/**
 * Copyright 2020 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_CPU_SLICE_GRAD_CPU_KERNEL_H_
#define MINDSPORE_CCSRC_KERNEL_CPU_SLICE_GRAD_CPU_KERNEL_H_
#include <vector>
#include <memory>
#include "kernel/cpu/cpu_kernel.h"
#include "kernel/cpu/cpu_kernel_factory.h"

namespace mindspore {
namespace kernel {
class SliceGradCPUKernel : public CPUKernel {
 public:
  SliceGradCPUKernel() = default;
  ~SliceGradCPUKernel() override = default;

  void InitKernel(const CNodePtr &kernel_node) override;

  bool Launch(const std::vector<AddressPtr> &inputs, const std::vector<AddressPtr> &workspace,
              const std::vector<AddressPtr> &outputs) override;

 private:
  void CheckParam(const CNodePtr &kernel_node);
  std::vector<int> begin_;
  std::vector<int> end_;
  std::vector<int> strides_;
  std::vector<size_t> input_dy_shape_;
  std::vector<size_t> output_dx_shape_;
};

MS_REG_CPU_KERNEL(
  SliceGrad,
  KernelAttr().AddInputAttr(kNumberTypeFloat32).AddInputAttr(kNumberTypeFloat32).AddOutputAttr(kNumberTypeFloat32),
  SliceGradCPUKernel);
MS_REG_CPU_KERNEL(StridedSliceGrad, KernelAttr().AddInputAttr(kNumberTypeFloat32).AddOutputAttr(kNumberTypeFloat32),
                  SliceGradCPUKernel);
}  // namespace kernel
}  // namespace mindspore

#endif  // MINDSPORE_CCSRC_KERNEL_CPU_SLICE_GRAD_CPU_KERNEL_H_
