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resource_variable_ops.h 3.3 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. /*!
  17. * \file resource_variable_ops.h
  18. * \brief
  19. */
  20. #ifndef OPS_BUILT_IN_OP_PROTO_INC_RESOURCE_VARIABLE_OPS_H_
  21. #define OPS_BUILT_IN_OP_PROTO_INC_RESOURCE_VARIABLE_OPS_H_
  22. #include "graph/operator.h"
  23. #include "graph/operator_reg.h"
  24. namespace ge {
  25. /**
  26. *@brief Creates a handle to a Variable resource. \n
  27. *@par Outputs:
  28. *y:A Tensor of type resource. \n
  29. *@par Attributes:
  30. * @li container: optional, string. the container this
  31. variable is placed in.
  32. * @li shared_name: optional, string.the name by which
  33. this variable is referred to.
  34. * @li dtype: required, type. the output of type.
  35. * @li shape: optional, ListInt. the output of shape. \n
  36. *@see VarHandleOp.
  37. */
  38. REG_OP(VarHandleOp)
  39. .ATTR(container, String, "")
  40. .ATTR(shared_name, String, "")
  41. .REQUIRED_ATTR(dtype, Type)
  42. .ATTR(shape, ListInt, ge::UNKNOWN_SHAPE)
  43. .OUTPUT(y, TensorType({DT_RESOURCE}))
  44. .OP_END_FACTORY_REG(VarHandleOp)
  45. /**
  46. *@brief Assigns a new value to a variable. \n
  47. *@par Inputs:
  48. *@li resource:Handle to the resource in which to store the variable.
  49. *@li value:The value to set the new tensor to use. \n
  50. *@par Attributes:
  51. * dtype: required, type. \n
  52. *@see AssignVariableOp.
  53. */
  54. REG_OP(AssignVariableOp)
  55. .INPUT(resource, TensorType({DT_RESOURCE}))
  56. .INPUT(value, TensorType({DT_FLOAT, DT_FLOAT16, DT_INT8, DT_INT16, \
  57. DT_UINT16, DT_UINT8, DT_INT32, DT_INT64, DT_BOOL, DT_DOUBLE}))
  58. .REQUIRED_ATTR(dtype, Type)
  59. .OP_END_FACTORY_REG(AssignVariableOp)
  60. /**
  61. *@brief Adds a value to the current value of a variable. \n
  62. *@par Inputs:
  63. *@li resource:Handle to the resource in which to store the variable.
  64. *@li value:The value by which the variable will be incremented. \n
  65. *@par Attributes:
  66. * dtype: required, type. \n
  67. *@see AssignAddVariableOp.
  68. */
  69. REG_OP(AssignAddVariableOp)
  70. .INPUT(resource, TensorType({DT_RESOURCE}))
  71. .INPUT(value, TensorType({DT_FLOAT, DT_FLOAT16, DT_INT8, DT_INT16, \
  72. DT_UINT16, DT_UINT8, DT_INT32, DT_INT64, DT_BOOL, DT_DOUBLE}))
  73. .REQUIRED_ATTR(dtype, Type)
  74. .OP_END_FACTORY_REG(AssignAddVariableOp)
  75. /**
  76. *@brief Subtracts a value to the current value of a variable. \n
  77. *@par Inputs:
  78. *@li resource:Handle to the resource in which to store the variable.
  79. *@li value:The value by which the variable will be incremented. \n
  80. *@par Attributes:
  81. * dtype: required, type. \n
  82. *@see AssignSubVariableOp.
  83. */
  84. REG_OP(AssignSubVariableOp)
  85. .INPUT(resource, TensorType({DT_RESOURCE}))
  86. .INPUT(value, TensorType({DT_FLOAT, DT_FLOAT16, DT_INT8, DT_INT16, \
  87. DT_UINT16, DT_UINT8, DT_INT32, DT_INT64, DT_BOOL, DT_DOUBLE}))
  88. .REQUIRED_ATTR(dtype, Type)
  89. .OP_END_FACTORY_REG(AssignSubVariableOp)
  90. } // namespace ge
  91. #endif // OPS_BUILT_IN_OP_PROTO_INC_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