From 2db957b65c80b133e15be91c52478a8cef409e7e Mon Sep 17 00:00:00 2001 From: Lincoln Stein Date: Mon, 14 Sep 2026 22:14:17 -0400 Subject: [PATCH 01/26] ci: build and publish Windows ARM64 wheels Adds a dispatch-only workflow that builds opencv-contrib-python, blake3 and tiktoken on the windows-11-arm runner and attaches them, with a flat index page, to a GitHub release for pyproject's Windows ARM64 sources to consume. Co-Authored-By: Claude Fable 5.1 Claude-Session: https://claude.ai/code/session_01NiaFTnYH9q9468Naf4PV3X --- .github/workflows/build-win-arm64-wheels.yml | 202 ++++++++++++++++++ scripts/win_arm64_wheels/make_flat_index.py | 51 +++++ .../win_arm64_wheels/patch_opencv_setup.py | 33 +++ 3 files changed, 286 insertions(+) create mode 100644 .github/workflows/build-win-arm64-wheels.yml create mode 100644 scripts/win_arm64_wheels/make_flat_index.py create mode 100644 scripts/win_arm64_wheels/patch_opencv_setup.py diff --git a/.github/workflows/build-win-arm64-wheels.yml b/.github/workflows/build-win-arm64-wheels.yml new file mode 100644 index 00000000000..c0c93a425b4 --- /dev/null +++ b/.github/workflows/build-win-arm64-wheels.yml @@ -0,0 +1,202 @@ +# Builds the Windows ARM64 wheels that PyPI does not provide -- opencv-contrib-python, blake3 and tiktoken -- +# on GitHub's native ARM64 runner and publishes them, together with a flat index page, as assets of a +# GitHub release. `pyproject.toml` resolves those three packages on Windows ARM64 from that page (the +# `invoke-win-arm64-wheels` index), and the manual-install docs pass the same page to `--find-links`. +# +# Run it once per wheel bump, before re-locking: the lockfile records the asset URLs and hashes. Bumping a +# version here means bumping the matching `; sys_platform == 'win32' and platform_machine == 'ARM64'` +# pins in pyproject.toml and, unless the tag changes, re-uploading over the old assets (`--clobber`). +name: build-win-arm64-wheels + +on: + workflow_dispatch: + inputs: + release_tag: + description: Release tag that receives the wheels and index.html (created if missing) + type: string + default: win-arm64-wheels-v1 + opencv_python_ref: + description: opencv-python git tag to build (the tag number is the last component of the version, e.g. 86 -> 4.11.0.86) + type: string + default: '86' + blake3_version: + description: blake3 version to build from its sdist + type: string + default: 1.0.9 + tiktoken_version: + description: tiktoken version to build from its sdist + type: string + default: 0.13.0 + +env: + # Keep in step with python-tests.yml and uv-lock-checks.yml. + UV_VERSION: '0.11.28' + # uv installs an x86_64 CPython on Windows ARM64 unless the request names the architecture. The + # wheels must be built by, and are smoke-tested with, the native interpreter. + PYTHON_REQUEST: cpython-3.12-windows-aarch64-none + +jobs: + opencv: + name: opencv-contrib-python + runs-on: windows-11-arm + # A full contrib build on the 4-vCPU runner is a multi-hour job. + timeout-minutes: 300 + steps: + - name: checkout + uses: actions/checkout@v6 + with: + sparse-checkout: scripts/win_arm64_wheels + + - name: setup uv + uses: astral-sh/setup-uv@v8.1.0 + with: + version: ${{ env.UV_VERSION }} + python-version: ${{ env.PYTHON_REQUEST }} + + - name: fetch opencv-python + shell: pwsh + run: | + git clone --recursive --depth 1 --branch ${{ inputs.opencv_python_ref }} https://github.com/opencv/opencv-python.git + uv run --no-project --python $env:PYTHON_REQUEST python scripts/win_arm64_wheels/patch_opencv_setup.py opencv-python/setup.py + + - name: build wheel + shell: pwsh + env: + ENABLE_CONTRIB: '1' + # -DPYTHON3_LIMITED_API=ON: one abi3 wheel for every CPython 3.x, as upstream ships. + # -DWITH_FFMPEG=OFF: OpenCV's ffmpeg wrapper DLL exists only for x86/x64; cv2.VideoCapture keeps the + # Media Foundation backend, and the app decodes through imageio first anyway. + # -DBUILD_opencv_rgbd=OFF: rgbd links the x86 intrinsic _tzcnt_u32 on ARM64 (opencv_contrib#3767). + # -DCMAKE_SYSTEM_VERSION=10.0.22621.0: the 10.0.26100 SDK's wchar.h breaks NEON type aliasing under + # MSVC for ARM64 (opencv/opencv#27401); the runner image carries both SDKs. + CMAKE_ARGS: -DPYTHON3_LIMITED_API=ON -DWITH_FFMPEG=OFF -DBUILD_opencv_rgbd=OFF -DCMAKE_SYSTEM_VERSION=10.0.22621.0 + CMAKE_BUILD_PARALLEL_LEVEL: '4' + run: | + uv venv build-venv --python $env:PYTHON_REQUEST + $py = "build-venv\Scripts\python.exe" + & $py -c "import platform, sys; assert platform.machine() == 'ARM64', platform.machine(); print(sys.version)" + uv pip install --python $py pip + & $py -m pip wheel ./opencv-python --wheel-dir dist --no-deps + Get-ChildItem dist + + - name: smoke test + shell: pwsh + run: | + uv venv smoke --python $env:PYTHON_REQUEST + $py = "smoke\Scripts\python.exe" + uv pip install --python $py numpy (Get-ChildItem dist\*.whl).FullName + & $py -c "import cv2, cv2.ximgproc, cv2.aruco; print(cv2.__version__); print(cv2.getBuildInformation())" + + - name: upload + uses: actions/upload-artifact@v6 + with: + name: wheels-opencv + path: dist/*.whl + if-no-files-found: error + + rust-wheels: + name: ${{ matrix.package }} + runs-on: windows-11-arm + timeout-minutes: 60 + strategy: + fail-fast: false + matrix: + include: + - package: blake3 + version: ${{ inputs.blake3_version }} + import: blake3 + - package: tiktoken + version: ${{ inputs.tiktoken_version }} + import: tiktoken + steps: + - name: setup uv + uses: astral-sh/setup-uv@v8.1.0 + with: + version: ${{ env.UV_VERSION }} + python-version: ${{ env.PYTHON_REQUEST }} + + - name: toolchain + shell: pwsh + run: | + rustc --version + cargo --version + rustc --print host-tuple + + - name: build wheel + shell: pwsh + run: | + uv venv build-venv --python $env:PYTHON_REQUEST + $py = "build-venv\Scripts\python.exe" + & $py -c "import platform; assert platform.machine() == 'ARM64', platform.machine()" + uv pip install --python $py pip + & $py -m pip wheel "${{ matrix.package }}==${{ matrix.version }}" --no-binary :all: --no-deps --wheel-dir dist + Get-ChildItem dist + + - name: smoke test + shell: pwsh + run: | + uv venv smoke --python $env:PYTHON_REQUEST + $py = "smoke\Scripts\python.exe" + uv pip install --python $py (Get-ChildItem dist\*.whl).FullName + & $py -c "import ${{ matrix.import }} as m; print(getattr(m, '__version__', 'ok'))" + + - name: upload + uses: actions/upload-artifact@v6 + with: + name: wheels-${{ matrix.package }} + path: dist/*.whl + if-no-files-found: error + + publish: + needs: [opencv, rust-wheels] + runs-on: ubuntu-latest + timeout-minutes: 20 + permissions: + contents: write + env: + GH_TOKEN: ${{ github.token }} + RELEASE_TAG: ${{ inputs.release_tag }} + steps: + - name: checkout + uses: actions/checkout@v6 + with: + sparse-checkout: scripts/win_arm64_wheels + + - name: download wheels + uses: actions/download-artifact@v8 + with: + pattern: wheels-* + path: dist + merge-multiple: true + + - name: write index.html + run: | + python3 scripts/win_arm64_wheels/make_flat_index.py --repo "$GITHUB_REPOSITORY" --tag "$RELEASE_TAG" dist/*.whl > dist/index.html + cat dist/index.html + + - name: upload release assets + run: | + if ! gh release view "$RELEASE_TAG" --repo "$GITHUB_REPOSITORY" >/dev/null 2>&1; then + gh release create "$RELEASE_TAG" --repo "$GITHUB_REPOSITORY" --latest=false \ + --title "Windows ARM64 wheels ($RELEASE_TAG)" \ + --notes "Self-built win_arm64 wheels consumed by pyproject.toml's invoke-win-arm64-wheels index. Built by the build-win-arm64-wheels workflow; not a release of Invoke itself." + fi + gh release upload "$RELEASE_TAG" --repo "$GITHUB_REPOSITORY" --clobber dist/*.whl dist/index.html + + - name: setup uv + uses: astral-sh/setup-uv@v8.1.0 + with: + version: ${{ env.UV_VERSION }} + + - name: verify the page resolves like the lock and the docs use it + # Cross-platform resolution against the published page, exactly as `uv lock` (flat index) and + # `uv pip install --find-links` (manual install) consume it. `--no-build` fails if any pin would + # need an sdist, i.e. if a wheel is missing from the page or the page is not being served as HTML. + run: | + for whl in dist/*.whl; do + name=$(basename "$whl"); pkg=${name%%-*}; rest=${name#*-}; ver=${rest%%-*} + echo "${pkg//_/-}==${ver}" >> reqs.txt + done + cat reqs.txt + uv pip compile reqs.txt --no-build --no-deps --python-version 3.12 --python-platform aarch64-pc-windows-msvc \ + --find-links "https://github.com/$GITHUB_REPOSITORY/releases/download/$RELEASE_TAG/index.html" diff --git a/scripts/win_arm64_wheels/make_flat_index.py b/scripts/win_arm64_wheels/make_flat_index.py new file mode 100644 index 00000000000..2ee3344e31f --- /dev/null +++ b/scripts/win_arm64_wheels/make_flat_index.py @@ -0,0 +1,51 @@ +"""Write the flat (find-links style) index page for the Windows ARM64 wheel release. + +The page is uploaded as a release asset next to the wheels. ``pyproject.toml`` points the +``invoke-win-arm64-wheels`` index at it, and the manual-install docs pass the same URL to +``uv pip install --find-links``. Every link is absolute because the asset is served from a redirect +target, so relative links would resolve against the wrong host, and carries ``#sha256=`` so installers +verify what they download. + +Usage: make_flat_index.py --repo owner/name --tag wheel [wheel ...] > index.html +""" + +import argparse +import hashlib +import html +import sys +from pathlib import Path + + +def asset_url(repo: str, tag: str, filename: str) -> str: + return f"https://github.com/{repo}/releases/download/{tag}/{filename}" + + +def render(repo: str, tag: str, wheels: list[Path]) -> str: + lines = [ + "", + "", + f"{html.escape(tag)}", + "", + ] + for wheel in sorted(wheels, key=lambda p: p.name): + if wheel.suffix != ".whl": + raise ValueError(f"not a wheel: {wheel}") + digest = hashlib.sha256(wheel.read_bytes()).hexdigest() + href = f"{asset_url(repo, tag, wheel.name)}#sha256={digest}" + lines.append(f'{html.escape(wheel.name)}
') + lines.append("") + return "\n".join(lines) + "\n" + + +def main(argv: list[str]) -> int: + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument("--repo", required=True, help="GitHub repository, owner/name") + parser.add_argument("--tag", required=True, help="release tag the wheels are attached to") + parser.add_argument("wheels", nargs="+", type=Path) + args = parser.parse_args(argv[1:]) + sys.stdout.write(render(args.repo, args.tag, args.wheels)) + return 0 + + +if __name__ == "__main__": + sys.exit(main(sys.argv)) diff --git a/scripts/win_arm64_wheels/patch_opencv_setup.py b/scripts/win_arm64_wheels/patch_opencv_setup.py new file mode 100644 index 00000000000..57eb5e15148 --- /dev/null +++ b/scripts/win_arm64_wheels/patch_opencv_setup.py @@ -0,0 +1,33 @@ +"""Drop the FFmpeg wrapper DLL requirement from opencv-python's ``setup.py`` for a Windows ARM64 build. + +OpenCV ships its ``opencv_videoio_ffmpeg*.dll`` wrapper only for x86/x64, yet ``setup.py`` lists it as a +required CMake output on every Windows build and raises ``Not found`` when it is absent. The ARM64 wheel is +built with ``-DWITH_FFMPEG=OFF`` (video decode falls back to Media Foundation), so the entry has to go. + +Usage: patch_opencv_setup.py path/to/opencv-python/setup.py +""" + +import sys +from pathlib import Path + +FFMPEG_DLL_ENTRY = '[r"bin/opencv_videoio_ffmpeg\\d{4}%s\\.dll" % ("_64" if is64 else "")]' + + +def patch(source: str) -> str: + if FFMPEG_DLL_ENTRY not in source: + raise ValueError("opencv-python setup.py no longer contains the ffmpeg DLL entry; update this script") + return source.replace(FFMPEG_DLL_ENTRY, "[]", 1) + + +def main(argv: list[str]) -> int: + if len(argv) != 2: + print(__doc__, file=sys.stderr) + return 2 + path = Path(argv[1]) + path.write_text(patch(path.read_text())) + print(f"patched {path}") + return 0 + + +if __name__ == "__main__": + sys.exit(main(sys.argv)) From 1147a7226965e9251145675f75b5d5eb2316abbd Mon Sep 17 00:00:00 2001 From: Lincoln Stein Date: Mon, 14 Sep 2026 22:15:27 -0400 Subject: [PATCH 02/26] ci: run the win-arm64 wheel build on PRs that change its recipe Co-Authored-By: Claude Fable 5.1 Claude-Session: https://claude.ai/code/session_01NiaFTnYH9q9468Naf4PV3X --- .github/workflows/build-win-arm64-wheels.yml | 22 +++++++++++++------- 1 file changed, 15 insertions(+), 7 deletions(-) diff --git a/.github/workflows/build-win-arm64-wheels.yml b/.github/workflows/build-win-arm64-wheels.yml index c0c93a425b4..b5ee05e1624 100644 --- a/.github/workflows/build-win-arm64-wheels.yml +++ b/.github/workflows/build-win-arm64-wheels.yml @@ -3,12 +3,18 @@ # GitHub release. `pyproject.toml` resolves