Skip to content

fix: deterministic ORT session release (int8 OOM) #149

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
ronaldtse merged 1 commit into from
Sep 3, 2026
Merged

fix: deterministic ORT session release (int8 OOM) #149

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
29 changes: 19 additions & 10 deletions src/imf/parity.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -166,6 +166,8 @@ def run_parity(
zip_path = Path(zip_path)
enc, kv = _sessions_from_zip(zip_path)

import gc

import yaml

with zipfile.ZipFile(zip_path) as zf:
Expand All @@ -175,16 +177,23 @@ def run_parity(
mismatches = 0
cer_ref_sum = 0.0
cer_onnx_sum = 0.0
for i, (source, gold) in enumerate(pairs):
n += 1
ref = reference[i] if reference is not None else _torch_greedy_tokens(
model, source, max_len
)
got = onnx_greedy_kv(enc, kv, source, max_len)
if ref != got:
mismatches += 1
cer_ref_sum += char_error_rate(_decode_tokens(ref), gold)
cer_onnx_sum += char_error_rate(_decode_tokens(got), gold)
try:
for i, (source, gold) in enumerate(pairs):
n += 1
ref = reference[i] if reference is not None else _torch_greedy_tokens(
model, source, max_len
)
got = onnx_greedy_kv(enc, kv, source, max_len)
if ref != got:
mismatches += 1
cer_ref_sum += char_error_rate(_decode_tokens(ref), gold)
cer_onnx_sum += char_error_rate(_decode_tokens(got), gold)
finally:
# ORT arenas accumulate across precision stages (six session
# lifetimes + the torch reference OOMed the container at int8);
# release deterministically instead of waiting on GC
del enc, kv
gc.collect()

cer_ref = 100.0 * cer_ref_sum / max(n, 1)
cer_onnx = 100.0 * cer_onnx_sum / max(n, 1)
Expand Down
Loading