-color: var(--bs-body-color);--bs-dropdown-link-hover-color: var(--bs-body-color);--bs-dropdown-link-hover-bg: var(--bs-tertiary-bg);--bs-dropdown-link-active-color: #fff;--bs-dropdown-link-active-bg: #BF281B;--bs-dropdown-link-disabled-color: var(--bs-tertiary-color);--bs-dropdown-item-padding-x: 1rem;--bs-dropdown-item-padding-y: .25rem;--bs-dropdown-header-color: #6c757d;--bs-dropdown-header-padding-x: 1rem;--bs-dropdown-header-padding-y: .5rem;position:absolute;z-index:var(--bs-dropdown-zindex);display:none;min-width:var(--bs-dropdown-min-width);padding:var(--bs-dropdown-padding-y) var(--bs-dropdown-padding-x);margin:0;font-size:var(--bs-dropdown-font-size);color:var(--bs-dropdown-color);text-align:left;list-style:none;background-color:var(--bs-dropdown-bg);background-clip:padding-box;border:var(--bs-dropdown-border-width) solid var(--bs-dropdown-border-color);border-radius:var(--bs-dropdown-border-radius)}.dropdown-menu[data-bs-popper]{top:100%;left:0;margin-top:var(--bs-dropdown-spacer)}.dropdown-menu-start{--bs-position: start}.dropdown-menu-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-end{--bs-position: end}.dropdown-menu-end[data-bs-popper]{right:0;left:auto}@media (min-width: 576px){.dropdown-menu-sm-start{--bs-position: start}.dropdown-menu-sm-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-sm-end{--bs-position: end}.dropdown-menu-sm-end[data-bs-popper]{right:0;left:auto}}@media (min-width: 768px){.dropdown-menu-md-start{--bs-position: start}.dropdown-menu-md-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-md-end{--bs-position: end}.dropdown-menu-md-end[data-bs-popper]{right:0;left:auto}}@media (min-width: 992px){.dropdown-menu-lg-start{--bs-position: start}.dropdown-menu-lg-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-lg-end{--bs-position: end}.dropdown-menu-lg-end[data-bs-popper]{right:0;left:auto}}@media (min-width: 1200px){.dropdown-menu-xl-start{--bs-position: start}.dropdown-menu-xl-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-xl-end{--bs-position: end}.dropdown-menu-xl-end[data-bs-popper]{right:0;left:auto}}@media (min-width: 1400px){.dropdown-menu-xxl-start{--bs-position: start}.dropdown-menu-xxl-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-xxl-end{--bs-position: end}.dropdown-menu-xxl-end[data-bs-popper]{right:0;left:auto}}.dropup 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var(--bs-dropdown-header-padding-x);margin-bottom:0;font-size:.875rem;color:var(--bs-dropdown-header-color);white-space:nowrap}.dropdown-item-text{display:block;padding:var(--bs-dropdown-item-padding-y) var(--bs-dropdown-item-padding-x);color:var(--bs-dropdown-link-color)}.dropdown-menu-dark{--bs-dropdown-color: #dee2e6;--bs-dropdown-bg: #343a40;--bs-dropdown-border-color: var(--bs-border-color-translucent);--bs-dropdown-box-shadow: ;--bs-dropdown-link-color: #dee2e6;--bs-dropdown-link-hover-color: #fff;--bs-dropdown-divider-bg: var(--bs-border-color-translucent);--bs-dropdown-link-hover-bg: rgba(255,255,255,0.15);--bs-dropdown-link-active-color: #fff;--bs-dropdown-link-active-bg: #BF281B;--bs-dropdown-link-disabled-color: #adb5bd;--bs-dropdown-header-color: #adb5bd}.btn-group,.btn-group-vertical{position:relative;display:inline-flex;vertical-align:middle}.btn-group>.btn,.btn-group-vertical>.btn{position:relative;flex:1 1 auto;-webkit-flex:1 1 auto}.btn-group>.btn-check:checked+.btn,.btn-group>.btn-check:focus+.btn,.btn-group>.btn:hover,.btn-group>.btn:focus,.btn-group>.btn:active,.btn-group>.btn.active,.btn-group-vertical>.btn-check:checked+.btn,.btn-group-vertical>.btn-check:focus+.btn,.btn-group-vertical>.btn:hover,.btn-group-vertical>.btn:focus,.btn-group-vertical>.btn:active,.btn-group-vertical>.btn.active{z-index:1}.btn-toolbar{display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;justify-content:flex-start;-webkit-justify-content:flex-start}.btn-toolbar .input-group{width:auto}.btn-group{border-radius:var(--bs-border-radius)}.btn-group>:not(.btn-check:first-child)+.btn,.btn-group>.btn-group:not(:first-child){margin-left:calc(var(--bs-border-width) * -1)}.btn-group>.btn:not(:last-child):not(.dropdown-toggle),.btn-group>.btn.dropdown-toggle-split:first-child,.btn-group>.btn-group:not(:last-child)>.btn{border-top-right-radius:0;border-bottom-right-radius:0}.btn-group>.btn:nth-child(n + 3),.btn-group>:not(.btn-check)+.btn,.btn-group>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-bottom-left-radius:0}.dropdown-toggle-split{padding-right:.5625rem;padding-left:.5625rem}.dropdown-toggle-split::after,.dropup .dropdown-toggle-split::after,.dropend .dropdown-toggle-split::after{margin-left:0}.dropstart .dropdown-toggle-split::before{margin-right:0}.btn-sm+.dropdown-toggle-split,.btn-group-sm>.btn+.dropdown-toggle-split{padding-right:.375rem;padding-left:.375rem}.btn-lg+.dropdown-toggle-split,.btn-group-lg>.btn+.dropdown-toggle-split{padding-right:.75rem;padding-left:.75rem}.btn-group-vertical{flex-direction:column;-webkit-flex-direction:column;align-items:flex-start;-webkit-align-items:flex-start;justify-content:center;-webkit-justify-content:center}.btn-group-vertical>.btn,.btn-group-vertical>.btn-group{width:100%}.btn-group-vertical>.btn:not(:first-child),.btn-group-vertical>.btn-group:not(:first-child){margin-top:calc(var(--bs-border-width) * -1)}.btn-group-vertical>.btn:not(:last-child):not(.dropdown-toggle),.btn-group-vertical>.btn-group:not(:last-child)>.btn{border-bottom-right-radius:0;border-bottom-left-radius:0}.btn-group-vertical>.btn~.btn,.btn-group-vertical>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-top-right-radius:0}.nav{--bs-nav-link-padding-x: 1rem;--bs-nav-link-padding-y: .5rem;--bs-nav-link-font-weight: ;--bs-nav-link-color: var(--bs-link-color);--bs-nav-link-hover-color: var(--bs-link-hover-color);--bs-nav-link-disabled-color: var(--bs-secondary-color);display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;padding-left:0;margin-bottom:0;list-style:none}.nav-link{display:block;padding:var(--bs-nav-link-padding-y) var(--bs-nav-link-padding-x);font-size:var(--bs-nav-link-font-size);font-weight:var(--bs-nav-link-font-weight);color:var(--bs-nav-link-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background:none;border:0;transition:color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.nav-link{transition:none}}.nav-link:hover,.nav-link:focus{color:var(--bs-nav-link-hover-color)}.nav-link:focus-visible{outline:0;box-shadow:0 0 0 .25rem rgba(191,40,27,0.25)}.nav-link.disabled,.nav-link:disabled{color:var(--bs-nav-link-disabled-color);pointer-events:none;cursor:default}.nav-tabs{--bs-nav-tabs-border-width: var(--bs-border-width);--bs-nav-tabs-border-color: var(--bs-border-color);--bs-nav-tabs-border-radius: var(--bs-border-radius);--bs-nav-tabs-link-hover-border-color: var(--bs-secondary-bg) var(--bs-secondary-bg) 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.5rem;--bs-navbar-toggler-padding-y: .25rem;--bs-navbar-toggler-padding-x: .75rem;--bs-navbar-toggler-font-size: 1.25rem;--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%2833,37,41,0.75%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e");--bs-navbar-toggler-border-color: rgba(var(--bs-emphasis-color-rgb), 0.15);--bs-navbar-toggler-border-radius: var(--bs-border-radius);--bs-navbar-toggler-focus-width: .25rem;--bs-navbar-toggler-transition: box-shadow 0.15s ease-in-out;position:relative;display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;align-items:center;-webkit-align-items:center;justify-content:space-between;-webkit-justify-content:space-between;padding:var(--bs-navbar-padding-y) 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992px){.navbar-expand-lg{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand-lg .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-lg .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-lg .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-lg .navbar-nav-scroll{overflow:visible}.navbar-expand-lg .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-lg .navbar-toggler{display:none}.navbar-expand-lg .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-lg .offcanvas .offcanvas-header{display:none}.navbar-expand-lg .offcanvas 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.offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-xxl .offcanvas .offcanvas-header{display:none}.navbar-expand-xxl .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}.navbar-expand{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand .navbar-nav .dropdown-menu{position:absolute}.navbar-expand .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand .navbar-nav-scroll{overflow:visible}.navbar-expand .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand .navbar-toggler{display:none}.navbar-expand .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand .offcanvas .offcanvas-header{display:none}.navbar-expand .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}.navbar-dark,.navbar[data-bs-theme="dark"]{--bs-navbar-color: rgba(var(--bs-emphasis-color-rgb), 0.55);--bs-navbar-hover-color: rgba(var(--bs-emphasis-color-rgb), 0.75);--bs-navbar-disabled-color: rgba(var(--bs-emphasis-color-rgb), 0.25);--bs-navbar-active-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-hover-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-toggler-border-color: rgba(var(--bs-emphasis-color-rgb), 0.1);--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%28255,255,255,0.75%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e")}[data-bs-theme="dark"] .navbar-toggler-icon{--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%28255,255,255,0.75%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e")}.card{--bs-card-spacer-y: 1rem;--bs-card-spacer-x: 1rem;--bs-card-title-spacer-y: .5rem;--bs-card-title-color: ;--bs-card-subtitle-color: ;--bs-card-border-width: var(--bs-border-width);--bs-card-border-color: var(--bs-border-color-translucent);--bs-card-border-radius: var(--bs-border-radius);--bs-card-box-shadow: ;--bs-card-inner-border-radius: calc(var(--bs-border-radius) - (var(--bs-border-width)));--bs-card-cap-padding-y: .5rem;--bs-card-cap-padding-x: 1rem;--bs-card-cap-bg: rgba(var(--bs-body-color-rgb), 0.03);--bs-card-cap-color: ;--bs-card-height: ;--bs-card-color: ;--bs-card-bg: var(--bs-body-bg);--bs-card-img-overlay-padding: 1rem;--bs-card-group-margin: .75rem;position:relative;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;min-width:0;height:var(--bs-card-height);color:var(--bs-body-color);word-wrap:break-word;background-color:var(--bs-card-bg);background-clip:border-box;border:var(--bs-card-border-width) solid var(--bs-card-border-color);border-radius:var(--bs-card-border-radius)}.card>hr{margin-right:0;margin-left:0}.card>.list-group{border-top:inherit;border-bottom:inherit}.card>.list-group:first-child{border-top-width:0;border-top-left-radius:var(--bs-card-inner-border-radius);border-top-right-radius:var(--bs-card-inner-border-radius)}.card>.list-group:last-child{border-bottom-width:0;border-bottom-right-radius:var(--bs-card-inner-border-radius);border-bottom-left-radius:var(--bs-card-inner-border-radius)}.card>.card-header+.list-group,.card>.list-group+.card-footer{border-top:0}.card-body{flex:1 1 auto;-webkit-flex:1 1 auto;padding:var(--bs-card-spacer-y) var(--bs-card-spacer-x);color:var(--bs-card-color)}.card-title{margin-bottom:var(--bs-card-title-spacer-y);color:var(--bs-card-title-color)}.card-subtitle{margin-top:calc(-.5 * 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.accordion-button.collapsed{border-bottom-right-radius:var(--bs-accordion-inner-border-radius);border-bottom-left-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:last-of-type .accordion-collapse{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-body{padding:var(--bs-accordion-body-padding-y) var(--bs-accordion-body-padding-x)}.accordion-flush .accordion-collapse{border-width:0}.accordion-flush .accordion-item{border-right:0;border-left:0;border-radius:0}.accordion-flush .accordion-item:first-child{border-top:0}.accordion-flush .accordion-item:last-child{border-bottom:0}.accordion-flush .accordion-item .accordion-button,.accordion-flush .accordion-item .accordion-button.collapsed{border-radius:0}[data-bs-theme="dark"] .accordion-button::after{--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23d97e76'%3e%3cpath 