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Add test case for tf.transpose #673

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Merged
merged 2 commits into from
Dec 13, 2020
Merged

Add test case for tf.transpose #673

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ab4eff6
Add test case for tf.transpose
Banyc Dec 13, 2020
9072c1f
Add test case TypeMismatchedSliceAssign
Banyc Dec 13, 2020
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20 changes: 20 additions & 0 deletions test/TensorFlowNET.UnitTest/Basics/VariableTest.cs
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Original file line number Diff line number Diff line change
Expand Up @@ -83,6 +83,26 @@ public void SliceAssign()
Assert.AreEqual(nd[2], x[2].numpy());
}

[TestMethod, Ignore]
public void TypeMismatchedSliceAssign()
{
NDArray intNd = new int[]
{
1, -2, 3
};
NDArray doubleNd = new double[]
{
-5, 6, -7
};
var x = tf.Variable(doubleNd);

var slice = x[":"];
Assert.ThrowsException<System.Exception>(
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@Esther2013 Esther2013 Dec 13, 2020 •
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It's more clear if changing to ExpectedExceptionAttribute like below:

[TestMethod, Ignore]
[ExpectedException(typeof(System.Exception), "A userId of null was inappropriately allowed.")]
public void NullUserIdInConstructor()
{
   slice.assign(intNd);
}

// this statement exit without throwing any exception but the "test execution summary" seems not able to detect that.
() => slice.assign(intNd)
);
}

[TestMethod]
public void Accumulation()
{
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12 changes: 11 additions & 1 deletion test/TensorFlowNET.UnitTest/ManagedAPI/TensorOperate.cs
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Expand Up @@ -8,9 +8,19 @@ namespace TensorFlowNET.UnitTest.ManagedAPI
[TestClass]
public class TensorOperate
{
[TestMethod]
[TestMethod, Ignore]
public void TransposeTest()
{
// https://www.tensorflow.org/api_docs/python/tf/transpose#for_example_2
var x = tf.constant(new int[,] {
{ 1, 2, 3 },
{ 4, 5, 6 }
});
var transpose_x = tf.transpose(x);
Assert.IsTrue(Enumerable.SequenceEqual(new int[] { 1, 4 }, transpose_x[0].numpy().ToArray<int>()));
Assert.IsTrue(Enumerable.SequenceEqual(new int[] { 2, 5 }, transpose_x[1].numpy().ToArray<int>()));
Assert.IsTrue(Enumerable.SequenceEqual(new int[] { 3, 6 }, transpose_x[2].numpy().ToArray<int>()));

var a = tf.constant(np.array(new[, , ,] { { { { 1, 11, 2, 22 } }, { { 3, 33, 4, 44 } } },
{ { { 5, 55, 6, 66 } }, { { 7, 77, 8, 88 } } } }));
var b = tf.transpose(a, new[] { 3, 1, 2, 0 });
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