/* Copyright 2015 Google Inc. 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_FRAMEWORK_TENSOR_UTIL_H_
#define TENSORFLOW_FRAMEWORK_TENSOR_UTIL_H_

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

#include <vector>
namespace tensorflow {
namespace tensor {

// DeepCopy returns a tensor whose contents are a deep copy of the
// contents of 'other'.  This function is intended only for
// convenience, not speed.
//
// REQUIRES: 'other' must point to data stored in CPU memory.
// REQUIRES: 'other' must be a Tensor of a copy-able type if
//           'other' is not appropriately memory-aligned.
Tensor DeepCopy(const Tensor& other);

// Concatenates 'tensors' into a single tensor, along their 0th dimension.
//
// REQUIRES: All members of 'tensors' must have the same data type parameter.
// REQUIRES: Each member of 'tensors' must have at least one dimension.
// REQUIRES: Each member of 'tensors' must point to data stored in CPU memory.
// REQUIRES: Each member of 'tensors' must be a Tensor of a copy-able type if it
//           is not appropriately memory-aligned.
Tensor Concat(const gtl::ArraySlice<Tensor>& tensors);

// Splits 'tensor' into 'sizes.size()' individual tensors, along the 0th
// dimension. The ith output tensor has 0th-dimension size 'sizes[i]'.
//
// REQUIRES: 'tensor' must have at least one dimension.
// REQUIRES: 'tensor.dim_size(0)' must equal the sum of the elements of 'sizes'.
// REQUIRES: 'tensor' must point to data stored in CPU memory.
// REQUIRES: 'tensor' must be a Tensor of a copy-able type if it is not
//           appropriately memory-aligned.
//
// Split() and Concat() are inverse operations.
std::vector<Tensor> Split(const Tensor& tensor,
                          const gtl::ArraySlice<int64>& sizes);

}  // namespace tensor
}  // namespace tensorflow

#endif  // TENSORFLOW_FRAMEWORK_TENSOR_UTIL_H_
