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kernel.h 1.9 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_INC_KERNEL_H_
  17. #define GE_INC_KERNEL_H_
  18. #include <vector>
  19. #include "common/op/ge_op_utils.h"
  20. #include "graph/compute_graph.h"
  21. #include "graph/graph.h"
  22. #include "graph/op_desc.h"
  23. using std::vector;
  24. using std::unique_ptr;
  25. using std::shared_ptr;
  26. namespace ge {
  27. ///
  28. /// @ingroup domi_omg
  29. /// @brief Kernel interface
  30. /// @author
  31. ///
  32. class Kernel {
  33. public:
  34. ///
  35. /// Constant calculation interface, the result is appended to output
  36. /// @param [in] op_desc_ptr Operator related parameters
  37. /// @param [in] input Constant to be calculated
  38. /// @param [inout] output Save calculation results
  39. /// @author
  40. ///
  41. virtual Status Compute(const ge::OpDescPtr op_desc_ptr, const std::vector<ge::ConstGeTensorPtr>& input,
  42. std::vector<ge::GeTensorPtr>& v_output) {
  43. (void)op_desc_ptr;
  44. (void)input;
  45. (void)v_output;
  46. return NOT_CHANGED;
  47. }
  48. virtual Status Compute(const NodePtr& node, std::vector<GeTensorPtr>& v_output) {
  49. (void)node;
  50. (void)v_output;
  51. return NOT_CHANGED;
  52. }
  53. virtual Status Compute(const NodePtr& node_ptr) {
  54. (void)node_ptr;
  55. return NOT_CHANGED;
  56. }
  57. ///
  58. /// Destructor
  59. ///
  60. virtual ~Kernel() {}
  61. };
  62. } // namespace ge
  63. #endif // GE_INC_KERNEL_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