/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

1 vote364 views1 answer
Selenium.common.exceptions.ElementNotInteractableException: Message: element not interactable
Python
1 vote376 views2 answers
Runserver coomand in django
Python Django
1 vote357 views2 answers
Python regex get word after string
Python
0 vote350 views1 answer
Converting (YYYY-MM-DD-HH:MM:SS) date time
Python
6 votes365 views6 answers
Best ide for python
Python
0 vote374 views1 answer
Yahoo finance api python
Python
0 vote342 views1 answer
Pythagorean theorem calc: find c, a=n
Python
0 vote336 views1 answer
Increment dic with for loop
Python
4 votes355 views4 answers
Generate random characters in python
Python
0 vote387 views1 answer
Tensorflow.keras.utils.to_categorical
Python