DCRM doesn't work..

[timegate]

In outpaint.ipynb, below line gives the following error.
CONF_GENERATED_IMAGE = DCRM(GENERATED_IMAGE)
ValueError: number of input channels does not match corresponding dimension of filter, 3 != 256

I found that the shape of GENERATED_IMAGE is (None, 3, 128, 4) based on the summary but DCRM wants (None, 256, 128, 3) as an input. Could you guess what's going on please?

I only added 2 lines on top of the outpaint.ipynb, which are
import os os.environ['KERAS_BACKEND']='tensorflow'
otherwise, I get an error on the code
DCRM = build_discriminator()
TypeError: Failed to convert object of type <class 'theano.tensor.var.TensorVariable'> to Tensor. Contents: /dense_2_target. Consider casting elements to a supported type.

summary of GEN

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Layer (type) Output Shape Param #

input_2 (InputLayer) (None, 256, 128, 3) 0

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conv2d_6 (Conv2D) (None, 64, 128, 3) 409664

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re_lu_1 (ReLU) (None, 64, 128, 3) 0

---

dropout_6 (Dropout) (None, 64, 128, 3) 0

---

instance_normalization_1 (In (None, 64, 128, 3) 2

---

conv2d_7 (Conv2D) (None, 128, 64, 2) 131200

---

re_lu_2 (ReLU) (None, 128, 64, 2) 0

---

dropout_7 (Dropout) (None, 128, 64, 2) 0

---

instance_normalization_2 (In (None, 128, 64, 2) 2

---

conv2d_8 (Conv2D) (None, 256, 32, 1) 524544

---

re_lu_3 (ReLU) (None, 256, 32, 1) 0

---

dropout_8 (Dropout) (None, 256, 32, 1) 0

---

instance_normalization_3 (In (None, 256, 32, 1) 2

---

conv2d_9 (Conv2D) (None, 512, 32, 1) 2097664

---

re_lu_4 (ReLU) (None, 512, 32, 1) 0

---

dropout_9 (Dropout) (None, 512, 32, 1) 0

---

instance_normalization_4 (In (None, 512, 32, 1) 2

---

conv2d_10 (Conv2D) (None, 512, 32, 1) 4194816

---

re_lu_5 (ReLU) (None, 512, 32, 1) 0

---

dropout_10 (Dropout) (None, 512, 32, 1) 0

---

instance_normalization_5 (In (None, 512, 32, 1) 2

---

conv2d_11 (Conv2D) (None, 512, 32, 1) 4194816

---

re_lu_6 (ReLU) (None, 512, 32, 1) 0

---

dropout_11 (Dropout) (None, 512, 32, 1) 0

---

instance_normalization_6 (In (None, 512, 32, 1) 2

---

conv2d_12 (Conv2D) (None, 512, 32, 1) 4194816

---

re_lu_7 (ReLU) (None, 512, 32, 1) 0

---

dropout_12 (Dropout) (None, 512, 32, 1) 0

---

instance_normalization_7 (In (None, 512, 32, 1) 2

---

conv2d_13 (Conv2D) (None, 512, 32, 1) 4194816

---

re_lu_8 (ReLU) (None, 512, 32, 1) 0

---

dropout_13 (Dropout) (None, 512, 32, 1) 0

---

instance_normalization_8 (In (None, 512, 32, 1) 2

---

conv2d_14 (Conv2D) (None, 512, 32, 1) 4194816

---

re_lu_9 (ReLU) (None, 512, 32, 1) 0

---

dropout_14 (Dropout) (None, 512, 32, 1) 0

---

instance_normalization_9 (In (None, 512, 32, 1) 2

---

conv2d_15 (Conv2D) (None, 512, 32, 1) 4194816

---

re_lu_10 (ReLU) (None, 512, 32, 1) 0

---

dropout_15 (Dropout) (None, 512, 32, 1) 0

---

instance_normalization_10 (I (None, 512, 32, 1) 2

---

conv2d_16 (Conv2D) (None, 512, 32, 1) 4194816

---

re_lu_11 (ReLU) (None, 512, 32, 1) 0

---

dropout_16 (Dropout) (None, 512, 32, 1) 0

---

instance_normalization_11 (I (None, 512, 32, 1) 2

---

conv2d_transpose_1 (Conv2DTr (None, 256, 64, 2) 2097408

---

re_lu_12 (ReLU) (None, 256, 64, 2) 0

---

conv2d_transpose_2 (Conv2DTr (None, 128, 128, 4) 524416

---

re_lu_13 (ReLU) (None, 128, 128, 4) 0

---

conv2d_17 (Conv2D) (None, 128, 128, 4) 262272

---

re_lu_14 (ReLU) (None, 128, 128, 4) 0

---

dropout_17 (Dropout) (None, 128, 128, 4) 0

---

instance_normalization_12 (I (None, 128, 128, 4) 2

---

conv2d_18 (Conv2D) (None, 64, 128, 4) 131136

---

re_lu_15 (ReLU) (None, 64, 128, 4) 0

---

dropout_18 (Dropout) (None, 64, 128, 4) 0

---

instance_normalization_13 (I (None, 64, 128, 4) 2

---

conv2d_19 (Conv2D) (None, 3, 128, 4) 3075

Total params: 35,545,117
Trainable params: 35,545,117
Non-trainable params: 0

---

summary of DCRM

---

Layer (type) Output Shape Param #

input_1 (InputLayer) (None, 256, 128, 3) 0

---

conv2d_1 (Conv2D) (None, 32, 64, 2) 204832

---

leaky_re_lu_1 (LeakyReLU) (None, 32, 64, 2) 0

---

dropout_1 (Dropout) (None, 32, 64, 2) 0

---

conv2d_2 (Conv2D) (None, 64, 32, 1) 51264

---

leaky_re_lu_2 (LeakyReLU) (None, 64, 32, 1) 0

---

dropout_2 (Dropout) (None, 64, 32, 1) 0

---

conv2d_3 (Conv2D) (None, 64, 16, 1) 102464

---

leaky_re_lu_3 (LeakyReLU) (None, 64, 16, 1) 0

---

dropout_3 (Dropout) (None, 64, 16, 1) 0

---

conv2d_4 (Conv2D) (None, 128, 8, 1) 204928

---

leaky_re_lu_4 (LeakyReLU) (None, 128, 8, 1) 0

---

dropout_4 (Dropout) (None, 128, 8, 1) 0

---

conv2d_5 (Conv2D) (None, 128, 4, 1) 409728

---

leaky_re_lu_5 (LeakyReLU) (None, 128, 4, 1) 0

---

dropout_5 (Dropout) (None, 128, 4, 1) 0

---

flatten_1 (Flatten) (None, 512) 0

---

dense_1 (Dense) (None, 1024) 525312

---

dense_2 (Dense) (None, 1) 1025

Total params: 1,499,553
Trainable params: 1,499,553
Non-trainable params: 0

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