text: /**
   * Copyright 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_BROADCAST_TO_CPU_KERNEL_H_
  #define MINDSPORE_CCSRC_BACKEND_KERNEL_COMPILER_CPU_BROADCAST_TO_CPU_KERNEL_H_
  
  #include <vector>
  #include <memory>
  
  #include "backend/kernel_compiler/cpu/cpu_kernel.h"
  #include "backend/kernel_compiler/cpu/cpu_kernel_factory.h"
  #include "backend/kernel_compiler/cpu/nnacl/base/broadcast_to.h"
  
  namespace mindspore {
  namespace kernel {
  template <typename T>
  class BroadcastToCPUKernel : public CPUKernel {
   public:
    BroadcastToCPUKernel() = default;
    ~BroadcastToCPUKernel() = default;
  
    bool Launch(const std::vector<AddressPtr> &inputs, const std::vector<AddressPtr> &,
                const std::vector<AddressPtr> &outputs) override;
    void InitKernel(const CNodePtr &kernel_node) override;
  
    void CheckArgs();
  
   private:
    std::vector<size_t> input_shape_;
    std::vector<size_t> output_shape_;
    BroadcastShapeInfo shape_info_{};
  };
  
  MS_REG_CPU_KERNEL_T(BroadcastTo, KernelAttr().AddInputAttr(kNumberTypeFloat32).AddOutputAttr(kNumberTypeFloat32),
                      BroadcastToCPUKernel, float);
  MS_REG_CPU_KERNEL_T(BroadcastTo, KernelAttr().AddInputAttr(kNumberTypeInt32).AddOutputAttr(kNumberTypeInt32),
                      BroadcastToCPUKernel, int);
  MS_REG_CPU_KERNEL_T(BroadcastTo, KernelAttr().AddInputAttr(kNumberTypeBool).AddOutputAttr(kNumberTypeBool),
                      BroadcastToCPUKernel, bool);
  MS_REG_CPU_KERNEL_T(
    DynamicBroadcastTo,
    KernelAttr().AddInputAttr(kNumberTypeFloat32).AddInputAttr(kNumberTypeInt32).AddOutputAttr(kNumberTypeFloat32),
    BroadcastToCPUKernel, float);
  MS_REG_CPU_KERNEL_T(
    DynamicBroadcastTo,
    KernelAttr().AddInputAttr(kNumberTypeInt32).AddInputAttr(kNumberTypeInt32).AddOutputAttr(kNumberTypeInt32),
    BroadcastToCPUKernel, int);
  MS_REG_CPU_KERNEL_T(
    DynamicBroadcastTo,
    KernelAttr().AddInputAttr(kNumberTypeBool).AddInputAttr(kNumberTypeInt32).AddOutputAttr(kNumberTypeBool),
    BroadcastToCPUKernel, bool);
  }  // namespace kernel
  }  // namespace mindspore
  
  #endif  // MINDSPORE_CCSRC_BACKEND_KERNEL_COMPILER_CPU_BROADCAST_TO_CPU_KERNEL_H_
  