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resource_variable_ops.h 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. #ifndef GE_OP_RESOURCE_VARIABLE_OPS_H
  17. #define GE_OP_RESOURCE_VARIABLE_OPS_H
  18. #include "graph/operator.h"
  19. #include "graph/operator_reg.h"
  20. namespace ge {
  21. REG_OP(VarHandleOp)
  22. .ATTR(container, String, "")
  23. .ATTR(shared_name, String, "")
  24. .REQUIRED_ATTR(dtype, Type)
  25. .ATTR(shape, ListInt, ge::UNKNOWN_SHAPE)
  26. .OUTPUT(y, TensorType({DT_RESOURCE}))
  27. .OP_END_FACTORY_REG(VarHandleOp)
  28. REG_OP(AssignVariableOp)
  29. .INPUT(resource, TensorType({DT_RESOURCE}))
  30. .INPUT(value, TensorType({DT_FLOAT, DT_FLOAT16, DT_INT8, DT_INT16, \
  31. DT_UINT16, DT_UINT8, DT_INT32, DT_INT64, DT_BOOL, DT_DOUBLE}))
  32. .REQUIRED_ATTR(dtype, Type)
  33. .OP_END_FACTORY_REG(AssignVariableOp)
  34. REG_OP(AssignAddVariableOp)
  35. .INPUT(resource, TensorType({DT_RESOURCE}))
  36. .INPUT(value, TensorType({DT_FLOAT, DT_FLOAT16, DT_INT8, DT_INT16, \
  37. DT_UINT16, DT_UINT8, DT_INT32, DT_INT64, DT_BOOL, DT_DOUBLE}))
  38. .REQUIRED_ATTR(dtype, Type)
  39. .OP_END_FACTORY_REG(AssignAddVariableOp)
  40. REG_OP(AssignSubVariableOp)
  41. .INPUT(resource, TensorType({DT_RESOURCE}))
  42. .INPUT(value, TensorType({DT_FLOAT, DT_FLOAT16, DT_INT8, DT_INT16, \
  43. DT_UINT16, DT_UINT8, DT_INT32, DT_INT64, DT_BOOL, DT_DOUBLE}))
  44. .REQUIRED_ATTR(dtype, Type)
  45. .OP_END_FACTORY_REG(AssignSubVariableOp)
  46. } // namespace ge
  47. #endif //GE_OP_RESOURCE_VARIABLE_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