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task_generator_unittest.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 <gtest/gtest.h>
  17. #include <memory>
  18. #include "graph/anchor.h"
  19. #include "graph/attr_value.h"
  20. #include "graph/debug/ge_attr_define.h"
  21. #include "graph/utils/graph_utils.h"
  22. #include "graph/utils/node_utils.h"
  23. #include "graph/utils/op_desc_utils.h"
  24. #include "graph/utils/tensor_utils.h"
  25. #include "omg/omg_inner_types.h"
  26. #include "../passes/graph_builder_utils.h"
  27. #define protected public
  28. #define private public
  29. #include "graph/build/task_generator.h"
  30. #undef protected
  31. #undef private
  32. using namespace std;
  33. using namespace testing;
  34. using namespace ge;
  35. class UtestTaskGeneratorTest : public testing::Test {
  36. public:
  37. ge::ComputeGraphPtr BuildGraphFpProfiling() {
  38. ge::ut::GraphBuilder builder("graph");
  39. auto data = builder.AddNode("data", "phony", 1, 1);
  40. auto addn1 = builder.AddNode("addn1", "AddN", 1, 1);
  41. auto netoutput = builder.AddNode("netoutput", "NetOutput", 2, 0);
  42. auto op_desc = data->GetOpDesc();
  43. (void)AttrUtils::SetStr(op_desc, ATTR_NAME_FRAMEWORK_ORIGINAL_TYPE, "IteratorV2");
  44. op_desc->SetOpKernelLibName("GE");
  45. builder.AddDataEdge(data, 0, addn1, 0);
  46. builder.AddDataEdge(addn1, 0, netoutput, 0);
  47. return builder.GetGraph();
  48. }
  49. protected:
  50. void SetUp() {}
  51. void TearDown() {}
  52. };
  53. TEST_F(UtestTaskGeneratorTest, AutoFindFpOpIndex) {
  54. auto graph = BuildGraphFpProfiling();
  55. TaskGenerator task_generator(nullptr, 0);
  56. ProfilingPoint profiling_point;
  57. profiling_point.fp_index = -1;
  58. EXPECT_EQ(task_generator.AutoFindFpOpIndex(graph, profiling_point), SUCCESS);
  59. // addn1 is fp
  60. EXPECT_EQ(profiling_point.fp_index, 2);
  61. }

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