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deepakkumar1984deepakkumar1984
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Base Layer class sketonizing
1 parent b9c339c commit e16ecdf

11 files changed

Lines changed: 65 additions & 34 deletions

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‎src/TensorFlowNET.Keras/Constraints/ConstraintBase.cs‎

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@@ -4,7 +4,7 @@
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namespace Tensorflow.Keras.Constraints
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{
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class ConstraintBase
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public abstract class ConstraintBase
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{
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}
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}

‎src/TensorFlowNET.Keras/Engine/BaseLayer.cs‎

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@@ -4,7 +4,7 @@
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namespace Tensorflow.Keras.Engine
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{
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class BaseLayer
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public class Layer
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{
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}
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}

‎src/TensorFlowNET.Keras/Engine/BaseLayerUtils.cs‎

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@@ -1,10 +1,24 @@
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using System;
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using System.Collections.Generic;
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using System.Text;
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using Tensorflow.Keras.Initializers;
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using Tensorflow.Keras.Metrics;
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namespace Tensorflow.Keras.Engine
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{
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class BaseLayerUtils
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public class BaseLayerUtils
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{
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public static (Metric, Metric) create_mean_metric(Tensor value, string name = null) => throw new NotImplementedException();
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13+
public static VariableV1 make_variable(string name, TensorShape shape= null, TF_DataType dtype= TF_DataType.TF_FLOAT, Initializer initializer= null,
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bool trainable= true, string caching_device= null, bool validate_shape= true, Constraints.ConstraintBase constraint= null,
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bool use_resource= false, Graph[] collections= null, VariableSynchronization synchronization= VariableSynchronization.Auto,
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VariableAggregation aggregation= VariableAggregation.None) => throw new NotImplementedException();
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public static Tensor[] collect_previous_mask(TensorArray input_tensors) => throw new NotImplementedException();
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public bool have_all_keras_metadata(Tensor[] tensors) => throw new NotImplementedException();
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public static dynamic generate_placeholders_from_shape(TensorShape shape) => throw new NotImplementedException();
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}
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}

‎src/TensorFlowNET.Keras/Initializer/BaseInitializer.cs‎

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This file was deleted.

‎src/TensorFlowNET.Keras/Initializers/Initializer.cs‎

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Original file line numberDiff line numberDiff line change
@@ -4,7 +4,7 @@
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namespace Tensorflow.Keras.Initializers
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{
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class Initializer
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public abstract class Initializer
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{
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}
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}

‎src/TensorFlowNET.Keras/Layers/Core/Dense.cs‎

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Original file line numberDiff line numberDiff line change
@@ -23,7 +23,7 @@ limitations under the License.
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namespace Keras.Layers
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{
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public class Dense : ILayer
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public class Dense : Layer
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{
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RefVariable W;
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int units;
@@ -37,7 +37,7 @@ public Dense(int units, string name = null, IActivation activation = null)
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this.units = units;
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this.name = (string.IsNullOrEmpty(name) || string.IsNullOrWhiteSpace(name))?this.GetType().Name + "_" + this.GetType().GUID:name;
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}
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public ILayer __build__(TensorShape input_shape, int seed = 1, float stddev = -1f)
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public Layer __build__(TensorShape input_shape, int seed = 1, float stddev = -1f)
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{
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Console.WriteLine("Building Layer \"" + name + "\" ...");
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if (stddev == -1)

‎src/TensorFlowNET.Keras/Layers/ILayer.cs‎

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This file was deleted.

‎src/TensorFlowNET.Keras/Layers/Layer.cs‎

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Original file line numberDiff line numberDiff line change
@@ -0,0 +1,36 @@
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using System;
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using System.Collections.Generic;
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using Tensorflow;
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using Tensorflow.Keras.Constraints;
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using Tensorflow.Keras.Initializers;
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using Tensorflow.Keras.Regularizers;
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namespace Keras.Layers
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{
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public abstract class Layer
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{
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public Layer(bool trainable = true, string name = null, string dtype = null, bool @dynamic = false, Dictionary<string, object> kwargs = null)
13+
{
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}
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public void build(TensorShape shape) => throw new NotImplementedException();
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public void call(Tensor[] inputs) => throw new NotImplementedException();
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public void _add_trackable(dynamic trackable_object, bool trainable) => throw new NotImplementedException();
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public void add_weight(string name= null, TensorShape shape= null, string dtype= null, Initializer initializer = null,
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Regularizer regularizer = null, bool? trainable = null, ConstraintBase constraint = null,
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dynamic partitioner= null, bool? use_resource= null, VariableSynchronization synchronization= VariableSynchronization.Auto,
26+
VariableAggregation aggregation= VariableAggregation.None, Dictionary<string, object> kwargs = null) => throw new NotImplementedException();
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public Dictionary<string, object> get_config() => throw new NotImplementedException();
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30+
public Layer from_config(Dictionary<string, object> config) => throw new NotImplementedException();
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32+
public TensorShape compute_output_shape(TensorShape input_shape) => throw new NotImplementedException();
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34+
public dynamic compute_output_signature(dynamic input_signature) => throw new NotImplementedException();
35+
}
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}

‎src/TensorFlowNET.Keras/Metrics/Metric.cs‎

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Original file line numberDiff line numberDiff line change
@@ -4,7 +4,7 @@
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namespace Tensorflow.Keras.Metrics
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{
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class Metric
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public abstract class Metric
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{
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}
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}

‎src/TensorFlowNET.Keras/Model.cs‎

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Original file line numberDiff line numberDiff line change
@@ -26,20 +26,20 @@ namespace Tensorflow.Keras
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public class Model
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{
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public Tensor Flow;
29-
List<ILayer> layer_stack;
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List<Layer> layer_stack;
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public TensorShape InputShape;
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3333
public Model()
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{
35-
layer_stack = new List<ILayer>();
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layer_stack = new List<Layer>();
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}
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public Model Add(ILayer layer)
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public Model Add(Layer layer)
3838
{
3939
layer_stack.Add(layer);
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return this;
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}
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public Model Add(IEnumerable<ILayer> layers)
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public Model Add(IEnumerable<Layer> layers)
4343
{
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layer_stack.AddRange(layers);
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return this;
@@ -83,9 +83,9 @@ public Tensor getFlow()
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Flow = features;
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for (int i = 0; i < layer_stack.Count; i++)
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{
86-
layer_stack[i].__build__(flow_shape);
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flow_shape = layer_stack[i].output_shape(flow_shape);
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Flow = layer_stack[i].__call__(Flow);
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//layer_stack[i].build(flow_shape);
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//flow_shape = layer_stack[i].output_shape(flow_shape);
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//Flow = layer_stack[i].__call__(Flow);
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}
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var predictions = tf.sigmoid(tf.squeeze(Flow));
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