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op_mapping_info.proto 2.0 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. syntax = "proto3";
  17. package aicpu.dump;
  18. message Shape {
  19. repeated uint64 dim = 1;
  20. }
  21. message Output {
  22. int32 data_type = 1;
  23. int32 format = 2;
  24. Shape shape = 3;
  25. uint64 address = 4;
  26. string original_name = 5;
  27. int32 original_output_index = 6;
  28. int32 original_output_data_type = 7;
  29. int32 original_output_format = 8;
  30. uint64 size = 9;
  31. }
  32. message Input {
  33. int32 data_type =1;
  34. int32 format = 2;
  35. Shape shape = 3;
  36. uint64 address = 4;
  37. uint64 size = 5;
  38. }
  39. enum BufferType {
  40. L1 = 0;
  41. }
  42. message OpBuffer {
  43. BufferType buffer_type = 1;
  44. uint64 address = 2;
  45. uint64 size = 3;
  46. }
  47. message Op {
  48. string op_name = 1;
  49. string op_type = 2;
  50. }
  51. message Task {
  52. uint32 task_id = 1;
  53. uint32 stream_id = 2;
  54. Op op = 3;
  55. repeated Output output = 4;
  56. bool end_graph = 5;
  57. repeated Input input = 6;
  58. repeated OpBuffer buffer = 7;
  59. }
  60. message OpMappingInfo {
  61. string dump_path = 1;
  62. oneof model_name_param {
  63. string model_name = 2;
  64. }
  65. oneof model_id_param {
  66. uint32 model_id = 3;
  67. }
  68. oneof step_id {
  69. uint64 step_id_addr = 4;
  70. }
  71. oneof iterations_per_loop {
  72. uint64 iterations_per_loop_addr = 5;
  73. }
  74. oneof loop_cond {
  75. uint64 loop_cond_addr = 6;
  76. }
  77. uint32 flag = 7; // 0x01 load, 0x00 unload
  78. repeated Task task = 8;
  79. string dump_step = 9;
  80. }

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