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fix rank_internal, add gradients_util · lokinfey/TensorFlow.NET@fed0550 · GitHub

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Commit fed0550

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fix rank_internal, add gradients_util
1 parent 8e2e31c commit fed0550

9 files changed

Lines changed: 534 additions & 515 deletions

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‎TensorFlow.NET.sln‎

Lines changed: 0 additions & 6 deletions
Original file line numberDiff line numberDiff line change
@@ -17,8 +17,6 @@ Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Keras.UnitTest", "test\Kera
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EndProject
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Project("{6EC3EE1D-3C4E-46DD-8F32-0CC8E7565705}") = "TensorFlowNET.Examples.FSharp", "test\TensorFlowNET.Examples.FSharp\TensorFlowNET.Examples.FSharp.fsproj", "{62BC3801-F0D3-44A9-A0AC-712F40C8F961}"
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EndProject
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Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "NumSharp.Core", "..\NumSharp\src\NumSharp.Core\NumSharp.Core.csproj", "{92762DCB-64C8-41B4-BEF7-780A969CE68F}"
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EndProject
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Global
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GlobalSection(SolutionConfigurationPlatforms) = preSolution
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Debug|Any CPU = Debug|Any CPU
@@ -53,10 +51,6 @@ Global
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{62BC3801-F0D3-44A9-A0AC-712F40C8F961}.Debug|Any CPU.Build.0 = Debug|Any CPU
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{62BC3801-F0D3-44A9-A0AC-712F40C8F961}.Release|Any CPU.ActiveCfg = Release|Any CPU
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{62BC3801-F0D3-44A9-A0AC-712F40C8F961}.Release|Any CPU.Build.0 = Release|Any CPU
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{92762DCB-64C8-41B4-BEF7-780A969CE68F}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
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{92762DCB-64C8-41B4-BEF7-780A969CE68F}.Debug|Any CPU.Build.0 = Debug|Any CPU
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{92762DCB-64C8-41B4-BEF7-780A969CE68F}.Release|Any CPU.ActiveCfg = Release|Any CPU
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{92762DCB-64C8-41B4-BEF7-780A969CE68F}.Release|Any CPU.Build.0 = Release|Any CPU
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EndGlobalSection
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GlobalSection(SolutionProperties) = preSolution
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HideSolutionNode = FALSE

‎src/TensorFlowNET.Core/APIs/tf.gradients.cs‎

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -15,7 +15,7 @@ public static object gradients(Tensor[] ys,
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int? aggregation_method = null,
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Tensor[] stop_gradients = null)
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{
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return gradients_impl._GradientsHelper(ys,
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return gradients_util._GradientsHelper(ys,
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xs,
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grad_ys,
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name,
@@ -33,7 +33,7 @@ public static Tensor[] gradients(Tensor ys,
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int? aggregation_method = null,
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Tensor[] stop_gradients = null)
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{
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return gradients_impl._GradientsHelper(new Tensor[] { ys },
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return gradients_util._GradientsHelper(new Tensor[] { ys },
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xs,
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grad_ys,
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name,

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