those three packages on Windows ARM64 from that page (the # `invoke-win-arm64-wheels` index), and the manual-install docs pass the same page to `--find-links`. # -# Run it once per wheel bump, before re-locking: the lockfile records the asset URLs and hashes. Bumping a -# version here means bumping the matching `; sys_platform == 'win32' and platform_machine == 'ARM64'` -# pins in pyproject.toml and, unless the tag changes, re-uploading over the old assets (`--clobber`). +# Runs on dispatch, and on pull requests that change this workflow or its scripts (a workflow only becomes +# dispatchable once it is on the default branch, and a change to the build recipe is exactly when a rebuild is +# wanted). Run it before re-locking: the lockfile records the asset URLs and hashes. Bumping a version here +# means bumping the matching `; sys_platform == 'win32' and platform_machine == 'ARM64'` pins in +# pyproject.toml and, unless the tag changes, re-uploading over the old assets (`--clobber`). name: build-win-arm64-wheels on: + pull_request: + paths: + - '.github/workflows/build-win-arm64-wheels.yml' + - 'scripts/win_arm64_wheels/**' workflow_dispatch: inputs: release_tag: @@ -31,6 +37,9 @@ on: env: # Keep in step with python-tests.yml and uv-lock-checks.yml. UV_VERSION: '0.11.28' + # Dispatch inputs, with the same defaults for pull_request runs. + RELEASE_TAG: ${{ inputs.release_tag || 'win-arm64-wheels-v1' }} + OPENCV_PYTHON_REF: ${{ inputs.opencv_python_ref || '86' }} # uv installs an x86_64 CPython on Windows ARM64 unless the request names the architecture. The # wheels must be built by, and are smoke-tested with, the native interpreter. PYTHON_REQUEST: cpython-3.12-windows-aarch64-none @@ -56,7 +65,7 @@ jobs: - name: fetch opencv-python shell: pwsh run: | - git clone --recursive --depth 1 --branch ${{ inputs.opencv_python_ref }} https://github.com/opencv/opencv-python.git + git clone --recursive --depth 1 --branch $env:OPENCV_PYTHON_REF https://github.com/opencv/opencv-python.git uv run --no-project --python $env:PYTHON_REQUEST python scripts/win_arm64_wheels/patch_opencv_setup.py opencv-python/setup.py - name: build wheel @@ -103,10 +112,10 @@ jobs: matrix: include: - package: blake3 - version: ${{ inputs.blake3_version }} + version: ${{ inputs.blake3_version || '1.0.9' }} import: blake3 - package: tiktoken - version: ${{ inputs.tiktoken_version }} + version: ${{ inputs.tiktoken_version || '0.13.0' }} import: tiktoken steps: - name: setup uv @@ -155,7 +164,6 @@ jobs: contents: write env: GH_TOKEN: ${{ github.token }} - RELEASE_TAG: ${{ inputs.release_tag }} steps: - name: checkout uses: actions/checkout@v6 From 094d519cc500c0c35facdfe69b6ca7a9018a21d5 Mon Sep 17 00:00:00 2001 From: Lincoln Stein Date: Mon, 14 Sep 2026 22:20:28 -0400 Subject: [PATCH 03/26] feat: tolerate missing mediapipe, umap and bitsandbytes at runtime Windows ARM64 has no wheels for mediapipe's legacy solutions API, numba or passlib-compatible bcrypt. Face nodes import lazily and name the platform when used, the image map falls back to a PCA projection without umap-learn, password hashing calls bcrypt directly, bitsandbytes guards survive a build whose native library fails to load, and startup logs the torch build. Co-Authored-By: Claude Fable 5.1 Claude-Session: https://claude.ai/code/session_01NiaFTnYH9q9468Naf4PV3X --- invokeai/app/invocations/facetools.py | 10 ++++- invokeai/app/run_app.py | 3 ++ invokeai/app/services/auth/password_utils.py | 41 +++++++++---------- .../app/services/image_index/projection.py | 36 ++++++++++++---- invokeai/app/util/startup_utils.py | 17 ++++++++ .../image_util/mediapipe_face/__init__.py | 14 ++++++- .../torch_module_autocast.py | 2 +- .../model_manager/load/model_loaders/flux.py | 2 +- .../patches/layers/param_shape_utils.py | 2 +- .../app/services/auth/test_password_utils.py | 6 +++ .../services/image_index/test_projection.py | 20 +++++++++ .../services/image_index/test_umap_import.py | 6 ++- .../image_util/test_mediapipe_face_gate.py | 38 +++++++++++++++++ 13 files changed, 161 insertions(+), 36 deletions(-) create mode 100644 tests/backend/image_util/test_mediapipe_face_gate.py diff --git a/invokeai/app/invocations/facetools.py b/invokeai/app/invocations/facetools.py index 1092a67ce95..c6d3ece54ec 100644 --- a/invokeai/app/invocations/facetools.py +++ b/invokeai/app/invocations/facetools.py @@ -5,7 +5,6 @@ import cv2 import numpy as np -from mediapipe.python.solutions.face_mesh import FaceMesh # type: ignore[import] from PIL import Image, ImageDraw, ImageFilter, ImageFont, ImageOps from PIL.Image import Image as ImageType from pydantic import field_validator @@ -20,6 +19,7 @@ from invokeai.app.invocations.primitives import ImageOutput from invokeai.app.services.image_records.image_records_common import ImageCategory from invokeai.app.services.shared.invocation_context import InvocationContext +from invokeai.backend.image_util.mediapipe_face import MEDIAPIPE_UNAVAILABLE_MESSAGE @invocation_output("face_mask_output") @@ -194,7 +194,13 @@ def generate_face_box_mask( # Convert RGBA to RGB by removing the alpha channel. np_image = np_image[:, :, :3] - # Create a FaceMesh object for face landmark detection and mesh generation. + # Create a FaceMesh object for face landmark detection and mesh generation. Imported here, not at + # module level: mediapipe is absent on Windows ARM64 and this module is imported at startup. + try: + from mediapipe.python.solutions.face_mesh import FaceMesh # type: ignore[import] + except ImportError as e: + raise RuntimeError(MEDIAPIPE_UNAVAILABLE_MESSAGE) from e + face_mesh = FaceMesh( max_num_faces=999, min_detection_confidence=minimum_confidence, diff --git a/invokeai/app/run_app.py b/invokeai/app/run_app.py index 759c246b14c..c2ba99625af 100644 --- a/invokeai/app/run_app.py +++ b/invokeai/app/run_app.py @@ -83,12 +83,15 @@ def run_app() -> None: from invokeai.app.util.startup_utils import ( apply_monkeypatches, check_cudnn, + describe_torch_build, enable_dev_reload, find_open_port, register_mime_types, ) from invokeai.backend.krea2.attention import resolve_krea2_sdpa_backends + logger.info(describe_torch_build()) + # Find an open port, and modify the config accordingly. first_open_port = find_open_port(app_config.port) if app_config.port != first_open_port: diff --git a/invokeai/app/services/auth/password_utils.py b/invokeai/app/services/auth/password_utils.py index b960af5f1c5..c61827bdd24 100644 --- a/invokeai/app/services/auth/password_utils.py +++ b/invokeai/app/services/auth/password_utils.py @@ -1,16 +1,25 @@ """Password hashing and validation utilities.""" -from typing import Literal, cast +from typing import Literal -from passlib.context import CryptContext +import bcrypt -# Configure bcrypt context - set truncate_error=False to allow passwords >72 bytes -# without raising an error. They will be automatically truncated by bcrypt to 72 bytes. -pwd_context = CryptContext( - schemes=["bcrypt"], - deprecated="auto", - bcrypt__truncate_error=False, -) +# bcrypt's work factor. This is also bcrypt.gensalt()'s default and what every stored hash so far was +# produced with (via passlib, which this module used to wrap); stated explicitly so a library default +# change cannot silently weaken new hashes. +BCRYPT_ROUNDS = 12 + + +def _password_bytes(password: str) -> bytes: + """Encode a password for bcrypt, truncating to its 72-byte limit. + + Truncation drops any incomplete trailing UTF-8 sequence, so hashing and verification agree byte + for byte on long passwords rather than depending on how the library treats over-long input. + """ + password_bytes = password.encode("utf-8") + if len(password_bytes) > 72: + password_bytes = password_bytes[:72].decode("utf-8", errors="ignore").encode("utf-8") + return password_bytes def hash_password(password: str) -> str: @@ -25,12 +34,7 @@ def hash_password(password: str) -> str: Returns: The hashed password """ - # bcrypt has a 72 byte limit - encode and truncate if necessary - password_bytes = password.encode("utf-8") - if len(password_bytes) > 72: - # Truncate to 72 bytes and decode back, dropping incomplete UTF-8 sequences - password = password_bytes[:72].decode("utf-8", errors="ignore") - return cast(str, pwd_context.hash(password)) + return bcrypt.hashpw(_password_bytes(password), bcrypt.gensalt(rounds=BCRYPT_ROUNDS)).decode("ascii") def verify_password(plain_password: str, hashed_password: str) -> bool: @@ -47,12 +51,7 @@ def verify_password(plain_password: str, hashed_password: str) -> bool: True if the password matches the hash, False otherwise """ try: - # bcrypt has a 72 byte limit - encode and truncate if necessary to match hash_password - password_bytes = plain_password.encode("utf-8") - if len(password_bytes) > 72: - # Truncate to 72 bytes and decode back, dropping incomplete UTF-8 sequences - plain_password = password_bytes[:72].decode("utf-8", errors="ignore") - return cast(bool, pwd_context.verify(plain_password, hashed_password)) + return bcrypt.checkpw(_password_bytes(plain_password), hashed_password.encode("ascii")) except Exception: # Invalid hash format or other error - return False return False diff --git a/invokeai/app/services/image_index/projection.py b/invokeai/app/services/image_index/projection.py index ecadd0963a5..23043ca2a44 100644 --- a/invokeai/app/services/image_index/projection.py +++ b/invokeai/app/services/image_index/projection.py @@ -14,6 +14,7 @@ import hashlib import json +import logging import warnings from typing import Optional @@ -21,6 +22,9 @@ from invokeai.app.services.image_index.image_index_common import EMBEDDING_DTYPE, IndexedItem +logger = logging.getLogger(__name__) +_umap_unavailable_logged = False + DEFAULT_CLUSTER_EPS = 0.2 DEFAULT_CLUSTER_MIN_SAMPLES = 10 DEFAULT_UMAP_SEED = 42 @@ -40,6 +44,16 @@ def projection_params(seed: int = DEFAULT_UMAP_SEED, n_points: int = 0) -> str: ) +def _pca_projection(embeddings: np.ndarray) -> np.ndarray: + """Deterministic (N, 2) projection onto the two leading principal components.""" + centered = embeddings.astype(np.float64) - embeddings.mean(axis=0) + _, _, vt = np.linalg.svd(centered, full_matrices=False) + coords = centered @ vt[:2].T + if coords.shape[1] < 2: + coords = np.pad(coords, ((0, 0), (0, 2 - coords.shape[1]))) + return coords.astype(EMBEDDING_DTYPE) + + def compute_umap(embeddings: np.ndarray, seed: int = DEFAULT_UMAP_SEED) -> np.ndarray: """Project an (N, D) embedding matrix to (N, 2) with UMAP. @@ -48,20 +62,26 @@ def compute_umap(embeddings: np.ndarray, seed: int = DEFAULT_UMAP_SEED) -> np.nd cannot fit them (n_neighbors must exceed 1, and spectral initialization needs fewer components than points). Raises on UMAP failure — the caller decides what a failed fit means for its cache. + + Where umap-learn is not installed (Windows ARM64: numba ships no wheel for + its Python), every size takes the PCA projection instead, so the map stays + usable — less structured, but deterministic and dependency-free. """ + global _umap_unavailable_logged if embeddings.shape[0] == 0: return np.empty((0, 2), dtype=EMBEDDING_DTYPE) if embeddings.shape[0] == 1: return np.zeros((1, 2), dtype=EMBEDDING_DTYPE) if embeddings.shape[0] <= 3: - centered = embeddings.astype(np.float64) - embeddings.mean(axis=0) - _, _, vt = np.linalg.svd(centered, full_matrices=False) - coords = centered @ vt[:2].T - if coords.shape[1] < 2: - coords = np.pad(coords, ((0, 0), (0, 2 - coords.shape[1]))) - return coords.astype(EMBEDDING_DTYPE) - - from umap import UMAP + return _pca_projection(embeddings) + + try: + from umap import UMAP + except ImportError: + if not _umap_unavailable_logged: + logger.warning("umap-learn is not installed; the image map falls back to a PCA projection.") + _umap_unavailable_logged = True + return _pca_projection(embeddings) with warnings.catch_warnings(): # UMAP warns about TBB versions and small-N spectral fallbacks; both diff --git a/invokeai/app/util/startup_utils.py b/invokeai/app/util/startup_utils.py index 8a5c49399c0..f21d58582d7 100644 --- a/invokeai/app/util/startup_utils.py +++ b/invokeai/app/util/startup_utils.py @@ -1,5 +1,6 @@ import logging import mimetypes +import platform import socket from pathlib import Path @@ -18,6 +19,22 @@ def find_open_port(port: int) -> int: return port +def describe_torch_build() -> str: + """One line naming the torch build and host platform, for the startup log. + + Out-of-tree torch builds (NVIDIA's `+cu134` wheels for Windows on ARM64) and ROCm builds all report + `device.type == "cuda"`, so the device line alone does not say what is actually running; a bug + report needs the version string, the accelerator API and the CPU architecture. + """ + if torch.version.hip is not None: + accelerator = f"HIP {torch.version.hip}" + elif torch.version.cuda is not None: + accelerator = f"CUDA {torch.version.cuda}" + else: + accelerator = "no CUDA/HIP" + return f"torch {torch.