Breaking News: Grepper is joining You.com. Read the official announcement!

save and load model during training pytorch

Add Answer

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

answer save and load model during training pytorch

related pytorch save model

related save and load model pytorch

related saving model in pytorch

related save model pytorch

save and load model during training pytorch

Comment

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

Popularity 10/10 Helpfulness 2/10 Language python

Source: stackoverflow.com

Tags: load model python pytorch save training

Link to this answer
Share Copy Link

Contributed on Apr 27 2022

coder

0 Answers Avg Quality 2/10

Closely Related Answers

pytorch save model

Comment

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

Link to this answer
Share Copy Link

Contributed on Nov 19 2020

Testy Trout

0 Answers Avg Quality 2/10

save and load model pytorch

Comment

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

Link to this answer
Share Copy Link

Contributed on Apr 27 2022

coder

0 Answers Avg Quality 2/10

saving model in pytorch

Comment

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

Popularity 10/10 Helpfulness 4/10 Language python

Source: pytorch.org

Tags: model mode

Link to this answer
Share Copy Link

Contributed on Dec 28 2021

Uptight Unicorn

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 10/10 Helpfulness 4/10 Language python

Source: stackoverflow.com

Tags: model mode

Link to this answer
Share Copy Link

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 10/10 Helpfulness 3/10 Language python

Source: stackoverflow.com

Tags: model mode

Link to this answer
Share Copy Link

Contributed on Aug 10 2022

Clear Copperhead

0 Answers Avg Quality 2/10

save and load model during training pytorch

Contents

More Related Answers

save and load model during training pytorch

Closely Related Answers

pytorch save model

save and load model pytorch

saving model in pytorch

save model pytorch

save model pytorch

Grepper

Documentation

Social

Legal

Contact

Oops, You will need to install Grepper and log-in to perform this action.