text: /* Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
   * 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. */
  
  #ifdef PADDLE_WITH_XPU
  #include <algorithm>
  
  #include "paddle/fluid/framework/op_registry.h"
  
  namespace paddle {
  namespace operators {
  
  using Tensor = framework::Tensor;
  using LoDTensor = framework::LoDTensor;
  using SelectedRows = phi::SelectedRows;
  
  template <typename T>
  class ShapeXPUKernel : public framework::OpKernel<T> {
   public:
    void Compute(const framework::ExecutionContext& ctx) const override {
      auto* in_var = ctx.InputVar("Input");
      framework::DDim in_dims;
      if (in_var->IsType<phi::SelectedRows>()) {
        in_dims = in_var->Get<phi::SelectedRows>().value().dims();
      } else {
        in_dims = in_var->Get<LoDTensor>().dims();
      }
      auto* out_t = ctx.Output<Tensor>("Out");
      out_t->Resize({in_dims.size()});
      auto out_data = out_t->mutable_data<int32_t>(platform::CPUPlace());
      for (int i = 0; i < in_dims.size(); ++i) {
        out_data[i] = in_dims[i];
      }
    }
  };
  }  // namespace operators
  }  // namespace paddle
  
  namespace ops = paddle::operators;
  REGISTER_OP_XPU_KERNEL(shape, ops::ShapeXPUKernel<bool>,
                         ops::ShapeXPUKernel<int>, ops::ShapeXPUKernel<int64_t>,
                         ops::ShapeXPUKernel<float>, ops::ShapeXPUKernel<double>);
  
  #endif
  