text: /**
   * Copyright 2021-2022 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_GPU_RL_TENSOR_ARRAY_STACK_KERNEL_H_
  #define MINDSPORE_CCSRC_BACKEND_KERNEL_COMPILER_GPU_RL_TENSOR_ARRAY_STACK_KERNEL_H_
  
  #include <string>
  #include <vector>
  #include <atomic>
  #include "plugin/device/gpu/kernel/gpu_kernel.h"
  #include "plugin/device/gpu/kernel/gpu_kernel_factory.h"
  
  namespace mindspore {
  namespace kernel {
  class TensorArrayStackKernelMod : public NativeGpuKernelMod {
   public:
    TensorArrayStackKernelMod();
    ~TensorArrayStackKernelMod() = default;
  
    bool Launch(const std::vector<AddressPtr> &inputs, const std::vector<AddressPtr> &workspace,
                const std::vector<AddressPtr> &outputs, void *stream_ptr) override;
    bool Init(const CNodePtr &kernel_node) override;
    void PostExecute() override;
    void ResetResource() noexcept override;
  
   protected:
    void InitSizeLists() override;
  
   private:
    int64_t handle_;
    int64_t value_size_;
    int64_t ele_size_;
    void *stream_ptr_;
    std::vector<size_t> shapes_;
    TypePtr type_;
    bool is_dynamic_;
  };
  
  MS_REG_GPU_KERNEL(TensorArrayStack, TensorArrayStackKernelMod)
  }  // namespace kernel
  }  // namespace mindspore
  
  #endif  // MINDSPORE_CCSRC_BACKEND_KERNEL_COMPILER_GPU_RL_TENSOR_ARRAY_STACK_KERNEL_H_
  