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/roialign_op.h"
  
  #include "ppl/nn/common/logger.h"
  #include "ppl/nn/engines/cuda/kernels/onnx/roialign_kernel.h"
  #include "ppl/nn/oputils/onnx/reshape_roialign.h"
  
  using namespace std;
  using namespace ppl::common;
  using namespace ppl::nn::common;
  
  namespace ppl { namespace nn { namespace cuda {
  
  RetCode ROIAlignOp::Init(const OptKernelOptions& options) {
      auto status = GenericLoadParam<ROIAlignParam>(options, &param_);
      if (status != RC_SUCCESS) {
          LOG(ERROR) << "load param failed: " << GetRetCodeStr(status);
          return status;
      }
  
      infer_type_func_ = [this](InputOutputInfo* info, std::vector<CudaTensorQuant>* quant, datatype_t type) -> RetCode {
          for (uint32_t i = 0; i < info->GetInputCount(); ++i) {
              auto in_shape = &info->GetInput<TensorImpl>(i)->GetShape();
              if (in_shape->GetDataType() == DATATYPE_UNKNOWN) {
                  return RC_UNSUPPORTED;
              }
              if (in_shape->GetDataType() == DATATYPE_FLOAT16) {
                  in_shape->SetDataType(DATATYPE_FLOAT32);
              }
          }
          for (uint32_t i = 0; i < info->GetOutputCount(); ++i) {
              auto out_shape = &info->GetOutput<TensorImpl>(i)->GetShape();
              out_shape->SetDataType(DATATYPE_FLOAT32);
          }
          return RC_SUCCESS;
      };
  
      infer_dims_func_ = [this](InputOutputInfo* info) -> RetCode {
          return oputils::ReshapeROIAlign(info, &param_);
      };
  
      return RC_SUCCESS;
  }
  
  RetCode ROIAlignOp::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* ROIAlignOp::CreateKernelImpl() const {
      return CreateKernelImplWithParam<ROIAlignKernel>(&param_);
  }
  
  }}} // namespace ppl::nn::cuda
  