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/x86/optimizer/ops/onnx/topk_op.h"
  #include "ppl/nn/engines/x86/kernels/onnx/topk_kernel.h"
  #include "ppl/nn/oputils/onnx/reshape_topk.h"
  #include "ppl/nn/common/logger.h"
  using namespace std;
  using namespace ppl::common;
  
  namespace ppl { namespace nn { namespace x86 {
  
  RetCode TopKOp::Init(const OptKernelOptions& options) {
      auto status = GenericLoadParam(options, &param_);
      if (status != RC_SUCCESS) {
          LOG(ERROR) << "load param failed: " << GetRetCodeStr(status);
          return status;
      }
  
      infer_dims_func_ = [this](InputOutputInfo* info) -> RetCode {
          return oputils::ReshapeTopK(info, param_.get());
      };
  
      infer_type_func_ = [](InputOutputInfo* info) -> void {
          GenericInferType(info);
          auto out_shape = info->GetOutput<TensorImpl>(1)->GetShape();
          out_shape->SetDataType(DATATYPE_INT64);
      };
  
      return RC_SUCCESS;
  }
  
  KernelImpl* TopKOp::CreateKernelImpl() const {
      return CreateKernelImplWithParam<TopKKernel>(param_.get());
  }
  
  }}} // namespace ppl::nn::x86
  