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var(--bs-breadcrumb-padding-x);margin-bottom:var(--bs-breadcrumb-margin-bottom);font-size:var(--bs-breadcrumb-font-size);list-style:none;background-color:var(--bs-breadcrumb-bg);border-radius:var(--bs-breadcrumb-border-radius)}.breadcrumb-item+.breadcrumb-item{padding-left:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item+.breadcrumb-item::before{float:left;padding-right:var(--bs-breadcrumb-item-padding-x);color:var(--bs-breadcrumb-divider-color);content:var(--bs-breadcrumb-divider, "/") /* rtl: var(--bs-breadcrumb-divider, "/") */}.breadcrumb-item.active{color:var(--bs-breadcrumb-item-active-color)}.pagination{--bs-pagination-padding-x: .75rem;--bs-pagination-padding-y: .375rem;--bs-pagination-font-size:1rem;--bs-pagination-color: var(--bs-link-color);--bs-pagination-bg: var(--bs-body-bg);--bs-pagination-border-width: var(--bs-border-width);--bs-pagination-border-color: var(--bs-border-color);--bs-pagination-border-radius: var(--bs-border-radius);--bs-pagination-hover-color: var(--bs-link-hover-color);--bs-pagination-hover-bg: var(--bs-tertiary-bg);--bs-pagination-hover-border-color: var(--bs-border-color);--bs-pagination-focus-color: var(--bs-link-hover-color);--bs-pagination-focus-bg: var(--bs-secondary-bg);--bs-pagination-focus-box-shadow: 0 0 0 .25rem rgba(191,40,27,0.25);--bs-pagination-active-color: #fff;--bs-pagination-active-bg: #BF281B;--bs-pagination-active-border-color: #BF281B;--bs-pagination-disabled-color: var(--bs-secondary-color);--bs-pagination-disabled-bg: var(--bs-secondary-bg);--bs-pagination-disabled-border-color: var(--bs-border-color);display:flex;display:-webkit-flex;padding-left:0;list-style:none}.page-link{position:relative;display:block;padding:var(--bs-pagination-padding-y) var(--bs-pagination-padding-x);font-size:var(--bs-pagination-font-size);color:var(--bs-pagination-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-pagination-bg);border:var(--bs-pagination-border-width) solid var(--bs-pagination-border-color);transition:color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.page-link{transition:none}}.page-link:hover{z-index:2;color:var(--bs-pagination-hover-color);background-color:var(--bs-pagination-hover-bg);border-color:var(--bs-pagination-hover-border-color)}.page-link:focus{z-index:3;color:var(--bs-pagination-focus-color);background-color:var(--bs-pagination-focus-bg);outline:0;box-shadow:var(--bs-pagination-focus-box-shadow)}.page-link.active,.active>.page-link{z-index:3;color:var(--bs-pagination-active-color);background-color:var(--bs-pagination-active-bg);border-color:var(--bs-pagination-active-border-color)}.page-link.disabled,.disabled>.page-link{color:var(--bs-pagination-disabled-color);pointer-events:none;background-color:var(--bs-pagination-disabled-bg);border-color:var(--bs-pagination-disabled-border-color)}.page-item:not(:first-child) .page-link{margin-left:calc(var(--bs-border-width) * -1)}.page-item:first-child .page-link{border-top-left-radius:var(--bs-pagination-border-radius);border-bottom-left-radius:var(--bs-pagination-border-radius)}.page-item:last-child .page-link{border-top-right-radius:var(--bs-pagination-border-radius);border-bottom-right-radius:var(--bs-pagination-border-radius)}.pagination-lg{--bs-pagination-padding-x: 1.5rem;--bs-pagination-padding-y: .75rem;--bs-pagination-font-size:1.25rem;--bs-pagination-border-radius: var(--bs-border-radius-lg)}.pagination-sm{--bs-pagination-padding-x: .5rem;--bs-pagination-padding-y: .25rem;--bs-pagination-font-size:.875rem;--bs-pagination-border-radius: var(--bs-border-radius-sm)}.badge{--bs-badge-padding-x: .65em;--bs-badge-padding-y: .35em;--bs-badge-font-size:.75em;--bs-badge-font-weight: 700;--bs-badge-color: #fff;--bs-badge-border-radius: var(--bs-border-radius);display:inline-block;padding:var(--bs-badge-padding-y) var(--bs-badge-padding-x);font-size:var(--bs-badge-font-size);font-weight:var(--bs-badge-font-weight);line-height:1;color:var(--bs-badge-color);text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:var(--bs-badge-border-radius)}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.alert{--bs-alert-bg: transparent;--bs-alert-padding-x: 1rem;--bs-alert-padding-y: 1rem;--bs-alert-margin-bottom: 1rem;--bs-alert-color: inherit;--bs-alert-border-color: transparent;--bs-alert-border: var(--bs-border-width) solid var(--bs-alert-border-color);--bs-alert-border-radius: var(--bs-border-radius);--bs-alert-link-color: inherit;position:relative;padding:var(--bs-alert-padding-y) var(--bs-alert-padding-x);margin-bottom:var(--bs-alert-margin-bottom);color:var(--bs-alert-color);background-color:var(--bs-alert-bg);border:var(--bs-alert-border);border-radius:var(--bs-alert-border-radius)}.alert-heading{color:inherit}.alert-link{font-weight:700;color:var(--bs-alert-link-color)}.alert-dismissible{padding-right:3rem}.alert-dismissible .btn-close{position:absolute;top:0;right:0;z-index:2;padding:1.25rem 1rem}.alert-default{--bs-alert-color: var(--bs-default-text-emphasis);--bs-alert-bg: var(--bs-default-bg-subtle);--bs-alert-border-color: var(--bs-default-border-subtle);--bs-alert-link-color: var(--bs-default-text-emphasis)}.alert-primary{--bs-alert-color: var(--bs-primary-text-emphasis);--bs-alert-bg: var(--bs-primary-bg-subtle);--bs-alert-border-color: var(--bs-primary-border-subtle);--bs-alert-link-color: var(--bs-primary-text-emphasis)}.alert-secondary{--bs-alert-color: var(--bs-secondary-text-emphasis);--bs-alert-bg: var(--bs-secondary-bg-subtle);--bs-alert-border-color: var(--bs-secondary-border-subtle);--bs-alert-link-color: var(--bs-secondary-text-emphasis)}.alert-success{--bs-alert-color: var(--bs-success-text-emphasis);--bs-alert-bg: var(--bs-success-bg-subtle);--bs-alert-border-color: var(--bs-success-border-subtle);--bs-alert-link-color: var(--bs-success-text-emphasis)}.alert-info{--bs-alert-color: var(--bs-info-text-emphasis);--bs-alert-bg: var(--bs-info-bg-subtle);--bs-alert-border-color: var(--bs-info-border-subtle);--bs-alert-link-color: var(--bs-info-text-emphasis)}.alert-warning{--bs-alert-color: var(--bs-warning-text-emphasis);--bs-alert-bg: var(--bs-warning-bg-subtle);--bs-alert-border-color: var(--bs-warning-border-subtle);--bs-alert-link-color: var(--bs-warning-text-emphasis)}.alert-danger{--bs-alert-color: var(--bs-danger-text-emphasis);--bs-alert-bg: var(--bs-danger-bg-subtle);--bs-alert-border-color: var(--bs-danger-border-subtle);--bs-alert-link-color: var(--bs-danger-text-emphasis)}.alert-light{--bs-alert-color: var(--bs-light-text-emphasis);--bs-alert-bg: var(--bs-light-bg-subtle);--bs-alert-border-color: var(--bs-light-border-subtle);--bs-alert-link-color: var(--bs-light-text-emphasis)}.alert-dark{--bs-alert-color: var(--bs-dark-text-emphasis);--bs-alert-bg: var(--bs-dark-bg-subtle);--bs-alert-border-color: var(--bs-dark-border-subtle);--bs-alert-link-color: var(--bs-dark-text-emphasis)}@keyframes progress-bar-stripes{0%{background-position-x:1rem}}.progress,.progress-stacked{--bs-progress-height: 1rem;--bs-progress-font-size:.75rem;--bs-progress-bg: var(--bs-secondary-bg);--bs-progress-border-radius: var(--bs-border-radius);--bs-progress-box-shadow: var(--bs-box-shadow-inset);--bs-progress-bar-color: #fff;--bs-progress-bar-bg: #BF281B;--bs-progress-bar-transition: width 0.6s ease;display:flex;display:-webkit-flex;height:var(--bs-progress-height);overflow:hidden;font-size:var(--bs-progress-font-size);background-color:var(--bs-progress-bg);border-radius:var(--bs-progress-border-radius)}.progress-bar{display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;justify-content:center;-webkit-justify-content:center;overflow:hidden;color:var(--bs-progress-bar-color);text-align:center;white-space:nowrap;background-color:var(--bs-progress-bar-bg);transition:var(--bs-progress-bar-transition)}@media (prefers-reduced-motion: reduce){.progress-bar{transition:none}}.progress-bar-striped{background-image:linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-size:var(--bs-progress-height) var(--bs-progress-height)}.progress-stacked>.progress{overflow:visible}.progress-stacked>.progress>.progress-bar{width:100%}.progress-bar-animated{animation:1s linear infinite progress-bar-stripes}@media (prefers-reduced-motion: reduce){.progress-bar-animated{animation:none}}.list-group{--bs-list-group-color: var(--bs-body-color);--bs-list-group-bg: var(--bs-body-bg);--bs-list-group-border-color: var(--bs-border-color);--bs-list-group-border-width: var(--bs-border-width);--bs-list-group-border-radius: var(--bs-border-radius);--bs-list-group-item-padding-x: 1rem;--bs-list-group-item-padding-y: .5rem;--bs-list-group-action-color: var(--bs-secondary-color);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-tertiary-bg);--bs-list-group-action-active-color: var(--bs-body-color);--bs-list-group-action-active-bg: var(--bs-secondary-bg);--bs-list-group-disabled-color: var(--bs-secondary-color);--bs-list-group-disabled-bg: var(--bs-body-bg);--bs-list-group-active-color: #fff;--bs-list-group-active-bg: #BF281B;--bs-list-group-active-border-color: #BF281B;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;padding-left:0;margin-bottom:0;border-radius:var(--bs-list-group-border-radius)}.list-group-numbered{list-style-type:none;counter-reset:section}.list-group-numbered>.list-group-item::before{content:counters(section, ".") ". ";counter-increment:section}.list-group-item-action{width:100%;color:var(--bs-list-group-action-color);text-align:inherit}.list-group-item-action:hover,.list-group-item-action:focus{z-index:1;color:var(--bs-list-group-action-hover-color);text-decoration:none;background-color:var(--bs-list-group-action-hover-bg)}.list-group-item-action:active{color:var(--bs-list-group-action-active-color);background-color:var(--bs-list-group-action-active-bg)}.list-group-item{position:relative;display:block;padding:var(--bs-list-group-item-padding-y) var(--bs-list-group-item-padding-x);color:var(--bs-list-group-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-list-group-bg);border:var(--bs-list-group-border-width) solid var(--bs-list-group-border-color)}.list-group-item:first-child{border-top-left-radius:inherit;border-top-right-radius:inherit}.list-group-item:last-child{border-bottom-right-radius:inherit;border-bottom-left-radius:inherit}.list-group-item.disabled,.list-group-item:disabled{color:var(--bs-list-group-disabled-color);pointer-events:none;background-color:var(--bs-list-group-disabled-bg)}.list-group-item.active{z-index:2;color:var(--bs-list-group-active-color);background-color:var(--bs-list-group-active-bg);border-color:var(--bs-list-group-active-border-color)}.list-group-item+.list-group-item{border-top-width:0}.list-group-item+.list-group-item.active{margin-top:calc(-1 * var(--bs-list-group-border-width));border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal>.list-group-item.active{margin-top:0}.list-group-horizontal>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}@media (min-width: 576px){.list-group-horizontal-sm{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-sm>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-sm>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-sm>.list-group-item.active{margin-top:0}.list-group-horizontal-sm>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-sm>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 768px){.list-group-horizontal-md{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-md>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-md>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-md>.list-group-item.active{margin-top:0}.list-group-horizontal-md>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-md>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 992px){.list-group-horizontal-lg{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-lg>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-lg>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-lg>.list-group-item.active{margin-top:0}.list-group-horizontal-lg>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-lg>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 1200px){.list-group-horizontal-xl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xl>.list-group-item.active{margin-top:0}.list-group-horizontal-xl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xl>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 