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vsay01 / seed_lab_index.html

Created March 30, 2021 09:57

	<html>
	<head>
	<title>Title</title>
	<body>
	<center>
	<h2>Welcome to my new website</h2>
	<iframe id = "new" src="http://www.cnn.com" style="opacity:0.0;position:absolute;top:195px;left:10px;width:1000px;height:200px">
	</iframe>
	</center>
	</body>

vsay01 / eval.py

Created January 22, 2020 23:33

trained_model.eval()

vsay01 / load_model.py

Created January 22, 2020 23:29

	# load the saved checkpoint
	model, optimizer, start_epoch, valid_loss_min = load_ckp(ckp_path, model, optimizer)

vsay01 / list2.py

Created January 22, 2020 23:26

list all files in checkpoint directory

%ls ./checkpoint/

vsay01 / list.sh

Created January 22, 2020 23:25

list all files in the path

%ls ./best_model/

vsay01 / checkpoint.py

Created January 22, 2020 23:23

checkpoint data

	checkpoint = {
	'epoch': epoch + 1,
	'valid_loss_min': valid_loss,
	'state_dict': model.state_dict(),
	'optimizer': optimizer.state_dict(),
	}

vsay01 / continue_training.py

Created January 22, 2020 13:03

Continue training

trained_model = train(start_epoch, 6, valid_loss_min, loaders, model, optimizer, criterion, use_cuda, "./checkpoint/current_checkpoint.pt", "./best_model/best_model.pt")

vsay01 / print_saved_data.py

Created January 22, 2020 13:01

print saved data from check point

	print("model = ", model)
	print("optimizer = ", optimizer)
	print("start_epoch = ", start_epoch)
	print("valid_loss_min = ", valid_loss_min)
	print("valid_loss_min = {:.6f}".format(valid_loss_min))

vsay01 / load_saved_checkpoint_param.py

Last active January 22, 2020 23:29

Load saved checkpoint param

	# define optimzer
	optimizer = optim.Adam(model.parameters(), lr=0.001)

	# define checkpoint saved path
	ckp_path = "./checkpoint/current_checkpoint.pt"

vsay01 / load_model_instance.py

Created January 22, 2020 12:59

Create load model instance

	model = FashionClassifier()

	# move model to GPU if CUDA is available
	if use_cuda:
	model = model.cuda()

	print(model)

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