deepinsight / deepinsight/insightface
scrfd2onnx.py torch.load(map_location='gpu')
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Description
windows10
Traceback (most recent call last):
File "D:/AIProject/insightface0.4/test1.py", line 2, in
checkpoint = torch.load("insightface-master/detection/scrfd/weights/scrfd_10g_bnkps.pth", map_location='gpu')
File "D:\Miniconda3\envs\insightface0.4\lib\site-packages\torch\serialization.py", line 608, in load
return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args)
File "D:\Miniconda3\envs\insightface0.4\lib\site-packages\torch\serialization.py", line 787, in _legacy_load
result = unpickler.load()
File "D:\Miniconda3\envs\insightface0.4\lib\site-packages\torch\serialization.py", line 743, in persistent_load
deserialized_objects[root_key] = restore_location(obj, location)
File "D:\Miniconda3\envs\insightface0.4\lib\site-packages\torch\serialization.py", line 824, in restore_location
return default_restore_location(storage, map_location)
File "D:\Miniconda3\envs\insightface0.4\lib\site-packages\torch\serialization.py", line 180, in default_restore_location
+ location + ")")
don't know how to restore data location of torch.FloatStorage (tagged with gpu)
**I dont know why**
### My solution
torch.load(map_location='cuda:0')
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