1400px){.list-group-horizontal-xxl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xxl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xxl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xxl>.list-group-item.active{margin-top:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}.list-group-flush{border-radius:0}.list-group-flush>.list-group-item{border-width:0 0 var(--bs-list-group-border-width)}.list-group-flush>.list-group-item:last-child{border-bottom-width:0}.list-group-item-default{--bs-list-group-color: var(--bs-default-text-emphasis);--bs-list-group-bg: var(--bs-default-bg-subtle);--bs-list-group-border-color: var(--bs-default-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-default-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-default-border-subtle);--bs-list-group-active-color: var(--bs-default-bg-subtle);--bs-list-group-active-bg: var(--bs-default-text-emphasis);--bs-list-group-active-border-color: var(--bs-default-text-emphasis)}.list-group-item-primary{--bs-list-group-color: var(--bs-primary-text-emphasis);--bs-list-group-bg: var(--bs-primary-bg-subtle);--bs-list-group-border-color: var(--bs-primary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-primary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-primary-border-subtle);--bs-list-group-active-color: var(--bs-primary-bg-subtle);--bs-list-group-active-bg: var(--bs-primary-text-emphasis);--bs-list-group-active-border-color: var(--bs-primary-text-emphasis)}.list-group-item-secondary{--bs-list-group-color: var(--bs-secondary-text-emphasis);--bs-list-group-bg: var(--bs-secondary-bg-subtle);--bs-list-group-border-color: var(--bs-secondary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-secondary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-secondary-border-subtle);--bs-list-group-active-color: var(--bs-secondary-bg-subtle);--bs-list-group-active-bg: var(--bs-secondary-text-emphasis);--bs-list-group-active-border-color: var(--bs-secondary-text-emphasis)}.list-group-item-success{--bs-list-group-color: var(--bs-success-text-emphasis);--bs-list-group-bg: var(--bs-success-bg-subtle);--bs-list-group-border-color: var(--bs-success-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-success-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-success-border-subtle);--bs-list-group-active-color: var(--bs-success-bg-subtle);--bs-list-group-active-bg: var(--bs-success-text-emphasis);--bs-list-group-active-border-color: var(--bs-success-text-emphasis)}.list-group-item-info{--bs-list-group-color: var(--bs-info-text-emphasis);--bs-list-group-bg: var(--bs-info-bg-subtle);--bs-list-group-border-color: var(--bs-info-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-info-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-info-border-subtle);--bs-list-group-active-color: var(--bs-info-bg-subtle);--bs-list-group-active-bg: var(--bs-info-text-emphasis);--bs-list-group-active-border-color: var(--bs-info-text-emphasis)}.list-group-item-warning{--bs-list-group-color: var(--bs-warning-text-emphasis);--bs-list-group-bg: var(--bs-warning-bg-subtle);--bs-list-group-border-color: var(--bs-warning-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-warning-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-warning-border-subtle);--bs-list-group-active-color: var(--bs-warning-bg-subtle);--bs-list-group-active-bg: var(--bs-warning-text-emphasis);--bs-list-group-active-border-color: var(--bs-warning-text-emphasis)}.list-group-item-danger{--bs-list-group-color: var(--bs-danger-text-emphasis);--bs-list-group-bg: var(--bs-danger-bg-subtle);--bs-list-group-border-color: var(--bs-danger-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-danger-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-danger-border-subtle);--bs-list-group-active-color: var(--bs-danger-bg-subtle);--bs-list-group-active-bg: var(--bs-danger-text-emphasis);--bs-list-group-active-border-color: var(--bs-danger-text-emphasis)}.list-group-item-light{--bs-list-group-color: var(--bs-light-text-emphasis);--bs-list-group-bg: var(--bs-light-bg-subtle);--bs-list-group-border-color: var(--bs-light-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-light-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-light-border-subtle);--bs-list-group-active-color: var(--bs-light-bg-subtle);--bs-list-group-active-bg: var(--bs-light-text-emphasis);--bs-list-group-active-border-color: var(--bs-light-text-emphasis)}.list-group-item-dark{--bs-list-group-color: var(--bs-dark-text-emphasis);--bs-list-group-bg: var(--bs-dark-bg-subtle);--bs-list-group-border-color: var(--bs-dark-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-dark-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-dark-border-subtle);--bs-list-group-active-color: var(--bs-dark-bg-subtle);--bs-list-group-active-bg: var(--bs-dark-text-emphasis);--bs-list-group-active-border-color: var(--bs-dark-text-emphasis)}.btn-close{--bs-btn-close-color: #000;--bs-btn-close-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23000'%3e%3cpath d='M.293.293a1 1 0 0 1 1.414 0L8 6.586 14.293.293a1 1 0 1 1 1.414 1.414L9.414 8l6.293 6.293a1 1 0 0 1-1.414 1.414L8 9.414l-6.293 6.293a1 1 0 0 1-1.414-1.414L6.586 8 .293 1.707a1 1 0 0 1 0-1.414z'/%3e%3c/svg%3e");--bs-btn-close-opacity: .5;--bs-btn-close-hover-opacity: .75;--bs-btn-close-focus-shadow: 0 0 0 .25rem rgba(191,40,27,0.25);--bs-btn-close-focus-opacity: 1;--bs-btn-close-disabled-opacity: .25;--bs-btn-close-white-filter: invert(1) grayscale(100%) brightness(200%);box-sizing:content-box;width:1em;height:1em;padding:.25em .25em;color:var(--bs-btn-close-color);background:transparent var(--bs-btn-close-bg) center/1em auto no-repeat;border:0;border-radius:.375rem;opacity:var(--bs-btn-close-opacity)}.btn-close:hover{color:var(--bs-btn-close-color);text-decoration:none;opacity:var(--bs-btn-close-hover-opacity)}.btn-close:focus{outline:0;box-shadow:var(--bs-btn-close-focus-shadow);opacity:var(--bs-btn-close-focus-opacity)}.btn-close:disabled,.btn-close.disabled{pointer-events:none;user-select:none;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;-o-user-select:none;opacity:var(--bs-btn-close-disabled-opacity)}.btn-close-white{filter:var(--bs-btn-close-white-filter)}[data-bs-theme="dark"] .btn-close{filter:var(--bs-btn-close-white-filter)}.toast{--bs-toast-zindex: 1090;--bs-toast-padding-x: .75rem;--bs-toast-padding-y: .5rem;--bs-toast-spacing: 1.5rem;--bs-toast-max-width: 350px;--bs-toast-font-size:.875rem;--bs-toast-color: ;--bs-toast-bg: rgba(var(--bs-body-bg-rgb), 0.85);--bs-toast-border-width: var(--bs-border-width);--bs-toast-border-color: var(--bs-border-color-translucent);--bs-toast-border-radius: var(--bs-border-radius);--bs-toast-box-shadow: var(--bs-box-shadow);--bs-toast-header-color: var(--bs-secondary-color);--bs-toast-header-bg: rgba(var(--bs-body-bg-rgb), 0.85);--bs-toast-header-border-color: var(--bs-border-color-translucent);width:var(--bs-toast-max-width);max-width:100%;font-size:var(--bs-toast-font-size);color:var(--bs-toast-color);pointer-events:auto;background-color:var(--bs-toast-bg);background-clip:padding-box;border:var(--bs-toast-border-width) solid var(--bs-toast-border-color);box-shadow:var(--bs-toast-box-shadow);border-radius:var(--bs-toast-border-radius)}.toast.showing{opacity:0}.toast:not(.show){display:none}.toast-container{--bs-toast-zindex: 1090;position:absolute;z-index:var(--bs-toast-zindex);width:max-content;width:-webkit-max-content;width:-moz-max-content;width:-ms-max-content;width:-o-max-content;max-width:100%;pointer-events:none}.toast-container>:not(:last-child){margin-bottom:var(--bs-toast-spacing)}.toast-header{display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;padding:var(--bs-toast-padding-y) var(--bs-toast-padding-x);color:var(--bs-toast-header-color);background-color:var(--bs-toast-header-bg);background-clip:padding-box;border-bottom:var(--bs-toast-border-width) solid var(--bs-toast-header-border-color);border-top-left-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width));border-top-right-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width))}.toast-header .btn-close{margin-right:calc(-.5 * var(--bs-toast-padding-x));margin-left:var(--bs-toast-padding-x)}.toast-body{padding:var(--bs-toast-padding-x);word-wrap:break-word}.modal{--bs-modal-zindex: 1055;--bs-modal-width: 500px;--bs-modal-padding: 1rem;--bs-modal-margin: .5rem;--bs-modal-color: ;--bs-modal-bg: var(--bs-body-bg);--bs-modal-border-color: var(--bs-border-color-translucent);--bs-modal-border-width: var(--bs-border-width);--bs-modal-border-radius: var(--bs-border-radius-lg);--bs-modal-box-shadow: 0 0.125rem 0.25rem rgba(0,0,0,0.075);--bs-modal-inner-border-radius: calc(var(--bs-border-radius-lg) - (var(--bs-border-width)));--bs-modal-header-padding-x: 1rem;--bs-modal-header-padding-y: 1rem;--bs-modal-header-padding: 1rem 1rem;--bs-modal-header-border-color: var(--bs-border-color);--bs-modal-header-border-width: var(--bs-border-width);--bs-modal-title-line-height: 1.5;--bs-modal-footer-gap: .5rem;--bs-modal-footer-bg: ;--bs-modal-footer-border-color: var(--bs-border-color);--bs-modal-footer-border-width: var(--bs-border-width);position:fixed;top:0;left:0;z-index:var(--bs-modal-zindex);display:none;width:100%;height:100%;overflow-x:hidden;overflow-y:auto;outline:0}.modal-dialog{position:relative;width:auto;margin:var(--bs-modal-margin);pointer-events:none}.modal.fade .modal-dialog{transition:transform 0.3s ease-out;transform:translate(0, -50px)}@media (prefers-reduced-motion: reduce){.modal.fade .modal-dialog{transition:none}}.modal.show .modal-dialog{transform:none}.modal.modal-static .modal-dialog{transform:scale(1.02)}.modal-dialog-scrollable{height:calc(100% - var(--bs-modal-margin) * 2)}.modal-dialog-scrollable .modal-content{max-height:100%;overflow:hidden}.modal-dialog-scrollable .modal-body{overflow-y:auto}.modal-dialog-centered{display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;min-height:calc(100% - var(--bs-modal-margin) * 2)}.modal-content{position:relative;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;width:100%;color:var(--bs-modal-color);pointer-events:auto;background-color:var(--bs-modal-bg);background-clip:padding-box;border:var(--bs-modal-border-width) solid var(--bs-modal-border-color);border-radius:var(--bs-modal-border-radius);outline:0}.modal-backdrop{--bs-backdrop-zindex: 1050;--bs-backdrop-bg: #000;--bs-backdrop-opacity: .5;position:fixed;top:0;left:0;z-index:var(--bs-backdrop-zindex);width:100vw;height:100vh;background-color:var(--bs-backdrop-bg)}.modal-backdrop.fade{opacity:0}.modal-backdrop.show{opacity:var(--bs-backdrop-opacity)}.modal-header{display:flex;display:-webkit-flex;flex-shrink:0;-webkit-flex-shrink:0;align-items:center;-webkit-align-items:center;justify-content:space-between;-webkit-justify-content:space-between;padding:var(--bs-modal-header-padding);border-bottom:var(--bs-modal-header-border-width) solid 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var(--bs-modal-footer-border-color);border-bottom-right-radius:var(--bs-modal-inner-border-radius);border-bottom-left-radius:var(--bs-modal-inner-border-radius)}.modal-footer>*{margin:calc(var(--bs-modal-footer-gap) * .5)}@media (min-width: 576px){.modal{--bs-modal-margin: 1.75rem;--bs-modal-box-shadow: 0 0.5rem 1rem rgba(0,0,0,0.15)}.modal-dialog{max-width:var(--bs-modal-width);margin-right:auto;margin-left:auto}.modal-sm{--bs-modal-width: 300px}}@media (min-width: 992px){.modal-lg,.modal-xl{--bs-modal-width: 800px}}@media (min-width: 1200px){.modal-xl{--bs-modal-width: 1140px}}.modal-fullscreen{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen .modal-header,.modal-fullscreen .modal-footer{border-radius:0}.modal-fullscreen .modal-body{overflow-y:auto}@media (max-width: 575.98px){.modal-fullscreen-sm-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-sm-down 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#212529;--bs-btn-bg: transparent;--bs-gradient: none}.btn-link{--bs-btn-font-weight: 400;--bs-btn-color: var(--bs-link-color);--bs-btn-bg: transparent;--bs-btn-border-color: transparent;--bs-btn-hover-color: var(--bs-link-hover-color);--bs-btn-hover-border-color: transparent;--bs-btn-active-color: var(--bs-link-hover-color);--bs-btn-active-border-color: