diff --git a/TensorFlow.NET.sln b/TensorFlow.NET.sln index 214b039d4..e0c273568 100644 --- a/TensorFlow.NET.sln +++ b/TensorFlow.NET.sln @@ -39,7 +39,9 @@ Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Tensorflow.Benchmark", "too EndProject Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Tensorflow.Console", "tools\TensorFlowNET.Console\Tensorflow.Console.csproj", "{1DC32255-BA1F-4D6D-A9C9-5BD5ED71CAA0}" EndProject -Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "TensorFlow.Kernel.UnitTest", "test\TensorFlow.Kernel.UnitTest\TensorFlow.Kernel.UnitTest.csproj", "{654A027D-1364-4729-880B-144DFE1FF5BB}" +Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "TensorFlow.Kernel.UnitTest", "test\TensorFlow.Kernel.UnitTest\TensorFlow.Kernel.UnitTest.csproj", "{654A027D-1364-4729-880B-144DFE1FF5BB}" +EndProject +Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Tensorflow.UnitTest", "test\Tensorflow.UnitTest\Tensorflow.UnitTest.csproj", "{A73DF5A6-866E-4AED-9017-AA2EE86368C4}" EndProject Global GlobalSection(SolutionConfigurationPlatforms) = preSolution @@ -342,6 +344,24 @@ Global {654A027D-1364-4729-880B-144DFE1FF5BB}.Release|x64.Build.0 = Release|Any CPU {654A027D-1364-4729-880B-144DFE1FF5BB}.Release|x86.ActiveCfg = Release|Any CPU {654A027D-1364-4729-880B-144DFE1FF5BB}.Release|x86.Build.0 = Release|Any CPU + {A73DF5A6-866E-4AED-9017-AA2EE86368C4}.Debug|Any CPU.ActiveCfg = Debug|Any CPU + {A73DF5A6-866E-4AED-9017-AA2EE86368C4}.Debug|Any CPU.Build.0 = Debug|Any CPU + {A73DF5A6-866E-4AED-9017-AA2EE86368C4}.Debug|x64.ActiveCfg = Debug|Any CPU + {A73DF5A6-866E-4AED-9017-AA2EE86368C4}.Debug|x64.Build.0 = Debug|Any CPU + {A73DF5A6-866E-4AED-9017-AA2EE86368C4}.Debug|x86.ActiveCfg = Debug|Any CPU + {A73DF5A6-866E-4AED-9017-AA2EE86368C4}.Debug|x86.Build.0 = Debug|Any CPU + {A73DF5A6-866E-4AED-9017-AA2EE86368C4}.GPU|Any CPU.ActiveCfg = Debug|Any CPU + {A73DF5A6-866E-4AED-9017-AA2EE86368C4}.GPU|Any CPU.Build.0 = Debug|Any CPU + {A73DF5A6-866E-4AED-9017-AA2EE86368C4}.GPU|x64.ActiveCfg = Debug|Any CPU + {A73DF5A6-866E-4AED-9017-AA2EE86368C4}.GPU|x64.Build.0 = Debug|Any CPU + {A73DF5A6-866E-4AED-9017-AA2EE86368C4}.GPU|x86.ActiveCfg = Debug|Any CPU + {A73DF5A6-866E-4AED-9017-AA2EE86368C4}.GPU|x86.Build.0 = Debug|Any CPU + {A73DF5A6-866E-4AED-9017-AA2EE86368C4}.Release|Any CPU.ActiveCfg = Release|Any CPU + {A73DF5A6-866E-4AED-9017-AA2EE86368C4}.Release|Any CPU.Build.0 = Release|Any CPU + {A73DF5A6-866E-4AED-9017-AA2EE86368C4}.Release|x64.ActiveCfg = Release|Any CPU + {A73DF5A6-866E-4AED-9017-AA2EE86368C4}.Release|x64.Build.0 = Release|Any CPU + {A73DF5A6-866E-4AED-9017-AA2EE86368C4}.Release|x86.ActiveCfg = Release|Any CPU + {A73DF5A6-866E-4AED-9017-AA2EE86368C4}.Release|x86.Build.0 = Release|Any CPU EndGlobalSection GlobalSection(SolutionProperties) = preSolution HideSolutionNode = FALSE @@ -363,6 +383,7 @@ Global {C23563DB-FE21-48E7-A411-87A109E4A899} = {E1A5D2B7-10AF-4876-85C0-7714EF274214} {1DC32255-BA1F-4D6D-A9C9-5BD5ED71CAA0} = {E1A5D2B7-10AF-4876-85C0-7714EF274214} {654A027D-1364-4729-880B-144DFE1FF5BB} = {1B0918B9-65AD-4F34-A287-AF4597B27DBD} + {A73DF5A6-866E-4AED-9017-AA2EE86368C4} = {1B0918B9-65AD-4F34-A287-AF4597B27DBD} EndGlobalSection GlobalSection(ExtensibilityGlobals) = postSolution SolutionGuid = {2DEAD3CC-486B-4918-A607-50B0DE7B114A} diff --git a/test/TensorFlow.Kernel.UnitTest/TensorFlow.Kernel.UnitTest.csproj b/test/TensorFlow.Kernel.UnitTest/TensorFlow.Kernel.UnitTest.csproj index 21b2731b7..461993408 100644 --- a/test/TensorFlow.Kernel.UnitTest/TensorFlow.Kernel.UnitTest.csproj +++ b/test/TensorFlow.Kernel.UnitTest/TensorFlow.Kernel.UnitTest.csproj @@ -10,7 +10,7 @@ - + diff --git a/test/TensorFlowNET.Graph.UnitTest/GradientTest/GradientTest.cs