Skip to content

RASR FSA join: add explicit dtypes for cumsum #94

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
Icemole merged 1 commit into from
Apr 15, 2026
Merged

RASR FSA join: add explicit dtypes for cumsum #94

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
4 changes: 2 additions & 2 deletions i6_models/parts/rasr_fsa.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -322,8 +322,8 @@ def join_fsas_fbw_v2(fsas: Iterable[FsaTuple]) -> WeightedFsaV2:
fsas = list(fsas) # ensure we can iterate multiple times over this iterable
num_states = [f[0] for f in fsas]
num_edges = [f[1] for f in fsas]
start_states = np.cumsum(np.array([0] + num_states, dtype=np.uint32))[:-1]
end_states = np.cumsum(num_states) - 1
start_states = np.cumsum(np.array([0] + num_states), dtype=np.uint32)[:-1]
end_states = np.cumsum(num_states, dtype=np.uint32) - 1
weights = np.concatenate(tuple(f[3] for f in fsas))

edges = []
Expand Down
Loading