__version__} ({accelerator}) on {platform.system()} {platform.machine()}" + + def check_cudnn(logger: logging.Logger) -> None: """Check for cuDNN issues that could be causing degraded performance.""" if torch.backends.cudnn.is_available(): diff --git a/invokeai/backend/image_util/mediapipe_face/__init__.py b/invokeai/backend/image_util/mediapipe_face/__init__.py index da41425b433..b9217637374 100644 --- a/invokeai/backend/image_util/mediapipe_face/__init__.py +++ b/invokeai/backend/image_util/mediapipe_face/__init__.py @@ -2,13 +2,25 @@ from PIL import Image -from invokeai.backend.image_util.mediapipe_face.mediapipe_face_common import generate_annotation from invokeai.backend.image_util.util import np_to_pil, pil_to_np +# mediapipe is imported lazily: the package is absent on Windows ARM64, where its only wheel is the +# Tasks-API build without the legacy `solutions` API these modules use, and every node module is +# imported at startup. +MEDIAPIPE_UNAVAILABLE_MESSAGE = ( + "MediaPipe is not available on this platform (its legacy `solutions` API has no Windows ARM64 build), " + "so the MediaPipe face detection preprocessor and the Face Tools nodes cannot run here." +) + def detect_faces(image: Image.Image, max_faces: int = 1, min_confidence: float = 0.5) -> Image.Image: """Detects faces in an image using MediaPipe.""" + try: + from invokeai.backend.image_util.mediapipe_face.mediapipe_face_common import generate_annotation + except ImportError as e: + raise RuntimeError(MEDIAPIPE_UNAVAILABLE_MESSAGE) from e + np_img = pil_to_np(image) detected_map = generate_annotation(np_img, max_faces, min_confidence) detected_map_pil = np_to_pil(detected_map) diff --git a/invokeai/backend/model_manager/load/model_cache/torch_module_autocast/torch_module_autocast.py b/invokeai/backend/model_manager/load/model_cache/torch_module_autocast/torch_module_autocast.py index c01d7893106..aa5b3692a1f 100644 --- a/invokeai/backend/model_manager/load/model_cache/torch_module_autocast/torch_module_autocast.py +++ b/invokeai/backend/model_manager/load/model_cache/torch_module_autocast/torch_module_autocast.py @@ -61,7 +61,7 @@ AUTOCAST_MODULE_TYPE_MAPPING[InvokeLinear8bitLt] = CustomInvokeLinear8bitLt AUTOCAST_MODULE_TYPE_MAPPING[InvokeLinearNF4] = CustomInvokeLinearNF4 -except ImportError: +except Exception: # bnb may import and then fail loading its native library (RuntimeError/OSError) pass diff --git a/invokeai/backend/model_manager/load/model_loaders/flux.py b/invokeai/backend/model_manager/load/model_loaders/flux.py index 7e1dfc9a8a2..346562e8772 100644 --- a/invokeai/backend/model_manager/load/model_loaders/flux.py +++ b/invokeai/backend/model_manager/load/model_loaders/flux.py @@ -118,7 +118,7 @@ from invokeai.backend.quantization.bnb_nf4 import quantize_model_nf4 bnb_available = True -except ImportError: +except Exception: # bnb may import and then fail loading its native library (RuntimeError/OSError) bnb_available = False app_config = get_config() diff --git a/invokeai/backend/patches/layers/param_shape_utils.py b/invokeai/backend/patches/layers/param_shape_utils.py index 4eab1daaa41..66f82a60170 100644 --- a/invokeai/backend/patches/layers/param_shape_utils.py +++ b/invokeai/backend/patches/layers/param_shape_utils.py @@ -4,7 +4,7 @@ from bitsandbytes.nn.modules import Params4bit bnb_available: bool = True -except ImportError: +except Exception: # bnb may import and then fail loading its native library (RuntimeError/OSError) bnb_available: bool = False diff --git a/tests/app/services/auth/test_password_utils.py b/tests/app/services/auth/test_password_utils.py index 4f080c442d4..b0bea31d9f3 100644 --- a/tests/app/services/auth/test_password_utils.py +++ b/tests/app/services/auth/test_password_utils.py @@ -13,6 +13,12 @@ class TestPasswordHashing: """Tests for password hashing functionality.""" + def test_verifies_hash_produced_by_the_former_passlib_implementation(self): + """Stored hashes predate the move from passlib to bcrypt; they must keep working unchanged.""" + legacy_hash = "$2b$12$J970vy.cTtGocHG43lQjHumLWqfH52APLnkUnexH2QkzsCynrn6X2" # passlib, "TestPassword123" + assert verify_password("TestPassword123", legacy_hash) + assert not verify_password("testpassword123", legacy_hash) + def test_hash_password_returns_different_hash_each_time(self): """Test that hashing the same password twice produces different hashes (due to salt).""" password = "TestPassword123" diff --git a/tests/app/services/image_index/test_projection.py b/tests/app/services/image_index/test_projection.py index 6233ef6fb3d..205752e37b3 100644 --- a/tests/app/services/image_index/test_projection.py +++ b/tests/app/services/image_index/test_projection.py @@ -1,12 +1,14 @@ """Tests for the pure projection/clustering functions (UMAP, DBSCAN, scope hashing).""" import json +import sys import numpy as np from invokeai.app.services.image_index.image_index_common import IndexedItem from invokeai.app.services.image_index.projection import ( DEFAULT_CLUSTER_EPS, + _pca_projection, adaptive_cluster_eps, compute_clusters, compute_umap, @@ -228,3 +230,21 @@ def _blob_coords() -> np.ndarray: return np.concatenate([rng.standard_normal((20, 2)) * 0.1 + offset for offset in ([0, 0], [5, 5])]).astype( np.float32 ) + + +def test_umap_missing_falls_back_to_pca(monkeypatch) -> None: + """Without umap-learn (Windows ARM64 has no numba wheel), every gallery size still gets a map.""" + from invokeai.app.services.image_index import projection + + monkeypatch.setitem(sys.modules, "umap", None) + monkeypatch.setattr(projection, "_umap_unavailable_logged", False) + embeddings = _blobs() + coords = compute_umap(embeddings) + assert coords.shape == (embeddings.shape[0], 2) + assert coords.dtype == np.float32 + assert np.isfinite(coords).all() + # The fallback is the deterministic PCA projection, and it must still separate the blobs. + assert np.array_equal(coords, _pca_projection(embeddings)) + span = np.ptp(coords, axis=0).max() + labels = compute_clusters(coords, eps=span * 0.05, min_samples=10) + assert len({label for label in labels if label != -1}) >= 2 diff --git a/tests/app/services/image_index/test_umap_import.py b/tests/app/services/image_index/test_umap_import.py index ab109857baf..720fe208e87 100644 --- a/tests/app/services/image_index/test_umap_import.py +++ b/tests/app/services/image_index/test_umap_import.py @@ -8,8 +8,12 @@ default selection can absorb. """ -import numba import numpy as np +import pytest + +# Windows ARM64 has no numba wheel for its Python, so pyproject excludes the umap/numba stack there and +# the image map takes compute_umap's PCA fallback; that path is covered by test_projection.py. +numba = pytest.importorskip("numba", reason="umap-learn/numba are not installed on this platform") def test_numba_jit_is_active() -> None: diff --git a/tests/backend/image_util/test_mediapipe_face_gate.py b/tests/backend/image_util/test_mediapipe_face_gate.py new file mode 100644 index 00000000000..498eab4833c --- /dev/null +++ b/tests/backend/image_util/test_mediapipe_face_gate.py @@ -0,0 +1,38 @@ +"""MediaPipe is absent on Windows ARM64 (no wheel carries its legacy `solutions` API there). + +The face preprocessor and the Face Tools nodes must still import at startup -- every node module is +imported by `load_all_modules()` -- and fail with a message that names the platform when used. +""" + +import sys + +import numpy as np +import pytest +from PIL import Image + +from invokeai.app.invocations.facetools import generate_face_box_mask +from invokeai.backend.image_util.mediapipe_face import MEDIAPIPE_UNAVAILABLE_MESSAGE, detect_faces + + +@pytest.fixture +def no_mediapipe(monkeypatch): + """Make every `import mediapipe...` fail, including modules already cached from earlier tests.""" + for name in [m for m in sys.modules if m == "mediapipe" or m.startswith("mediapipe.")]: + monkeypatch.delitem(sys.modules, name, raising=False) + monkeypatch.delitem(sys.modules, "invokeai.backend.image_util.mediapipe_face.mediapipe_face_common", raising=False) + monkeypatch.setitem(sys.modules, "mediapipe", None) + + +def _image() -> Image.Image: + return Image.fromarray(np.zeros((64, 64, 3), dtype=np.uint8)) + + +def test_detect_faces_reports_missing_mediapipe(no_mediapipe): + with pytest.raises(RuntimeError, match="MediaPipe is not available"): + detect_faces(_image()) + + +def test_face_box_mask_reports_missing_mediapipe(no_mediapipe): + with pytest.raises(RuntimeError) as excinfo: + generate_face_box_mask(context=None, minimum_confidence=0.5, x_offset=0, y_offset=0, pil_image=_image()) # type: ignore[arg-type] + assert str(excinfo.value) == MEDIAPIPE_UNAVAILABLE_MESSAGE From 5da1d0760f29b4f63f85764c6a810c7d75b4dee4 Mon Sep 17 00:00:00 2001 From: Lincoln Stein Date: Mon, 14 Sep 2026 22:24:08 -0400 Subject: [PATCH 04/26] ci: check the lockfile for Windows ARM64 and test on windows-11-arm check_aarch64_lock.py becomes check_platform_locks.py: the aarch64 check is unchanged, and win32/ARM64 additionally requires torch from NVIDIA's index and a win_arm64 wheel for every package in the closure. python-tests gains a 3.12-only windows-11-arm lane. Co-Authored-By: Claude Fable 5.1 Claude-Session: https://claude.ai/code/session_01NiaFTnYH9q9468Naf4PV3X --- .github/workflows/python-tests.yml | 29 ++- .github/workflows/uv-lock-checks.yml | 23 +- scripts/check_aarch64_lock.py | 177 --------------- scripts/check_platform_locks.py | 313 +++++++++++++++++++++++++++ tests/test_check_platform_locks.py | 164 ++++++++++++++ 5 files changed, 516 insertions(+), 190 deletions(-) delete mode 100644 scripts/check_aarch64_lock.py create mode 100644 scripts/check_platform_locks.py create mode 100644 tests/test_check_platform_locks.py diff --git a/.github/workflows/python-tests.yml b/.github/workflows/python-tests.yml index d26a66c1758..c43827d0731 100644 --- a/.github/workflows/python-tests.yml +++ b/.github/workflows/python-tests.yml @@ -52,6 +52,11 @@ jobs: - linux-cpu - macos-default - windows-cpu + - windows-arm64 + exclude: + # Windows ARM64 is a 3.12-only platform: PyWavelets and PyYAML ship win_arm64 wheels for 3.12+ only. + - platform: windows-arm64 + python-version: '3.11' include: - platform: linux-cpu os: ubuntu-24.04 @@ -63,9 +68,20 @@ jobs: - platform: windows-cpu os: windows-2022 github-env: $env:GITHUB_ENV + # Windows on ARM64 (NVIDIA RTX Spark). The lockfile's ARM64 fork is exercised nowhere else: + # torch 2.14.0+cu134 from NVIDIA's index (a 1.85 GB wheel, CPU-only on this runner), numpy 2, + # onnxruntime 1.30, sentencepiece 0.2.2 and the self-built opencv/blake3/tiktoken wheels. uv + # installs an x86_64 CPython on ARM64 Windows unless the request names the architecture. + - platform: windows-arm64 + os: windows-11-arm + uv-python: cpython-3.12-windows-aarch64-none + timeout-minutes: 60 + github-env: $env:GITHUB_ENV name: 'py${{ matrix.python-version }}: ${{ matrix.platform }}' runs-on: ${{ matrix.os }} - timeout-minutes: 30 # expected run time: 8-14 min, depending on platform and uv cache state + # Expected run time: 8-14 min, depending on platform and uv cache state; the ARM64 lane also downloads + # the NVIDIA torch wheel and builds imageio-ffmpeg from its sdist. + timeout-minutes: ${{ matrix.timeout-minutes || 30 }} env: PIP_USE_PEP517: '1' # One compute thread per worker. Torch otherwise sizes its thread pools to the whole @@ -124,7 +140,16 @@ jobs: with: version: '0.11.28' # When updating this, make sure the version in launcher's package.json gets updated too. enable-cache: true - python-version: ${{ matrix.python-version }} + python-version: ${{ matrix.uv-python || matrix.python-version }} + + - name: prepare the ARM64 runner + if: ${{ matrix.platform == 'windows-arm64' && (steps.changed-files.outputs.python_any_changed == 'true' || inputs.always_run == true) }} + # The imageio-ffmpeg sdist bundles no ffmpeg binary; the video tests find one on PATH. Chocolatey's + # package is an x64 build, which Windows on ARM runs under emulation. + run: | + uv run --no-project python -c "import platform, sys; assert platform.machine() == 'ARM64', platform.machine(); print(sys.version)" + choco install ffmpeg -y --no-progress + ffmpeg -version | Select-Object -First 1 - name: install dependencies if: ${{ steps.changed-files.outputs.python_any_changed == 'true' || inputs.always_run == true }} diff --git a/.github/workflows/uv-lock-checks.yml b/.github/workflows/uv-lock-checks.yml index e64cef1297c..9d9cfed1210 100644 --- a/.github/workflows/uv-lock-checks.yml +++ b/.github/workflows/uv-lock-checks.yml @@ -4,8 +4,8 @@ # If the pins check fails, update the torch index URLs in `pins.json` to match # the `[[tool.uv.index]]` entries in `pyproject.toml` (see scripts/check_pins.py). # -# Also checks that the lockfile keeps working for linux/aarch64, which no test job covers. -# This reads the lockfile only - no ARM hardware or extra resolution needed. +# Also checks that the lockfile keeps working for linux/aarch64 and Windows on ARM64 (see +# scripts/check_platform_locks.py). This reads the lockfile only - no ARM hardware or extra resolution needed. name: 'uv lock checks' @@ -70,11 +70,11 @@ jobs: - 'uv.lock' - 'pins.json' - 'scripts/check_pins.py' - aarch64check: - - 'scripts/check_aarch64_lock.py' + platformcheck: + - 'scripts/check_platform_locks.py' - name: setup uv - if: ${{ steps.changed-files.outputs.uvlock-pyprojecttoml_any_changed == 'true' || steps.changed-files.outputs.aarch64check_any_changed == 'true' || inputs.always_run == true }} + if: ${{ steps.changed-files.outputs.uvlock-pyprojecttoml_any_changed == 'true' || steps.changed-files.outputs.platformcheck_any_changed == 'true' || inputs.always_run == true }} uses: astral-sh/setup-uv@v8.1.0 with: version: '0.11.28' # When updating this, make sure the version in launcher's package.json gets updated too. @@ -90,14 +90,15 @@ jobs: run: python3 scripts/check_pins.py # pins.json is consumed by the launcher; keep its torch index URLs in sync with pyproject.toml shell: bash - - name: check aarch64 support in lockfile + - name: check aarch64 and Windows ARM64 support in lockfile # Also runs when the check itself changes, so edits to it are exercised. - if: ${{ steps.changed-files.outputs.uvlock-pyprojecttoml_any_changed == 'true' || steps.changed-files.outputs.aarch64check_any_changed == 'true' || inputs.always_run == true }} + if: ${{ steps.changed-files.outputs.uvlock-pyprojecttoml_any_changed == 'true' || steps.changed-files.outputs.platformcheck_any_changed == 'true' || inputs.always_run == true }} # On linux/aarch64 torch and torchvision must resolve from PyPI rather than from the PyTorch WHL - # indexes, which have no aarch64 torchvision wheel. Several things in pyproject.toml have to hold - # for that, and breaking most of them leaves a lockfile with no torch at all on aarch64 while - # `uv lock --locked` above still passes. See the script's docstring. + # indexes, which have no aarch64 torchvision wheel; on Windows ARM64 they must come from NVIDIA's + # index and every package in the closure needs a win_arm64 wheel. Several things in pyproject.toml + # have to hold for that, and breaking most of them leaves a lockfile that installs nothing usable + # there while `uv lock --locked` above still passes. See the script's docstring. # `--no-project` keeps `uv run` from syncing the whole project just to run this. `packaging` is # capped so a future release tightening wheel-filename parsing can't change the verdict on its own. - run: uv run --no-project --with 'packaging<26' --python 3.12 scripts/check_aarch64_lock.py ./uv.lock + run: uv run --no-project --with 'packaging<26' --python 3.12 scripts/check_platform_locks.py ./uv.lock shell: bash diff --git a/scripts/check_aarch64_lock.py b/scripts/check_aarch64_lock.py deleted file mode 100644 index 2fdb5a0ed02..00000000000 --- a/scripts/check_aarch64_lock.py +++ /dev/null @@ -1,177 +0,0 @@ -"""Assert that `uv.lock` gives linux/aarch64 an installable torch and torchvision. - -Nothing else in CI covers aarch64. Three separate mechanisms in `pyproject.toml` conspire to make torch -resolve from PyPI there instead of from the PyTorch WHL indexes (which ship no aarch64 torchvision wheel): -`tool.uv.environments`, the `[tool.uv.sources]` platform markers, and the aarch64 fallback pins in each -torch extra. Break the sources markers and `uv lock` fails loudly, but break either of the other two and -the lockfile simply stops mentioning torch on aarch64 while `uv lock --locked` stays green -- which is how -aarch64 support was silently lost once before, when a ROCm bump narrowed `tool.uv.environments`. - -So assert against the lockfile itself, which is the artifact users actually install from. - -Usage: check_aarch64_lock.py [path/to/uv.lock] (needs `packaging`) -""" - -import sys -import tomllib -from pathlib import Path -from typing import Any -from urllib.parse import unquote - -from packaging.markers import Marker -from packaging.specifiers import SpecifierSet -from packaging.utils import InvalidWheelFilename, parse_wheel_filename - -# A linux/aarch64 interpreter, for evaluating the lockfile's environment markers. `python_version` is -# filled in per supported minor version below. -AARCH64_ENV = { - "sys_platform": "linux", - "platform_machine": "aarch64", - "platform_system": "Linux", - "os_name": "posix", - "implementation_name": "cpython", - "platform_python_implementation": "CPython", -} - -REQUIRED = ("torch", "torchvision") - - -def env_for(python_version: str, extra: str | None = None) -> dict[str, str]: - env = {**AARCH64_ENV, "python_version": python_version, "python_full_version": f"{python_version}.0"} - if extra is not None: - env["extra"] = extra - return env - - -def matches(marker: str | None, env: dict[str, str]) -> bool: - return marker is None or Marker(marker).evaluate(env) - - -def supported_python_versions(requires_python: str) -> list[str]: - """The `3.x` versions admitted by the lockfile's `requires-python` (e.g. ">=3.11, <3.13" -> 3.11, 3.12).""" - spec = SpecifierSet(requires_python) - return [f"3.{minor}" for minor in range(8, 30) if spec.contains(f"3.{minor}.0")] - - -def has_aarch64_wheel(package: dict[str, Any], python_version: str) -> bool: - """Whether `package` ships a linux/aarch64 wheel usable by CPython `python_version`. - - Only linux aarch64 counts -- macOS arm64 wheels (`macosx_11_0_arm64`) are a different platform. - """ - minor = int(python_version.split(".")[1]) - accepted = {f"cp3{minor}", "py3", f"py3{minor}"} - for wheel in package.get("wheels", []): - # The PyTorch WHL indexes percent-encode the `+` of local versions in wheel URLs (`torch-2.7.1%2Bcpu-...`). - filename = unquote(wheel.get("url", wheel.get("path", "")).rsplit("/", 1)[-1]) - if not filename.endswith(".whl"): - continue - try: - tags = parse_wheel_filename(filename)[3] - except InvalidWheelFilename as e: - # The exception message names the offending filename. - sys.exit(f"unparseable wheel filename in uv.lock ({e}) -- update scripts/check_aarch64_lock.py") - for tag in tags: - if "aarch64" not in tag.platform: - continue - if tag.interpreter in accepted: - return True - # An abi3 wheel built for an older CPython also works on this one. - if tag.abi == "abi3" and tag.interpreter.startswith("cp3") and tag.interpreter[3:].isdigit(): - if int(tag.interpreter[3:]) <= minor: - return True - return False - - -def main() -> int: - lock_path = Path(sys.argv[1] if len(sys.argv) > 1 else "uv.lock") - if not lock_path.is_file(): - print(f"File not found: {lock_path}", file=sys.stderr) - return 1 - - text = lock_path.read_text() - lock = tomllib.loads(text) - - python_versions = supported_python_versions(lock["requires-python"]) - packages = {(p["name"], p.get("version"), str(p.get("source"))): p for p in lock["package"]} - problems: list[str] = [] - - # 1. `tool.uv.environments` must still admit aarch64 -- if it doesn't, there is no aarch64 resolution - # to inspect and the per-extra checks below would report a confusing pile of missing torch. - # An empty `supported-markers` means uv was given no restriction, which is fine. - markers = lock.get("supported-markers", []) - if markers and not any(matches(m, env_for(v)) for m in markers for v in python_versions): - print("uv.lock excludes linux/aarch64 entirely. supported-markers:") - for m in markers: - print(f" {m}") - print("\nWiden `tool.uv.environments` in pyproject.toml to include") - print("(sys_platform == 'linux' and platform_machine == 'aarch64'), then re-run `uv lock`.") - return 1 - - # 2. Every conflicting torch extra must resolve torch and torchvision on aarch64, from a registry that - # actually has aarch64 wheels for them. - root_name = "invokeai" - root = next((p for p in lock["package"] if p["name"] == root_name), None) - if root is None: - print(f"no {root_name!r} package in {lock_path} -- has the project been renamed?") - return 1 - extras = sorted({e["extra"] for group in lock.get("conflicts", []) for e in group if e["package"] == root_name}) - if not extras: - print("no conflicting extras found in uv.lock -- has the cpu/cuda/rocm extra layout changed?") - return 1 - - # uv encodes conflicting extras into markers as `extra---`. That is uv's - # internal spelling, so confirm it is still what the lockfile uses -- otherwise the marker evaluation - # below would silently match nothing and we would report a torch problem that isn't real. (A broken - # extra can legitimately drop the token from its own markers, so look at the whole lockfile.) - keys = {extra: f"extra-{len(root_name)}-{root_name}-{extra}" for extra in extras} - unknown = sorted(k for k in keys.values() if k not in text) - if unknown: - print(f"uv.lock never mentions {', '.join(repr(k) for k in unknown)}.") - print("uv's encoding of conflicting extras has changed; update scripts/check_aarch64_lock.py.") - return 1 - - for extra in extras: - deps = root.get("optional-dependencies", {}).get(extra, []) - key = keys[extra] - for name in REQUIRED: - for python_version in python_versions: - env = env_for(python_version, extra=key) - resolved = [d for d in deps if d["name"] == name and matches(d.get("marker"), env)] - if not resolved: - problems.append(f" [{extra}] py{python_version}: no {name} resolves on linux/aarch64") - continue - # uv shouldn't emit overlapping markers, but if it ever does, check every match. - for dep in resolved: - if dep.get("version") is not None: - package = packages.get((name, dep["version"], str(dep.get("source")))) - else: - # uv omits version/source from a dependency entry when the package resolves to a - # single version across the whole lockfile. - candidates = [p for p in lock["package"] if p["name"] == name] - package = candidates[0] if len(candidates) == 1 else None - version = dep.get("version") or (package or {}).get("version") - source = dep.get("source") or (package or {}).get("source") or {} - registry = source.get("registry", "?") - if package is None: - problems.append(f" [{extra}] py{python_version}: {name}=={version} not in uv.lock") - elif not has_aarch64_wheel(package, python_version): - problems.append( - f" [{extra}] py{python_version}: {name}=={version} from {registry}" - " has no linux/aarch64 wheel" - ) - else: - print(f" [{extra}] py{python_version}: {name}=={version} from {registry}") - - if problems: - print("\nuv.lock does not give linux/aarch64 an installable torch/torchvision:") - print("\n".join(problems)) - print("\nCheck `tool.uv.environments`, the `[tool.uv.sources]` aarch64 markers and the aarch64") - print("fallback pins in the cpu/cuda/rocm extras in pyproject.toml, then re-run `uv lock`.") - return 1 - - print("\naarch64 OK") - return 0 - - -if __name__ == "__main__": - sys.exit(main()) diff --git a/scripts/check_platform_locks.py b/scripts/check_platform_locks.py new file mode 100644 index 00000000000..3265ea498ed --- /dev/null +++ b/scripts/check_platform_locks.py @@ -0,0 +1,313 @@ +"""Assert that `uv.lock` gives the platforms no test job installs on an installable torch stack. + +Two platforms are covered: + +- linux/aarch64. Three separate mechanisms in `pyproject.toml` conspire to make torch resolve from PyPI + there instead of from the PyTorch WHL indexes (which ship no aarch64 torchvision wheel): + `tool.uv.environments`, the `[tool.uv.sources]` platform markers, and the aarch64 fallback pins in each + torch extra. Break the sources markers and `uv lock` fails loudly, but break either of the other two and + the lockfile simply stops mentioning torch on aarch64 while `uv lock --locked` stays green -- which is how + aarch64 support was silently lost once before, when a ROCm bump narrowed `tool.uv.environments`. +- win32/ARM64 (Windows on ARM, NVIDIA RTX Spark). torch and torchvision must come from NVIDIA's + out-of-tree index with `win_arm64` wheels whichever extra is selected, and -- because most of the + platform's wheel gaps are