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Eval loader transforms #850

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Merged
merged 3 commits into from
Jul 25, 2019
Merged

Eval loader transforms #850

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4d1afd4
Update to eval data loader in test_train_imagenet.py
zcain117 Jul 24, 2019
0790227
update comment on transforms
zcain117 Jul 24, 2019
5e12c7b
pull call to max() outside of transform
zcain117 Jul 24, 2019
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10 changes: 7 additions & 3 deletions test/test_train_imagenet.py
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Original file line number Diff line number Diff line change
Expand Up @@ -95,18 +95,22 @@ def train_imagenet():
batch_size=FLAGS.batch_size,
shuffle=True,
num_workers=FLAGS.num_workers)
resize_dim = max(img_dim, 256)
test_dataset = torchvision.datasets.ImageFolder(
os.path.join(FLAGS.datadir, 'val'),
# Matches Torchvision's eval transforms except Torchvision uses size
# 256 resize for all models both here and in the train loader. Their
# version crashes during training on 299x299 images, e.g. inception.
transforms.Compose([
transforms.RandomResizedCrop(img_dim),
transforms.RandomHorizontalFlip(),
transforms.Resize(resize_dim),
transforms.CenterCrop(img_dim),
transforms.ToTensor(),
normalize,
]))
test_loader = torch.utils.data.DataLoader(
test_dataset,
batch_size=FLAGS.batch_size,
shuffle=True,
shuffle=False,
num_workers=FLAGS.num_workers)

torch.manual_seed(42)
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