b/test/TensorFlowNET.Graph.UnitTest/GradientTest/GradientTest.cs index e2d6db912..cea6de172 100644 --- a/test/TensorFlowNET.Graph.UnitTest/GradientTest/GradientTest.cs +++ b/test/TensorFlowNET.Graph.UnitTest/GradientTest/GradientTest.cs @@ -625,25 +625,6 @@ public void testPartialDerivatives() } } - // TODO: remove when np.testing.assert_allclose(a, b) is implemented - private class CollectionComparer : System.Collections.IComparer - { - private readonly double _epsilon = 1e-07; - - public int Compare(object x, object y) - { - var a = (double)x; - var b = (double)y; - - double delta = Math.Abs(a - b); - if (delta < _epsilon) - { - return 0; - } - return a.CompareTo(b); - } - } - private struct Case { public Tensor[] grad1; @@ -748,8 +729,7 @@ Tensor[] gradients(Tensor[] ys, Tensor[] xs, Tensor[] stop_gradients = null) var npgrad2 = result[1]; foreach (var (a, b) in npgrad1.Zip(npgrad2)) { - // TODO: np.testing.assert_allclose(a, b); - CollectionAssert.AreEqual(a.ToArray(), b.ToArray(), new CollectionComparer()); + self.assertAllClose(a, b); } } } diff --git a/test/TensorFlowNET.Graph.UnitTest/PythonTest.cs b/test/TensorFlowNET.Graph.UnitTest/PythonTest.cs deleted file mode 100644 index ccf59f5ae..000000000 --- a/test/TensorFlowNET.Graph.UnitTest/PythonTest.cs +++ /dev/null @@ -1,448 +0,0 @@ -using Microsoft.VisualStudio.TestTools.UnitTesting; -using Newtonsoft.Json.Linq; -using Tensorflow.NumPy; -using System; -using System.Collections; -using System.Linq; -using Tensorflow; -using static Tensorflow.Binding; -using OneOf.Types; -using System.Collections.Generic; - -namespace TensorFlowNET.UnitTest -{ - /// - /// Use as base class for test classes to get additional assertions - /// - public class PythonTest - { - #region python compatibility layer - protected PythonTest self { get => this; } - protected int None => -1; - #endregion - - #region pytest assertions - - public void assertItemsEqual(ICollection given, ICollection expected) - { - if (given is Hashtable && expected is Hashtable) - { - Assert.AreEqual(JObject.FromObject(expected).ToString(), JObject.FromObject(given).ToString()); - return; - } - Assert.IsNotNull(expected); - Assert.IsNotNull(given); - var e = expected.OfType().ToArray(); - var g = given.OfType().ToArray(); - Assert.AreEqual(e.Length, g.Length, $"The collections differ in length expected {e.Length} but got {g.Length}"); - for (int i = 0; i < e.Length; i++) - { - /*if (g[i] is NDArray && e[i] is NDArray) - assertItemsEqual((g[i] as NDArray).GetData(), (e[i] as NDArray).GetData()); - else*/ - if (e[i] is ICollection && g[i] is ICollection) - assertEqual(g[i], e[i]); - else - Assert.AreEqual(e[i], g[i], $"Items differ at index {i}, expected {e[i]} but got {g[i]}"); - } - } - - public void assertAllEqual(ICollection given, ICollection expected) - { - assertItemsEqual(given, expected); - } - - public void assertFloat32Equal(float expected, float actual, string msg) - { - float eps = 1e-6f; - Assert.IsTrue(Math.Abs(expected - actual) < eps * Math.Max(1.0f, Math.Abs(expected)), $"{msg}: expected {expected} vs actual {actual}"); - } - - public void assertFloat64Equal(double expected, double actual, string msg) - { - double eps = 1e-16f; - Assert.IsTrue(Math.Abs(expected - actual) < eps * Math.Max(1.0f, Math.Abs(expected)), $"{msg}: expected {expected} vs actual {actual}"); - } - - public void assertEqual(object given, object expected) - { - /*if (given is NDArray && expected is NDArray) - { - assertItemsEqual((given as NDArray).GetData(), (expected as NDArray).GetData()); - return; - }*/ - if (given is Hashtable && expected is Hashtable) - { - Assert.AreEqual(JObject.FromObject(expected).ToString(), JObject.FromObject(given).ToString()); - return; - } - if (given is ICollection && expected is ICollection) - { - assertItemsEqual(given as ICollection, expected as ICollection); - return; - } - if (given is float && expected is float) - { - assertFloat32Equal((float)expected, (float)given, ""); - return; - } - if (given is double && expected is double) - { - assertFloat64Equal((double)expected, (double)given, ""); - return; - } - Assert.AreEqual(expected, given); - } - - public void assertEquals(object given, object expected) - { - assertEqual(given, expected); - } - - public void assert(object given) - { - if (given is bool) - Assert.IsTrue((bool)given); - Assert.IsNotNull(given); - } - - public void assertIsNotNone(object given) - { - Assert.IsNotNull(given); - } - - public void assertFalse(bool cond) - { - Assert.IsFalse(cond); - } - - public void assertTrue(bool cond) - { - Assert.IsTrue(cond); - } - - public void assertAllClose(NDArray array1, NDArray array2, double eps = 1e-5) - { - Assert.IsTrue(np.allclose(array1, array2, rtol: eps)); - } - - public void assertAllClose(double value, NDArray array2, double eps = 1e-5) - { - var array1 = np.ones_like(array2) * value; - // Assert.IsTrue(np.allclose(array1, array2, rtol: eps)); - } - - public void assertProtoEquals(object toProto, object o) - { - throw new NotImplementedException(); - } - - #endregion - - #region tensor evaluation and test session - - private Session _cached_session = null; - private Graph _cached_graph = null; - private object _cached_config = null; - private bool _cached_force_gpu = false; - - private void _ClearCachedSession() - { - if (self._cached_session != null) - { - self._cached_session.Dispose(); - self._cached_session = null; - } - } - - - //protected object _eval_helper(Tensor[] tensors) - //{ - // if (tensors == null) - // return null; - // return nest.map_structure(self._eval_tensor, tensors); - //} - - protected object _eval_tensor(object tensor) - { - if (tensor == null) - return None; - //else if (callable(tensor)) - // return self._eval_helper(tensor()) - else - { - try - { - //TODO: - // if sparse_tensor.is_sparse(tensor): - // return sparse_tensor.SparseTensorValue(tensor.indices, tensor.values, - // tensor.dense_shape) - //return (tensor as Tensor).numpy(); - } - catch (Exception) - { - throw new ValueError("Unsupported type: " + tensor.GetType()); - } - return null; - } - } - - /// - /// This function is used in many original tensorflow unit tests to evaluate tensors - /// in a test session with special settings (for instance constant folding off) - /// - /// - public T evaluate(Tensor tensor) - { - object result = null; - // if context.executing_eagerly(): - // return self._eval_helper(tensors) - // else: - { - var sess = tf.Session(); - var ndarray = tensor.eval(sess); - if (typeof(T) == typeof(double)) - { - double x = ndarray; - result = x; - } - else if (typeof(T) == typeof(int)) - { - int x = ndarray; - result = x; - } - else - { - result = ndarray; - } - - return (T)result; - } - } - - ///Returns a TensorFlow Session for use in executing tests. - public Session cached_session( - Graph graph = null, object config = null, bool use_gpu = false, bool force_gpu = false) - { - // This method behaves differently than self.session(): for performance reasons - // `cached_session` will by default reuse the same session within the same - // test.The session returned by this function will only be closed at the end - // of the test(in the TearDown function). - - // Use the `use_gpu` and `force_gpu` options to control where ops are run.If - // `force_gpu` is True, all ops are pinned to `/ device:GPU:0`. Otherwise, if - // `use_gpu` is True, TensorFlow tries to run as many