text: // Copyright 2018 Xiaomi, Inc.  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.
  
  #ifndef MACE_OPS_SQUEEZE_H_
  #define MACE_OPS_SQUEEZE_H_
  
  #include <vector>
  #include <unordered_set>
  
  #include "mace/core/operator.h"
  
  namespace mace {
  namespace ops {
  
  template<DeviceType D, typename T>
  class SqueezeOp : public Operator<D, T> {
   public:
    SqueezeOp(const OperatorDef &op_def, Workspace *ws)
        : Operator<D, T>(op_def, ws),
          axis_(OperatorBase::GetRepeatedArgs<int>("axis", {})) {}
  
    MaceStatus Run(StatsFuture *future) override {
      const Tensor *input = this->Input(INPUT);
      Tensor *output = this->Output(OUTPUT);
  
      std::vector<index_t> output_shape;
      std::unordered_set<int> axis_set(axis_.begin(), axis_.end());
      for (int i = 0; i < input->dim_size(); ++i) {
        if (input->dim(i) > 1
            || (!axis_set.empty() && axis_set.find(i) == axis_set.end())) {
          output_shape.push_back(input->dim(i));
        }
      }
      output->ReuseTensorBuffer(*input);
      output->Reshape(output_shape);
  
      SetFutureDefaultWaitFn(future);
      return MACE_SUCCESS;
    }
  
   private:
    std::vector<int> axis_;
  
   private:
    MACE_OP_INPUT_TAGS(INPUT);
    MACE_OP_OUTPUT_TAGS(OUTPUT);
  };
  
  }  // namespace ops
  }  // namespace mace
  
  #endif  // MACE_OPS_SQUEEZE_H_
  