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Oceania2018Oceania2018
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Fix binary_accuracy for keras.
1 parent e007e86 commit b54cbaa

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6 files changed

+28
-11
lines changed

6 files changed

+28
-11
lines changed

‎src/TensorFlowNET.Core/Tensorflow.Binding.csproj

+3-3
Original file line numberDiff line numberDiff line change
@@ -5,7 +5,7 @@
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<AssemblyName>TensorFlow.NET</AssemblyName>
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<RootNamespace>Tensorflow</RootNamespace>
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<TargetTensorFlow>2.2.0</TargetTensorFlow>
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<Version>0.40.0</Version>
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<Version>0.40.1</Version>
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<LangVersion>8.0</LangVersion>
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<Authors>Haiping Chen, Meinrad Recheis, Eli Belash</Authors>
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<Company>SciSharp STACK</Company>
@@ -19,7 +19,7 @@
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<Description>Google's TensorFlow full binding in .NET Standard.
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Building, training and infering deep learning models.
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https://tensorflownet.readthedocs.io</Description>
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<AssemblyVersion>0.40.0.0</AssemblyVersion>
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<AssemblyVersion>0.40.1.0</AssemblyVersion>
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<PackageReleaseNotes>tf.net 0.20.x and above are based on tensorflow native 2.x.
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* Eager Mode is added finally.
@@ -32,7 +32,7 @@ TensorFlow .NET v0.3x is focused on making more Keras API works.
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Keras API is a separate package released as TensorFlow.Keras.
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tf.net 0.4x.x aligns with TensorFlow v2.4.1 native library.</PackageReleaseNotes>
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<FileVersion>0.40.0.0</FileVersion>
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<FileVersion>0.40.1.0</FileVersion>
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<PackageLicenseFile>LICENSE</PackageLicenseFile>
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<PackageRequireLicenseAcceptance>true</PackageRequireLicenseAcceptance>
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<SignAssembly>true</SignAssembly>

‎src/TensorFlowNET.Core/Tensors/tensor_util.cs

-2
Original file line numberDiff line numberDiff line change
@@ -596,8 +596,6 @@ public static string to_numpy_string(Tensor tensor)
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case TF_DataType.TF_STRING:
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return string.Join(string.Empty, nd.ToArray<byte>()
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.Select(x => x < 32 || x > 127 ? "\\x" + x.ToString("x") : Convert.ToChar(x).ToString()));
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case TF_DataType.TF_BOOL:
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return nd.GetBoolean(0).ToString();
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case TF_DataType.TF_VARIANT:
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case TF_DataType.TF_RESOURCE:
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return "<unprintable>";

‎src/TensorFlowNET.Keras/BackendImpl.cs

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Original file line numberDiff line numberDiff line change
@@ -137,6 +137,14 @@ public void manual_variable_initialization(bool value)
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{
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_MANUAL_VAR_INIT = value;
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}
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public Tensor mean(Tensor x, int axis = -1, bool keepdims = false)
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{
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if (x.dtype.as_base_dtype() == TF_DataType.TF_BOOL)
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x = math_ops.cast(x, TF_DataType.TF_FLOAT);
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return math_ops.reduce_mean(x, axis: new[] { axis }, keepdims: false);
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}
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public GraphLearningPhase learning_phase()
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{
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var graph = tf.get_default_graph();

‎src/TensorFlowNET.Keras/Engine/MetricsContainer.cs

+3-1
Original file line numberDiff line numberDiff line change
@@ -68,7 +68,9 @@ Metric _get_metric_object(string metric, Tensor y_t, Tensor y_p)
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bool is_binary = y_p_last_dim == 1;
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bool is_sparse_categorical = (y_t_rank < y_p_rank || y_t_last_dim == 1) && y_p_last_dim > 1;
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if (is_sparse_categorical)
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if (is_binary)
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metric_obj = keras.metrics.binary_accuracy;
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else if (is_sparse_categorical)
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metric_obj = keras.metrics.sparse_categorical_accuracy;
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else
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metric_obj = keras.metrics.categorical_accuracy;

‎src/TensorFlowNET.Keras/Metrics/MetricsApi.cs

+10-1
Original file line numberDiff line numberDiff line change
@@ -1,7 +1,16 @@
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namespace Tensorflow.Keras.Metrics
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using static Tensorflow.KerasApi;
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namespace Tensorflow.Keras.Metrics
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{
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public class MetricsApi
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{
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public Tensor binary_accuracy(Tensor y_true, Tensor y_pred)
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{
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float threshold = 0.5f;
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y_pred = math_ops.cast(y_pred > threshold, y_pred.dtype);
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return keras.backend.mean(math_ops.equal(y_true, y_pred), axis: -1);
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}
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public Tensor categorical_accuracy(Tensor y_true, Tensor y_pred)
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{
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var eql = math_ops.equal(math_ops.argmax(y_true, -1), math_ops.argmax(y_pred, -1));

‎src/TensorFlowNET.Keras/Tensorflow.Keras.csproj

+4-4
Original file line numberDiff line numberDiff line change
@@ -6,10 +6,10 @@
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<LangVersion>8.0</LangVersion>
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<RootNamespace>Tensorflow.Keras</RootNamespace>
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<Platforms>AnyCPU;x64</Platforms>
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<Version>0.5.0</Version>
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<Version>0.5.1</Version>
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<Authors>Haiping Chen</Authors>
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<Product>Keras for .NET</Product>
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<Copyright>Apache 2.0, Haiping Chen 2020</Copyright>
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<Copyright>Apache 2.0, Haiping Chen 2021</Copyright>
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<PackageId>TensorFlow.Keras</PackageId>
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<PackageProjectUrl>https://github.com/SciSharp/TensorFlow.NET</PackageProjectUrl>
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<PackageIconUrl>https://avatars3.githubusercontent.com/u/44989469?s=200&amp;v=4</PackageIconUrl>
@@ -35,8 +35,8 @@ Keras is an API designed for human beings, not machines. Keras follows best prac
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<RepositoryType>Git</RepositoryType>
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<SignAssembly>true</SignAssembly>
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<AssemblyOriginatorKeyFile>Open.snk</AssemblyOriginatorKeyFile>
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<AssemblyVersion>0.5.0.0</AssemblyVersion>
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<FileVersion>0.5.0.0</FileVersion>
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<AssemblyVersion>0.5.1.0</AssemblyVersion>
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<FileVersion>0.5.1.0</FileVersion>
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<PackageLicenseFile>LICENSE</PackageLicenseFile>
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</PropertyGroup>
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