transparent;--bs-btn-disabled-color: #6c757d;--bs-btn-disabled-border-color: transparent;--bs-btn-box-shadow: 0 0 0 #000;--bs-btn-focus-shadow-rgb: 201,72,61;text-decoration:underline;-webkit-text-decoration:underline;-moz-text-decoration:underline;-ms-text-decoration:underline;-o-text-decoration:underline}.btn-link:focus-visible{color:var(--bs-btn-color)}.btn-link:hover{color:var(--bs-btn-hover-color)}.btn-lg,.btn-group-lg>.btn{--bs-btn-padding-y: .5rem;--bs-btn-padding-x: 1rem;--bs-btn-font-size:1.25rem;--bs-btn-border-radius: var(--bs-border-radius-lg)}.btn-sm,.btn-group-sm>.btn{--bs-btn-padding-y: .25rem;--bs-btn-padding-x: 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auto}.btn-group>.btn-check:checked+.btn,.btn-group>.btn-check:focus+.btn,.btn-group>.btn:hover,.btn-group>.btn:focus,.btn-group>.btn:active,.btn-group>.btn.active,.btn-group-vertical>.btn-check:checked+.btn,.btn-group-vertical>.btn-check:focus+.btn,.btn-group-vertical>.btn:hover,.btn-group-vertical>.btn:focus,.btn-group-vertical>.btn:active,.btn-group-vertical>.btn.active{z-index:1}.btn-toolbar{display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;justify-content:flex-start;-webkit-justify-content:flex-start}.btn-toolbar .input-group{width:auto}.btn-group{border-radius:var(--bs-border-radius)}.btn-group>:not(.btn-check:first-child)+.btn,.btn-group>.btn-group:not(:first-child){margin-left:calc(var(--bs-border-width) * -1)}.btn-group>.btn:not(:last-child):not(.dropdown-toggle),.btn-group>.btn.dropdown-toggle-split:first-child,.btn-group>.btn-group:not(:last-child)>.btn{border-top-right-radius:0;border-bottom-right-radius:0}.btn-group>.btn:nth-child(n + 3),.btn-group>:not(.btn-check)+.btn,.btn-group>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-bottom-left-radius:0}.dropdown-toggle-split{padding-right:.5625rem;padding-left:.5625rem}.dropdown-toggle-split::after,.dropup .dropdown-toggle-split::after,.dropend .dropdown-toggle-split::after{margin-left:0}.dropstart .dropdown-toggle-split::before{margin-right:0}.btn-sm+.dropdown-toggle-split,.btn-group-sm>.btn+.dropdown-toggle-split{padding-right:.375rem;padding-left:.375rem}.btn-lg+.dropdown-toggle-split,.btn-group-lg>.btn+.dropdown-toggle-split{padding-right:.75rem;padding-left:.75rem}.btn-group-vertical{flex-direction:column;-webkit-flex-direction:column;align-items:flex-start;-webkit-align-items:flex-start;justify-content:center;-webkit-justify-content:center}.btn-group-vertical>.btn,.btn-group-vertical>.btn-group{width:100%}.btn-group-vertical>.btn:not(:first-child),.btn-group-vertical>.btn-group:not(:first-child){margin-top:calc(var(--bs-border-width) * -1)}.btn-group-vertical>.btn:not(:last-child):not(.dropdown-toggle),.btn-group-vertical>.btn-group:not(:last-child)>.btn{border-bottom-right-radius:0;border-bottom-left-radius:0}.btn-group-vertical>.btn~.btn,.btn-group-vertical>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-top-right-radius:0}.nav{--bs-nav-link-padding-x: 1rem;--bs-nav-link-padding-y: .5rem;--bs-nav-link-font-weight: ;--bs-nav-link-color: var(--bs-link-color);--bs-nav-link-hover-color: var(--bs-link-hover-color);--bs-nav-link-disabled-color: var(--bs-secondary-color);display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;padding-left:0;margin-bottom:0;list-style:none}.nav-link{display:block;padding:var(--bs-nav-link-padding-y) 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.offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-xxl .offcanvas .offcanvas-header{display:none}.navbar-expand-xxl .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}.navbar-expand{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand .navbar-nav .dropdown-menu{position:absolute}.navbar-expand .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand .navbar-nav-scroll{overflow:visible}.navbar-expand .navbar-collapse{display:flex !important;display:-webkit-flex 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url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%234c100b'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-focus-border-color: #df948d;--bs-accordion-btn-focus-box-shadow: 0 0 0 .25rem rgba(191,40,27,0.25);--bs-accordion-body-padding-x: 1.25rem;--bs-accordion-body-padding-y: 1rem;--bs-accordion-active-color: var(--bs-primary-text-emphasis);--bs-accordion-active-bg: var(--bs-primary-bg-subtle)}.accordion-button{position:relative;display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;width:100%;padding:var(--bs-accordion-btn-padding-y) var(--bs-accordion-btn-padding-x);font-size:1rem;color:var(--bs-accordion-btn-color);text-align:left;background-color:var(--bs-accordion-btn-bg);border:0;border-radius:0;overflow-anchor:none;transition:var(--bs-accordion-transition)}@media 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.accordion-button.collapsed{border-bottom-right-radius:var(--bs-accordion-inner-border-radius);border-bottom-left-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:last-of-type .accordion-collapse{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-body{padding:var(--bs-accordion-body-padding-y) var(--bs-accordion-body-padding-x)}.accordion-flush .accordion-collapse{border-width:0}.accordion-flush .accordion-item{border-right:0;border-left:0;border-radius:0}.accordion-flush .accordion-item:first-child{border-top:0}.accordion-flush .accordion-item:last-child{border-bottom:0}.accordion-flush .accordion-item .accordion-button,.accordion-flush .accordion-item .accordion-button.collapsed{border-radius:0}[data-bs-theme="dark"] .accordion-button::after{--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23d97e76'%3e%3cpath 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var(--bs-breadcrumb-padding-x);margin-bottom:var(--bs-breadcrumb-margin-bottom);font-size:var(--bs-breadcrumb-font-size);list-style:none;background-color:var(--bs-breadcrumb-bg);border-radius:var(--bs-breadcrumb-border-radius)}.breadcrumb-item+.breadcrumb-item{padding-left:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item+.breadcrumb-item::before{float:left;padding-right:var(--bs-breadcrumb-item-padding-x);color:var(--bs-breadcrumb-divider-color);content:var(--bs-breadcrumb-divider, "/") /* rtl: var(--bs-breadcrumb-divider, "/") */}.breadcrumb-item.active{color:var(--bs-breadcrumb-item-active-color)}.pagination{--bs-pagination-padding-x: .75rem;--bs-pagination-padding-y: .375rem;--bs-pagination-font-size:1rem;--bs-pagination-color: var(--bs-link-color);--bs-pagination-bg: var(--bs-body-bg);--bs-pagination-border-width: var(--bs-border-width);--bs-pagination-border-color: var(--bs-border-color);--bs-pagination-border-radius: var(--bs-border-radius);--bs-pagination-hover-color: var(--bs-link-hover-color);--bs-pagination-hover-bg: var(--bs-tertiary-bg);--bs-pagination-hover-border-color: var(--bs-border-color);--bs-pagination-focus-color: var(--bs-link-hover-color);--bs-pagination-focus-bg: var(--bs-secondary-bg);--bs-pagination-focus-box-shadow: 0 0 0 .25rem rgba(191,40,27,0.25);--bs-pagination-active-color: #fff;--bs-pagination-active-bg: #BF281B;--bs-pagination-active-border-color: #BF281B;--bs-pagination-disabled-color: var(--bs-secondary-color);--bs-pagination-disabled-bg: var(--bs-secondary-bg);--bs-pagination-disabled-border-color: var(--bs-border-color);display:flex;display:-webkit-flex;padding-left:0;list-style:none}.page-link{position:relative;display:block;padding:var(--bs-pagination-padding-y) var(--bs-pagination-padding-x);font-size:var(--bs-pagination-font-size);color:var(--bs-pagination-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-pagination-bg);border:var(--bs-pagination-border-width) solid var(--bs-pagination-border-color);transition:color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.page-link{transition:none}}.page-link:hover{z-index:2;color:var(--bs-pagination-hover-color);background-color:var(--bs-pagination-hover-bg);border-color:var(--bs-pagination-hover-border-color)}.page-link:focus{z-index:3;color:var(--bs-pagination-focus-color);background-color:var(--bs-pagination-focus-bg);outline:0;box-shadow:var(--bs-pagination-focus-box-shadow)}.page-link.active,.active>.page-link{z-index:3;color:var(--bs-pagination-active-color);background-color:var(--bs-pagination-active-bg);border-color:var(--bs-pagination-active-border-color)}.page-link.disabled,.disabled>.page-link{color:var(--bs-pagination-disabled-color);pointer-events:none;background-color:var(--bs-pagination-disabled-bg);border-color:var(--bs-pagination-disabled-border-color)}.page-item:not(:first-child) .page-link{margin-left:calc(var(--bs-border-width) * -1)}.page-item:first-child .page-link{border-top-left-radius:var(--bs-pagination-border-radius);border-bottom-left-radius:var(--bs-pagination-border-radius)}.page-item:last-child .page-link{border-top-right-radius:var(--bs-pagination-border-radius);border-bottom-right-radius:var(--bs-pagination-border-radius)}.pagination-lg{--bs-pagination-padding-x: 1.5rem;--bs-pagination-padding-y: .75rem;--bs-pagination-font-size:1.25rem;--bs-pagination-border-radius: var(--bs-border-radius-lg)}.pagination-sm{--bs-pagination-padding-x: .5rem;--bs-pagination-padding-y: .25rem;--bs-pagination-font-size:.875rem;--bs-pagination-border-radius: var(--bs-border-radius-sm)}.badge{--bs-badge-padding-x: .65em;--bs-badge-padding-y: .35em;--bs-badge-font-size:.75em;--bs-badge-font-weight: 700;--bs-badge-color: #fff;--bs-badge-border-radius: var(--bs-border-radius);display:inline-block;padding:var(--bs-badge-padding-y) var(--bs-badge-padding-x);font-size:var(--bs-badge-font-size);font-weight:var(--bs-badge-font-weight);line-height:1;color:var(--bs-badge-color);text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:var(--bs-badge-border-radius)}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.alert{--bs-alert-bg: transparent;--bs-alert-padding-x: 1rem;--bs-alert-padding-y: 1rem;--bs-alert-margin-bottom: 1rem;--bs-alert-color: inherit;--bs-alert-border-color: transparent;--bs-alert-border: var(--bs-border-width) solid var(--bs-alert-border-color);--bs-alert-border-radius: var(--bs-border-radius);--bs-alert-link-color: inherit;position:relative;padding:var(--bs-alert-padding-y) var(--bs-alert-padding-x);margin-bottom:var(--bs-alert-margin-bottom);color:var(--bs-alert-color);background-color:var(--bs-alert-bg);border:var(--bs-alert-border);border-radius:var(--bs-alert-border-radius)}.alert-heading{color:inherit}.alert-link{font-weight:700;color:var(--bs-alert-link-color)}.alert-dismissible{padding-right:3rem}.alert-dismissible .btn-close{position:absolute;top:0;right:0;z-index:2;padding:1.25rem 1rem}.alert-default{--bs-alert-color: var(--bs-default-text-emphasis);--bs-alert-bg: var(--bs-default-bg-subtle);--bs-alert-border-color: var(--bs-default-border-subtle);--bs-alert-link-color: var(--bs-default-text-emphasis)}.alert-primary{--bs-alert-color: var(--bs-primary-text-emphasis);--bs-alert-bg: var(--bs-primary-bg-subtle);--bs-alert-border-color: var(--bs-primary-border-subtle);--bs-alert-link-color: var(--bs-primary-text-emphasis)}.alert-secondary{--bs-alert-color: var(--bs-secondary-text-emphasis);--bs-alert-bg: var(--bs-secondary-bg-subtle);--bs-alert-border-color: var(--bs-secondary-border-subtle);--bs-alert-link-color: var(--bs-secondary-text-emphasis)}.alert-success{--bs-alert-color: var(--bs-success-text-emphasis);--bs-alert-bg: var(--bs-success-bg-subtle);--bs-alert-border-color: var(--bs-success-border-subtle);--bs-alert-link-color: var(--bs-success-text-emphasis)}.alert-info{--bs-alert-color: var(--bs-info-text-emphasis);--bs-alert-bg: var(--bs-info-bg-subtle);--bs-alert-border-color: var(--bs-info-border-subtle);--bs-alert-link-color: var(--bs-info-text-emphasis)}.alert-warning{--bs-alert-color: var(--bs-warning-text-emphasis);--bs-alert-bg: var(--bs-warning-bg-subtle);--bs-alert-border-color: var(--bs-warning-border-subtle);--bs-alert-link-color: var(--bs-warning-text-emphasis)}.alert-danger{--bs-alert-color: var(--bs-danger-text-emphasis);--bs-alert-bg: var(--bs-danger-bg-subtle);--bs-alert-border-color: var(--bs-danger-border-subtle);--bs-alert-link-color: var(--bs-danger-text-emphasis)}.alert-light{--bs-alert-color: var(--bs-light-text-emphasis);--bs-alert-bg: var(--bs-light-bg-subtle);--bs-alert-border-color: var(--bs-light-border-subtle);--bs-alert-link-color: var(--bs-light-text-emphasis)}.alert-dark{--bs-alert-color: