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save and load model during training pytorch

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coder answered on November 19, 2020 Popularity 9/10 Helpfulness 2/10

answer save and load model during training pytorch

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save and load model during training pytorch

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state = {
    'epoch': epoch,
    'state_dict': model.state_dict(),
    'optimizer': optimizer.state_dict(),
    ...
}
torch.save(state, filepath)

Popularity 9/10 Helpfulness 2/10 Language python

Source: stackoverflow.com

Tags: load model python pytorch save training

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Contributed on Apr 27 2022

coder

0 Answers Avg Quality 2/10

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pytorch save model

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Saving:
	torch.save(model, PATH)


Loading: 
	model = torch.load(PATH)
	model.eval()
    
A common PyTorch convention is to save models using either a .pt or .pth file extension.

Popularity 10/10 Helpfulness 7/10 Language python

Source: Grepper

Tags: model mode

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Contributed on Nov 19 2020

Testy Trout

0 Answers Avg Quality 2/10

save and load model pytorch

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torch.save(model.state_dict(), filepath)

#Later to restore:
model.load_state_dict(torch.load(filepath))
model.eval()

Popularity 10/10 Helpfulness 6/10 Language python

Source: stackoverflow.com

Tags: load

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Contributed on Apr 27 2022

coder

0 Answers Avg Quality 2/10

saving model in pytorch

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torch.save(model.state_dict(), PATH)

Popularity 9/10 Helpfulness 4/10 Language python

Source: pytorch.org

Tags: model mode

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Contributed on Dec 28 2021

Uptight Unicorn

0 Answers Avg Quality 2/10

save model pytorch

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Recommended approach for saving a model
There are two main approaches for serializing and restoring a model.

The first (recommended) saves and loads only the model parameters:

torch.save(the_model.state_dict(), PATH)
Then later:

the_model = TheModelClass(*args, **kwargs)
the_model.load_state_dict(torch.load(PATH))
The second saves and loads the entire model:

torch.save(the_model, PATH)
Then later:

the_model = torch.load(PATH)
However in this case, the serialized data is bound to the specific classes and the exact directory structure used, so it can break in various ways when used in other projects, or after some serious refactors.

Popularity 9/10 Helpfulness 4/10 Language python

Source: stackoverflow.com

Tags: model mode

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Contributed on Aug 10 2022

Clear Copperhead

0 Answers Avg Quality 2/10

save model pytorch

Comment

Recommended approach for saving a model
There are two main approaches for serializing and restoring a model.

The first (recommended) saves and loads only the model parameters:

torch.save(the_model.state_dict(), PATH)
Then later:

the_model = TheModelClass(*args, **kwargs)
the_model.load_state_dict(torch.load(PATH))
The second saves and loads the entire model:

torch.save(the_model, PATH)
Then later:

the_model = torch.load(PATH)
However in this case, the serialized data is bound to the specific classes and the exact directory structure used, so it can break in various ways when used in other projects, or after some serious refactors.

Popularity 9/10 Helpfulness 3/10 Language python

Source: stackoverflow.com

Tags: model mode

Link to this answer
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Contributed on Aug 10 2022

Clear Copperhead

0 Answers Avg Quality 2/10

save and load model during training pytorch

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save and load model during training pytorch

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