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shape_kernel.cc 2.2 kB

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  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. #include "host_kernels/shape_kernel.h"
  17. #include <memory>
  18. #include "framework/common/debug/ge_log.h"
  19. #include "framework/common/ge_inner_error_codes.h"
  20. #include "host_kernels/kernel_utils.h"
  21. #include "graph/passes/pass_utils.h"
  22. #include "inc/kernel_factory.h"
  23. #include "framework/common/types.h"
  24. namespace ge {
  25. namespace {
  26. const size_t kShapeInputSize = 1;
  27. const size_t kShapeOutputSize = 1;
  28. } // namespace
  29. Status ShapeKernel::Compute(const NodePtr &node, std::vector<GeTensorPtr> &v_output) {
  30. GELOGD("ShapeKernel in");
  31. if (node == nullptr) {
  32. GELOGE(FAILED, "parameter is null.");
  33. return FAILED;
  34. }
  35. OpDescPtr op_desc = node->GetOpDesc();
  36. GE_CHECK_NOTNULL(op_desc);
  37. bool size_check = ((op_desc->GetInputsSize() != kShapeInputSize) || (op_desc->GetOutputsSize() != kShapeOutputSize));
  38. if (size_check) {
  39. GELOGW("Size check fail, inputs size:%zu, outputs size:%zu", op_desc->GetInputsSize(), op_desc->GetOutputsSize());
  40. return NOT_CHANGED;
  41. }
  42. const auto &input_desc = op_desc->MutableInputDesc(0);
  43. GE_CHECK_NOTNULL(input_desc);
  44. if (KernelUtils::IsUnknownShape(input_desc->GetShape())) {
  45. GELOGW("Input shape is unknown, ignore shape kernel.");
  46. return NOT_CHANGED;
  47. }
  48. vector<int64_t> dims = input_desc->GetShape().GetDims();
  49. Status ret = PassUtils::ConstructTensorDescWithData(op_desc->GetOutputDesc(0), dims, v_output);
  50. if (ret != SUCCESS) {
  51. GELOGE(ret, "Shape kernel construct tensor desc failed!");
  52. return ret;
  53. }
  54. GELOGD("Shape kernel success");
  55. return SUCCESS;
  56. }
  57. REGISTER_KERNEL(SHAPE, ShapeKernel);
  58. } // namespace ge

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