var(--bs-dark-text-emphasis);--bs-alert-bg: var(--bs-dark-bg-subtle);--bs-alert-border-color: var(--bs-dark-border-subtle);--bs-alert-link-color: var(--bs-dark-text-emphasis)}@keyframes progress-bar-stripes{0%{background-position-x:1rem}}.progress,.progress-stacked{--bs-progress-height: 1rem;--bs-progress-font-size:.75rem;--bs-progress-bg: var(--bs-secondary-bg);--bs-progress-border-radius: var(--bs-border-radius);--bs-progress-box-shadow: var(--bs-box-shadow-inset);--bs-progress-bar-color: #fff;--bs-progress-bar-bg: #BF281B;--bs-progress-bar-transition: width 0.6s ease;display:flex;display:-webkit-flex;height:var(--bs-progress-height);overflow:hidden;font-size:var(--bs-progress-font-size);background-color:var(--bs-progress-bg);border-radius:var(--bs-progress-border-radius)}.progress-bar{display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;justify-content:center;-webkit-justify-content:center;overflow:hidden;color:var(--bs-progress-bar-color);text-align:center;white-space:nowrap;background-color:var(--bs-progress-bar-bg);transition:var(--bs-progress-bar-transition)}@media (prefers-reduced-motion: reduce){.progress-bar{transition:none}}.progress-bar-striped{background-image:linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-size:var(--bs-progress-height) var(--bs-progress-height)}.progress-stacked>.progress{overflow:visible}.progress-stacked>.progress>.progress-bar{width:100%}.progress-bar-animated{animation:1s linear infinite progress-bar-stripes}@media (prefers-reduced-motion: reduce){.progress-bar-animated{animation:none}}.list-group{--bs-list-group-color: var(--bs-body-color);--bs-list-group-bg: var(--bs-body-bg);--bs-list-group-border-color: var(--bs-border-color);--bs-list-group-border-width: var(--bs-border-width);--bs-list-group-border-radius: var(--bs-border-radius);--bs-list-group-item-padding-x: 1rem;--bs-list-group-item-padding-y: .5rem;--bs-list-group-action-color: var(--bs-secondary-color);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-tertiary-bg);--bs-list-group-action-active-color: var(--bs-body-color);--bs-list-group-action-active-bg: var(--bs-secondary-bg);--bs-list-group-disabled-color: var(--bs-secondary-color);--bs-list-group-disabled-bg: var(--bs-body-bg);--bs-list-group-active-color: #fff;--bs-list-group-active-bg: #BF281B;--bs-list-group-active-border-color: #BF281B;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;padding-left:0;margin-bottom:0;border-radius:var(--bs-list-group-border-radius)}.list-group-numbered{list-style-type:none;counter-reset:section}.list-group-numbered>.list-group-item::before{content:counters(section, ".") ". ";counter-increment:section}.list-group-item-action{width:100%;color:var(--bs-list-group-action-color);text-align:inherit}.list-group-item-action:hover,.list-group-item-action:focus{z-index:1;color:var(--bs-list-group-action-hover-color);text-decoration:none;background-color:var(--bs-list-group-action-hover-bg)}.list-group-item-action:active{color:var(--bs-list-group-action-active-color);background-color:var(--bs-list-group-action-active-bg)}.list-group-item{position:relative;display:block;padding:var(--bs-list-group-item-padding-y) var(--bs-list-group-item-padding-x);color:var(--bs-list-group-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-list-group-bg);border:var(--bs-list-group-border-width) solid var(--bs-list-group-border-color)}.list-group-item:first-child{border-top-left-radius:inherit;border-top-right-radius:inherit}.list-group-item:last-child{border-bottom-right-radius:inherit;border-bottom-left-radius:inherit}.list-group-item.disabled,.list-group-item:disabled{color:var(--bs-list-group-disabled-color);pointer-events:none;background-color:var(--bs-list-group-disabled-bg)}.list-group-item.active{z-index:2;color:var(--bs-list-group-active-color);background-color:var(--bs-list-group-active-bg);border-color:var(--bs-list-group-active-border-color)}.list-group-item+.list-group-item{border-top-width:0}.list-group-item+.list-group-item.active{margin-top:calc(-1 * var(--bs-list-group-border-width));border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal>.list-group-item.active{margin-top:0}.list-group-horizontal>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}@media (min-width: 576px){.list-group-horizontal-sm{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-sm>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-sm>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-sm>.list-group-item.active{margin-top:0}.list-group-horizontal-sm>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-sm>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 768px){.list-group-horizontal-md{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-md>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-md>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-md>.list-group-item.active{margin-top:0}.list-group-horizontal-md>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-md>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 992px){.list-group-horizontal-lg{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-lg>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-lg>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-lg>.list-group-item.active{margin-top:0}.list-group-horizontal-lg>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-lg>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 1200px){.list-group-horizontal-xl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xl>.list-group-item.active{margin-top:0}.list-group-horizontal-xl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xl>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 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var(--bs-list-group-border-width)}.list-group-flush>.list-group-item:last-child{border-bottom-width:0}.list-group-item-default{--bs-list-group-color: var(--bs-default-text-emphasis);--bs-list-group-bg: var(--bs-default-bg-subtle);--bs-list-group-border-color: var(--bs-default-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-default-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-default-border-subtle);--bs-list-group-active-color: var(--bs-default-bg-subtle);--bs-list-group-active-bg: var(--bs-default-text-emphasis);--bs-list-group-active-border-color: var(--bs-default-text-emphasis)}.list-group-item-primary{--bs-list-group-color: var(--bs-primary-text-emphasis);--bs-list-group-bg: var(--bs-primary-bg-subtle);--bs-list-group-border-color: var(--bs-primary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-primary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-primary-border-subtle);--bs-list-group-active-color: var(--bs-primary-bg-subtle);--bs-list-group-active-bg: var(--bs-primary-text-emphasis);--bs-list-group-active-border-color: var(--bs-primary-text-emphasis)}.list-group-item-secondary{--bs-list-group-color: var(--bs-secondary-text-emphasis);--bs-list-group-bg: var(--bs-secondary-bg-subtle);--bs-list-group-border-color: var(--bs-secondary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-secondary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-secondary-border-subtle);--bs-list-group-active-color: var(--bs-secondary-bg-subtle);--bs-list-group-active-bg: var(--bs-secondary-text-emphasis);--bs-list-group-active-border-color: var(--bs-secondary-text-emphasis)}.list-group-item-success{--bs-list-group-color: var(--bs-success-text-emphasis);--bs-list-group-bg: var(--bs-success-bg-subtle);--bs-list-group-border-color: var(--bs-success-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-success-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-success-border-subtle);--bs-list-group-active-color: var(--bs-success-bg-subtle);--bs-list-group-active-bg: var(--bs-success-text-emphasis);--bs-list-group-active-border-color: var(--bs-success-text-emphasis)}.list-group-item-info{--bs-list-group-color: var(--bs-info-text-emphasis);--bs-list-group-bg: var(--bs-info-bg-subtle);--bs-list-group-border-color: var(--bs-info-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-info-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-info-border-subtle);--bs-list-group-active-color: var(--bs-info-bg-subtle);--bs-list-group-active-bg: var(--bs-info-text-emphasis);--bs-list-group-active-border-color: var(--bs-info-text-emphasis)}.list-group-item-warning{--bs-list-group-color: var(--bs-warning-text-emphasis);--bs-list-group-bg: var(--bs-warning-bg-subtle);--bs-list-group-border-color: var(--bs-warning-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-warning-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-warning-border-subtle);--bs-list-group-active-color: var(--bs-warning-bg-subtle);--bs-list-group-active-bg: var(--bs-warning-text-emphasis);--bs-list-group-active-border-color: var(--bs-warning-text-emphasis)}.list-group-item-danger{--bs-list-group-color: var(--bs-danger-text-emphasis);--bs-list-group-bg: var(--bs-danger-bg-subtle);--bs-list-group-border-color: var(--bs-danger-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-danger-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-danger-border-subtle);--bs-list-group-active-color: var(--bs-danger-bg-subtle);--bs-list-group-active-bg: var(--bs-danger-text-emphasis);--bs-list-group-active-border-color: var(--bs-danger-text-emphasis)}.list-group-item-light{--bs-list-group-color: var(--bs-light-text-emphasis);--bs-list-group-bg: var(--bs-light-bg-subtle);--bs-list-group-border-color: var(--bs-light-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-light-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-light-border-subtle);--bs-list-group-active-color: var(--bs-light-bg-subtle);--bs-list-group-active-bg: var(--bs-light-text-emphasis);--bs-list-group-active-border-color: var(--bs-light-text-emphasis)}.list-group-item-dark{--bs-list-group-color: var(--bs-dark-text-emphasis);--bs-list-group-bg: var(--bs-dark-bg-subtle);--bs-list-group-border-color: var(--bs-dark-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-dark-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-dark-border-subtle);--bs-list-group-active-color: var(--bs-dark-bg-subtle);--bs-list-group-active-bg: var(--bs-dark-text-emphasis);--bs-list-group-active-border-color: var(--bs-dark-text-emphasis)}.btn-close{--bs-btn-close-color: #000;--bs-btn-close-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' 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a:visited:after{content:""}}a.sourceLine:hover{text-decoration:none}mark,.mark{background:linear-gradient(-100deg, rgba(13,202,240,0.2), rgba(13,202,240,0.7) 95%, rgba(13,202,240,0.1))}.algolia-autocomplete .aa-hint{color:#212529}.algolia-autocomplete .aa-dropdown-menu{width:Max(100%, 20rem);background-color:#fff;border:1px solid var(--bs-border-color);margin-top:2px;max-height:50vh;overflow-y:auto}.algolia-autocomplete .aa-dropdown-menu .aa-suggestion{cursor:pointer;padding:5px 4px;border-bottom:1px #e9ecef solid;font-size:0.9rem;color:#212529}.search-details{font-size:0.9rem;color:#BF281B;display:inline;font-weight:bolder}.algolia-autocomplete .aa-dropdown-menu .aa-suggestion.aa-cursor{background-color:#f9eae8}pre{background-color:#f1f3f5}pre code{color:#003B4F}pre code span.al{color:#AD0000}pre code span.an{color:#5E5E5E}pre code span.at{color:#657422}pre code span.bn{color:#AD0000}pre code span.cf{color:#003B4F}pre code span.ch{color:#20794D}pre code span.cn{color:#8f5902}pre code span.co{color:#5E5E5E}pre code span.cv{color:#5E5E5E;font-style:italic}pre code span.do{color:#5E5E5E;font-style:italic}pre code span.dt{color:#AD0000}pre code span.dv{color:#AD0000}pre code span.er{color:#AD0000}pre code span.fl{color:#AD0000}pre code span.fu{color:#4758AB}pre code span.im{color:#00769E}pre code span.in{color:#5E5E5E}pre code span.kw{color:#003B4F}pre code span.op{color:#5E5E5E}pre code span.ot{color:#003B4F}pre code span.pp{color:#AD0000}pre code span.sc{color:#5E5E5E}pre code span.ss{color:#20794D}pre code span.st{color:#20794D}pre code span.va{color:#111111}pre code span.vs{color:#20794D}pre code span.wa{color:#5E5E5E;font-style:italic} diff --git a/docs/index.html b/docs/index.html index 11c170b90..67fad32c8 100644 --- a/docs/index.html +++ b/docs/index.html @@ -17,7 +17,7 @@ - + Changelog • keras3Changelog • keras3 @@ -10,7 +10,7 @@ keras3 - 0.1.0.9000 + 0.2.0.9000 + + + + + +
+
+
+

