/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

140 votes105 views3 answers
Windows python pip upgrade
Python
68 votes116 views4 answers
How to define main in python
Python
21 votes108 views6 answers
How to concatenate two lists in python
Python
11 votes97 views3 answers
Pandas random sample
Python
0 vote96 views5 answers
Generator expressions python
Python
6 votes125 views5 answers
Scroll down selenium python
Python
0 vote89 views1 answer
Run ipython inside pipenv
Python
1 vote104 views1 answer
Piythin comment
Python
25 votes103 views2 answers
Copy text to clipboard python
Python
0 vote93 views3 answers
Array of numbers
Python