/* 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 THIRD_PARTY_TENSORFLOW_PYTHON_LIB_CORE_PY_SEQ_TENSOR_H_

#define THIRD_PARTY_TENSORFLOW_PYTHON_LIB_CORE_PY_SEQ_TENSOR_H_

#include <Python.h>

#include "tensorflow/core/framework/tensor.h"

#include "tensorflow/core/lib/core/status.h"

namespace tensorflow {

// Converts Python object `obj` representing a rectangular array of

// Python values (a scalar, a sequence of scalars, a sequence of

// sequences, etc.) into a C++ TensorFlow Tensor and stores it in

// *ret. If dtype is not None it should by a Python integer

// representing the desired dtype of the resulting Tensor.

// This is used only as a hint, *ret may not have that dtype on

// success and may require a cast.

Status PySeqToTensor(PyObject* obj, PyObject* dtype, Tensor* ret);

} // namespace tensorflow

#endif // THIRD_PARTY_TENSORFLOW_PYTHON_LIB_CORE_PY_SEQ_TENSOR_H_