Computes the Tversky loss value between y_true and y_pred.

+ Source: R/losses.R +
loss_tversky.Rd
+
+ +
+

This loss function is weighted by the alpha and beta coefficients +that penalize false positives and false negatives.

+

With alpha=0.5 and beta=0.5, the loss value becomes equivalent to +Dice Loss.

+

This loss function is weighted by the alpha and beta coefficients +that penalize false positives and false negatives.

+

With alpha=0.5 and beta=0.5, the loss value becomes equivalent to +Dice Loss.

+
+ +
+

Usage

+ 
loss_tversky(
+  y_true,
+  y_pred,
+  ...,
+  alpha = 0.5,
+  beta = 0.5,
+  reduction = "sum_over_batch_size",
+  name = "tversky"
+)
+
+ +
+

Arguments

+
y_true
+

tensor of true targets.

+ + +
y_pred
+

tensor of predicted targets.

+ + +
...
+

For forward/backward compatability.

+ + +
alpha
+

coefficient controlling incidence of false positives.

+ + +
beta
+

coefficient controlling incidence of false negatives.

+ + +
reduction
+

Type of reduction to apply to the loss. In almost all cases +this should be "sum_over_batch_size". +Supported options are "sum", "sum_over_batch_size" or NULL.

+ + +
name
+

String, name for the object

+ +
+
+

Value

+ + +

Tversky loss value.

+
+
+

Reference

+ +
+
+

See also

+

Other losses:
Loss()
loss_binary_crossentropy()
loss_binary_focal_crossentropy()
loss_categorical_crossentropy()
loss_categorical_focal_crossentropy()
loss_categorical_hinge()
loss_cosine_similarity()
loss_ctc()
loss_dice()
loss_hinge()
loss_huber()
loss_kl_divergence()
loss_log_cosh()
loss_mean_absolute_error()
loss_mean_absolute_percentage_error()
loss_mean_squared_error()
loss_mean_squared_logarithmic_error()
loss_poisson()
loss_sparse_categorical_crossentropy()
loss_squared_hinge()
metric_binary_crossentropy()
metric_binary_focal_crossentropy()
metric_categorical_crossentropy()
metric_categorical_focal_crossentropy()
metric_categorical_hinge()
metric_hinge()
metric_huber()
metric_kl_divergence()
metric_log_cosh()
metric_mean_absolute_error()
metric_mean_absolute_percentage_error()
metric_mean_squared_error()
metric_mean_squared_logarithmic_error()
metric_poisson()
metric_sparse_categorical_crossentropy()
metric_squared_hinge()

+
+ +
+ + +
+

Developed by Tomasz Kalinowski, JJ Allaire, François Chollet, Posit Software, PBC, Google.

+
+ +
+

Site built with pkgdown 2.0.9.

+
+ +
+ + + + + + + diff --git a/docs/reference/mark_active.html b/docs/reference/mark_active.html index af70cf9fc..510bd48b2 100644 --- a/docs/reference/mark_active.html +++ b/docs/reference/mark_active.html @@ -1,6 +1,6 @@ active_property — mark_active • keras3active_property — mark_active • keras3Approximates the AUC (Area under the curve) of the ROC or PR curves. — metric_auc • keras3keras3 - 0.1.0.9000 + 0.2.0.9000 + + + + + +
+
+
+

Decodes the output of a CTC model.

+ Source: R/ops.R +
op_ctc_decode.Rd
+
+ +
+

Decodes the output of a CTC model.

+
+ +
+

Usage

+ 
op_ctc_decode(
+  inputs,
+  sequence_lengths,
+  strategy,
+  beam_width = 100L,
+  top_paths = 1L,
+  merge_repeated = TRUE,
+  mask_index = NULL
+)
+
+ +
+

Arguments

+
inputs
+

A tensor of shape (batch_size, max_length, num_classes) +containing the logits (output of the model).

+ + +
sequence_lengths
+

A tensor of shape (batch_size) containing the +sequence lengths for the batch.

+ + +
strategy
+

A string for the decoding strategy. Supported values are +"greedy" and "beam_search".

+ + +
beam_width
+

An integer scalar beam width used in beam search. +Defaults to 100.

+ + +
top_paths
+

An integer scalar, the number of top paths to return. +Defaults to 1.

+ + +
merge_repeated
+

A boolean scalar, whether to merge repeated +labels in the output. Defaults to TRUE.

+ + +
mask_index
+

An integer scalar, the index of the mask character in +the vocabulary. Defaults to NULL.

+ +
+
+

Value

+ + +

A list containing:

  • A list of decoded sequences.

    • +

  • A list of the negative of the sum of the probability logits +(if strategy is "greedy") or the log probability (if strategy is +"beam_search") for each sequence.

    • +
+
+

See also

+

Other numpy ops:
op_abs()
op_add()
op_all()
op_any()
op_append()
op_arange()
op_arccos()
op_arccosh()
op_arcsin()
op_arcsinh()
op_arctan()
op_arctan2()
op_arctanh()
op_argmax()
op_argmin()
op_argsort()
op_array()
op_average()
op_bincount()
op_broadcast_to()
op_ceil()
op_clip()
op_concatenate()
op_conj()
op_copy()
op_correlate()
op_cos()
op_cosh()
op_count_nonzero()
op_cross()
op_cumprod()
op_cumsum()
op_diag()
op_diagonal()
op_diff()
op_digitize()
op_divide()
op_divide_no_nan()
op_dot()
op_einsum()
op_empty()
op_equal()
op_exp()
op_expand_dims()
op_expm1()
op_eye()
op_flip()
op_floor()
op_floor_divide()
op_full()
op_full_like()
op_get_item()
op_greater()
op_greater_equal()
op_hstack()
op_identity()
op_imag()
op_isclose()
op_isfinite()
op_isinf()
op_isnan()
op_less()
op_less_equal()
op_linspace()
op_log()
op_log10()
op_log1p()
op_log2()
op_logaddexp()
op_logical_and()
op_logical_not()
op_logical_or()
op_logical_xor()
op_logspace()
op_matmul()
op_max()
op_maximum()
op_mean()
op_median()
op_meshgrid()
op_min()
op_minimum()
op_mod()
op_moveaxis()
op_multiply()
op_nan_to_num()
op_ndim()
op_negative()
op_nonzero()
op_not_equal()
op_ones()
op_ones_like()
op_outer()
op_pad()
op_power()
op_prod()
op_quantile()
op_ravel()
op_real()
op_reciprocal()
op_repeat()
op_reshape()
op_roll()
op_round()
op_select()
op_sign()
op_sin()
op_sinh()
op_size()
op_sort()
op_split()
op_sqrt()
op_square()
op_squeeze()
op_stack()
op_std()
op_subtract()
op_sum()
op_swapaxes()
op_take()
op_take_along_axis()
op_tan()
op_tanh()
op_tensordot()
op_tile()
op_trace()
op_transpose()
op_tri()
op_tril()
op_triu()
op_var()
op_vdot()
op_vectorize()
op_vstack()
op_where()
op_zeros()
op_zeros_like()

