/**
 * Copyright 2019 Huawei Technologies Co., Ltd
 *
 * 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 MINDSPORE_CCSRC_KERNEL_GPU_CUDA_IMPL_SLICEIMPL_H_
#define MINDSPORE_CCSRC_KERNEL_GPU_CUDA_IMPL_SLICEIMPL_H_

#include <cuda_runtime.h>
#include <vector>
#include "device/gpu/cuda_common.h"

template <typename T>
void CalSlice(const size_t input_size, const T* input, const std::vector<int> in_shape, const std::vector<int> begin,
              const std::vector<int> size, T* output, cudaStream_t cuda_stream);
template <typename T>
void CalSliceGrad(const size_t input_size, const T* input, const std::vector<int> in_shape,
                  const std::vector<int> begin, const std::vector<int> size, T* output, cudaStream_t cuda_stream);
template <typename T>
void CalStridedSlice(const size_t input_size, const T* input, const std::vector<int> in_shape,
                     const std::vector<int> begin, const std::vector<int> end, const std::vector<int> strides,
                     T* output, cudaStream_t cuda_stream);
template <typename T>
void CalStridedSliceGrad(const size_t input_size, const T* dy, const std::vector<int> in_shape,
                         const std::vector<int> begin, const std::vector<int> end, const std::vector<int> strides,
                         T* dx, cudaStream_t cuda_stream);
template <typename T>
void FillDeviceArray(const size_t input_size, T* addr, const float value, cudaStream_t cuda_stream);
#endif  // MINDSPORE_CCSRC_KERNEL_GPU_CUDA_IMPL_SLICEIMPL_H_
