[MLU]adapt mlu device for running dbnet network #7835
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qipengh
commented
Oct 8, 2022
| if paddle.is_compiled_with_cuda(): | ||
| AMP_RELATED_FLAGS_SETTING.update({ | ||
| 'FLAGS_cudnn_batchnorm_spatial_persistent': 1 | ||
| }) |
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除GPU之外的其他设备，运行AMP模式时，会报错。因为FLAGS_cudnn_batchnorm_spatial_persistent是gpu的参数。这里单独加个判断，is_compiled_with_cuda=true时，会应用该参数。
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这个FLAG不是只控制batch norm kernel的行为吗？为什么会报错？
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报错信息如下：
[2022/10/08 12:24:37] ppocr INFO: train dataloader has 8 iters
[2022/10/08 12:24:37] ppocr INFO: valid dataloader has 500 iters
Traceback (most recent call last):
File "tools/train.py", line 212, in <module>
main(config, device, logger, vdl_writer)
File "tools/train.py", line 161, in main
paddle.fluid.set_flags(AMP_RELATED_FLAGS_SETTING)
File "/projs/framework/huangqipeng/pdd_a/venv_py38/lib/python3.8/site-packages/paddle/fluid/framework.py", line 7287, in set_flags
raise ValueError(
ValueError: Flag FLAGS_cudnn_batchnorm_spatial_persistent cannot set its value through this function.
INFO 2022-10-08 12:24:43,989 launch_utils.py:350] terminate all the procs大概原因是在paddle，paddle/fluid/platform/flags.cc +297这里注册这个Flags时，用PADDLE_WITH_CUDA包起来了，当PADDLE_WITH_MLU时无法使用这个参数。
#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
......
PADDLE_DEFINE_EXPORTED_bool(
cudnn_batchnorm_spatial_persistent,
false,
"Whether enable CUDNN_BATCHNORM_SPATIAL_PERSISTENT mode for cudnn "
"batch_norm, default is False.");
#endif
ronny1996
approved these changes
Oct 9, 2022
MissPenguin
approved these changes
Oct 10, 2022
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适配 寒武纪 MLU 芯片，以支持文字检测 dbnet 网络。
运行结果如下：
