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test_ge_st.py 2.3 kB

5 years ago
5 years ago
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  1. # Copyright 2019-2020 Huawei Technologies Co., Ltd
  2. #
  3. # Licensed under the Apache License, Version 2.0 (the "License");
  4. # you may not use this file except in compliance with the License.
  5. # You may obtain a copy of the License at
  6. #
  7. # http://www.apache.org/licenses/LICENSE-2.0
  8. #
  9. # Unless required by applicable law or agreed to in writing, software
  10. # distributed under the License is distributed on an "AS IS" BASIS,
  11. # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  12. # See the License for the specific language governing permissions and
  13. # limitations under the License.
  14. # ============================================================================
  15. """
  16. ge st test.
  17. """
  18. import pytest
  19. import subprocess
  20. import os
  21. @pytest.mark.level0
  22. @pytest.mark.platform_arm_ascend_training
  23. @pytest.mark.platform_x86_ascend_training
  24. @pytest.mark.env_card
  25. @pytest.mark.component_ge
  26. def test_resnet50_train():
  27. ge_st_dir=os.environ.get('GE_ST_DIR',
  28. '/home/jenkins/workspace/release_pkg/gate/graphengine_lib')
  29. ge_lib_dir=os.environ.get('GRAPHENGINE_LIB', '/home/jenkins/workspace/release_pkg/gate/graphengine_lib')
  30. real_pythonpath=os.environ.get('REAL_PYTHONPATH')
  31. pythonpath=os.environ.get('PYTHONPATH')
  32. if real_pythonpath:
  33. if pythonpath:
  34. os.environ['PYTHONPATH']=real_pythonpath+':'+pythonpath
  35. else:
  36. os.environ['PYTHONPATH']=real_pythonpath
  37. print('PYTHONPATH: '+os.environ.get('PYTHONPATH'))
  38. os.environ['ASCEND_OPP_PATH']='/usr/local/Ascend/opp'
  39. os.environ['ASCEND_ENGINE_PATH']='/usr/local/Ascend/fwkacllib/lib64/plugin/opskernel/libaicpu_engine.so:' \
  40. '/usr/local/Ascend/fwkacllib/lib64/plugin/opskernel/libfe.so:' \
  41. '/usr/local/Ascend/fwkacllib/lib64/plugin/opskernel/librts_engine.so:'+ \
  42. ge_lib_dir + '/libge_local_engine.so'
  43. print('ASCEND_OPP_PATH: '+os.environ.get('ASCEND_OPP_PATH'))
  44. print('ASCEND_ENGINE_PATH: '+os.environ.get('ASCEND_ENGINE_PATH'))
  45. print('LD_LIBRARY_PATH: '+os.environ.get('LD_LIBRARY_PATH'))
  46. cmd=ge_st_dir + '/st_resnet50_train'
  47. print('cmd: '+cmd)
  48. os.environ['SLOG_PRINT_TO_STDOUT']="1"
  49. ret=subprocess.call([cmd], shell=True)
  50. assert ret==0

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