TensorFlow.NET/src/TensorFlowNET.Core/tf.cs at master · NMSAzulX/TensorFlow.NET · GitHub

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using System;

using System.Collections.Generic;

using System.Text;

using Tensorflow.Eager;

using static Tensorflow.ops;

namespace Tensorflow

{

public static partial class tf

{

public static TF_DataType bytes = TF_DataType.TF_STRING;

public static TF_DataType int16 = TF_DataType.TF_INT16;

public static TF_DataType int32 = TF_DataType.TF_INT32;

public static TF_DataType int64 = TF_DataType.TF_INT64;

public static TF_DataType float16 = TF_DataType.TF_HALF;

public static TF_DataType float32 = TF_DataType.TF_FLOAT;

public static TF_DataType float64 = TF_DataType.TF_DOUBLE;

public static TF_DataType @bool = TF_DataType.TF_BOOL;

public static TF_DataType chars = TF_DataType.TF_STRING;

public static Context context = new Context(new ContextOptions(), new Status());

public static Session defaultSession;

public static RefVariable Variable<T>(T data,

bool trainable = true,

bool validate_shape = true,

string name = null,

TF_DataType dtype = TF_DataType.DtInvalid)

{

return Tensorflow.variable_scope.default_variable_creator(data,

trainable: trainable,

validate_shape: validate_shape,

name: name,

dtype: TF_DataType.DtInvalid);

}

public static unsafe Tensor placeholder(TF_DataType dtype, TensorShape shape = null, string name = null)

{

return gen_array_ops.placeholder(dtype, shape, name);

}

public static void enable_eager_execution()

{

// contex = new Context();

context.default_execution_mode = Context.EAGER_MODE;

}

public static string VERSION => c_api.StringPiece(c_api.TF_Version());

public static Session Session()

{

defaultSession = new Session();

return defaultSession;

}

public static Session Session(Graph graph)

{

return new Session(graph);

}

TensorFlow.NET/src/TensorFlowNET.Core/tf.cs at master · NMSAzulX/TensorFlow.NET · GitHub

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