papered over with version forks in `pyproject.toml` rather than enforced by + uv -- every package in the platform's dependency closure must ship a `win_arm64` (or pure) wheel. uv's + `required-environments` only enforces that for packages without an sdist; a package with an sdist and + no ARM64 wheel (cryptography 49, say) locks fine and fails at install time on the user's machine. + +So assert against the lockfile itself, which is the artifact users actually install from. + +Usage: check_platform_locks.py [path/to/uv.lock] [--platform {aarch64,win_arm64}] (needs `packaging`) +""" + +import argparse +import sys +import tomllib +from dataclasses import dataclass, field +from pathlib import Path +from typing import Any, Callable +from urllib.parse import unquote + +from packaging.markers import Marker +from packaging.specifiers import SpecifierSet +from packaging.tags import Tag +from packaging.utils import InvalidWheelFilename, parse_wheel_filename + +ROOT_NAME = "invokeai" +REQUIRED = ("torch", "torchvision") +NVIDIA_WIN_ARM64_REGISTRY = "https://pypi.nvidia.com/nvtorch_oot/" + + +@dataclass(frozen=True) +class Platform: + name: str + description: str + # Interpreter facts for evaluating the lockfile's environment markers; `python_version` is added per check. + env: dict[str, str] + # A wheel tag this platform can install (pure `any` wheels are accepted separately). + accepts_tag: Callable[[Tag], bool] + # Restrict the Python versions checked (None: every version admitted by `requires-python`). + python_versions: tuple[str, ...] | None = None + # torch/torchvision must resolve from this registry (None: any registry with acceptable wheels). + torch_registry: str | None = None + # Also check torch/torchvision with no extra selected, and walk the whole closure for wheel availability. + check_closure: bool = False + # Packages allowed to be sdist-only in the closure (pure Python, built without a compiler). + sdist_allowlist: frozenset[str] = field(default_factory=frozenset) + + +PLATFORMS: dict[str, Platform] = { + "aarch64": Platform( + name="linux/aarch64", + description="torch and torchvision from a registry with aarch64 wheels, per extra", + env={ + "sys_platform": "linux", + "platform_machine": "aarch64", + "platform_system": "Linux", + "os_name": "posix", + "implementation_name": "cpython", + "platform_python_implementation": "CPython", + }, + # Only linux aarch64 counts -- macOS arm64 wheels (`macosx_11_0_arm64`) are a different platform. + accepts_tag=lambda tag: "aarch64" in tag.platform, + ), + "win_arm64": Platform( + name="win32/ARM64", + description="torch and torchvision from NVIDIA's index, and win_arm64 wheels for the whole closure", + env={ + "sys_platform": "win32", + "platform_machine": "ARM64", + "platform_system": "Windows", + "os_name": "nt", + "implementation_name": "cpython", + "platform_python_implementation": "CPython", + }, + accepts_tag=lambda tag: tag.platform == "win_arm64", + # The only supported interpreter there: PyWavelets and PyYAML ship win_arm64 wheels for 3.12+ only. + python_versions=("3.12",), + torch_registry=NVIDIA_WIN_ARM64_REGISTRY, + check_closure=True, + # imageio-ffmpeg's wheels exist only to carry an ffmpeg binary; the sdist builds a pure wheel and + # the app uses the ffmpeg on PATH. + sdist_allowlist=frozenset({"imageio-ffmpeg"}), + ), +} + + +def env_for(platform: Platform, python_version: str, extra: str | None = None) -> dict[str, str]: + env = {**platform.env, "python_version": python_version, "python_full_version": f"{python_version}.0"} + # `extra` must be defined for the `extra != '...'` clauses uv writes; "" means no extra selected. + env["extra"] = extra if extra is not None else "" + return env + + +def matches(marker: str | None, env: dict[str, str]) -> bool: + return marker is None or Marker(marker).evaluate(env) + + +def supported_python_versions(requires_python: str) -> list[str]: + """The `3.x` versions admitted by the lockfile's `requires-python` (e.g. ">=3.11, <3.13" -> 3.11, 3.12).""" + spec = SpecifierSet(requires_python) + return [f"3.{minor}" for minor in range(8, 30) if spec.contains(f"3.{minor}.0")] + + +def wheel_filenames(package: dict[str, Any]) -> list[str]: + names = [] + for wheel in package.get("wheels", []): + # The PyTorch WHL indexes percent-encode the `+` of local versions in wheel URLs (`torch-2.7.1%2Bcpu-...`). + filename = unquote(wheel.get("url", wheel.get("path", "")).rsplit("/", 1)[-1]) + if filename.endswith(".whl"): + names.append(filename) + return names + + +def has_wheel(package: dict[str, Any], python_version: str, platform: Platform, allow_pure: bool) -> bool: + """Whether `package` ships a wheel CPython `python_version` can install on `platform`.""" + minor = int(python_version.split(".")[1]) + accepted = {f"cp3{minor}", "py3", f"py3{minor}"} + for filename in wheel_filenames(package): + try: + tags = parse_wheel_filename(filename)[3] + except InvalidWheelFilename as e: + # The exception message names the offending filename. + sys.exit(f"unparseable wheel filename in uv.lock ({e}) -- update scripts/check_platform_locks.py") + for tag in tags: + if not (platform.accepts_tag(tag) or (allow_pure and tag.platform == "any")): + continue + if tag.interpreter in accepted: + return True + # An abi3 wheel built for an older CPython also works on this one. + if tag.abi == "abi3" and tag.interpreter.startswith("cp3") and tag.interpreter[3:].isdigit(): + if int(tag.interpreter[3:]) <= minor: + return True + return False + + +class Lock: + def __init__(self, path: Path) -> None: + self.text = path.read_text() + self.data = tomllib.loads(self.text) + self.packages = {(p["name"], p.get("version"), str(p.get("source"))): p for p in self.data["package"]} + self.by_name: dict[str, list[dict[str, Any]]] = {} + for p in self.data["package"]: + self.by_name.setdefault(p["name"], []).append(p) + + def resolve(self, dep: dict[str, Any]) -> list[dict[str, Any]]: + """The lock package entries a dependency edge refers to.""" + if dep.get("version") is not None: + package = self.packages.get((dep["name"], dep["version"], str(dep.get("source")))) + return [package] if package is not None else [] + # uv omits version/source from a dependency entry when the package resolves to a single version + # across the whole lockfile. + candidates = self.by_name.get(dep["name"], []) + return candidates if len(candidates) == 1 else [] + + +def check_torch( + lock: Lock, root: dict[str, Any], platform: Platform, python_versions: list[str], keys: dict[str, str] +) -> list[str]: + """torch/torchvision resolve, per extra (and with no extra where the platform asks), from acceptable wheels.""" + problems: list[str] = [] + universes: list[tuple[str, str | None, list[dict[str, Any]]]] = [ + (extra, keys[extra], root.get("optional-dependencies", {}).get(extra, [])) for extra in keys + ] + if platform.check_closure: + universes.insert(0, ("no extra", None, root.get("dependencies", []))) + for label, key, deps in universes: + for name in REQUIRED: + for python_version in python_versions: + env = env_for(platform, python_version, extra=key) + resolved = [d for d in deps if d["name"] == name and matches(d.get("marker"), env)] + if not resolved: + problems.append(f" [{label}] py{python_version}: no {name} resolves on {platform.name}") + continue + # uv shouldn't emit overlapping markers, but if it ever does, check every match. + for dep in resolved: + packages = lock.resolve(dep) + version = dep.get("version") or (packages[0].get("version") if packages else "?") + if not packages: + problems.append(f" [{label}] py{python_version}: {name}=={version} not in uv.lock") + continue + for package in packages: + registry = (package.get("source") or {}).get("registry", "?") + where = f"{name}=={package.get('version')} from {registry}" + if platform.torch_registry is not None and registry != platform.torch_registry: + problems.append( + f" [{label}] py{python_version}: {where} -- expected {platform.torch_registry}" + ) + elif not has_wheel(package, python_version, platform, allow_pure=False): + problems.append(f" [{label}] py{python_version}: {where} has no {platform.name} wheel") + else: + print(f" [{label}] py{python_version}: {where}") + return problems + + +def walk_closure( + lock: Lock, edges: list[dict[str, Any]], env: dict[str, str] +) -> dict[tuple[str, Any, str], dict[str, Any]]: + """Every lock package reachable from `edges` in environment `env`, keyed by (name, version, source).""" + seen: dict[tuple[str, Any, str], dict[str, Any]] = {} + pending = list(edges) + while pending: + dep = pending.pop() + if not matches(dep.get("marker"), env): + continue + for package in lock.resolve(dep): + ident = (package["name"], package.get("version"), str(package.get("source"))) + if ident in seen: + continue + seen[ident] = package + pending += package.get("dependencies", []) + for extra in dep.get("extra", []): + pending += package.get("optional-dependencies", {}).get(extra, []) + return seen + + +def check_closure( + lock: Lock, root: dict[str, Any], platform: Platform, python_version: str, keys: dict[str, str] +) -> list[str]: + """Every package reachable on the platform (any single extra, or none) ships an installable wheel.""" + problems: list[str] = [] + base = root.get("dependencies", []) + universes: list[tuple[str, str | None, list[dict[str, Any]]]] = [("no extra", None, base)] + universes += [(extra, keys[extra], base + root["optional-dependencies"][extra]) for extra in keys] + for label, key, deps in universes: + seen = walk_closure(lock, deps, env_for(platform, python_version, extra=key)) + missing = [ + f"{name}=={version} from {(p.get('source') or {}).get('registry', '?')}" + for (name, version, _), p in sorted(seen.items()) + if name not in platform.sdist_allowlist and not has_wheel(p, python_version, platform, allow_pure=True) + ] + problems += [f" [{label}] py{python_version}: {m} has no {platform.name} wheel" for m in missing] + print(f" [{label}] py{python_version}: {len(seen)} packages in the closure, {len(missing)} without a wheel") + return problems + + +def check_platform(lock: Lock, key: str) -> int: + platform = PLATFORMS[key] + print(f"{platform.name}: {platform.description}") + python_versions = list(platform.python_versions or supported_python_versions(lock.data["requires-python"])) + + # 1. `tool.uv.environments` must still admit the platform -- if it doesn't, there is no resolution to + # inspect and the per-extra checks below would report a confusing pile of missing torch. + # An empty `supported-markers` means uv was given no restriction, which is fine. + markers = lock.data.get("supported-markers", []) + if markers and not any(matches(m, env_for(platform, v)) for m in markers for v in python_versions): + print(f"uv.lock excludes {platform.name} entirely. supported-markers:") + for m in markers: + print(f" {m}") + print("\nWiden `tool.uv.environments` in pyproject.toml to include the platform, then re-run `uv lock`.") + return 1 + + root = next((p for p in lock.data["package"] if p["name"] == ROOT_NAME), None) + if root is None: + print(f"no {ROOT_NAME!r} package in uv.lock -- has the project been renamed?") + return 1 + extras = sorted( + {e["extra"] for group in lock.data.get("conflicts", []) for e in group if e["package"] == ROOT_NAME} + ) + if not extras: + print("no conflicting extras found in uv.lock -- has the cpu/cuda/rocm extra layout changed?") + return 1 + + # uv encodes conflicting extras into markers as `extra---`. That is uv's + # internal spelling, so confirm it is still what the lockfile uses -- otherwise the marker evaluation + # below would silently match nothing and we would report a torch problem that isn't real. (A broken + # extra can legitimately drop the token from its own markers, so look at the whole lockfile.) + keys = {extra: f"extra-{len(ROOT_NAME)}-{ROOT_NAME}-{extra}" for extra in extras} + unknown = sorted(k for k in keys.values() if k not in lock.text) + if unknown: + print(f"uv.lock never mentions {', '.join(repr(k) for k in unknown)}.") + print("uv's encoding of conflicting extras has changed; update scripts/check_platform_locks.py.") + return 1 + + problems = check_torch(lock, root, platform, python_versions, keys) + if platform.check_closure: + for python_version in python_versions: + problems += check_closure(lock, root, platform, python_version, keys) + + if problems: + print(f"\nuv.lock does not give {platform.name} an installable environment:") + print("\n".join(problems)) + print("\nCheck `tool.uv.environments`, the `[tool.uv.sources]` platform markers and the