+

Other ops:
op_abs()
op_add()
op_all()
op_any()
op_append()
op_arange()
op_arccos()
op_arccosh()
op_arcsin()
op_arcsinh()
op_arctan()
op_arctan2()
op_arctanh()
op_argmax()
op_argmin()
op_argsort()
op_array()
op_average()
op_average_pool()
op_batch_normalization()
op_binary_crossentropy()
op_bincount()
op_broadcast_to()
op_cast()
op_categorical_crossentropy()
op_ceil()
op_cholesky()
op_clip()
op_concatenate()
op_cond()
op_conj()
op_conv()
op_conv_transpose()
op_convert_to_numpy()
op_convert_to_tensor()
op_copy()
op_correlate()
op_cos()
op_cosh()
op_count_nonzero()
op_cross()
op_ctc_loss()
op_cumprod()
op_cumsum()
op_custom_gradient()
op_depthwise_conv()
op_det()
op_diag()
op_diagonal()
op_diff()
op_digitize()
op_divide()
op_divide_no_nan()
op_dot()
op_eig()
op_eigh()
op_einsum()
op_elu()
op_empty()
op_equal()
op_erf()
op_erfinv()
op_exp()
op_expand_dims()
op_expm1()
op_extract_sequences()
op_eye()
op_fft()
op_fft2()
op_flip()
op_floor()
op_floor_divide()
op_fori_loop()
op_full()
op_full_like()
op_gelu()
op_get_item()
op_greater()
op_greater_equal()
op_hard_sigmoid()
op_hard_silu()
op_hstack()
op_identity()
op_imag()
op_image_affine_transform()
op_image_crop()
op_image_extract_patches()
op_image_map_coordinates()
op_image_pad()
op_image_resize()
op_image_rgb_to_grayscale()
op_in_top_k()
op_inv()
op_irfft()
op_is_tensor()
op_isclose()
op_isfinite()
op_isinf()
op_isnan()
op_istft()
op_leaky_relu()
op_less()
op_less_equal()
op_linspace()
op_log()
op_log10()
op_log1p()
op_log2()
op_log_sigmoid()
op_log_softmax()
op_logaddexp()
op_logical_and()
op_logical_not()
op_logical_or()
op_logical_xor()
op_logspace()
op_logsumexp()
op_lu_factor()
op_matmul()
op_max()
op_max_pool()
op_maximum()
op_mean()
op_median()
op_meshgrid()
op_min()
op_minimum()
op_mod()
op_moments()
op_moveaxis()
op_multi_hot()
op_multiply()
op_nan_to_num()
op_ndim()
op_negative()
op_nonzero()
op_norm()
op_normalize()
op_not_equal()
op_one_hot()
op_ones()
op_ones_like()
op_outer()
op_pad()
op_power()
op_prod()
op_qr()
op_quantile()
op_ravel()
op_real()
op_reciprocal()
op_relu()
op_relu6()
op_repeat()
op_reshape()
op_rfft()
op_roll()
op_round()
op_rsqrt()
op_scatter()
op_scatter_update()
op_segment_max()
op_segment_sum()
op_select()
op_selu()
op_separable_conv()
op_shape()
op_sigmoid()
op_sign()
op_silu()
op_sin()
op_sinh()
op_size()
op_slice()
op_slice_update()
op_softmax()
op_softplus()
op_softsign()
op_solve()
op_solve_triangular()
op_sort()
op_sparse_categorical_crossentropy()
op_split()
op_sqrt()
op_square()
op_squeeze()
op_stack()
op_std()
op_stft()
op_stop_gradient()
op_subtract()
op_sum()
op_svd()
op_swapaxes()
op_take()
op_take_along_axis()
op_tan()
op_tanh()
op_tensordot()
op_tile()
op_top_k()
op_trace()
op_transpose()
op_tri()
op_tril()
op_triu()
op_unstack()
op_var()
op_vdot()
op_vectorize()
op_vectorized_map()
op_vstack()
op_where()
op_while_loop()
op_zeros()
op_zeros_like()

+
+ +
+ + +
+

Developed by Tomasz Kalinowski, JJ Allaire, François Chollet, Posit Software, PBC, Google.

+
+ +
+

Site built with pkgdown 2.0.9.

+
+ +
+ + + + + + + diff --git a/docs/reference/op_ctc_loss.html b/docs/reference/op_ctc_loss.html index ba9fb7089..3369edf7b 100644 --- a/docs/reference/op_ctc_loss.html +++ b/docs/reference/op_ctc_loss.html @@ -1,5 +1,5 @@ -CTC (Connectionist Temporal Classification) loss. — op_ctc_loss • keras3CTC (Connectionist Temporal Classification) loss. — op_ctc_loss • keras3 @@ -10,7 +10,7 @@ keras3 - 0.1.0.9000 + 0.2.0.9000 + + + + + +
+
+
+

Computes the eigenvalues and eigenvectors of a complex Hermitian.

+ Source: R/ops-linalg.R +
op_eigh.Rd
+
+ +
+

Computes the eigenvalues and eigenvectors of a complex Hermitian.

+
+ +
+

Usage

+ 
op_eigh(x)
+
+ +
+

Arguments

+
x
+

Input tensor of shape (..., M, M).

+ +
+
+

Value

+ + +

A list of two tensors: a tensor of shape (..., M) containing +eigenvalues and a tensor of shape (..., M, M) containing eigenvectors.

+
+
+

See also

+

Other linear algebra ops:
op_cholesky()
op_det()
op_eig()
op_inv()
op_lu_factor()
op_norm()
op_solve_triangular()
op_svd()

+

Other ops:
op_abs()
op_add()
op_all()
op_any()
op_append()
op_arange()
op_arccos()
op_arccosh()
op_arcsin()
op_arcsinh()
op_arctan()
op_arctan2()
op_arctanh()
op_argmax()
op_argmin()
op_argsort()
op_array()
op_average()
op_average_pool()
op_batch_normalization()
op_binary_crossentropy()
op_bincount()
op_broadcast_to()
op_cast()
op_categorical_crossentropy()
op_ceil()
op_cholesky()
op_clip()
op_concatenate()
op_cond()
op_conj()
op_conv()
op_conv_transpose()
op_convert_to_numpy()
op_convert_to_tensor()
op_copy()
op_correlate()
op_cos()
op_cosh()
op_count_nonzero()
op_cross()
op_ctc_decode()
op_ctc_loss()
op_cumprod()
op_cumsum()
op_custom_gradient()
op_depthwise_conv()
op_det()
op_diag()
op_diagonal()
op_diff()
op_digitize()
op_divide()
op_divide_no_nan()
op_dot()
op_eig()
op_einsum()
op_elu()
op_empty()
op_equal()
op_erf()
op_erfinv()
op_exp()
op_expand_dims()
op_expm1()
op_extract_sequences()
op_eye()
op_fft()
op_fft2()
op_flip()
op_floor()
op_floor_divide()
op_fori_loop()
op_full()
op_full_like()
op_gelu()
op_get_item()
op_greater()
op_greater_equal()
op_hard_sigmoid()
op_hard_silu()
op_hstack()
op_identity()
op_imag()
op_image_affine_transform()
op_image_crop()
op_image_extract_patches()
op_image_map_coordinates()
op_image_pad()
op_image_resize()
op_image_rgb_to_grayscale()
op_in_top_k()
op_inv()
op_irfft()
op_is_tensor()
op_isclose()
op_isfinite()
op_isinf()
op_isnan()
op_istft()
op_leaky_relu()
op_less()
op_less_equal()
op_linspace()
op_log()
op_log10()
op_log1p()
op_log2()
op_log_sigmoid()
op_log_softmax()
op_logaddexp()
op_logical_and()
op_logical_not()
op_logical_or()
op_logical_xor()
op_logspace()
op_logsumexp()
op_lu_factor()
op_matmul()
op_max()
op_max_pool()
op_maximum()
op_mean()
op_median()
op_meshgrid()
op_min()
op_minimum()
op_mod()
op_moments()
op_moveaxis()
op_multi_hot()
op_multiply()
op_nan_to_num()
op_ndim()
op_negative()
op_nonzero()
op_norm()
op_normalize()
op_not_equal()
op_one_hot()
op_ones()
op_ones_like()
op_outer()
op_pad()
op_power()
op_prod()
op_qr()
op_quantile()
op_ravel()
op_real()
op_reciprocal()
op_relu()
op_relu6()
op_repeat()
op_reshape()
op_rfft()
op_roll()
op_round()
op_rsqrt()
op_scatter()
op_scatter_update()
op_segment_max()
op_segment_sum()
op_select()
op_selu()
op_separable_conv()
op_shape()
op_sigmoid()
op_sign()
op_silu()
op_sin()
op_sinh()
op_size()
op_slice()
op_slice_update()
op_softmax()
op_softplus()
op_softsign()
op_solve()
op_solve_triangular()
op_sort()
op_sparse_categorical_crossentropy()
op_split()
op_sqrt()
op_square()
op_squeeze()
op_stack()
op_std()
op_stft()
op_stop_gradient()
op_subtract()
op_sum()
op_svd()
op_swapaxes()
op_take()
op_take_along_axis()
op_tan()
op_tanh()
op_tensordot()
op_tile()
op_top_k()
op_trace()
op_transpose()
op_tri()
op_tril()
op_triu()
op_unstack()
op_var()
op_vdot()
op_vectorize()
op_vectorized_map()
op_vstack()
op_where()
op_while_loop()
op_zeros()
op_zeros_like()

+
+ +
+ + +
+

Developed by Tomasz Kalinowski, JJ Allaire, François Chollet, Posit Software, PBC, Google.

+
+ +
+

Site built with pkgdown 2.0.9.

+
+ +
+ + + + + + + diff --git a/docs/reference/op_einsum.html b/docs/reference/op_einsum.html index e021cfc3c..344d25094 100644 --- a/docs/reference/op_einsum.html +++ b/docs/reference/op_einsum.html @@ -1,5 +1,5 @@ -Evaluates the Einstein summation convention on the operands. — op_einsum • keras3Evaluates the Einstein summation convention on the operands. — op_einsum • keras3 @@ -10,7 +10,7 @@ keras3 - 0.1.0.9000 + 0.2.0.9000 + + + + + +
+
+
+

Convert RGB images to grayscale.

+ Source: R/ops-image.R +
op_image_rgb_to_grayscale.Rd
+
+ +
+

This function converts RGB images to grayscale images. It supports both +3D and 4D tensors, where the last dimension represents channels.

+
+ +
+

Usage

+ 
op_image_rgb_to_grayscale(image, data_format = "channels_last")
+
+ +
+

Arguments

+
image
+

Input RGB image or batch of RGB images. Must be a 3D tensor +with shape (height, width, channels) or a 4D tensor with shape +(batch, height, width, channels).

+ + +
data_format
+

A string specifying the data format of the input tensor. +It can be either "channels_last" or "channels_first". +"channels_last" corresponds to inputs with shape +(batch, height, width, channels), while "channels_first" +corresponds to inputs with shape (batch, channels, height, width). +Defaults to "channels_last".

+ +
+
+

Value

+ + +

Grayscale image or batch of grayscale images.

+
+
+

Examples

+ 

x <- random_uniform(c(2, 4, 4, 3))
+y <- op_image_rgb_to_grayscale(x)
+shape(y)

+

## shape(2, 4, 4, 1)
+

+

x <- random_uniform(c(4, 4, 3)) # Single RGB image
+y = op_image_rgb_to_grayscale(x)
+shape(y)

+

## shape(4, 4, 1)
+

+

x <- random_uniform(c(2, 3, 4, 4))
+y <- op_image_rgb_to_grayscale(x, data_format="channels_first")
+shape(y)

+

## shape(2, 1, 4, 4)
+

+
+
+

See also

+

Other image ops:
op_image_affine_transform()
op_image_crop()
op_image_extract_patches()
op_image_map_coordinates()
op_image_pad()
op_image_resize()

+

Other image utils:
image_array_save()
image_from_array()
image_load()
image_smart_resize()
image_to_array()
op_image_affine_transform()
op_image_crop()
op_image_extract_patches()
op_image_map_coordinates()
op_image_pad()
op_image_resize()

