/* Copyright 2017 The TensorFlow Authors. All Rights Reserved.

Licensed under the Apache License, Version 2.0 (the "License");

you may not use this file except in compliance with the License.

You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software

distributed under the License is distributed on an "AS IS" BASIS,

WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

See the License for the specific language governing permissions and

limitations under the License.

==============================================================================*/

#ifndef TENSORFLOW_PYTHON_EAGER_PYWRAP_TENSOR_H_

#define TENSORFLOW_PYTHON_EAGER_PYWRAP_TENSOR_H_

// Must be included first

// clang-format off

#include "xla/tsl/python/lib/core/numpy.h" //NOLINT

// clang-format on

#include "tensorflow/c/eager/c_api.h"

#include "tensorflow/core/framework/types.pb.h"

#include "tensorflow/core/platform/types.h"

bool EagerTensor_CheckExact(const PyObject* o);

int64_t PyEagerTensor_ID(const PyObject* tensor);

tensorflow::DataType PyEagerTensor_Dtype(const PyObject* tensor);

int64_t PyEagerTensor_NumElements(PyObject* tensor);

TFE_TensorHandle* EagerTensor_Handle(const PyObject* o);

namespace tensorflow {

// Converts a value to a TFE_TensorHandle of a given dtype. The handle is

// first allocated on CPU and then copied to a device identified by

// device_name, unless it is nullptr.

//

// Note that an DT_INT32 handle is always kept on CPU regardless of the

// device_name argument.

TFE_TensorHandle* ConvertToEagerTensor(TFE_Context* ctx, PyObject* value,

DataType dtype,

const char* device_name = nullptr);

PyObject* TFE_TensorHandleToNumpy(TFE_TensorHandle* handle, TF_Status* status);

} // namespace tensorflow

#endif // TENSORFLOW_PYTHON_EAGER_PYWRAP_TENSOR_H_