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fix the while loop #1

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fix the while loop #1

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38 changes: 19 additions & 19 deletions finetune.py
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Original file line number Diff line number Diff line change
Expand Up @@ -39,11 +39,11 @@ def end_to_end_finetune(train_loader, test_loader, model, t_model, args):
top5 = AverageMeter()
finish = False
while not finish:
iter_nums += 1
if iter_nums > args.epoch:
finish = True
break
for batch_idx, (data, target) in enumerate(train_loader):
iter_nums += 1
if iter_nums > args.epoch:
finish = True
break
# measure data loading time
data = data.cuda()
target = target.cuda()
Expand All @@ -66,21 +66,21 @@ def end_to_end_finetune(train_loader, test_loader, model, t_model, args):
# measure elapsed time
batch_time.update(time.time() - end)
end = time.time()
if iter_nums % args.print_freq == 0:
print('Train: [{0}/{1}]\t'
'Time {batch_time.val:.3f} ({batch_time.avg:.3f})\t'
'Data {data_time.val:.3f} ({data_time.avg:.3f})\t'
'LR {lr}\t'
'Loss {loss.val:.4f} ({loss.avg:.4f})\t'
'Prec@1 {top1.val:.3f} ({top1.avg:.3f})\t'
'Prec@5 {top5.val:.3f} ({top5.avg:.3f})'.format(
iter_nums, args.epoch, batch_time=batch_time, lr=lr,
data_time=data_time, loss=losses, top1=top1, top5=top5))
if iter_nums % args.eval_freq == 0:
validate(test_loader, model)
model.train()
model.get_feat = 'pre_GAP'
scheduler.step()
if iter_nums % args.print_freq == 0:
print('Train: [{0}/{1}]\t'
'Time {batch_time.val:.3f} ({batch_time.avg:.3f})\t'
'Data {data_time.val:.3f} ({data_time.avg:.3f})\t'
'LR {lr}\t'
'Loss {loss.val:.4f} ({loss.avg:.4f})\t'
'Prec@1 {top1.val:.3f} ({top1.avg:.3f})\t'
'Prec@5 {top5.val:.3f} ({top5.avg:.3f})'.format(
iter_nums, args.epoch, batch_time=batch_time, lr=lr,
data_time=data_time, loss=losses, top1=top1, top5=top5))
if iter_nums % args.eval_freq == 0:
validate(test_loader, model)
model.train()
model.get_feat = 'pre_GAP'
scheduler.step()
validate(test_loader, model)


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