text: // Licensed to the Apache Software Foundation (ASF) under one
  // or more contributor license agreements.  See the NOTICE file
  // distributed with this work for additional information
  // regarding copyright ownership.  The ASF licenses this file
  // to you 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.
  
  #include "ppl/nn/engines/cuda/optimizer/ops/onnx/expand_op.h"
  
  #include "ppl/nn/common/logger.h"
  #include "ppl/nn/engines/cuda/kernels/onnx/expand_kernel.h"
  #include "ppl/nn/oputils/onnx/reshape_expand.h"
  
  using namespace std;
  using namespace ppl::common;
  
  namespace ppl { namespace nn { namespace cuda {
  
  RetCode ExpandOp::Init(const OptKernelOptions& options) {
      infer_type_func_ = [this](InputOutputInfo* info, std::vector<CudaTensorQuant>* quant, datatype_t type) -> RetCode {
          ppl::common::RetCode status;
          if (type == DATATYPE_UNKNOWN) {
              status = InferInheritedType(info);
          } else if (type == DATATYPE_INT8) {
              status = CopyQuantType(info, quant);
          } else {
              status = InferDefaultType(info, type);
          }
          return status;
      };
  
      infer_dims_func_ = [this](InputOutputInfo* info) -> RetCode {
          if (info->GetInputCount() != 2 || info->GetOutputCount() != 1) {
              return RC_INVALID_VALUE;
          }
  
          auto shape = info->GetInput<TensorImpl>(1);
          if (!shape->GetBufferPtr()) {
              return RC_NOT_FOUND;
          }
  
          std::unique_ptr<int64_t[]> shape_ptr(new int64_t[shape->GetShape().GetElementsIncludingPadding()]);
          auto status = shape->CopyToHost(shape_ptr.get());
          if (status != RC_SUCCESS) {
              LOG(ERROR) << "Copy shape failed: " << GetRetCodeStr(status);
              return status;
          }
  
          return oputils::ReshapeExpand(info, nullptr, shape_ptr.get());
      };
  
      return RC_SUCCESS;
  }
  
  RetCode ExpandOp::Finalize(const OptKernelOptions& options) {
      auto status = SetCommonParam(options);
      if (status != RC_SUCCESS) {
          LOG(ERROR) << "load common param failed: " << GetRetCodeStr(status);
          return status;
      }
  
      return RC_SUCCESS;
  }
  
  KernelImpl* ExpandOp::CreateKernelImpl() const {
      return CreateKernelImplWithoutParam<ExpandKernel>();
  }
  
  }}} // namespace ppl::nn::cuda
  