platform") + print("fallback pins in pyproject.toml, then re-run `uv lock`.") + return 1 + + print(f"\n{platform.name} OK\n") + return 0 + + +def main(argv: list[str] | None = None) -> int: + parser = argparse.ArgumentParser(description="Check uv.lock for platforms no test job installs on.") + parser.add_argument("lock", nargs="?", default="uv.lock", type=Path) + parser.add_argument("--platform", choices=sorted(PLATFORMS), action="append", help="default: all") + args = parser.parse_args(argv) + if not args.lock.is_file(): + print(f"File not found: {args.lock}", file=sys.stderr) + return 1 + lock = Lock(args.lock) + return max(check_platform(lock, key) for key in (args.platform or sorted(PLATFORMS))) + + +if __name__ == "__main__": + sys.exit(main()) diff --git a/tests/test_check_platform_locks.py b/tests/test_check_platform_locks.py new file mode 100644 index 00000000000..941f1720213 --- /dev/null +++ b/tests/test_check_platform_locks.py @@ -0,0 +1,164 @@ +"""scripts/check_platform_locks.py must reject the lockfile shapes that `uv lock --locked` accepts. + +The fixtures are minimal synthetic lockfiles: one conflicting extra (`cuda`), the two torch packages and a +handful of closure packages, written in uv's real encoding (per-extra `extra-8-invokeai-` marker +tokens, percent-encoded `+` in WHL-index URLs). The repo lockfile itself is checked last, as CI does. +""" + +import importlib.util +import sys +from pathlib import Path + +import pytest + +REPO_ROOT = Path(__file__).resolve().parent.parent +SCRIPT = REPO_ROOT / "scripts" / "check_platform_locks.py" + +spec = importlib.util.spec_from_file_location("check_platform_locks", SCRIPT) +assert spec is not None and spec.loader is not None +check_platform_locks = importlib.util.module_from_spec(spec) +sys.modules[spec.name] = check_platform_locks +spec.loader.exec_module(check_platform_locks) + +NVIDIA = check_platform_locks.NVIDIA_WIN_ARM64_REGISTRY +PYPI = "https://pypi.org/simple" +CU128 = "https://download.pytorch.org/whl/cu128" +WIN_ARM = "platform_machine == 'ARM64' and sys_platform == 'win32'" +NOT_WIN_ARM = "(platform_machine != 'ARM64' or sys_platform != 'win32')" +AARCH64 = "platform_machine == 'aarch64' and sys_platform == 'linux'" +NOT_AARCH64 = "(platform_machine != 'aarch64' or sys_platform != 'linux')" +CUDA = "extra == 'extra-8-invokeai-cuda'" +NO_CUDA = "extra != 'extra-8-invokeai-cuda' and extra != 'extra-8-invokeai-cpu'" + + +def wheel(name: str, version: str, tag: str, registry: str) -> str: + return f'{{ url = "{registry}/{name}-{version.replace("+", "%2B")}-{tag}.whl", hash = "sha256:0" }}' + + +def package(name: str, version: str, registry: str, wheels: list[str], deps: list[str] = ()) -> str: + dep_lines = "\n".join(f" {d}," for d in deps) + return f''' +[[package]] +name = "{name}" +version = "{version}" +source = {{ registry = "{registry}" }} +dependencies = [ +{dep_lines} +] +wheels = [ +{chr(10).join(" " + w + "," for w in wheels)} +] +''' + + +def dep(name: str, version: str | None = None, registry: str | None = None, marker: str | None = None) -> str: + parts = [f'name = "{name}"'] + if version: + parts.append(f'version = "{version}"') + if registry: + parts.append(f'source = {{ registry = "{registry}" }}') + if marker: + parts.append(f'marker = "{marker}"') + return "{ " + ", ".join(parts) + " }" + + +def make_lock( + *, + win_arm_torch_registry: str = NVIDIA, + win_arm_torch_tag: str = "cp312-cp312-win_arm64", + aarch64_torchvision_tag: str = "cp312-cp312-manylinux_2_28_aarch64", + closure_tag: str = "cp312-abi3-win_arm64", +) -> str: + base_torch = [ + dep("torch", "2.7.1", PYPI, f"({AARCH64}) or ({NOT_WIN_ARM} and {NO_CUDA})"), + dep("torch", "2.7.1+cu128", CU128, f"{NOT_AARCH64} and {NOT_WIN_ARM} and {CUDA}"), + dep("torch", "2.14.0+cu134", win_arm_torch_registry, WIN_ARM), + dep("torchvision", "0.22.1", PYPI, f"({AARCH64}) or ({NOT_WIN_ARM} and {NO_CUDA})"), + dep("torchvision", "0.22.1+cu128", CU128, f"{NOT_AARCH64} and {NOT_WIN_ARM} and {CUDA}"), + dep("torchvision", "0.29.0+cu134", win_arm_torch_registry, WIN_ARM), + ] + return f""" +version = 1 +requires-python = ">=3.12, <3.13" +supported-markers = [ + "sys_platform == 'win32' or sys_platform == 'darwin' or (sys_platform == 'linux' and (platform_machine == 'x86_64' or platform_machine == 'aarch64'))", +] +conflicts = [[ + {{ package = "invokeai", extra = "cuda" }}, + {{ package = "invokeai", extra = "cpu" }}, +]] + +[[package]] +name = "invokeai" +source = {{ editable = "." }} +dependencies = [ + {dep("numpy")}, + {dep("cryptography", "46.0.3", PYPI, WIN_ARM)}, + {dep("cryptography", "49.0.0", PYPI, NOT_WIN_ARM)}, +{chr(10).join(" " + d + "," for d in base_torch)} +] + +[package.optional-dependencies] +cuda = [ +{chr(10).join(" " + d + "," for d in base_torch)} +] +cpu = [ +{chr(10).join(" " + d + "," for d in base_torch)} +] +{package("numpy", "2.3.5", PYPI, [wheel("numpy", "2.3.5", "cp312-cp312-win_arm64", PYPI), wheel("numpy", "2.3.5", "cp312-cp312-manylinux_2_28_aarch64", PYPI)])} +{package("cryptography", "46.0.3", PYPI, [wheel("cryptography", "46.0.3", closure_tag, PYPI)])} +{package("cryptography", "49.0.0", PYPI, [wheel("cryptography", "49.0.0", "cp312-abi3-win_amd64", PYPI)])} +{package("torch", "2.7.1", PYPI, [wheel("torch", "2.7.1", "cp312-cp312-manylinux_2_28_aarch64", PYPI)])} +{package("torch", "2.7.1+cu128", CU128, [wheel("torch", "2.7.1+cu128", "cp312-cp312-win_amd64", CU128)])} +{package("torch", "2.14.0+cu134", win_arm_torch_registry, [wheel("torch", "2.14.0+cu134", win_arm_torch_tag, win_arm_torch_registry)])} +{package("torchvision", "0.22.1", PYPI, [wheel("torchvision", "0.22.1", aarch64_torchvision_tag, PYPI)])} +{package("torchvision", "0.22.1+cu128", CU128, [wheel("torchvision", "0.22.1+cu128", "cp312-cp312-win_amd64", CU128)])} +{package("torchvision", "0.29.0+cu134", win_arm_torch_registry, [wheel("torchvision", "0.29.0+cu134", win_arm_torch_tag, win_arm_torch_registry)])} +""" + + +def run(tmp_path: Path, text: str, *platforms: str) -> int: + lock = tmp_path / "uv.lock" + lock.write_text(text) + args = [str(lock)] + for platform in platforms: + args += ["--platform", platform] + return check_platform_locks.main(args) + + +def test_well_formed_lock_passes_both_platforms(tmp_path: Path): + assert run(tmp_path, make_lock()) == 0 + + +def test_win_arm64_torch_from_the_wrong_registry_fails(tmp_path: Path): + """The NVIDIA index is the only source of a win_arm64 CUDA torch; a PyPI-sourced torch means the + sources markers were lost even if a wheel happened to match.""" + assert run(tmp_path, make_lock(win_arm_torch_registry=PYPI), "win_arm64") == 1 + + +def test_win_arm64_torch_without_arm64_wheel_fails(tmp_path: Path): + assert run(tmp_path, make_lock(win_arm_torch_tag="cp312-cp312-win_amd64"), "win_arm64") == 1 + + +def test_win_arm64_closure_package_without_arm64_wheel_fails(tmp_path: Path): + """uv locks a package that has an sdist even when it has no ARM64 wheel; the closure walk is what + catches it.""" + assert run(tmp_path, make_lock(closure_tag="cp312-abi3-win_amd64"), "win_arm64") == 1 + # The same lock is still fine for aarch64, whose closure is not checked. + assert run(tmp_path, make_lock(closure_tag="cp312-abi3-win_amd64"), "aarch64") == 0 + + +def test_aarch64_torchvision_without_aarch64_wheel_fails(tmp_path: Path): + assert run(tmp_path, make_lock(aarch64_torchvision_tag="cp312-cp312-manylinux_2_28_x86_64"), "aarch64") == 1 + + +def test_lock_excluding_a_platform_fails(tmp_path: Path): + text = make_lock().replace( + "(platform_machine == 'x86_64' or platform_machine == 'aarch64')", "platform_machine == 'x86_64'" + ) + assert run(tmp_path, text, "aarch64") == 1 + + +@pytest.mark.parametrize("platform", ["aarch64", "win_arm64"]) +def test_repo_lockfile_passes(platform: str): + assert check_platform_locks.main([str(REPO_ROOT / "uv.lock"), "--platform", platform]) == 0 From e0e414ead33b76ac4e6b06d1b98035eaaacccadc Mon Sep 17 00:00:00 2001 From: Lincoln Stein Date: Mon, 14 Sep 2026 22:28:01 -0400 Subject: [PATCH 05/26] build: declare Windows ARM64 dependencies and document the platform pyproject forks the packages whose Windows ARM64 wheels start at newer versions, routes torch to NVIDIA's out-of-tree index and OpenCV, blake3 and tiktoken to the release-hosted wheel page on that platform, and enforces ARM64 wheel availability with uv's required-environments. Docs cover the native ARM64 Python request, the install options and the feature differences. Co-Authored-By: Claude Fable 5.1 Claude-Session: https://claude.ai/code/session_01NiaFTnYH9q9468Naf4PV3X --- .../content/docs/configuration/patchmatch.mdx | 2 +- .../development/Setup/dev-environment.mdx | 4 + docs/src/content/docs/start-here/manual.mdx | 22 +++ .../docs/start-here/system-requirements.mdx | 22 +++ docs/src/content/docs/troubleshooting/faq.mdx | 4 + pyproject.toml | 157 +++++++++++++----- scripts/check_pins.py | 3 + 7 files changed, 172 insertions(+), 42 deletions(-) diff --git a/docs/src/content/docs/configuration/patchmatch.mdx b/docs/src/content/docs/configuration/patchmatch.mdx index a91e1a8f8b7..451d3be8237 100644 --- a/docs/src/content/docs/configuration/patchmatch.mdx +++ b/docs/src/content/docs/configuration/patchmatch.mdx @@ -29,7 +29,7 @@ Unfortunately, installation can be somewhat challenging, as it requires some thi - You're in luck! On Windows platforms PyPatchMatch will install automatically on Windows systems with no extra intervention. + You're in luck! On Windows x64 PyPatchMatch will install automatically with no extra intervention. There is no prebuilt library for Windows on ARM64, where the `patchmatch` infill method is unavailable. You need to have opencv installed so that pypatchmatch can be built: diff --git a/docs/src/content/docs/development/Setup/dev-environment.mdx b/docs/src/content/docs/development/Setup/dev-environment.mdx index c4349961117..6eb85db1912 100644 --- a/docs/src/content/docs/development/Setup/dev-environment.mdx +++ b/docs/src/content/docs/development/Setup/dev-environment.mdx @@ -67,6 +67,10 @@ import SystemRequirementsLink from '@components/SystemRequirmentsLink.astro' :::note[Linux ARM64 / aarch64] On Linux ARM64 devices (e.g. Raspberry Pi 5), use `--extra cpu` and omit `--extra xformers`. torch and torchvision are installed from PyPI (CPU-only wheels) — CUDA and ROCm acceleration are not available on this platform. ::: + + :::note[Windows on ARM64 (RTX Spark)] + Use `--python cpython-3.12-windows-aarch64-none` (uv otherwise installs an x86_64 interpreter) and omit `--extra xformers`. Whichever GPU extra you pass, the lockfile installs NVIDIA's torch 2.14.0+cu134 build and Invoke's self-built OpenCV, blake3 and tiktoken wheels; no `--index` options are needed because `uv sync` reads them from `pyproject.toml`. Put an `ffmpeg` on `PATH` for the video tests. + ::: 6. At this point, you should have Invoke installed, a venv set up and activated, and the server running. But you will see a warning in the terminal that no UI was found. If you go to the URL for the server, you won't get a UI. This is because the UI build is not distributed with the source code. You need to build it manually. End the running server instance. diff --git a/docs/src/content/docs/start-here/manual.mdx b/docs/src/content/docs/start-here/manual.mdx index 7b8f6266bea..2234ba7b474 100644 --- a/docs/src/content/docs/start-here/manual.mdx +++ b/docs/src/content/docs/start-here/manual.mdx @@ -59,6 +59,16 @@ The following commands vary depending on the version of Invoke being installed a This command creates a portable virtual environment at `.venv` complete with a portable python 3.12. It doesn't matter if your system has no python installed, or has a different version - `uv` will handle everything. + :::note[Windows on ARM64 (RTX Spark)] + `uv` installs an x86_64 python on ARM64 Windows unless asked for the native build, and an x86_64 python cannot load the ARM64 torch. Request the native interpreter explicitly: + + ```sh + uv venv --relocatable --prompt invoke --python cpython-3.12-windows-aarch64-none --python-preference only-managed .venv + ``` + + Use the same `--python cpython-3.12-windows-aarch64-none` in place of `--python 3.12` in the install commands below. + ::: + 4. Activate the virtual environment: @@ -111,6 +121,13 @@ The following commands vary depending on the version of Invoke being installed a --torch-backend=xpu ``` + + Do not use a torch backend. torch comes from NVIDIA's own index, and three packages that have no ARM64 build on PyPI (OpenCV, blake3, tiktoken) come from wheels Invoke publishes. Use these two