scisharp
/
TensorFlow.NET
Not watched
1
0
Fork 0
Code
Releases 21 Wiki evaluate Activity
Issues 0 Pull Requests 0 Datasets Model Cloudbrain HPC
Browse Source

Merge pull request #1215 from novikov-alexander/alnovi/pythontests_common 

refactor: python test common class moved to a separate common assembly
pull/1234/head
Longzhi Wang GitHub 1 year ago
parent
59b08cab05 7968dc360f
commit
8cab730f98
No known key found for this signature in database GPG Key ID: 4AEE18F83AFDEB23
11 changed files with 97 additions and 497 deletions
Split View
Diff Options
Show Stats Download Patch File Download Diff File
  1. +22
    -1
      TensorFlow.NET.sln
  2. +1
    -1
      test/TensorFlow.Kernel.UnitTest/TensorFlow.Kernel.UnitTest.csproj
  3. +1
    -21
      test/TensorFlowNET.Graph.UnitTest/GradientTest/GradientTest.cs
  4. +0
    -448
      test/TensorFlowNET.Graph.UnitTest/PythonTest.cs
  5. +2
    -1
      test/TensorFlowNET.Graph.UnitTest/TensorFlowNET.Graph.UnitTest.csproj
  6. +2
    -1
      test/TensorFlowNET.Keras.UnitTest/Tensorflow.Keras.UnitTest.csproj
  7. +1
    -1
      test/TensorFlowNET.Native.UnitTest/Tensorflow.Native.UnitTest.csproj
  8. +1
    -0
      test/TensorFlowNET.UnitTest/Tensorflow.Binding.UnitTest.csproj
  9. +42
    -22
      test/Tensorflow.UnitTest/PythonTest.cs
  10. +24
    -0
      test/Tensorflow.UnitTest/Tensorflow.UnitTest.csproj
  11. +1
    -1
      test/TensorflowNET.Hub.Unittest/Tensorflow.Hub.Unittest.csproj

+ 22
- 1
TensorFlow.NET.sln View File

@@ -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}


+ 1
- 1
test/TensorFlow.Kernel.UnitTest/TensorFlow.Kernel.UnitTest.csproj View File

@@ -10,7 +10,7 @@
</PropertyGroup>

<ItemGroup>
<PackageReference Include="Microsoft.NET.Test.Sdk" Version="17.5.0" />
<PackageReference Include="Microsoft.NET.Test.Sdk" Version="17.6.3" />
<PackageReference Include="MSTest.TestAdapter" Version="2.2.10" />
<PackageReference Include="MSTest.TestFramework" Version="2.2.10" />
<PackageReference Include="coverlet.collector" Version="3.2.0" />


+ 1
- 21
test/TensorFlowNET.Graph.UnitTest/GradientTest/GradientTest.cs View File

@@ -625,25 +625,6 @@ namespace TensorFlowNET.UnitTest.Gradient
}
}

// 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 @@ namespace TensorFlowNET.UnitTest.Gradient
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);
}
}
}


+ 0
- 448
test/TensorFlowNET.Graph.UnitTest/PythonTest.cs View File

@@ -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
{
/// <summary>
/// Use as base class for test classes to get additional assertions
/// </summary>
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<object>().ToArray();
var g = given.OfType<object>().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<object>(), (e[i] as NDArray).GetData<object>());
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<object>(), (expected as NDArray).GetData<object>());
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;
}
}

/// <summary>
/// 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)
///
/// </summary>
public T evaluate<T>(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<object, object>((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>(T[] a, T[] b)
{
Assert.IsTrue(Enumerable.SequenceEqual(a, b));
}
}
}

+ 2
- 1
test/TensorFlowNET.Graph.UnitTest/TensorFlowNET.Graph.UnitTest.csproj View File

@@ -24,7 +24,7 @@
</PropertyGroup>

<ItemGroup>
<PackageReference Include="Microsoft.NET.Test.Sdk" Version="17.3.2" />
<PackageReference Include="Microsoft.NET.Test.Sdk" Version="17.6.3" />
<PackageReference Include="MSTest.TestAdapter" Version="2.2.10" />
<PackageReference Include="MSTest.TestFramework" Version="2.2.10" />
<PackageReference Include="coverlet.collector" Version="3.2.0">
@@ -36,6 +36,7 @@
<ItemGroup>
<ProjectReference Include="..\..\src\TensorFlowNET.Core\Tensorflow.Binding.csproj" />
<ProjectReference Include="..\..\tools\Tensorflow.UnitTest.RedistHolder\Tensorflow.UnitTest.RedistHolder.csproj" />
<ProjectReference Include="..\Tensorflow.UnitTest\Tensorflow.UnitTest.csproj" />
<ProjectReference Include="..\TensorFlowNET.Keras.UnitTest\Tensorflow.Keras.UnitTest.csproj" />
</ItemGroup>



+ 2
- 1
test/TensorFlowNET.Keras.UnitTest/Tensorflow.Keras.UnitTest.csproj View File

