text: /**
   * Copyright 2020-2021 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_BACKEND_KERNEL_COMPILER_CPU_SPLIT_CPU_KERNEL_H_
  #define MINDSPORE_CCSRC_BACKEND_KERNEL_COMPILER_CPU_SPLIT_CPU_KERNEL_H_
  #include <vector>
  #include <memory>
  #include <thread>
  #include "backend/kernel_compiler/cpu/cpu_kernel.h"
  #include "backend/kernel_compiler/cpu/cpu_kernel_factory.h"
  #include "backend/kernel_compiler/cpu/nnacl/base/split_base.h"
  
  namespace mindspore {
  namespace kernel {
  template <typename T>
  class SplitCPUKernel : public CPUKernel {
   public:
    SplitCPUKernel() = default;
    ~SplitCPUKernel() 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;
  
    void LaunchKernel(const std::vector<AddressPtr> &inputs, const std::vector<AddressPtr> &workspace,
                      const std::vector<AddressPtr> &outputs);
  
    void InitInputOutputSize(const CNodePtr &kernel_node) override;
  
   private:
    void CheckParam(const CNodePtr &kernel_node);
    void Reshape();
    void LaunchSplit(T *input, T **output, size_t size);
    void FreeTmpBuff();
    int64_t axis_;
    int64_t output_num_;
    int64_t axis_step_;
  
    size_t input_size_;
    size_t dims_after_axis_;
    size_t dims_current_after_axis_;
  
    std::vector<std::vector<size_t>> output_shape_list_;
    std::vector<size_t> input_shape_;
    std::vector<int> input_shape_int_;
    TypeId dtype_{kTypeUnknown};
  
   protected:
    SplitParameter *param_ = nullptr;
  };
  
  MS_REG_CPU_KERNEL_T(
    Split, KernelAttr().SetAllSameAttr(true).AddInputAttr(kNumberTypeFloat32).AddOutputAttr(kNumberTypeFloat32),
    SplitCPUKernel, float);
  MS_REG_CPU_KERNEL_T(
    Split, KernelAttr().SetAllSameAttr(true).AddInputAttr(kNumberTypeFloat16).AddOutputAttr(kNumberTypeFloat16),
    SplitCPUKernel, float16);
  MS_REG_CPU_KERNEL_T(
    Split, KernelAttr().SetAllSameAttr(true).AddInputAttr(kNumberTypeFloat64).AddOutputAttr(kNumberTypeFloat64),
    SplitCPUKernel, double);
  MS_REG_CPU_KERNEL_T(Split,
                      KernelAttr().SetAllSameAttr(true).AddInputAttr(kNumberTypeInt32).AddOutputAttr(kNumberTypeInt32),
                      SplitCPUKernel, int32_t);
  MS_REG_CPU_KERNEL_T(Split,
                      KernelAttr().SetAllSameAttr(true).AddInputAttr(kNumberTypeUInt32).AddOutputAttr(kNumberTypeUInt32),
                      SplitCPUKernel, uint32_t);
  MS_REG_CPU_KERNEL_T(Split,
                      KernelAttr().SetAllSameAttr(true).AddInputAttr(kNumberTypeInt64).AddOutputAttr(kNumberTypeInt64),
                      SplitCPUKernel, int64_t);
  }  // namespace kernel
  }  // namespace mindspore
  
  #endif  // MINDSPORE_CCSRC_BACKEND_KERNEL_COMPILER_CPU_SPLIT_CPU_KERNEL_H_
  