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parsing_ops.h 1.7 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 parsing_ops.h
  18. * \brief
  19. */
  20. #ifndef OPS_BUILT_IN_OP_PROTO_INC_PARSING_OPS_H_
  21. #define OPS_BUILT_IN_OP_PROTO_INC_PARSING_OPS_H_
  22. #include "graph/operator_reg.h"
  23. #include "graph/operator.h"
  24. namespace ge {
  25. /**
  26. *@brief Converts each string in the input Tensor to the specified numeric type . \n
  27. *@par Inputs:
  28. *Inputs include:
  29. *x: A Tensor. Must be one of the following types: string . \n
  30. *@par Attributes:
  31. *out_type: The numeric type to interpret each string in string_tensor as . \n
  32. *@par Outputs:
  33. *y: A Tensor. Has the same type as x . \n
  34. *@attention Constraints:
  35. *The implementation for StringToNumber on Ascend uses AICPU, with bad performance. \n
  36. *@par Third-party framework compatibility
  37. *@li compatible with tensorflow StringToNumber operator.
  38. */
  39. REG_OP(StringToNumber)
  40. .INPUT(x, TensorType({DT_STRING}))
  41. .OUTPUT(y, TensorType({DT_FLOAT, DT_DOUBLE, DT_INT32, DT_INT64}))
  42. .ATTR(out_type, Type, DT_FLOAT)
  43. .OP_END_FACTORY_REG(StringToNumber)
  44. } // namespace ge
  45. #endif // OPS_BUILT_IN_OP_PROTO_INC_PARSING_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