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aipp.h 2.8 kB

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  1. /**
  2. * Copyright 2019 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. /*!
  17. * \file aipp.h
  18. * \brief
  19. */
  20. #ifndef OPS_BUILT_IN_OP_PROTO_INC_AIPP_H_
  21. #define OPS_BUILT_IN_OP_PROTO_INC_AIPP_H_
  22. #include "graph/operator_reg.h"
  23. namespace ge {
  24. /**
  25. *@brief Performs AI pre-processing (AIPP) on images including color space conversion (CSC),
  26. image normalization (by subtracting the mean value or multiplying a factor), image cropping
  27. (by specifying the crop start and cropping the image to the size required by the neural network), and much more. \n
  28. *@par Inputs:
  29. *@li images: An NCHW or NHWC tensor of type uint8, specifying the input to the data layer.
  30. *@li params: Dynamic AIPP configuration parameters of type uint8. \n
  31. *@par Attributes:
  32. *aipp_config_path: A required string, specifying the path of the AIPP configuration file. \n
  33. *@par Outputs:
  34. *features: The AIPP-processed output tensor of type float16 or uint8.
  35. *@par Third-party framework compatibility
  36. * It is a custom operator. It has no corresponding operator in Caffe.
  37. *@par Restrictions:
  38. *Warning: This operator can be integrated only by configuring INSERT_OP_FILE of aclgrphBuildModel. Please do not use it directly.
  39. */
  40. REG_OP(Aipp)
  41. .INPUT(images, TensorType{DT_UINT8})
  42. .OPTIONAL_INPUT(params, TensorType{DT_UINT8})
  43. .OUTPUT(features, TensorType({DT_FLOAT16, DT_UINT8}))
  44. .ATTR(aipp_config_path, String, "./aipp.cfg")
  45. .OP_END_FACTORY_REG(Aipp)
  46. /**
  47. *@brief Performs this op is for dynamic aipp.If you set aipp-mode to dynamic
  48. in aipp config file, framework will auto add one input node to graph at last. \n
  49. *@par Inputs:
  50. *data: An NCHW or NHWC tensor of type uint8, specifying the input to the data layer. \n
  51. *@par Attributes:
  52. *index: specify aipp serial num \n
  53. *@par Outputs:
  54. *out: The AIPP-processed output tensor of all types. \n
  55. *@par Third-party framework compatibility
  56. *Compatible with the TensorFlow operator AippData.
  57. *@par Restrictions:
  58. *Warning: This operator can be integrated only by configuring INSERT_OP_FILE of aclgrphBuildModel. Please do not use it directly.
  59. */
  60. REG_OP(AippData)
  61. .INPUT(data, TensorType::ALL())
  62. .OUTPUT(out, TensorType::ALL())
  63. .ATTR(index, Int, 0)
  64. .OP_END_FACTORY_REG(AippData)
  65. } // namespace ge
  66. #endif // OPS_BUILT_IN_OP_PROTO_INC_AIPP_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