using System;

using System.Collections.Generic;

using System.Runtime.InteropServices;

using System.Text;

using TF_DataType = Tensorflow.DataType;

using attr_value_pb2 = Tensorflow;

using Tensorflow.Eager;

namespace Tensorflow

{

public static class tf

{

public static TF_DataType float32 = TF_DataType.TF_FLOAT;

public static TF_DataType chars = TF_DataType.TF_STRING;

public static Context context = new Context();

public static Graph g = new Graph(c_api.TF_NewGraph());

public static object Variable<T>(T data, TF_DataType dtype)

{

return new Variable(null, TF_DataType.DtInvalid);

}

public static unsafe Tensor add(Tensor a, Tensor b)

{

return gen_math_ops.add(a, b);

}

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

{

return gen_array_ops.placeholder(dtype, shape);

}

public static unsafe Tensor constant(object value)

{

var g = ops.get_default_graph();

var tensor_value = new attr_value_pb2.AttrValue();

var tensor_pb = tensor_util.make_tensor_proto(value);

tensor_value.Tensor = tensor_pb;

var dtype_value = new attr_value_pb2.AttrValue

{

Type = tensor_value.Tensor.Dtype,

};

var attrs = new Dictionary<string, AttrValue>();

attrs["dtype"] = dtype_value;

attrs["value"] = tensor_value;

var const_tensor = g.create_op("Const", null, new TF_DataType[] { (TF_DataType)dtype_value.Type }, attrs: attrs).outputs[0];

return const_tensor;

}

public static void enable_eager_execution()

{

context.default_execution_mode = Context.EAGER_MODE;

}

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

public static Graph get_default_graph()

{

return ops.get_default_graph();

}

public static Graph Graph()

{

return g;

}

public static Session Session()

{

return new Session();

}

}

}