options instead of `--torch-backend`: + ```sh + --index https://pypi.nvidia.com/nvtorch_oot/ --find-links https://github.com/invoke-ai/InvokeAI-7/releases/download/win-arm64-wheels-v1/index.html + ``` + With or without an NVIDIA GPU: this is the only torch build for Windows ARM64. See the [system requirements](../system-requirements#windows-on-arm64-rtx-spark) for the platform's feature differences. + Do not use a torch backend. @@ -172,6 +189,11 @@ The following commands vary depending on the version of Invoke being installed a uv pip install == --python 3.12 --python-preference only-managed --torch-backend= --force-reinstall ``` + + ```sh + uv pip install == --python cpython-3.12-windows-aarch64-none --python-preference only-managed --index https://pypi.nvidia.com/nvtorch_oot/ --find-links https://github.com/invoke-ai/InvokeAI-7/releases/download/win-arm64-wheels-v1/index.html --force-reinstall + ``` + diff --git a/docs/src/content/docs/start-here/system-requirements.mdx b/docs/src/content/docs/start-here/system-requirements.mdx index 2488357c939..a8e797dcbd0 100644 --- a/docs/src/content/docs/start-here/system-requirements.mdx +++ b/docs/src/content/docs/start-here/system-requirements.mdx @@ -19,6 +19,7 @@ The requirements below are rough guidelines for best performance. GPUs with less - AMD GPUs are supported on Linux only. The VRAM requirements are the same as Nvidia GPUs. - Intel Arc GPUs (Alchemist, Battlemage and newer) are supported on Windows and Linux `x86_64`. The VRAM requirements are the same as Nvidia GPUs. - Linux ARM64 (`aarch64`) devices — e.g. Raspberry Pi 5, other SBCs, ARM servers — are supported in CPU-only mode. Local generation is slow without a GPU, but API-backed models (e.g. GPT Image, Gemini) work well. +- Windows on ARM64 with an NVIDIA RTX Spark GPU is supported as a **Developer Preview**, tracking NVIDIA's own preview status for the platform. See [Windows on ARM64](#windows-on-arm64-rtx-spark) below for the requirements and the feature differences. ### Windows/Linux @@ -116,6 +117,26 @@ Confirm that `nvidia-smi` displays driver and CUDA versions after installation. An alternative to installing CUDA locally is to use the [Nvidia Container Runtime] to run the application in a container. +#### Windows on ARM64 (RTX Spark) + +Requirements: + +- NVIDIA's RTX Spark Developer Driver, 616.41 or later, and Windows 11 ARM64. NVIDIA's [RTX Spark developer page] has the driver and the porting guide; the CUDA Toolkit itself is not needed, the torch wheel bundles its CUDA 13.4 libraries. +- Python **3.12**, as a native ARM64 build. An x86_64 Python runs under emulation but cannot load the ARM64 torch wheel. `uv` installs an x86_64 interpreter on ARM64 Windows unless asked for the native one: request `cpython-3.12-windows-aarch64-none` (see the [manual install](../manual) guide). +- torch comes from NVIDIA's index (`https://pypi.nvidia.com/nvtorch_oot/`), not from PyTorch's, and the torch wheel is 1.85 GB. The launcher and `uv sync` handle this automatically; a manual `uv pip install` needs the `--index` and `--find-links` options from the manual install guide. +- An `ffmpeg` on `PATH` (or the `IMAGEIO_FFMPEG_EXE` environment variable) for the video nodes and video thumbnails. On other platforms the `imageio-ffmpeg` package bundles one; it has no ARM64 build. + +Differences from Windows x64, all because the underlying package has no Windows ARM64 build: + +- The MediaPipe face detection preprocessor and the Face Tools nodes (Face Identifier, Face Mask, Face Off) report an error when run. +- The image map projects with PCA instead of UMAP, so it is less structured. +- `xformers` is not available; torch's own attention kernels are used. +- `.woff2` fonts are skipped by the font list; `.ttf`, `.otf` and `.woff` work. +- PyPatchMatch does not install; the `patchmatch` infill method is hidden. +- ONNX models (the DW OpenPose preprocessor) run on the CPU. + +GPU generation on RTX Spark has not yet been validated by the Invoke team on hardware; installation and the CPU code paths are exercised in CI on Windows ARM64 runners. + #### Windows - Nvidia cuDNN DLLs An out-of-date cuDNN library can greatly hamper performance on 30-series and 40-series cards. Check with the community on discord to compare your `it/s` if you think you may need this fix. @@ -181,6 +202,7 @@ An alternative to installing ROCm locally is to use a [ROCm docker container] to [using `uv` to manage your python installation]: https://docs.astral.sh/uv/concepts/python-versions/#installing-a-python-version [Microsoft Visual C++ Redistributable]: https://learn.microsoft.com/en-us/cpp/windows/latest-supported-vc-redist?view=msvc-170 [Invoke Launcher]: ../installation +[RTX Spark developer page]: https://developer.nvidia.com/topics/ai/local-ai/port-apps [CUDA Toolkit Downloads]: https://developer.nvidia.com/cuda-downloads [Cuda Docs]: https://developer.nvidia.com/cudnn [cuDNN support matrix]: https://docs.nvidia.com/deeplearning/cudnn/support-matrix/index.html diff --git a/docs/src/content/docs/troubleshooting/faq.mdx b/docs/src/content/docs/troubleshooting/faq.mdx index 3c33845f995..19958980d5b 100644 --- a/docs/src/content/docs/troubleshooting/faq.mdx +++ b/docs/src/content/docs/troubleshooting/faq.mdx @@ -46,6 +46,10 @@ Follow the same steps to scan and import the missing models. This can be safely ignored. Invoke doesn't use Triton, but if you are on Linux and wish to dismiss the error, you can install Triton. +## No ffmpeg exe could be found (Windows on ARM64) + +Video nodes and video thumbnails use `ffmpeg`. On every other platform the `imageio-ffmpeg` package bundles the binary; it has no Windows ARM64 build, so on ARM64 Invoke uses the `ffmpeg` on your `PATH`. Install one (an x64 build runs under Windows' emulation) or point the `IMAGEIO_FFMPEG_EXE` environment variable at an `ffmpeg.exe`, then restart Invoke. + ## Unable to Copy on Firefox Firefox does not allow Invoke to directly access the clipboard by default. As a result, you may be unable to use certain copy functions. You can fix this by configuring Firefox to allow access to write to the clipboard: diff --git a/pyproject.toml b/pyproject.toml index 9601a11815b..968431851de 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -34,22 +34,35 @@ classifiers = [ dependencies = [ # Core generation dependencies, pinned for reproducible builds. "accelerate", - "bitsandbytes; sys_platform!='darwin'", + "bitsandbytes; sys_platform!='darwin' and (sys_platform != 'win32' or platform_machine != 'ARM64')", + "bitsandbytes>=0.50.1; sys_platform == 'win32' and platform_machine == 'ARM64'", # 0.50.1 added the CUDA 13.4 win_arm64 build for RTX Spark "compel>=2.4.0,<3", "diffusers[torch]==0.40.0", "gguf", - "mediapipe==0.10.14", # needed for "mediapipeface" controlnet model + # Not on Windows ARM64: the only win_arm64 mediapipe wheel (0.10.35+) is the Tasks-API build without the + # legacy `solutions` API the face preprocessor and Face Tools use; those nodes report the platform when run. + "mediapipe==0.10.14; (sys_platform != 'win32' or platform_machine != 'ARM64')", # needed for "mediapipeface" controlnet model "mistral-common>=1.5.4,<2", # canonical Tekken tokenizer for FLUX.2 [dev] Mistral encoder; the # loader depends on private surface (Tekkenizer internals) that # moves across majors, so cap below 2.x (validated against 1.11.6) - "numpy<2.0.0", - "onnx==1.16.1", - "onnxruntime==1.19.2", - "opencv-contrib-python", - "imageio[ffmpeg]>=2.37", # video encode (for Wan 2.2 T2V/I2V output); encode behavior (macro_block_size) is version-sensitive + "tiktoken==0.13.0; sys_platform == 'win32' and platform_machine == 'ARM64'", # mistral-common dependency; self-built win_arm64 wheel (see invoke-win-arm64-wheels) + "numpy<2.0.0; (sys_platform != 'win32' or platform_machine != 'ARM64')", + "numpy>=2.3,<2.4; sys_platform == 'win32' and platform_machine == 'ARM64'", # first win_arm64 wheels are 2.3; <2.4 is mistral-common's cap on 3.12 + "onnx==1.16.1; (sys_platform != 'win32' or platform_machine != 'ARM64')", + "onnx>=1.18,<2; sys_platform == 'win32' and platform_machine == 'ARM64'", + "onnxruntime==1.19.2; (sys_platform != 'win32' or platform_machine != 'ARM64')", + "onnxruntime>=1.24.2; sys_platform == 'win32' and platform_machine == 'ARM64'", # CPU execution provider only; no GPU build exists for win_arm64 + "opencv-contrib-python; (sys_platform != 'win32' or platform_machine != 'ARM64')", + "opencv-contrib-python==4.11.0.86; sys_platform == 'win32' and platform_machine == 'ARM64'", # self-built win_arm64 wheel (see invoke-win-arm64-wheels) + "imageio[ffmpeg]>=2.37; (sys_platform != 'win32' or platform_machine != 'ARM64')", # video encode (for Wan 2.2 T2V/I2V output); encode behavior (macro_block_size) is version-sensitive + # imageio-ffmpeg's wheels exist only to bundle an ffmpeg binary, and there is none for win_arm64: the sdist builds a + # pure wheel and get_ffmpeg_exe() falls back to the ffmpeg on PATH (or IMAGEIO_FFMPEG_EXE). + "imageio>=2.37; sys_platform == 'win32' and platform_machine == 'ARM64'", + "imageio-ffmpeg>=0.6; sys_platform == 'win32' and platform_machine == 'ARM64'", "psutil>=6", # video decode worker process-tree termination "safetensors", - "sentencepiece==0.2.0", # 0.2.1 coredumps windows when loading t5 tokenizer + "sentencepiece==0.2.0; (sys_platform != 'win32' or platform_machine != 'ARM64')", # 0.2.1 coredumps windows when loading t5 tokenizer + "sentencepiece>=0.2.2; sys_platform == 'win32' and platform_machine == 'ARM64'", # first win_arm64 wheels are 0.2.1; 0.2.2 is the pybind11 rewrite (T5 load covered by the CI lane) "spandrel", # Loosely pinned, will respect requirement of `diffusers[torch]`. Split by platform: linux/win allow # >=2.10 so the rocm extra can use torch 2.13.0+rocm7.2, while macOS stays on 2.7.x — newer macOS torch @@ -63,6 +76,10 @@ dependencies = [ # AOTriton 0.12b also triples flash-attention throughput vs the 2.10.0+rocm7.1 pin. "torch>=2.7.0,<3.0; sys_platform != 'darwin'", "torch>=2.7.0,<2.8.0; sys_platform == 'darwin'", + # Windows on ARM64 (NVIDIA RTX Spark): NVIDIA's out-of-tree build is the only torch with win_arm64 wheels, so it is + # pinned here for every extra (see `torch-nvidia-win-arm64` below). The wheel bundles its CUDA 13.4 libraries. + "torch==2.14.0+cu134; sys_platform == 'win32' and platform_machine == 'ARM64'", + "torchvision==0.29.0+cu134; sys_platform == 'win32' and platform_machine == 'ARM64'", "torchsde", # diffusers needs this for SDE solvers, but it is not an explicit dep of diffusers "torchvision", "transformers>=5.5,<5.6", @@ -84,27 +101,35 @@ dependencies = [ "pydantic-settings", "pydantic", "python-socketio", - "uvicorn[standard]", + "uvicorn[standard]; (sys_platform != 'win32' or platform_machine != 'ARM64')", + # [standard] pulls httptools, which has no win_arm64 wheel; uvicorn falls back to h11. websockets and watchfiles + # are the parts of [standard] the app uses. + "uvicorn; sys_platform == 'win32' and platform_machine == 'ARM64'", + "websockets; sys_platform == 'win32' and platform_machine == 'ARM64'", + "watchfiles; sys_platform == 'win32' and platform_machine == 'ARM64'", # Auxiliary dependencies, pinned only if necessary. - "blake3", - "bcrypt<4.0.0", + "blake3; (sys_platform != 'win32' or platform_machine != 'ARM64')", + "blake3==1.0.9; sys_platform == 'win32' and platform_machine == 'ARM64'", # self-built win_arm64 wheel (see invoke-win-arm64-wheels) + "bcrypt>=4.1", # used directly (not via passlib, which is incompatible with bcrypt>=4.1 -- the first release with win_arm64 wheels) "Deprecated", "dnspython", "dynamicprompts", "einops", "email-validator>=2.0.0", - "fonttools[woff]", - "passlib[bcrypt]>=1.7.4", + "fonttools[woff]; (sys_platform != 'win32' or platform_machine != 'ARM64')", + "fonttools; sys_platform == 'win32' and platform_machine == 'ARM64'", # [woff] needs brotli, which has no win_arm64 wheel; woff2 fonts are skipped there "picklescan", "pillow", "prompt-toolkit", "pypatchmatch", "python-jose[cryptography]>=3.3.0", + "cryptography>=46,<46.0.4; sys_platform == 'win32' and platform_machine == 'ARM64'", # the only cryptography releases with win_arm64 wheels "python-multipart", "requests", "semver~=3.0.1", - "PyWavelets", + "PyWavelets; (sys_platform != 'win32' or platform_machine != 'ARM64') or python_version < '3.12'", + "PyWavelets>=1.10; sys_platform == 'win32' and platform_machine == 'ARM64' and python_version >= '3.12'", # first win_arm64 wheels, 3.12+ only # Semantic image index (image map / semantic search). # numba is a umap-learn transitive, pinned to the range this stack has been @@ -112,41 +137,51 @@ dependencies = [ # 0.59 to at least 0.63 accepts the numpy 1.26.x resolved under numpy<2.0 # above (0.62 widened its floor back to >=1.22). Raise the ceiling once a # newer numba has been run against the image map, not just resolved. - "umap-learn~=0.5.7", + # Not on Windows ARM64: numba/llvmlite ship win_arm64 wheels for Python 3.14 only. The image map falls back to a + # PCA projection there (see image_index/projection.py). + "umap-learn~=0.5.7; (sys_platform != 'win32' or platform_machine != 'ARM64')", "scikit-learn~=1.5", - "numba>=0.59,<0.62", + "numba>=0.59,<0.62; (sys_platform != 'win32' or platform_machine != 'ARM64')", ] [project.optional-dependencies] "xformers" = [ # Core generation dependencies, pinned for reproducible builds. - "xformers>=0.0.28.post1; sys_platform!