You can not select more than 25 topics Topics must start with a chinese character,a letter or number, can include dashes ('-') and can be up to 35 characters long.

strided_slice_kernel.h 2.6 kB

5 years ago
5 years ago
5 years ago
5 years ago
12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849505152
  1. /**
  2. * Copyright 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_GRAPH_PASSES_FOLDING_KERNEL_STRIDED_SLICE_KERNEL_H_
  17. #define GE_GRAPH_PASSES_FOLDING_KERNEL_STRIDED_SLICE_KERNEL_H_
  18. #include "inc/kernel.h"
  19. #include <vector>
  20. namespace ge {
  21. class StridedSliceKernel : public Kernel {
  22. public:
  23. Status Compute(const OpDescPtr attr, const std::vector<ConstGeTensorPtr> &input,
  24. vector<GeTensorPtr> &v_output) override;
  25. private:
  26. Status CheckAndGetAttr(const OpDescPtr &attr);
  27. static Status CheckInputParam(const std::vector<ConstGeTensorPtr> &input) ;
  28. Status InitParamWithAttrs(const std::vector<ConstGeTensorPtr> &input, std::vector<int64_t> &input_dims,
  29. std::vector<int64_t> &begin_vec, std::vector<int64_t> &output_dims,
  30. std::vector<int64_t> &stride_vec);
  31. Status MaskCal(const size_t i, int64_t &begin_i, int64_t &end_i, int64_t &dim_i) const;
  32. static Status StrideCal(const int64_t x_dims_i, int64_t &begin_i, int64_t &end_i, int64_t &stride_i,
  33. int64_t &dim_final) ;
  34. void ExpandDimsWithNewAxis(const ConstGeTensorPtr &begin_tensor, const size_t x_dims_num, vector<int64_t> &x_dims);
  35. void ExpandStrideWithEllipsisMask(const size_t x_dims_num,
  36. const vector<int64_t> &x_dims, vector<int64_t> &orig_begin_vec,
  37. vector<int64_t> &orig_end_vec, vector<int64_t> &orig_stride_vec);
  38. void GetOutputDims(uint32_t dims_size, const std::vector<int64_t> &output_dims, vector<int64_t> &v_dims);
  39. map<string, uint32_t> attr_value_map_ = {{STRIDE_SLICE_ATTR_BEGIN_MASK, 0},
  40. {STRIDE_SLICE_ATTR_END_MASK, 0},
  41. {STRIDE_SLICE_ATTR_ELLIPSIS_MASK, 0},
  42. {STRIDE_SLICE_ATTR_NEW_AXIS_MASK, 0},
  43. {STRIDE_SLICE_ATTR_SHRINK_AXIS_MASK, 0}};
  44. };
  45. } // namespace ge
  46. #endif // GE_GRAPH_PASSES_FOLDING_KERNEL_STRIDED_SLICE_KERNEL_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