ops on the GPU as - // possible.If both `force_gpu and `use_gpu` are False, all ops are pinned to - // the CPU. - - // Example: - // python - // class MyOperatorTest(test_util.TensorFlowTestCase) : - // def testMyOperator(self): - // with self.cached_session() as sess: - // valid_input = [1.0, 2.0, 3.0, 4.0, 5.0] - // result = MyOperator(valid_input).eval() - // self.assertEqual(result, [1.0, 2.0, 3.0, 5.0, 8.0] - // invalid_input = [-1.0, 2.0, 7.0] - // with self.assertRaisesOpError("negative input not supported"): - // MyOperator(invalid_input).eval() - - - // Args: - // graph: Optional graph to use during the returned session. - // config: An optional config_pb2.ConfigProto to use to configure the - // session. - // use_gpu: If True, attempt to run as many ops as possible on GPU. - // force_gpu: If True, pin all ops to `/device:GPU:0`. - - // Yields: - // A Session object that should be used as a context manager to surround - // the graph building and execution code in a test case. - - - // TODO: - // if context.executing_eagerly(): - // return self._eval_helper(tensors) - // else: - { - var sess = self._get_cached_session( - graph, config, force_gpu, crash_if_inconsistent_args: true); - using var cached = self._constrain_devices_and_set_default(sess, use_gpu, force_gpu); - return cached; - } - } - - //Returns a TensorFlow Session for use in executing tests. - public Session session(Graph graph = null, object config = null, bool use_gpu = false, bool force_gpu = false) - { - //Note that this will set this session and the graph as global defaults. - - //Use the `use_gpu` and `force_gpu` options to control where ops are run.If - //`force_gpu` is True, all ops are pinned to `/device:GPU:0`. Otherwise, if - //`use_gpu` is True, TensorFlow tries to run as many ops on the GPU as - //possible.If both `force_gpu and `use_gpu` are False, all ops are pinned to - //the CPU. - - //Example: - //```python - //class MyOperatorTest(test_util.TensorFlowTestCase): - // def testMyOperator(self): - // with self.session(use_gpu= True): - // valid_input = [1.0, 2.0, 3.0, 4.0, 5.0] - // result = MyOperator(valid_input).eval() - // self.assertEqual(result, [1.0, 2.0, 3.0, 5.0, 8.0] - // invalid_input = [-1.0, 2.0, 7.0] - // with self.assertRaisesOpError("negative input not supported"): - // MyOperator(invalid_input).eval() - //``` - - //Args: - // graph: Optional graph to use during the returned session. - // config: An optional config_pb2.ConfigProto to use to configure the - // session. - // use_gpu: If True, attempt to run as many ops as possible on GPU. - // force_gpu: If True, pin all ops to `/device:GPU:0`. - - //Yields: - // A Session object that should be used as a context manager to surround - // the graph building and execution code in a test case. - - Session s = null; - //if (context.executing_eagerly()) - // yield None - //else - //{ - s = self._create_session(graph, config, force_gpu); - //} - return s.as_default(); - } - - private Session _constrain_devices_and_set_default(Session sess, bool use_gpu, bool force_gpu) - { - // Set the session and its graph to global default and constrain devices.""" - if (tf.executing_eagerly()) - return null; - else { - sess.graph.as_default(); - sess.as_default(); - { - if (force_gpu) - { - // TODO: - - // Use the name of an actual device if one is detected, or - // '/device:GPU:0' otherwise - /* var gpu_name = gpu_device_name(); - if (!gpu_name) - gpu_name = "/device:GPU:0" - using (sess.graph.device(gpu_name)) { - yield return sess; - }*/ - return sess; - } - else if (use_gpu) - return sess; - else - using (sess.graph.device("/device:CPU:0")) - return sess; - } - - } - } - - // See session() for details. - private