Skip to content
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.

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

Non-reentrant checkpointing hook fix #5781

Merged
merged 7 commits into from
Aug 2, 2024
Merged
Changes from all commits
Commits
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
5 changes: 3 additions & 2 deletions deepspeed/runtime/activation_checkpointing/checkpointing.py
Original file line number Diff line number Diff line change
Expand Up @@ -965,8 +965,9 @@ def after_backward_hook(_nonuse_grads):

with torch.autograd.graph.saved_tensors_hooks(checkpoint_pack, checkpoint_unpack):
outputs = function(*inputs_cuda)
for leaf_tensor in leaf_tensors:
leaf_tensor.register_hook(after_backward_hook)
if PROFILE_TIME or SYNCHRONIZE:
for leaf_tensor in leaf_tensors:
leaf_tensor.register_hook(after_backward_hook)

see_memory_usage("After running forward on the layer", force=False)

Expand Down
Loading