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40 changes: 20 additions & 20 deletions TensorFlow.NET.sln
Original file line number Diff line number Diff line change
Expand Up @@ -39,7 +39,7 @@ Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Tensorflow.Benchmark", "too
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Expand Down Expand Up @@ -324,24 +324,24 @@ Global
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Expand All @@ -362,7 +362,7 @@ Global
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Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -17,8 +17,8 @@
</ItemGroup>

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

</Project>
Original file line number Diff line number Diff line change
@@ -1,9 +1,7 @@
using Microsoft.VisualStudio.TestTools.UnitTesting;
using Tensorflow;
using Tensorflow.NumPy;
using TensorFlow;
using static Tensorflow.Binding;
using static Tensorflow.KerasApi;

namespace TensorFlow.Kernel.UnitTest
{
Expand All @@ -23,14 +21,14 @@ public void testConcatEmpty()
[TestMethod]
public void testConcatNegativeAxis()
{
var t1 = tf.constant(new int[,] {{ 1, 2, 3 }, { 4, 5, 6 } });
var t1 = tf.constant(new int[,] { { 1, 2, 3 }, { 4, 5, 6 } });
var t2 = tf.constant(new int[,] { { 7, 8, 9 }, { 10, 11, 12 } });
var c = array_ops.concat(new[] { t1, t2 }, -2);
var expected = np.array(new int[,,] { { { 1, 2, 3 }, { 4, 5, 6 } }, { { 7, 8, 9 }, { 10, 11, 12 } } });
Assert.IsTrue(Enumerable.SequenceEqual(expected.ToArray<int>(), c.numpy().ToArray<int>()));

c = array_ops.concat(new[] { t1, t2 }, -1);
expected = np.array(new int[,] { { 1, 2, 3, 7, 8, 9 }, { 4, 5, 6, 10, 11, 12 } });
expected = np.array(new int[,] { { 1, 2, 3, 7, 8, 9 }, { 4, 5, 6, 10, 11, 12 } });
Assert.IsTrue(Enumerable.SequenceEqual(expected.ToArray<int>(), c.numpy().ToArray<int>()));
}

Expand All @@ -54,12 +52,12 @@ public void testConcatDtype(TF_DataType dtype)
[DataRow(TF_DataType.TF_INT64)]
public void testConcatAxisType(TF_DataType dtype)
{
var t1 = tf.constant(new int[,] { { 1, 2, 3 }, {4, 5, 6 } });
var t1 = tf.constant(new int[,] { { 1, 2, 3 }, { 4, 5, 6 } });
var t2 = tf.constant(new int[,] { { 7, 8, 9 }, { 10, 11, 12 } });
var c = array_ops.concat(new[] { t1, t2 }, tf.constant(1, dtype: dtype));
var expected = np.array(new int[,] { { 1, 2, 3, 7, 8, 9 }, { 4, 5, 6, 10, 11, 12 } });
Assert.IsTrue(Enumerable.SequenceEqual(expected.ToArray<int>(), tf.cast(c, TF_DataType.TF_INT32).numpy().ToArray<int>()));
}

}
}
}