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Revert "add flush to print" #92

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Merged
merged 1 commit into from
Mar 2, 2017
Merged

Revert "add flush to print" #92

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19 changes: 8 additions & 11 deletions imagenet/main.py
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Original file line number Diff line number Diff line change
@@ -1,4 +1,3 @@
from __future__ import print_function
import argparse
import os
import shutil
Expand Down Expand Up @@ -60,10 +59,10 @@ def main():

# create model
if args.pretrained:
print("=> using pre-trained model '{}'".format(args.arch), flush=True)
print("=> using pre-trained model '{}'".format(args.arch))
model = models.__dict__[args.arch](pretrained=True)
else:
print("=> creating model '{}'".format(args.arch), flush=True)
print("=> creating model '{}'".format(args.arch))
model = models.__dict__[args.arch]()

if args.arch.startswith('alexnet') or args.arch.startswith('vgg'):
Expand All @@ -75,16 +74,15 @@ def main():
# optionally resume from a checkpoint
if args.resume:
if os.path.isfile(args.resume):
print("=> loading checkpoint '{}'".format(args.resume), flush=True)
print("=> loading checkpoint '{}'".format(args.resume))
checkpoint = torch.load(args.resume)
args.start_epoch = checkpoint['epoch']
best_prec1 = checkpoint['best_prec1']
model.load_state_dict(checkpoint['state_dict'])
print("=> loaded checkpoint '{}' (epoch {})"
.format(args.evaluate, checkpoint['epoch']), flush=True)
.format(args.evaluate, checkpoint['epoch']))
else:
print("=> no checkpoint found at '{}'".format(args.resume),
flush=True)
print("=> no checkpoint found at '{}'".format(args.resume))

cudnn.benchmark = True

Expand Down Expand Up @@ -191,8 +189,7 @@ def train(train_loader, model, criterion, optimizer, epoch):
'Prec@1 {top1.val:.3f} ({top1.avg:.3f})\t'
'Prec@5 {top5.val:.3f} ({top5.avg:.3f})'.format(
epoch, i, len(train_loader), batch_time=batch_time,
data_time=data_time, loss=losses, top1=top1, top5=top5),
flush=True)
data_time=data_time, loss=losses, top1=top1, top5=top5))


def validate(val_loader, model, criterion):
Expand Down Expand Up @@ -231,10 +228,10 @@ def validate(val_loader, model, criterion):
'Prec@1 {top1.val:.3f} ({top1.avg:.3f})\t'
'Prec@5 {top5.val:.3f} ({top5.avg:.3f})'.format(
i, len(val_loader), batch_time=batch_time, loss=losses,
top1=top1, top5=top5), flush=True)
top1=top1, top5=top5))

print(' * Prec@1 {top1.avg:.3f} Prec@5 {top5.avg:.3f}'
.format(top1=top1, top5=top5), flush=True)
.format(top1=top1, top5=top5))

return top1.avg

Expand Down