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ge_generator_unittest.cc 2.7 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 <gtest/gtest.h>
  17. #define private public
  18. #define protected public
  19. #include "generator/ge_generator.h"
  20. #include "graph/utils/tensor_utils.h"
  21. using namespace std;
  22. namespace ge {
  23. class UtestGeGenerator : public testing::Test {
  24. protected:
  25. void SetUp() {}
  26. void TearDown() {}
  27. };
  28. TEST_F(UtestGeGenerator, test_build_single_op_offline) {
  29. GeTensorDesc tensor_desc(GeShape(), FORMAT_NCHW, DT_FLOAT);
  30. TensorUtils::SetSize(tensor_desc, 512);
  31. shared_ptr<OpDesc> op_desc = make_shared<OpDesc>("Add", "add");
  32. EXPECT_EQ(op_desc->AddInputDesc(tensor_desc), GRAPH_SUCCESS);
  33. EXPECT_EQ(op_desc->AddInputDesc(tensor_desc), GRAPH_SUCCESS);
  34. EXPECT_EQ(op_desc->AddOutputDesc(tensor_desc), GRAPH_SUCCESS);
  35. GeTensor tensor(tensor_desc);
  36. const vector<GeTensor> inputs = { tensor, tensor };
  37. const vector<GeTensor> outputs = { tensor };
  38. // not Initialize, impl is null.
  39. GeGenerator generator;
  40. EXPECT_EQ(generator.BuildSingleOpModel(op_desc, inputs, outputs, "offline_"), PARAM_INVALID);
  41. // const map<string, string> &options
  42. generator.Initialize({});
  43. EXPECT_EQ(generator.BuildSingleOpModel(op_desc, inputs, outputs, "offline_"), GE_GENERATOR_GRAPH_MANAGER_BUILD_GRAPH_FAILED);
  44. }
  45. TEST_F(UtestGeGenerator, test_build_single_op_online) {
  46. GeTensorDesc tensor_desc(GeShape(), FORMAT_NCHW, DT_FLOAT);
  47. TensorUtils::SetSize(tensor_desc, 512);
  48. shared_ptr<OpDesc> op_desc = make_shared<OpDesc>("Add", "add");
  49. EXPECT_EQ(op_desc->AddInputDesc(tensor_desc), GRAPH_SUCCESS);
  50. EXPECT_EQ(op_desc->AddInputDesc(tensor_desc), GRAPH_SUCCESS);
  51. EXPECT_EQ(op_desc->AddOutputDesc(tensor_desc), GRAPH_SUCCESS);
  52. GeTensor tensor(tensor_desc);
  53. const vector<GeTensor> inputs = { tensor, tensor };
  54. const vector<GeTensor> outputs = { tensor };
  55. // not Initialize, impl is null.
  56. GeGenerator generator;
  57. generator.Initialize({});
  58. ModelBufferData model_buffer;
  59. EXPECT_EQ(generator.BuildSingleOpModel(op_desc, inputs, outputs, ENGINE_SYS, model_buffer), GE_GENERATOR_GRAPH_MANAGER_BUILD_GRAPH_FAILED);
  60. }
  61. } // 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