Skip to content

[PT2][Optimus] Skip meta update on symblic shape #134975

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

Closed
mengluy0125 wants to merge 1 commit into from
Closed

[PT2][Optimus] Skip meta update on symblic shape #134975

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
23 changes: 16 additions & 7 deletions torch/_inductor/fx_passes/group_batch_fusion.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -707,15 +707,24 @@ def fuse(self, graph: torch.fx.GraphModule, subset: List[torch.fx.Node]):
torch.baddbmm,
args=(unsqueeze_biases, stack_inputs, transpose_weight),
)
bmm.meta["example_value"] = torch.baddbmm(
unsqueeze_biases.meta["example_value"],
stack_inputs.meta["example_value"],
transpose_weight.meta["example_value"],
)
bmm_meta = bmm.meta["example_value"]
try:
# it will have runtime error to broadcast when it has dynamic shape included
# in the meta data, so we need to skip the update meta data
bmm.meta["example_value"] = torch.baddbmm(
unsqueeze_biases.meta["example_value"],
stack_inputs.meta["example_value"],
transpose_weight.meta["example_value"],
)
bmm_meta = bmm.meta["example_value"]
except Exception as e:
log.debug(
f" exception when update bmm meta data with stack error tracekey {e}" # noqa: G004
)
bmm_meta = None

bmm = graph.call_function(torch.unbind, args=(bmm,), kwargs={"dim": 0})
bmm.meta["example_value"] = torch.unbind(bmm_meta, dim=0)
if bmm_meta is not None:
bmm.meta["example_value"] = torch.unbind(bmm_meta, dim=0)
for i, linear in enumerate(batch_nodes):
with graph.inserting_after(bmm):
getitem = graph.call_function(operator.getitem, args=(bmm, i))
Expand Down