how to save a neural network pytorch
Saving:
torch.save(model, PATH)
Loading:
model = torch.load(PATH)
model.eval()how to save a neural network pytorch
Saving:
torch.save(model, PATH)
Loading:
model = torch.load(PATH)
model.eval()model load checkpoint pytorch
##this is how you load the model from the checkpoint
model = Net()
optimizer = optim.SGD(net.parameters(), lr=0.001, momentum=0.9)
checkpoint = torch.load(PATH)
model.load_state_dict(checkpoint['model_state_dict'])
optimizer.load_state_dict(checkpoint['optimizer_state_dict'])
epoch = checkpoint['epoch']
loss = checkpoint['loss']
model.eval()
# - or -
model.train()model load checkpoint pytorch
# Additional information
EPOCH = 5
PATH = "model.pt"
LOSS = 0.4
##this is how you save model checkpoint
torch.save({
'epoch': EPOCH,
'model_state_dict': net.state_dict(),
'optimizer_state_dict': optimizer.state_dict(),
'loss': LOSS,
}, PATH)Copyright © 2021 Codeinu
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