Session _create_session(Graph graph, object cfg, bool forceGpu) - { - var prepare_config = new Func((config) => - { - // """Returns a config for sessions. - // Args: - // config: An optional config_pb2.ConfigProto to use to configure the - // session. - // Returns: - // A config_pb2.ConfigProto object. - - //TODO: config - - // # use_gpu=False. Currently many tests rely on the fact that any device - // # will be used even when a specific device is supposed to be used. - // allow_soft_placement = not force_gpu - // if config is None: - // config = config_pb2.ConfigProto() - // config.allow_soft_placement = allow_soft_placement - // config.gpu_options.per_process_gpu_memory_fraction = 0.3 - // elif not allow_soft_placement and config.allow_soft_placement: - // config_copy = config_pb2.ConfigProto() - // config_copy.CopyFrom(config) - // config = config_copy - // config.allow_soft_placement = False - // # Don't perform optimizations for tests so we don't inadvertently run - // # gpu ops on cpu - // config.graph_options.optimizer_options.opt_level = -1 - // # Disable Grappler constant folding since some tests & benchmarks - // # use constant input and become meaningless after constant folding. - // # DO NOT DISABLE GRAPPLER OPTIMIZERS WITHOUT CONSULTING WITH THE - // # GRAPPLER TEAM. - // config.graph_options.rewrite_options.constant_folding = ( - // rewriter_config_pb2.RewriterConfig.OFF) - // config.graph_options.rewrite_options.pin_to_host_optimization = ( - // rewriter_config_pb2.RewriterConfig.OFF) - return config; - }); - //TODO: use this instead of normal session - //return new ErrorLoggingSession(graph = graph, config = prepare_config(config)) - return new Session(graph);//, config = prepare_config(config)) - } - - private Session _get_cached_session( - Graph graph = null, - object config = null, - bool force_gpu = false, - bool crash_if_inconsistent_args = true) - { - // See cached_session() for documentation. - if (self._cached_session == null) - { - var sess = self._create_session(graph, config, force_gpu); - self._cached_session = sess; - self._cached_graph = graph; - self._cached_config = config; - self._cached_force_gpu = force_gpu; - return sess; - } else { - - if (crash_if_inconsistent_args && !self._cached_graph.Equals(graph)) - throw new ValueError(@"The graph used to get the cached session is - different than the one that was used to create the - session. Maybe create a new session with - self.session()"); - if (crash_if_inconsistent_args && !self._cached_config.Equals(config)) { - throw new ValueError(@"The config used to get the cached session is - different than the one that was used to create the - session. Maybe create a new session with - self.session()"); - } - if (crash_if_inconsistent_args && !self._cached_force_gpu.Equals(force_gpu)) { - throw new ValueError(@"The force_gpu value used to get the cached session is - different than the one that was used to create the - session. Maybe create a new session with - self.session()"); - } - return _cached_session; - } - } - - [TestCleanup] - public void Cleanup() - { - _ClearCachedSession(); - } - - #endregion - - public void AssetSequenceEqual(T[] a, T[] b) - { - Assert.IsTrue(Enumerable.SequenceEqual(a, b)); - } - } -} diff --git a/test/TensorFlowNET.Graph.UnitTest/TensorFlowNET.Graph.UnitTest.csproj b/test/TensorFlowNET.Graph.UnitTest/TensorFlowNET.Graph.UnitTest.csproj index 78a0938c5..40dd53f74 100644 --- a/test/TensorFlowNET.Graph.UnitTest/TensorFlowNET.Graph.UnitTest.csproj +++ b/test/TensorFlowNET.Graph.UnitTest/TensorFlowNET.Graph.UnitTest.csproj @@ -24,7 +24,7 @@ - + @@ -36,6 +36,7 @@ + diff --git a/test/TensorFlowNET.Keras.UnitTest/Tensorflow.Keras.UnitTest.csproj