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set_ops.h 3.4 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_SET_OPS_H_
  17. #define GE_OP_SET_OPS_H_
  18. #include "graph/operator.h"
  19. #include "graph/operator_reg.h"
  20. namespace ge {
  21. REG_OP(DenseToDenseSetOperation)
  22. .INPUT(x1, TensorType({DT_INT8, DT_INT16, DT_UINT16, DT_UINT8, \
  23. DT_INT32, DT_INT64, DT_STRING}))
  24. .INPUT(x2, TensorType({DT_INT8, DT_INT16, DT_UINT16, DT_UINT8, \
  25. DT_INT32, DT_INT64, DT_STRING}))
  26. .OUTPUT(y_indices, TensorType({DT_INT64}))
  27. .OUTPUT(y_values, TensorType({DT_INT8, DT_INT16, DT_UINT16, DT_UINT8, \
  28. DT_INT32, DT_INT64, DT_STRING}))
  29. .OUTPUT(y_shape, TensorType({DT_INT64}))
  30. .ATTR(set_operation, String, "")
  31. .ATTR(validate_indices, Bool, true)
  32. .OP_END_FACTORY_REG(DenseToDenseSetOperation)
  33. REG_OP(DenseToSparseSetOperation)
  34. .INPUT(x1, TensorType({DT_INT8, DT_INT16, DT_UINT16, DT_UINT8, \
  35. DT_INT32, DT_INT64, DT_STRING}))
  36. .INPUT(x2_indices, TensorType({DT_INT64}))
  37. .INPUT(x2_values, TensorType({DT_INT8, DT_INT16, DT_UINT16, DT_UINT8, \
  38. DT_INT32, DT_INT64, DT_STRING}))
  39. .INPUT(x2_shape, TensorType({DT_INT64}))
  40. .OUTPUT(y_indices, TensorType({DT_INT64}))
  41. .OUTPUT(y_values, TensorType({DT_INT8, DT_INT16, DT_UINT16, DT_UINT8, \
  42. DT_INT32, DT_INT64, DT_STRING}))
  43. .OUTPUT(y_shape, TensorType({DT_INT64}))
  44. .ATTR(set_operation, String, "")
  45. .ATTR(validate_indices, Bool, true)
  46. .OP_END_FACTORY_REG(DenseToSparseSetOperation)
  47. REG_OP(SparseToSparseSetOperation)
  48. .INPUT(x1_indices, TensorType({DT_INT64}))
  49. .INPUT(x1_values, TensorType({DT_INT8, DT_INT16, DT_UINT16, DT_UINT8, \
  50. DT_INT32, DT_INT64, DT_STRING}))
  51. .INPUT(x1_shape, TensorType({DT_INT64}))
  52. .INPUT(x2_indices, TensorType({DT_INT64}))
  53. .INPUT(x2_values, TensorType({DT_INT8, DT_INT16, DT_UINT16, DT_UINT8, \
  54. DT_INT32, DT_INT64, DT_STRING}))
  55. .INPUT(x2_shape, TensorType({DT_INT64}))
  56. .OUTPUT(y_indices, TensorType({DT_INT64}))
  57. .OUTPUT(y_values, TensorType({DT_INT8, DT_INT16, DT_UINT16, DT_UINT8, \
  58. DT_INT32, DT_INT64, DT_STRING}))
  59. .OUTPUT(y_shape, TensorType({DT_INT64}))
  60. .ATTR(set_operation, String, "")
  61. .ATTR(validate_indices, Bool, true)
  62. .OP_END_FACTORY_REG(SparseToSparseSetOperation)
  63. REG_OP(SetSize)
  64. .INPUT(set_indices, TensorType({DT_INT64}))
  65. .INPUT(set_values, TensorType({DT_INT8, DT_INT16, \
  66. DT_UINT8, DT_UINT16, DT_INT32, DT_INT64}))
  67. .INPUT(set_shape, TensorType({DT_INT64}))
  68. .OUTPUT(size, TensorType({DT_INT32}))
  69. .ATTR(validate_indices, Bool, true)
  70. .OP_END_FACTORY_REG(SetSize)
  71. } // namespace ge
  72. #endif // GE_OP_SET_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