in touch_charts/recon.py [0:0]
def __call__(self) -> float:
self.encoder = models.Encoder(self.args)
self.encoder.cuda()
params = list(self.encoder.parameters())
self.optimizer = optim.Adam(params, lr=self.args.lr, weight_decay=0)
writer = SummaryWriter(os.path.join('experiments/tensorboard/', args.exp_type ))
train_loader, valid_loaders = self.get_loaders()
if self.args.eval:
self.load('')
with torch.no_grad():
self.validate(valid_loaders, writer)
exit()
for epoch in range(self.args.epochs):
self.epoch = epoch
self.train(train_loader, writer)
with torch.no_grad():
self.validate(valid_loaders, writer)
self.check_values()