You can not select more than 25 topics Topics must start with a chinese character,a letter or number, can include dashes ('-') and can be up to 35 characters long.

omg_omg_unittest.cc 1.6 kB

1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253
  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 "common/ge/ge_util.h"
  18. #include "proto/ge_ir.pb.h"
  19. #include "inc/framework/omg/omg.h"
  20. using namespace ge;
  21. using namespace std;
  22. class UtestOmg : public testing::Test {
  23. protected:
  24. void SetUp() override {}
  25. void TearDown() override {}
  26. };
  27. TEST_F(UtestOmg, display_model_info_failed)
  28. {
  29. ge::proto::ModelDef model_def;
  30. PrintModelInfo(&model_def);
  31. }
  32. TEST_F(UtestOmg, display_model_info_success)
  33. {
  34. ge::proto::ModelDef model_def;
  35. auto attrs = model_def.mutable_attr();
  36. ge::proto::AttrDef *attr_def_soc = &(*attrs)["soc_version"];
  37. attr_def_soc->set_s("Ascend310");
  38. ge::proto::AttrDef *attr_def = &(*attrs)["om_info_list"];
  39. attr_def->mutable_list()->add_i(1);
  40. attr_def->mutable_list()->add_i(2);
  41. attr_def->mutable_list()->add_i(3);
  42. attr_def->mutable_list()->add_i(4);
  43. attr_def->mutable_list()->add_i(5);
  44. PrintModelInfo(&model_def);
  45. }

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.