@@ -1,10 +1,58 @@ | |||
using System; | |||
using Keras.Layers; | |||
using NumSharp; | |||
using System; | |||
using System.Collections.Generic; | |||
using System.Text; | |||
using Tensorflow.Data; | |||
using Tensorflow.Keras.Initializers; | |||
namespace Tensorflow.Keras.Engine | |||
{ | |||
class BasePreprocessingLayer | |||
public abstract class PreprocessingLayer : Layer | |||
{ | |||
public abstract void adapt(Data.DatasetV1 data, bool reset_state = true); | |||
} | |||
public abstract class Combiner | |||
{ | |||
public abstract dynamic compute(NDArray[] batch_values, dynamic accumulator = null); | |||
public abstract dynamic merge(dynamic[] accumulators); | |||
public abstract NDArray[] extract(dynamic accumulator); | |||
public abstract dynamic restore(Tensor output); | |||
public abstract string serialize(dynamic accumulator); | |||
public abstract dynamic deserialize(string encoded_accumulator); | |||
public override string ToString() | |||
{ | |||
throw new NotImplementedException(); | |||
} | |||
} | |||
public class CombinerPreprocessingLayer : PreprocessingLayer | |||
{ | |||
public CombinerPreprocessingLayer(Combiner combiner) | |||
{ | |||
throw new NotImplementedException(); | |||
} | |||
private void _add_state_variable(string name, TensorShape shape, string dtype, Initializer initializer= null, string partitioner= null, bool? use_resource= null) => throw new NotImplementedException(); | |||
private Dictionary<string, NDArray> _restore_updates() => throw new NotImplementedException(); | |||
private bool _dataset_is_infinite(DatasetV1 dataset) => throw new NotImplementedException(); | |||
private dynamic _get_dataset_iterator(DatasetV1 dataset) => throw new NotImplementedException(); | |||
private void _set_state_variables(Dictionary<string, Tensor> updates) => throw new NotImplementedException(); | |||
public override void adapt(DatasetV1 data, bool reset_state = true) | |||
{ | |||
throw new NotImplementedException(); | |||
} | |||
} | |||
} |
@@ -1,10 +1,45 @@ | |||
using System; | |||
using Keras.Layers; | |||
using System; | |||
using System.Collections.Generic; | |||
using System.Reflection; | |||
using System.Text; | |||
namespace Tensorflow.Keras.Engine | |||
{ | |||
public class CallContext | |||
{ | |||
public bool in_keras_graph | |||
{ | |||
get | |||
{ | |||
throw new NotImplementedException(); | |||
} | |||
} | |||
public CallContext() | |||
{ | |||
} | |||
public void enter(Layer layer, Tensor[] inputs, Graph build_graph, bool training, Saving saving = null) => throw new NotImplementedException(); | |||
public bool training_arg_passed_to_call(string[] argspec, Dictionary<string, object> args, Dictionary<string, object> kwargs) => throw new NotImplementedException(); | |||
public dynamic autocast_context_manager(string dtype) => throw new NotImplementedException(); | |||
public bool is_subclassed(Layer layer) => throw new NotImplementedException(); | |||
public bool from_saved_model(Layer layer) => throw new NotImplementedException(); | |||
public bool check_graph_consistency(Tensor tensor = null, string method = "add_loss", bool force_raise = false) => throw new NotImplementedException(); | |||
public dynamic mark_as_return(Tensor[] outputs, dynamic acd) => throw new NotImplementedException(); | |||
public MethodInfo Default(MemberInfo method) => throw new NotImplementedException(); | |||
public void enable_v2_dtype_behavior() => throw new NotImplementedException(); | |||
public void disable_v2_dtype_behavior() => throw new NotImplementedException(); | |||
public void v2_dtype_behavior_enabled() => throw new NotImplementedException(); | |||
} | |||
} |
@@ -4,7 +4,7 @@ using System.Text; | |||
namespace Tensorflow.Keras.Engine | |||
{ | |||
class Saving | |||
public class Saving | |||
{ | |||
} | |||
} |
@@ -0,0 +1,26 @@ | |||
using System; | |||
using System.Collections.Generic; | |||
using System.Text; | |||
namespace Tensorflow.Keras.Engine | |||
{ | |||
public class TrackableWeightHandler | |||
{ | |||
public int num_tensors | |||
{ | |||
get | |||
{ | |||
throw new NotImplementedException(); | |||
} | |||
} | |||
public TrackableWeightHandler(bool trackable) | |||
{ | |||
throw new NotImplementedException(); | |||
} | |||
public void set_weights(Tensor[] weights) => throw new NotImplementedException(); | |||
public void _set_weights_v1(Tensor[] weights) => throw new NotImplementedException(); | |||
} | |||
} |