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.
   */
  
  /*!
   * \file rpn_ops.h
   * \brief
   */
  #ifndef OPS_BUILT_IN_OP_PROTO_INC_RPN_OPS_H_
  #define OPS_BUILT_IN_OP_PROTO_INC_RPN_OPS_H_
  
  #include "graph/operator_reg.h"
  namespace ge {
  /**
  *@brief Iteratively removes lower scoring boxes which have an IoU greater than
  * iou_threshold with higher scoring box according to their
  * intersection-over-union (IoU) . \n
  
  *@par Input:
  * @li box_scores: 2-D tensor with shape of [N, 8], including proposal boxes and
  * corresponding confidence scores . \n
  
  * @par Attributes:
  * @li iou_threshold: An optional float. The threshold for deciding whether boxes
  * overlap too much with respect to IOU . \n
  
  * @par Outputs:
  * @li selected_boxes: 2-D tensor with shape of [N,5], representing filtered
  * boxes including proposal boxes and corresponding confidence scores.
  * @li selected_idx: 1-D tensor with shape of [N], representing the index of
  * input proposal boxes.
  * @li selected_mask: 1-D tensor with shape of [N], the symbol judging whether
  * the output proposal boxes is valid . \n
  
  * @attention Constraints:
  * The 2nd-dim of input box_scores must be equal to 8.\n
  * Only supports 2864 input boxes at one time.\n
  
  */
  REG_OP(NMSWithMask)
      .INPUT(box_scores, TensorType({DT_FLOAT, DT_FLOAT16}))
      .OUTPUT(selected_boxes, TensorType({DT_FLOAT, DT_FLOAT16}))
      .OUTPUT(selected_idx, TensorType({DT_INT32}))
      .OUTPUT(selected_mask, TensorType({DT_UINT8}))
      .ATTR(iou_threshold, Float, 0.5)
      .OP_END_FACTORY_REG(NMSWithMask)
  }  // namespace ge
  
  #endif  // OPS_BUILT_IN_OP_PROTO_INC_RPN_OPS_H_
  