Skip to content

Put validation loss under amp_autocast #1586

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
rwightman merged 1 commit into from
Dec 9, 2022
Merged

Put validation loss under amp_autocast #1586

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
16 changes: 8 additions & 8 deletions train.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -970,16 +970,16 @@ def validate(

with amp_autocast():
output = model(input)
if isinstance(output, (tuple, list)):
output = output[0]
if isinstance(output, (tuple, list)):
output = output[0]

# augmentation reduction
reduce_factor = args.tta
if reduce_factor > 1:
output = output.unfold(0, reduce_factor, reduce_factor).mean(dim=2)
target = target[0:target.size(0):reduce_factor]
# augmentation reduction
reduce_factor = args.tta
if reduce_factor > 1:
output = output.unfold(0, reduce_factor, reduce_factor).mean(dim=2)
target = target[0:target.size(0):reduce_factor]

loss = loss_fn(output, target)
loss = loss_fn(output, target)
acc1, acc5 = utils.accuracy(output, target, topk=(1, 5))

if args.distributed:
Expand Down
6 changes: 3 additions & 3 deletions validate.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -294,9 +294,9 @@ def validate(args):
with amp_autocast():
output = model(input)

if valid_labels is not None:
output = output[:, valid_labels]
loss = criterion(output, target)
if valid_labels is not None:
output = output[:, valid_labels]
loss = criterion(output, target)

if real_labels is not None:
real_labels.add_result(output)
Expand Down