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rpn_proposals.h 1.9 kB

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  1. /**
  2. * Copyright 2019-2020 Huawei Technologies Co., Ltd
  3. *
  4. * Licensed under the Apache License, Version 2.0 (the "License");
  5. * you may not use this file except in compliance with the License.
  6. * You may obtain a copy of the License at
  7. *
  8. * http://www.apache.org/licenses/LICENSE-2.0
  9. *
  10. * Unless required by applicable law or agreed to in writing, software
  11. * distributed under the License is distributed on an "AS IS" BASIS,
  12. * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  13. * See the License for the specific language governing permissions and
  14. * limitations under the License.
  15. */
  16. #ifndef GE_OP_RPN_PROPOSALS_H
  17. #define GE_OP_RPN_PROPOSALS_H
  18. #include "graph/operator_reg.h"
  19. namespace ge {
  20. REG_OP(RpnProposals)
  21. .INPUT(rois, TensorType({DT_FLOAT16}))
  22. .INPUT(cls_bg_prob, TensorType({DT_FLOAT16}))
  23. .INPUT(img_size, TensorType({DT_INT32}))
  24. .REQUIRED_ATTR(score_threshold, Float)
  25. .REQUIRED_ATTR(k, Int)
  26. .REQUIRED_ATTR(min_size, Float)
  27. .REQUIRED_ATTR(nms_threshold, Float)
  28. .REQUIRED_ATTR(post_nms_num, Int)
  29. .ATTR(score_filter, Bool, true)
  30. .ATTR(box_filter, Bool, true)
  31. .ATTR(score_sigmoid, Bool, false)
  32. .OUTPUT(sorted_box, TensorType({DT_FLOAT16}))
  33. .OP_END_FACTORY_REG(RpnProposals)
  34. REG_OP(RpnProposalsD)
  35. .INPUT(rois, TensorType({DT_FLOAT16}))
  36. .INPUT(cls_bg_prob, TensorType({DT_FLOAT16}))
  37. .REQUIRED_ATTR(img_size, ListInt)
  38. .REQUIRED_ATTR(score_threshold, Float)
  39. .REQUIRED_ATTR(k, Int)
  40. .REQUIRED_ATTR(min_size, Float)
  41. .REQUIRED_ATTR(nms_threshold, Float)
  42. .REQUIRED_ATTR(post_nms_num, Int)
  43. .ATTR(score_filter, Bool, true)
  44. .ATTR(box_filter, Bool, true)
  45. .ATTR(score_sigmoid, Bool, false)
  46. .OUTPUT(sorted_box, TensorType({DT_FLOAT16}))
  47. .OP_END_FACTORY_REG(RpnProposalsD)
  48. } // namespace ge
  49. #endif // GE_OP_GENERATE_RPN_PROPOSALS_H

图引擎模块(GE)是MindSpore的一个子模块,其代码由C++实现,位于前端模块ME和底层硬件之间,起到承接作用。图引擎模块以ME下发的图作为输入,然后进行一系列的深度图优化操作,最后输出一张可以在底层硬件上高效运行的图。GE针对昇腾AI处理器的硬件结构特点,做了特定的优化工作,以此来充分发挥出昇腾AI处理器的强大算力。在进行模型训练/推理时,GE会被自动调用而用户并不感知。GE主要由GE API和GE Core两部分组成,详细的架构图如下所示