+

Other ops:
op_abs()
op_add()
op_all()
op_any()
op_append()
op_arange()
op_arccos()
op_arccosh()
op_arcsin()
op_arcsinh()
op_arctan()
op_arctan2()
op_arctanh()
op_argmax()
op_argmin()
op_argsort()
op_array()
op_average()
op_average_pool()
op_batch_normalization()
op_binary_crossentropy()
op_bincount()
op_broadcast_to()
op_cast()
op_categorical_crossentropy()
op_ceil()
op_cholesky()
op_clip()
op_concatenate()
op_cond()
op_conj()
op_conv()
op_conv_transpose()
op_convert_to_numpy()
op_convert_to_tensor()
op_copy()
op_correlate()
op_cos()
op_cosh()
op_count_nonzero()
op_cross()
op_ctc_decode()
op_ctc_loss()
op_cumprod()
op_cumsum()
op_custom_gradient()
op_depthwise_conv()
op_det()
op_diag()
op_diagonal()
op_diff()
op_digitize()
op_divide()
op_divide_no_nan()
op_dot()
op_eig()
op_eigh()
op_einsum()
op_elu()
op_empty()
op_equal()
op_erf()
op_erfinv()
op_exp()
op_expand_dims()
op_expm1()
op_extract_sequences()
op_eye()
op_fft()
op_fft2()
op_flip()
op_floor()
op_floor_divide()
op_fori_loop()
op_full()
op_full_like()
op_gelu()
op_get_item()
op_greater()
op_greater_equal()
op_hard_sigmoid()
op_hard_silu()
op_hstack()
op_identity()
op_imag()
op_image_affine_transform()
op_image_crop()
op_image_extract_patches()
op_image_map_coordinates()
op_image_pad()
op_image_resize()
op_in_top_k()
op_inv()
op_irfft()
op_is_tensor()
op_isclose()
op_isfinite()
op_isinf()
op_isnan()
op_istft()
op_leaky_relu()
op_less()
op_less_equal()
op_linspace()
op_log()
op_log10()
op_log1p()
op_log2()
op_log_sigmoid()
op_log_softmax()
op_logaddexp()
op_logical_and()
op_logical_not()
op_logical_or()
op_logical_xor()
op_logspace()
op_logsumexp()
op_lu_factor()
op_matmul()
op_max()
op_max_pool()
op_maximum()
op_mean()
op_median()
op_meshgrid()
op_min()
op_minimum()
op_mod()
op_moments()
op_moveaxis()
op_multi_hot()
op_multiply()
op_nan_to_num()
op_ndim()
op_negative()
op_nonzero()
op_norm()
op_normalize()
op_not_equal()
op_one_hot()
op_ones()
op_ones_like()
op_outer()
op_pad()
op_power()
op_prod()
op_qr()
op_quantile()
op_ravel()
op_real()
op_reciprocal()
op_relu()
op_relu6()
op_repeat()
op_reshape()
op_rfft()
op_roll()
op_round()
op_rsqrt()
op_scatter()
op_scatter_update()
op_segment_max()
op_segment_sum()
op_select()
op_selu()
op_separable_conv()
op_shape()
op_sigmoid()
op_sign()
op_silu()
op_sin()
op_sinh()
op_size()
op_slice()
op_slice_update()
op_softmax()
op_softplus()
op_softsign()
op_solve()
op_solve_triangular()
op_sort()
op_sparse_categorical_crossentropy()
op_split()
op_sqrt()
op_square()
op_squeeze()
op_stack()
op_std()
op_stft()
op_stop_gradient()
op_subtract()
op_sum()
op_svd()
op_swapaxes()
op_take()
op_take_along_axis()
op_tan()
op_tanh()
op_tensordot()
op_tile()
op_top_k()
op_trace()
op_transpose()
op_tri()
op_tril()
op_triu()
op_unstack()
op_var()
op_vdot()
op_vectorize()
op_vectorized_map()
op_vstack()
op_where()
op_while_loop()
op_zeros()
op_zeros_like()

+
+ +
+ + +
+

Developed by Tomasz Kalinowski, JJ Allaire, François Chollet, Posit Software, PBC, Google.

+
+ +
+

Site built with pkgdown 2.0.9.

+
+ +
+ + + + + + + diff --git a/docs/reference/op_in_top_k.html b/docs/reference/op_in_top_k.html index f6a3046c4..0f573ec20 100644 --- a/docs/reference/op_in_top_k.html +++ b/docs/reference/op_in_top_k.html @@ -1,5 +1,5 @@ -Checks if the targets are in the top-k predictions. — op_in_top_k • keras3Checks if the targets are in the top-k predictions. — op_in_top_k • keras3 @@ -10,7 +10,7 @@ keras3 - 0.1.0.9000 + 0.2.0.9000 + + + + + +
+
+
+

Turn a function into a vectorized function.

+ Source: R/ops.R +
op_vectorize.Rd
+
+ +
+

Turn a function into a vectorized function.

+
+ +
+

Usage

+ 
op_vectorize(func, ..., excluded = NULL, signature = NULL)
+
+ +
+

Arguments

+
func
+

Callable of a single tensor argument.

+ + +
...
+

For forward/backward compatability.

+ + +
excluded
+

Optional set of integers representing +positional arguments for which the function +will not be vectorized. +These will be passed directly to func unmodified.

+ + +
signature
+

Optional generalized universal function signature, +e.g., "(m,n),(n)->(m)" for vectorized +matrix-vector multiplication. If provided, +func will be called with (and expected to return) +arrays with shapes given by the size of corresponding +core dimensions. By default, func is assumed +to take scalar tensors as input and output.

+ +
+
+

Value

+ + +

A new function that applies func to every element +of its input along axis 1 (the batch axis, the first axis).

+
+
+

Examples

+ 

# currently does not work w/ tensorflow backend
+if(config_backend() != "tensorflow") {
+
+  myfunc <- function(a, b) a + b
+
+  vfunc <- op_vectorize(myfunc)
+  y <- vfunc(c(1, 2, 3, 4), 2)
+  print(y)
+  # with Jax backend, y is:
+  # Array([3., 4., 5., 6.], dtype=float32)
+}

+
+
+

See also

+

Other numpy ops:
op_abs()
op_add()
op_all()
op_any()
op_append()
op_arange()
op_arccos()
op_arccosh()
op_arcsin()
op_arcsinh()
op_arctan()
op_arctan2()
op_arctanh()
op_argmax()
op_argmin()
op_argsort()
op_array()
op_average()
op_bincount()
op_broadcast_to()
op_ceil()
op_clip()
op_concatenate()
op_conj()
op_copy()
op_correlate()
op_cos()
op_cosh()
op_count_nonzero()
op_cross()
op_ctc_decode()
op_cumprod()
op_cumsum()
op_diag()
op_diagonal()
op_diff()
op_digitize()
op_divide()
op_divide_no_nan()
op_dot()
op_einsum()
op_empty()
op_equal()
op_exp()
op_expand_dims()
op_expm1()
op_eye()
op_flip()
op_floor()
op_floor_divide()
op_full()
op_full_like()
op_get_item()
op_greater()
op_greater_equal()
op_hstack()
op_identity()
op_imag()
op_isclose()
op_isfinite()
op_isinf()
op_isnan()
op_less()
op_less_equal()
op_linspace()
op_log()
op_log10()
op_log1p()
op_log2()
op_logaddexp()
op_logical_and()
op_logical_not()
op_logical_or()
op_logical_xor()
op_logspace()
op_matmul()
op_max()
op_maximum()
op_mean()
op_median()
op_meshgrid()
op_min()
op_minimum()
op_mod()
op_moveaxis()
op_multiply()
op_nan_to_num()
op_ndim()
op_negative()
op_nonzero()
op_not_equal()
op_ones()
op_ones_like()
op_outer()
op_pad()
op_power()
op_prod()
op_quantile()
op_ravel()
op_real()
op_reciprocal()
op_repeat()
op_reshape()
op_roll()
op_round()
op_select()
op_sign()
op_sin()
op_sinh()
op_size()
op_sort()
op_split()
op_sqrt()
op_square()
op_squeeze()
op_stack()
op_std()
op_subtract()
op_sum()
op_swapaxes()
op_take()
op_take_along_axis()
op_tan()
op_tanh()
op_tensordot()
op_tile()
op_trace()
op_transpose()
op_tri()
op_tril()
op_triu()
op_var()
op_vdot()
op_vstack()
op_where()
op_zeros()
op_zeros_like()

+

Other ops:
op_abs()
op_add()
op_all()
op_any()
op_append()
op_arange()
op_arccos()
op_arccosh()
op_arcsin()
op_arcsinh()
op_arctan()
op_arctan2()
op_arctanh()
op_argmax()
op_argmin()
op_argsort()
op_array()
op_average()
op_average_pool()
op_batch_normalization()
op_binary_crossentropy()
op_bincount()
op_broadcast_to()
op_cast()
op_categorical_crossentropy()
op_ceil()
op_cholesky()
op_clip()
op_concatenate()
op_cond()
op_conj()
op_conv()
op_conv_transpose()
op_convert_to_numpy()
op_convert_to_tensor()
op_copy()
op_correlate()
op_cos()
op_cosh()
op_count_nonzero()
op_cross()
op_ctc_decode()
op_ctc_loss()
op_cumprod()
op_cumsum()
op_custom_gradient()
op_depthwise_conv()
op_det()
op_diag()
op_diagonal()
op_diff()
op_digitize()
op_divide()
op_divide_no_nan()
op_dot()
op_eig()
op_eigh()
op_einsum()
op_elu()
op_empty()
op_equal()
op_erf()
op_erfinv()
op_exp()
op_expand_dims()
op_expm1()
op_extract_sequences()
op_eye()
op_fft()
op_fft2()
op_flip()
op_floor()
op_floor_divide()
op_fori_loop()
op_full()
op_full_like()
op_gelu()
op_get_item()
op_greater()
op_greater_equal()
op_hard_sigmoid()
op_hard_silu()
op_hstack()
op_identity()
op_imag()
op_image_affine_transform()
op_image_crop()
op_image_extract_patches()
op_image_map_coordinates()
op_image_pad()
op_image_resize()
op_image_rgb_to_grayscale()
op_in_top_k()
op_inv()
op_irfft()
op_is_tensor()
op_isclose()
op_isfinite()
op_isinf()
op_isnan()
op_istft()
op_leaky_relu()
op_less()
op_less_equal()
op_linspace()
op_log()
op_log10()
op_log1p()
op_log2()
op_log_sigmoid()
op_log_softmax()
op_logaddexp()
op_logical_and()
op_logical_not()
op_logical_or()
op_logical_xor()
op_logspace()
op_logsumexp()
op_lu_factor()
op_matmul()
op_max()
op_max_pool()
op_maximum()
op_mean()
op_median()
op_meshgrid()
op_min()
op_minimum()
op_mod()
op_moments()
op_moveaxis()
op_multi_hot()
op_multiply()
op_nan_to_num()
op_ndim()
op_negative()
op_nonzero()
op_norm()
op_normalize()
op_not_equal()
op_one_hot()
op_ones()
op_ones_like()
op_outer()
op_pad()
op_power()
op_prod()
op_qr()
op_quantile()
op_ravel()
op_real()
op_reciprocal()
op_relu()
op_relu6()
op_repeat()
op_reshape()
op_rfft()
op_roll()
op_round()
op_rsqrt()
op_scatter()
op_scatter_update()
op_segment_max()
op_segment_sum()
op_select()
op_selu()
op_separable_conv()
op_shape()
op_sigmoid()
op_sign()
op_silu()
op_sin()
op_sinh()
op_size()
op_slice()
op_slice_update()
op_softmax()
op_softplus()
op_softsign()
op_solve()
op_solve_triangular()
op_sort()
op_sparse_categorical_crossentropy()
op_split()
op_sqrt()
op_square()
op_squeeze()
op_stack()
op_std()
op_stft()
op_stop_gradient()
op_subtract()
op_sum()
op_svd()
op_swapaxes()
op_take()
op_take_along_axis()
op_tan()
op_tanh()
op_tensordot()
op_tile()
op_top_k()
op_trace()
op_transpose()
op_tri()
op_tril()
op_triu()
op_unstack()
op_var()
op_vdot()
op_vectorized_map()
op_vstack()
op_where()
op_while_loop()
op_zeros()
op_zeros_like()

+
+ +
+ + +
+

Developed by Tomasz Kalinowski, JJ Allaire, François Chollet, Posit Software, PBC, Google.

+
+ +
+

Site built with pkgdown 2.0.9.

+
+ +
+ + + + + + + diff --git a/docs/reference/op_vectorized_map.html b/docs/reference/op_vectorized_map.html index d5df6ec4d..f1212a9a4 100644 --- a/docs/reference/op_vectorized_map.html +++ b/docs/reference/op_vectorized_map.html @@ -1,7 +1,7 @@ Parallel map of function f on the first axis of tensor(s) elements. — op_vectorized_map • keras3Parallel map of function f on the first axis of tensor(s) elements. — op_vectorized_map • keras3Stack tensors in sequence vertically (row wise). — op_vstack • keras3Stack tensors in sequence vertically (row wise). — op_vstack • keras3 @@ -10,7 +10,7 @@ keras3 - 0.1.0.9000 + 0.2.0.9000