b/test/TensorFlowNET.Keras.UnitTest/Tensorflow.Keras.UnitTest.csproj index 3910eba1c..edac1c2ff 100644 --- a/test/TensorFlowNET.Keras.UnitTest/Tensorflow.Keras.UnitTest.csproj +++ b/test/TensorFlowNET.Keras.UnitTest/Tensorflow.Keras.UnitTest.csproj @@ -13,7 +13,7 @@ - + @@ -25,6 +25,7 @@ + diff --git a/test/TensorFlowNET.Native.UnitTest/Tensorflow.Native.UnitTest.csproj b/test/TensorFlowNET.Native.UnitTest/Tensorflow.Native.UnitTest.csproj index a4f1ec567..c054a8707 100644 --- a/test/TensorFlowNET.Native.UnitTest/Tensorflow.Native.UnitTest.csproj +++ b/test/TensorFlowNET.Native.UnitTest/Tensorflow.Native.UnitTest.csproj @@ -44,7 +44,7 @@ - + diff --git a/test/TensorFlowNET.UnitTest/Tensorflow.Binding.UnitTest.csproj b/test/TensorFlowNET.UnitTest/Tensorflow.Binding.UnitTest.csproj index 7a6a7f92c..5264cb104 100644 --- a/test/TensorFlowNET.UnitTest/Tensorflow.Binding.UnitTest.csproj +++ b/test/TensorFlowNET.UnitTest/Tensorflow.Binding.UnitTest.csproj @@ -51,6 +51,7 @@ + diff --git a/test/TensorFlowNET.UnitTest/PythonTest.cs b/test/Tensorflow.UnitTest/PythonTest.cs similarity index 90% rename from test/TensorFlowNET.UnitTest/PythonTest.cs rename to test/Tensorflow.UnitTest/PythonTest.cs index 090ef097c..dff652933 100644 --- a/test/TensorFlowNET.UnitTest/PythonTest.cs +++ b/test/Tensorflow.UnitTest/PythonTest.cs @@ -1,12 +1,9 @@ using Microsoft.VisualStudio.TestTools.UnitTesting; using Newtonsoft.Json.Linq; using Tensorflow.NumPy; -using System; using System.Collections; -using System.Linq; using Tensorflow; using static Tensorflow.Binding; -using System.Collections.Generic; namespace TensorFlowNET.UnitTest { @@ -89,9 +86,9 @@ public void assertEqual(object given, object expected) Assert.AreEqual(JObject.FromObject(expected).ToString(), JObject.FromObject(given).ToString()); return; } - if (given is ICollection && expected is ICollection) + if (given is ICollection collectionGiven && expected is ICollection collectionExpected) { - assertItemsEqual(given as ICollection, expected as ICollection); + assertItemsEqual(collectionGiven, collectionExpected); return; } if (given is float && expected is float) @@ -136,13 +133,23 @@ public void assertTrue(bool cond) public void assertAllClose(NDArray array1, NDArray array2, double eps = 1e-5) { - Assert.IsTrue(np.allclose(array1, array2, rtol: eps)); + CollectionAssert.AreEqual(array1.ToArray(), array2.ToArray(), new CollectionComparer(eps)); + + //TODO: Assert.IsTrue(np.allclose(array1, array2, rtol: eps)); } public void assertAllClose(double value, NDArray array2, double eps = 1e-5) { + if (array2.shape.IsScalar) + { + double value2 = array2; + Assert.AreEqual(value, value2, eps); + return; + } var array1 = np.ones_like(array2) * value; - Assert.IsTrue(np.allclose(array1, array2, rtol: eps)); + CollectionAssert.AreEqual(array1.ToArray(), array2.ToArray(), new CollectionComparer(eps)); + + //TODO: Assert.IsTrue(np.allclose(array1, array2, rtol: eps)); } private class CollectionComparer : IComparer @@ -153,8 +160,21 @@ public CollectionComparer(double eps = 1e-06) { _epsilon = eps; } - public int Compare(object x, object y) + public int Compare(object? x, object? y) { + if (x == null && y == null) + { + return 0; + } + else if (x == null) + { + return -1; + } + else if (y == null) + { + return 1; + } + var a = (double)x; var b = (double)y; @@ -188,9 +208,9 @@ public void assertProtoEquals(object toProto, object o) #region tensor evaluation and test session - private Session _cached_session = null; - private Graph _cached_graph = null; - private object _cached_config = null; + private Session? _cached_session = null; + private Graph? _cached_graph = null; + private object? _cached_config = null; private bool _cached_force_gpu = false; private void _ClearCachedSession() @@ -209,7 +229,7 @@ private void _ClearCachedSession() // return nest.map_structure(self._eval_tensor, tensors); //} - protected object _eval_tensor(object tensor) + protected object? _eval_tensor(object tensor) { if (tensor == null) return None; @@ -240,7 +260,7 @@ protected object _eval_tensor(object tensor) /// public T evaluate(Tensor tensor) { - object result = null; + object? result = null; // if context.executing_eagerly(): // return self._eval_helper(tensors) // else: @@ -276,8 +296,8 @@ public T evaluate(Tensor tensor) ///Returns a TensorFlow Session for use in executing tests. - public Session cached_session( - Graph graph = null, object config = null, bool use_gpu = false, bool force_gpu = false) + public Session? cached_session( + Graph? graph = null, object? config = null, bool use_gpu = false, bool force_gpu = false) { // This method behaves differently than self.session(): for performance reasons // `cached_session` will by default reuse the same session within the same @@ -328,7 +348,7 @@ public Session cached_session( } //Returns a TensorFlow Session for use in executing tests. - public Session session(Graph graph = null, object config = null, bool use_gpu = false, bool force_gpu = false) + public Session session(Graph? graph = null, object? config = null, bool use_gpu = false, bool force_gpu = false) { //Note that this will set this session and the graph as global defaults. @@ -362,7 +382,7 @@ public Session session(Graph graph = null, object config = null, bool use_gpu = // A Session object that should be used as a context manager to surround // the graph building and execution code in a test case. - Session s = null; + Session? s = null; //if (context.executing_eagerly()) // yield None //else @@ -372,7 +392,7 @@ public Session session(Graph graph = null, object config = null, bool use_gpu = return s.as_default(); } - private Session _constrain_devices_and_set_default(Session sess, bool use_gpu, bool force_gpu) + private Session? _constrain_devices_and_set_default(Session sess, bool use_gpu, bool force_gpu) { // Set the session and its graph to global default and constrain devices.""" if (tf.executing_eagerly()) @@ -407,7 +427,7 @@ private Session _constrain_devices_and_set_default(Session sess, bool use_gpu, b } // See session() for details. - private Session _create_session(Graph graph, object cfg, bool forceGpu) + private Session _create_session(Graph? graph, object? cfg, bool forceGpu) { var prepare_config = new Func((config) => { @@ -451,8 +471,8 @@ private Session _create_session(Graph graph, object cfg, bool forceGpu) } private Session _get_cached_session( - Graph graph = null, - object config = null, + Graph? graph = null, + object? config = null, bool force_gpu = false, bool crash_if_inconsistent_args = true) { @@ -488,7 +508,7 @@ different than the one that was used to create the session. Maybe create a new session with self.session()"); } - return _cached_session; + return self._cached_session; } } diff --git a/test/Tensorflow.UnitTest/Tensorflow.UnitTest.csproj b/test/Tensorflow.UnitTest/Tensorflow.UnitTest.csproj new file mode 100644 index 000000000..9ad6bc7a5 --- /dev/null +++ b/test/Tensorflow.UnitTest/Tensorflow.UnitTest.csproj @@ -0,0 +1,24 @@ + + + + net6.0 + enable + enable + + false + true + + + + + + + + + + + + + + + diff --git a/test/TensorflowNET.Hub.Unittest/Tensorflow.Hub.Unittest.csproj b/test/TensorflowNET.Hub.Unittest/Tensorflow.Hub.Unittest.csproj index 4c3918e4a..c93b89256 100644 --- a/test/TensorflowNET.Hub.Unittest/Tensorflow.Hub.Unittest.csproj +++ b/test/TensorflowNET.Hub.Unittest/Tensorflow.Hub.Unittest.csproj @@ -9,7 +9,7 @@ - +