text: /**
   * Copyright 2019-2020 Huawei Technologies Co., Ltd
   *
   * 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 GE_OP_ROIPOOLING_OPS_H_
  #define GE_OP_ROIPOOLING_OPS_H_
  
  #include "graph/operator_reg.h"
  
  namespace ge {
  
  REG_OP(RoiPooling)
      .INPUT(x, TensorType({DT_FLOAT, DT_FLOAT16}))
      .INPUT(rois, TensorType({DT_FLOAT, DT_FLOAT16}))
      .INPUT(roi_actual_num, TensorType({DT_INT32}))
      .ATTR(roi_max_num, Int,3008)
      .REQUIRED_ATTR(pooled_h, Int)
      .REQUIRED_ATTR(pooled_w, Int)
      .ATTR(spatial_scale, Float, 0.0625)
      .OUTPUT(y, TensorType({DT_FLOAT, DT_FLOAT16}))
      .OP_END_FACTORY_REG(RoiPooling)
  
  }  // namespace ge
  
  #endif  // GE_OP_BITWISE_OPS_H_
  