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transop_util_unittest.cc 2.5 kB

5 years ago
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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 "graph/common/transop_util.h"
  18. #include "common/debug/log.h"
  19. #include "common/types.h"
  20. #include "common/util.h"
  21. #include "compute_graph.h"
  22. using namespace ge;
  23. using namespace domi;
  24. class UTEST_transop_util : public testing::Test {
  25. protected:
  26. void SetUp() {}
  27. void TearDown() {}
  28. };
  29. TEST_F(UTEST_transop_util, test_is_transop_true) {
  30. ge::ComputeGraphPtr graph = std::make_shared<ComputeGraph>("test");
  31. OpDescPtr op_desc = std::make_shared<OpDesc>("Cast", CAST);
  32. NodePtr node = graph->AddNode(op_desc);
  33. bool ret = TransOpUtil::IsTransOp(node);
  34. EXPECT_TRUE(ret);
  35. }
  36. TEST_F(UTEST_transop_util, test_is_transop_fail) {
  37. ge::ComputeGraphPtr graph = std::make_shared<ComputeGraph>("test");
  38. OpDescPtr op_desc = std::make_shared<OpDesc>("relu", RELU);
  39. NodePtr node = graph->AddNode(op_desc);
  40. bool ret = TransOpUtil::IsTransOp(node);
  41. EXPECT_FALSE(ret);
  42. }
  43. TEST_F(UTEST_transop_util, test_get_transop_get_index) {
  44. ge::ComputeGraphPtr graph = std::make_shared<ComputeGraph>("test");
  45. OpDescPtr transdata_op_desc = std::make_shared<OpDesc>("Transdata", TRANSDATA);
  46. OpDescPtr transpose_op_desc = std::make_shared<OpDesc>("Transpose", TRANSPOSE);
  47. OpDescPtr reshape_op_desc = std::make_shared<OpDesc>("Reshape", RESHAPE);
  48. OpDescPtr cast_op_desc = std::make_shared<OpDesc>("Cast", CAST);
  49. NodePtr transdata_node = graph->AddNode(transdata_op_desc);
  50. NodePtr transpose_node = graph->AddNode(transpose_op_desc);
  51. NodePtr reshape_node = graph->AddNode(reshape_op_desc);
  52. NodePtr cast_node = graph->AddNode(cast_op_desc);
  53. int index1 = TransOpUtil::GetTransOpDataIndex(transdata_node);
  54. int index2 = TransOpUtil::GetTransOpDataIndex(transpose_node);
  55. int index3 = TransOpUtil::GetTransOpDataIndex(reshape_node);
  56. int index4 = TransOpUtil::GetTransOpDataIndex(cast_node);
  57. EXPECT_EQ(index1, 0);
  58. EXPECT_EQ(index2, 0);
  59. EXPECT_EQ(index3, 0);
  60. EXPECT_EQ(index4, 0);
  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

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