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dvpp_ops.h 2.1 kB

5 years ago
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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_DVPP_OPS_H_
  17. #define GE_OP_DVPP_OPS_H_
  18. #include "graph/operator_reg.h"
  19. namespace ge {
  20. REG_OP(DvppCreateChannel)
  21. .OUTPUT(dvpp_channel, TensorType({DT_INT64}))
  22. .OP_END_FACTORY_REG(DvppCreateChannel)
  23. REG_OP(DvppDestroyChannel)
  24. .INPUT(dvpp_channel, TensorType({DT_INT64}))
  25. .OP_END_FACTORY_REG(DvppDestroyChannel)
  26. REG_OP(DvppResize)
  27. .INPUT(dvpp_channel, TensorType({DT_INT64}))
  28. .INPUT(input_desc, TensorType({DT_UINT8}))
  29. .INPUT(output_desc, TensorType({DT_UINT8}))
  30. .INPUT(resize_config, TensorType({DT_UINT8}))
  31. .OP_END_FACTORY_REG(DvppResize)
  32. REG_OP(DvppCrop)
  33. .INPUT(dvpp_channel, TensorType({DT_INT64}))
  34. .INPUT(input_desc, TensorType({DT_UINT8}))
  35. .INPUT(output_desc, TensorType({DT_UINT8}))
  36. .INPUT(crop_area, TensorType({DT_UINT8}))
  37. .OP_END_FACTORY_REG(DvppCrop)
  38. REG_OP(DvppCropAndPaste)
  39. .INPUT(dvpp_channel, TensorType({DT_INT64}))
  40. .INPUT(input_desc, TensorType({DT_UINT8}))
  41. .INPUT(output_desc, TensorType({DT_UINT8}))
  42. .INPUT(crop_area, TensorType({DT_UINT8}))
  43. .INPUT(paste_area, TensorType({DT_UINT8}))
  44. .OP_END_FACTORY_REG(DvppCropAndPaste)
  45. REG_OP(DvppDecodeJpeg)
  46. .INPUT(dvpp_channel, TensorType({DT_INT64}))
  47. .INPUT(input_desc, TensorType({DT_UINT8}))
  48. .INPUT(output_desc, TensorType({DT_UINT8}))
  49. .INPUT(decode_area, TensorType({DT_UINT8}))
  50. .OP_END_FACTORY_REG(DvppDecodeJpeg)
  51. } // namespace ge
  52. #endif // GE_OP_DVPP_OPS_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