/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

0 vote363 views1 answer
Create file and store output python
Python
2 votes368 views1 answer
Python IRR calculation
Python
0 vote354 views1 answer
Resize multiple images to same size python
Python
0 vote379 views1 answer
Flask google analytics
Python Flask
0 vote375 views1 answer
Python round 2.5
Python
0 vote347 views1 answer
Sort first element reverse sort second python
Python
31 votes323 views6 answers
Regex to validate email
Python
0 vote394 views1 answer
Bootstrap 5 in Django
Python Django
1 vote313 views3 answers
Install github
Python
0 vote358 views1 answer
Tf MaxPooling2D
Python