/Python/Pickle.load from gpu device to cpu

Pickle.load from gpu device to cpu

#if you are using pickle load on a cpu device, from a gpu device
#you will need to override the pickle load functionality like this:
#note: if loading directly in torch, just add map_location='cpu' in load()

class CPU_Unpickler(pickle.Unpickler):
    def find_class(self, module, name):
        if module == 'torch.storage' and name == '_load_from_bytes':
            return lambda b: torch.load(io.BytesIO(b), map_location='cpu')
        else: return super().find_class(module, name)

#contents = pickle.load(f) becomes...
contents = CPU_Unpickler(f).load()

Source: github.com

Similar codes

2 votes101 views1 answer
Download pdf from link using python
Python
1 vote115 views2 answers
Why mentioning user agent in request library
Python
2 votes101 views1 answer
Dict typing python
Python
231 votes182 views4 answers
Urban dictionary
Python
0 vote101 views2 answers
Remove columns that contain string pandas
Python
0 vote106 views2 answers
Java to python conversion
Python
0 vote124 views1 answer
Remove exponent pandas plot
Python
2 votes121 views2 answers
How to install pywin32 python
Python
23 votes108 views1 answer
Python hour from datetime
Python
0 vote111 views1 answer
Somebody please get rid of my annoying-as-hell sunburn!!!
Python