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all_ops.h 2.0 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 BUILT_IN_OP_PROTO_INC_ALL_OPS_H_
  17. #define BUILT_IN_OP_PROTO_INC_ALL_OPS_H_
  18. #include "aipp.h"
  19. #include "aipp_data.h"
  20. #include "array_ops.h"
  21. #include "audio_ops.h"
  22. #include "batch_ops.h"
  23. #include "bitwise_ops.h"
  24. #include "boosted_trees_ops.h"
  25. #include "candidate_sampling_ops.h"
  26. #include "control_flow_ops.h"
  27. #include "data_flow_ops.h"
  28. #include "elewise_calculation_ops.h"
  29. #include "hcom_ops.h"
  30. #include "get_data_ops.h"
  31. #include "image_ops.h"
  32. #include "linalg_ops.h"
  33. #include "lookup_ops.h"
  34. #include "math_ops.h"
  35. #include "matrix_calculation_ops.h"
  36. #include "nn_batch_norm_ops.h"
  37. #include "nn_calculation_ops.h"
  38. #include "nn_detect_ops.h"
  39. #include "nn_norm_ops.h"
  40. #include "nn_ops.h"
  41. #include "nn_other_ops.h"
  42. #include "nn_pooling_ops.h"
  43. #include "nn_training_ops.h"
  44. #include "nonlinear_fuc_ops.h"
  45. #include "npu_loss_scale_ops.h"
  46. #include "pad_ops.h"
  47. #include "quantize_ops.h"
  48. #include "random_ops.h"
  49. #include "reduce_ops.h"
  50. #include "rpn_ops.h"
  51. #include "save_ops.h"
  52. #include "selection_ops.h"
  53. #include "set_ops.h"
  54. #include "sparse_ops.h"
  55. #include "split_combination_ops.h"
  56. #include "state_ops.h"
  57. #include "transformation_ops.h"
  58. #include "logging_ops.h"
  59. #include "string_ops.h"
  60. #include "outfeed_ops.h"
  61. #include "stateless_random_ops.h"
  62. #include "dvpp_ops.h"
  63. #include "basic_lstm_cell.h"
  64. #include "fsrdetectionoutput_ops.h"
  65. #include "roipooling_ops.h"
  66. #include "power_ops.h"
  67. #endif // BUILT_IN_OP_PROTO_INC_ALL_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