@@ -13,7 +13,7 @@
</PropertyGroup>

<ItemGroup>
<PackageReference Include="Microsoft.NET.Test.Sdk" Version="17.3.2" />
<PackageReference Include="Microsoft.NET.Test.Sdk" Version="17.6.3" />
<PackageReference Include="MSTest.TestAdapter" Version="2.2.10" />
<PackageReference Include="MSTest.TestFramework" Version="2.2.10" />
<PackageReference Include="coverlet.collector" Version="3.2.0">
@@ -25,6 +25,7 @@
<ItemGroup>
<ProjectReference Include="..\..\src\TensorFlowNET.Keras\Tensorflow.Keras.csproj" />
<ProjectReference Include="..\..\tools\Tensorflow.UnitTest.RedistHolder\Tensorflow.UnitTest.RedistHolder.csproj" />
<ProjectReference Include="..\TensorFlow.Kernel.UnitTest\TensorFlow.Kernel.UnitTest.csproj" />
</ItemGroup>

<ItemGroup>


+ 1
- 1
test/TensorFlowNET.Native.UnitTest/Tensorflow.Native.UnitTest.csproj View File

@@ -44,7 +44,7 @@

<ItemGroup>
<PackageReference Include="FluentAssertions" Version="5.10.3" />
<PackageReference Include="Microsoft.NET.Test.Sdk" Version="17.3.2" />
<PackageReference Include="Microsoft.NET.Test.Sdk" Version="17.6.3" />
<PackageReference Include="MSTest.TestAdapter" Version="2.2.10" />
<PackageReference Include="MSTest.TestFramework" Version="2.2.10" />
<PackageReference Include="coverlet.collector" Version="3.2.0">


+ 1
- 0
test/TensorFlowNET.UnitTest/Tensorflow.Binding.UnitTest.csproj View File

@@ -51,6 +51,7 @@
<ProjectReference Include="..\..\src\TensorFlowNET.Core\Tensorflow.Binding.csproj" />
<ProjectReference Include="..\..\src\TensorFlowNET.Text\Tensorflow.Text.csproj" />
<ProjectReference Include="..\..\tools\Tensorflow.UnitTest.RedistHolder\Tensorflow.UnitTest.RedistHolder.csproj" />
<ProjectReference Include="..\Tensorflow.UnitTest\Tensorflow.UnitTest.csproj" />
</ItemGroup>

<ItemGroup>


test/TensorFlowNET.UnitTest/PythonTest.cs → test/Tensorflow.UnitTest/PythonTest.cs View File

@@ -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 @@ namespace TensorFlowNET.UnitTest
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 @@ namespace TensorFlowNET.UnitTest

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 @@ namespace TensorFlowNET.UnitTest
{
_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 @@ namespace TensorFlowNET.UnitTest

#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 @@ namespace TensorFlowNET.UnitTest
// 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 @@ namespace TensorFlowNET.UnitTest
/// </summary>
public T evaluate<T>(Tensor tensor)
{
object result = null;
object? result = null;
// if context.executing_eagerly():
// return self._eval_helper(tensors)
// else:
@@ -276,8 +296,8 @@ namespace TensorFlowNET.UnitTest


///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 @@ namespace TensorFlowNET.UnitTest
}

//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 @@ namespace TensorFlowNET.UnitTest
// 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 @@ namespace TensorFlowNET.UnitTest
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 @@ namespace TensorFlowNET.UnitTest
}

// 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<object, object>((config) =>
{
@@ -451,8 +471,8 @@ namespace TensorFlowNET.UnitTest
}

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 @@ namespace TensorFlowNET.UnitTest
session. Maybe create a new session with
self.session()");
}
return _cached_session;
return self._cached_session;
}
}


+ 24
- 0
test/Tensorflow.UnitTest/Tensorflow.UnitTest.csproj View File

@@ -0,0 +1,24 @@
<Project Sdk="Microsoft.NET.Sdk">

<PropertyGroup>
<TargetFramework>net6.0</TargetFramework>
<ImplicitUsings>enable</ImplicitUsings>
<Nullable>enable</Nullable>

<IsPackable>false</IsPackable>
<IsTestProject>true</IsTestProject>
</PropertyGroup>

<ItemGroup>
<PackageReference Include="Microsoft.NET.Test.Sdk" Version="17.6.3" />
<PackageReference Include="MSTest.TestAdapter" Version="2.2.10" />
<PackageReference Include="MSTest.TestFramework" Version="2.2.10" />
<PackageReference Include="coverlet.collector" Version="3.2.0" />
</ItemGroup>

<ItemGroup>
<ProjectReference Include="..\..\src\TensorFlowNET.Core\Tensorflow.Binding.csproj" />
<ProjectReference Include="..\..\tools\Tensorflow.UnitTest.RedistHolder\Tensorflow.UnitTest.RedistHolder.csproj" />
</ItemGroup>

</Project>

+ 1
- 1
test/TensorflowNET.Hub.Unittest/Tensorflow.Hub.Unittest.csproj View File

@@ -9,7 +9,7 @@
</PropertyGroup>

<ItemGroup>
<PackageReference Include="Microsoft.NET.Test.Sdk" Version="17.3.2" />
<PackageReference Include="Microsoft.NET.Test.Sdk" Version="17.6.3" />
<PackageReference Include="MSTest.TestAdapter" Version="2.2.10" />
<PackageReference Include="MSTest.TestFramework" Version="2.2.10" />
<PackageReference Include="coverlet.collector" Version="3.1.2" />


Write Preview
Loading…
Cancel
Save