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35 changes: 35 additions & 0 deletions .github/workflows/backport_release.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -458,6 +458,41 @@ jobs:

echo "Released ${NEW_VERSION} on ${RELEASE_BRANCH}."

- name: Delete remote source branch
env:
GH_TOKEN: ${{ steps.app-token.outputs.token }}
REPO: ${{ github.repository }}
SOURCE_BRANCH: ${{ steps.resolve.outputs.source_branch }}
SOURCE_COMMIT: ${{ inputs.commit }}
RELEASE_BRANCH: ${{ steps.latest.outputs.release_branch }}
DEFAULT_BRANCH: ${{ github.event.repository.default_branch }}
run: |
set -euo pipefail

# Belt-and-braces: the resolve step already refuses the default branch,
# but never delete the default or the release branch under any
# circumstances.
if [[ "${SOURCE_BRANCH}" == "${DEFAULT_BRANCH}" || "${SOURCE_BRANCH}" == "${RELEASE_BRANCH}" ]]; then
echo "::error::Refusing to delete '${SOURCE_BRANCH}' (matches default or release branch)."
exit 1
fi

# Delete the source branch on origin, but only if its tip is still the
# SHA we released from. If someone pushed new commits to it after we
# resolved it, leave it alone — those commits would be silently lost.
current_tip="$(git ls-remote origin "refs/heads/${SOURCE_BRANCH}" | awk '{print $1}')"
if [[ -z "${current_tip}" ]]; then
echo "Source branch '${SOURCE_BRANCH}' no longer exists on origin; nothing to delete."
exit 0
fi
if [[ "${current_tip}" != "${SOURCE_COMMIT}" ]]; then
echo "::warning::Source branch '${SOURCE_BRANCH}' tip (${current_tip}) no longer matches released commit (${SOURCE_COMMIT}). Leaving it in place."
exit 0
fi

git push origin --delete "refs/heads/${SOURCE_BRANCH}"
echo "Deleted remote branch '${SOURCE_BRANCH}'."

- name: Summary
if: always()
env:
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1 change: 0 additions & 1 deletion comfy/samplers.py
Original file line number Diff line number Diff line change
Expand Up @@ -265,7 +265,6 @@ def _calc_cond_batch(model: BaseModel, conds: list[list[dict]], x_in: torch.Tens
input_shape = [len(batch_amount) * first_shape[0]] + list(first_shape)[1:]
cond_shapes = collections.defaultdict(list)
for tt in batch_amount:
cond = {k: v.size() for k, v in to_run[tt][0].conditioning.items()}
for k, v in to_run[tt][0].conditioning.items():
cond_shapes[k].append(v.size())

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