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scale_ops.h 1.3 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_SCALE_OPS_H
  17. #define GE_OP_SCALE_OPS_H
  18. #include "graph/operator_reg.h"
  19. namespace ge {
  20. REG_OP(Scale)
  21. .INPUT(input_x, TensorType({DT_FLOAT, DT_FLOAT16})) /* "First operand." */
  22. .INPUT(scale_param, TensorType({DT_FLOAT, DT_FLOAT16})) /* "Second operand." */
  23. .INPUT(bias_param, TensorType({DT_FLOAT, DT_FLOAT16})) /* "Third operand." */
  24. .OUTPUT(output_y, TensorType({DT_FLOAT, DT_FLOAT16})) /* "Result, has same element type as input_x" */
  25. .ATTR(axis, Int, 1)
  26. .ATTR(num_axes, Int, 1)
  27. .ATTR(bias_term, Bool, false)
  28. .ATTR(scale_from_blob, Bool, true)
  29. .OP_END_FACTORY_REG(Scale)
  30. } // namespace ge
  31. #endif // GE_OP_SCALE_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