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shape_kernel.cc 2.2 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. #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. namespace ge {
  24. namespace {
  25. const size_t kShapeInputSize = 1;
  26. const size_t kShapeOutputSize = 1;
  27. } // namespace
  28. Status ShapeKernel::Compute(const NodePtr &node, std::vector<GeTensorPtr> &v_output) {
  29. GELOGD("ShapeKernel in");
  30. if (node == nullptr) {
  31. GELOGE(FAILED, "parameter is null.");
  32. return FAILED;
  33. }
  34. OpDescPtr op_desc = node->GetOpDesc();
  35. GE_CHECK_NOTNULL(op_desc);
  36. bool size_check = ((op_desc->GetInputsSize() != kShapeInputSize) || (op_desc->GetOutputsSize() != kShapeOutputSize));
  37. if (size_check) {
  38. GELOGW("Size check fail, inputs size:%zu, outputs size:%zu", op_desc->GetInputsSize(), op_desc->GetOutputsSize());
  39. return NOT_CHANGED;
  40. }
  41. const auto &input_desc = op_desc->MutableInputDesc(0);
  42. GE_CHECK_NOTNULL(input_desc);
  43. if (KernelUtils::IsUnknownShape(input_desc->GetShape())) {
  44. GELOGW("Input shape is unknown, ignore shape kernel.");
  45. return NOT_CHANGED;
  46. }
  47. vector<int64_t> dims = input_desc->GetShape().GetDims();
  48. Status ret = PassUtils::ConstructTensorDescWithData(op_desc->GetOutputDesc(0), dims, v_output);
  49. if (ret != SUCCESS) {
  50. GELOGE(ret, "Shape kernel construct tensor desc failed!");
  51. return ret;
  52. }
  53. GELOGD("Shape kernel success");
  54. return SUCCESS;
  55. }
  56. REGISTER_KERNEL(SHAPE, ShapeKernel);
  57. } // 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