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opdebug_register_unittest.cc 1.7 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. #include "common/dump/opdebug_register.h"
  18. #include "common/debug/log.h"
  19. #include "common/ge_inner_error_codes.h"
  20. namespace ge {
  21. class UTEST_opdebug_register : public testing::Test {
  22. protected:
  23. void SetUp() {}
  24. void TearDown() {}
  25. };
  26. TEST_F(UTEST_opdebug_register, register_debug_for_model_success) {
  27. OpdebugRegister opdebug_register;
  28. rtModel_t model_handle = (void*)0x111;
  29. uint32_t op_debug_mode = 1;
  30. DataDumper data_dumper({});
  31. auto ret = opdebug_register.RegisterDebugForModel(model_handle, op_debug_mode, data_dumper);
  32. opdebug_register.UnregisterDebugForModel(model_handle);
  33. EXPECT_EQ(ret, ge::SUCCESS);
  34. }
  35. TEST_F(UTEST_opdebug_register, register_debug_for_stream_success) {
  36. OpdebugRegister opdebug_register;
  37. rtStream_t stream = (void*)0x111;
  38. uint32_t op_debug_mode = 1;
  39. DataDumper data_dumper({});
  40. auto ret = opdebug_register.RegisterDebugForStream(stream, op_debug_mode, data_dumper);
  41. opdebug_register.UnregisterDebugForStream(stream);
  42. EXPECT_EQ(ret, ge::SUCCESS);
  43. }
  44. } // 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