='darwin'", + "xformers>=0.0.28.post1; sys_platform!='darwin' and (sys_platform != 'win32' or platform_machine != 'ARM64')", # torch 2.4+cu carries its own triton dependency ] # The +cpu/+cu128/+rocm7.2 pins live on PyTorch's WHL indexes. torchvision has no # linux_aarch64 wheels there (torch does for +cpu/+cu128), so on linux_aarch64 these # pins are unsatisfiable and are gated behind a marker that excludes only that -# platform; every other platform (Windows, macOS, Linux x86_64) is unaffected. On +# platform; every other platform (Windows x64, macOS, Linux x86_64) is unaffected. +# Windows ARM64 is excluded the same way: the indexes have no win_arm64 wheels, and +# every extra falls back to NVIDIA's build there (see the base `torch` pin). On # linux_aarch64 the base `torch` / `torchvision` declarations resolve from PyPI # instead (CPU-only wheels — an aarch64 install requesting `cuda` gets CPU torch). # Since torch+cu128 aarch64 wheels DO exist on the index, real CUDA-on-aarch64 # (e.g. Grace/GH200) is feasible later with a torchvision-specific workaround. "cpu" = [ - "torch==2.7.1+cpu; sys_platform != 'linux' or platform_machine != 'aarch64'", - "torchvision==0.22.1+cpu; sys_platform != 'linux' or platform_machine != 'aarch64'", + "torch==2.7.1+cpu; (sys_platform != 'linux' or platform_machine != 'aarch64') and (sys_platform != 'win32' or platform_machine != 'ARM64')", + "torchvision==0.22.1+cpu; (sys_platform != 'linux' or platform_machine != 'aarch64') and (sys_platform != 'win32' or platform_machine != 'ARM64')", # linux_aarch64 fallback: same versions, resolved from PyPI. Without these # explicit entries the extra's conflict-universe would contain no torch at all # on aarch64 (uv partitions the base declarations into the no-extra universe). "torch==2.7.1; sys_platform == 'linux' and platform_machine == 'aarch64'", "torchvision==0.22.1; sys_platform == 'linux' and platform_machine == 'aarch64'", + # Windows ARM64 fallback, for the same reason: NVIDIA's build is the only torch there. + "torch==2.14.0+cu134; sys_platform == 'win32' and platform_machine == 'ARM64'", + "torchvision==0.29.0+cu134; sys_platform == 'win32' and platform_machine == 'ARM64'", ] "cuda" = [ - "torch==2.7.1+cu128; sys_platform != 'linux' or platform_machine != 'aarch64'", - "torchvision==0.22.1+cu128; sys_platform != 'linux' or platform_machine != 'aarch64'", + "torch==2.7.1+cu128; (sys_platform != 'linux' or platform_machine != 'aarch64') and (sys_platform != 'win32' or platform_machine != 'ARM64')", + "torchvision==0.22.1+cu128; (sys_platform != 'linux' or platform_machine != 'aarch64') and (sys_platform != 'win32' or platform_machine != 'ARM64')", # linux_aarch64 fallback, see note under "cpu" "torch==2.7.1; sys_platform == 'linux' and platform_machine == 'aarch64'", "torchvision==0.22.1; sys_platform == 'linux' and platform_machine == 'aarch64'", + # Windows ARM64 fallback, see note under "cpu" + "torch==2.14.0+cu134; sys_platform == 'win32' and platform_machine == 'ARM64'", + "torchvision==0.29.0+cu134; sys_platform == 'win32' and platform_machine == 'ARM64'", ] "rocm" = [ # ROCm wheels are x86_64-linux-only; gate by platform so macOS/win/linux-aarch64 resolution is unaffected. @@ -159,9 +194,13 @@ dependencies = [ # linux_aarch64 fallback, see note under "cpu" "torch==2.7.1; sys_platform == 'linux' and platform_machine == 'aarch64'", "torchvision==0.22.1; sys_platform == 'linux' and platform_machine == 'aarch64'", + # Windows ARM64 fallback, see note under "cpu" + "torch==2.14.0+cu134; sys_platform == 'win32' and platform_machine == 'ARM64'", + "torchvision==0.29.0+cu134; sys_platform == 'win32' and platform_machine == 'ARM64'", ] # Intel XPU (Arc / Battlemage) wheels are published only for linux-x86_64 and -# windows-amd64 on PyTorch's WHL index. Gate the +xpu pins to those platforms; the +# windows-amd64 on PyTorch's WHL index. Gate the +xpu pins to those platforms (the +# Windows clause excludes ARM64 explicitly, since `sys_platform` alone is 'win32' there too); the # Intel oneAPI runtime libs (intel-sycl-rt, etc.) come in automatically as deps of # torch+xpu. # Pinned ahead of the cpu/cuda extras (2.7.1), as the rocm extra already is. Intel's XPU @@ -169,11 +208,14 @@ dependencies = [ # combinations where it previously raised, and the bundled oneAPI runtime ships with the wheel # (intel-sycl-rt), so upgrading torch upgrades the user-space runtime too. "xpu" = [ - "torch==2.13.0+xpu; (sys_platform == 'linux' and platform_machine == 'x86_64') or sys_platform == 'win32'", - "torchvision==0.28.0+xpu; (sys_platform == 'linux' and platform_machine == 'x86_64') or sys_platform == 'win32'", + "torch==2.13.0+xpu; (sys_platform == 'linux' and platform_machine == 'x86_64') or (sys_platform == 'win32' and platform_machine != 'ARM64')", + "torchvision==0.28.0+xpu; (sys_platform == 'linux' and platform_machine == 'x86_64') or (sys_platform == 'win32' and platform_machine != 'ARM64')", # XPU triton (for torch.compile); the WHL index ships linux-x86_64 and win_amd64 wheels. # Renamed from pytorch-triton-xpu to triton-xpu upstream. - "triton-xpu==3.7.2; (sys_platform == 'linux' and platform_machine == 'x86_64') or sys_platform == 'win32'", + "triton-xpu==3.7.2; (sys_platform == 'linux' and platform_machine == 'x86_64') or (sys_platform == 'win32' and platform_machine != 'ARM64')", + # Windows ARM64 has no +xpu wheels either: NVIDIA's build, as everywhere else on that platform. + "torch==2.14.0+cu134; sys_platform == 'win32' and platform_machine == 'ARM64'", + "torchvision==0.29.0+cu134; sys_platform == 'win32' and platform_machine == 'ARM64'", # macOS / linux_aarch64 have no +xpu wheels: fall back to base torch so the extra's # conflict-universe always contains a torch. See note under "cpu". These stay on 2.7.1 to # match the other extras and the project's `torch<2.8.0` constraint on darwin -- only the @@ -183,8 +225,9 @@ dependencies = [ ] "onnx" = ["onnxruntime"] -"onnx-cuda" = ["onnxruntime-gpu"] -"onnx-directml" = ["onnxruntime-directml"] +# Neither GPU build of onnxruntime has win_arm64 wheels; `required-environments` below rejects the extras there. +"onnx-cuda" = ["onnxruntime-gpu; (sys_platform != 'win32' or platform_machine != 'ARM64')"] +"onnx-directml" = ["onnxruntime-directml; (sys_platform != 'win32' or platform_machine != 'ARM64')"] "dist" = ["pip-tools", "pipdeptree", "twine"] "dev" = ["jurigged", "pudb", "snakeviz", "gprof2dot"] "test" = [ @@ -209,10 +252,17 @@ dependencies = [ override-dependencies = ["opencv-python; sys_platform=='never'"] conflicts = [[{ extra = "cpu" }, { extra = "cuda" }, { extra = "rocm" }, { extra = "xpu" }]] index-strategy = "unsafe-best-match" -# Restrict resolution to the platforms we support: x86_64/aarch64 Linux, Windows, -# and macOS. (ROCm and the PyTorch WHL-index pins are x86_64-only; on aarch64 -# Linux torch/torchvision fall back to PyPI via the markers below.) +# Restrict resolution to the platforms we support: x86_64/aarch64 Linux, Windows +# (x64 and ARM64 -- both are `win32`), and macOS. (ROCm and the PyTorch WHL-index +# pins are x86_64-only; on aarch64 Linux torch/torchvision fall back to PyPI and on +# Windows ARM64 to NVIDIA's index via the markers below.) environments = ["sys_platform == 'win32' or sys_platform == 'darwin' or (sys_platform == 'linux' and (platform_machine == 'x86_64' or platform_machine == 'aarch64'))"] +# Windows on ARM64 must stay installable: uv refuses to lock a wheel-only package that has no +# win_arm64 wheel. It does not cover packages that also publish an sdist (uv would happily lock +# one and the build would fail on the user's machine), which is why the `; sys_platform == 'win32' +# and platform_machine == 'ARM64'` forks above pin ARM64-capable versions explicitly, and why +# scripts/check_platform_locks.py walks the platform's whole closure for wheel availability. +required-environments = ["sys_platform == 'win32' and platform_machine == 'ARM64'"] # compel, could you please not pull in all of Jupyter. (compel declares `notebook>=6.5.7` but does not # reference IPython/Jupyter anywhere in its code.) Dropping it takes ~65 packages out of the environment. @@ -230,27 +280,36 @@ exclude-dependencies = ["notebook"] # Exclude linux_aarch64 from the PyTorch WHL indexes so that uv resolves torch / # torchvision from PyPI on that platform. The indexes DO carry aarch64 torch wheels # (+cpu/+cu128), but no aarch64 torchvision wheels, so the pinned pairs cannot -# resolve there. All other platforms (Windows, macOS, Linux x86_64) are unaffected. +# resolve there. Windows ARM64 is likewise excluded and routed, with or without an +# extra, to NVIDIA's out-of-tree index. All other platforms (Windows x64, macOS, +# Linux x86_64) are unaffected. torch = [ - { index = "torch-cpu", extra = "cpu", marker = "sys_platform != 'linux' or platform_machine != 'aarch64'" }, - { index = "torch-cuda", extra = "cuda", marker = "sys_platform != 'linux' or platform_machine != 'aarch64'" }, - { index = "torch-rocm", extra = "rocm", marker = "sys_platform != 'linux' or platform_machine != 'aarch64'" }, - { index = "torch-xpu", extra = "xpu", marker = "(sys_platform == 'linux' and platform_machine == 'x86_64') or sys_platform == 'win32'" }, + { index = "torch-nvidia-win-arm64", marker = "sys_platform == 'win32' and platform_machine == 'ARM64'" }, + { index = "torch-cpu", extra = "cpu", marker = "(sys_platform != 'linux' or platform_machine != 'aarch64') and (sys_platform != 'win32' or platform_machine != 'ARM64')" }, + { index = "torch-cuda", extra = "cuda", marker = "(sys_platform != 'linux' or platform_machine != 'aarch64') and (sys_platform != 'win32' or platform_machine != 'ARM64')" }, + { index = "torch-rocm", extra = "rocm", marker = "(sys_platform != 'linux' or platform_machine != 'aarch64') and (sys_platform != 'win32' or platform_machine != 'ARM64')" }, + { index = "torch-xpu", extra = "xpu", marker = "(sys_platform == 'linux' and platform_machine == 'x86_64') or (sys_platform == 'win32' and platform_machine != 'ARM64')" }, { index = "pypi", marker = "sys_platform == 'linux' and platform_machine == 'aarch64'" }, ] torchvision = [ - { index = "torch-cpu", extra = "cpu", marker = "sys_platform != 'linux' or platform_machine != 'aarch64'" }, - { index = "torch-cuda", extra = "cuda", marker = "sys_platform != 'linux' or platform_machine != 'aarch64'" }, - { index = "torch-rocm", extra = "rocm", marker = "sys_platform != 'linux' or platform_machine != 'aarch64'" }, - { index = "torch-xpu", extra = "xpu", marker = "(sys_platform == 'linux' and platform_machine == 'x86_64') or sys_platform == 'win32'" }, + { index = "torch-nvidia-win-arm64", marker = "sys_platform == 'win32' and platform_machine == 'ARM64'" }, + { index = "torch-cpu", extra = "cpu", marker = "(sys_platform != 'linux' or platform_machine != 'aarch64') and (sys_platform != 'win32' or platform_machine != 'ARM64')" }, + { index = "torch-cuda", extra = "cuda", marker = "(sys_platform != 'linux' or platform_machine != 'aarch64') and (sys_platform != 'win32' or platform_machine != 'ARM64')" }, + { index = "torch-rocm", extra = "rocm", marker = "(sys_platform != 'linux' or platform_machine != 'aarch64') and (sys_platform != 'win32' or platform_machine != 'ARM64')" }, + { index = "torch-xpu", extra = "xpu", marker = "(sys_platform == 'linux' and platform_machine == 'x86_64') or (sys_platform == 'win32' and platform_machine != 'ARM64')" }, { index = "pypi", marker = "sys_platform == 'linux' and platform_machine == 'aarch64'" }, ] triton-rocm = [ { index = "torch-rocm", marker = "sys_platform == 'linux' and platform_machine != 'aarch64'" }, ] triton-xpu = [ - { index = "torch-xpu", marker = "(sys_platform == 'linux' and platform_machine == 'x86_64') or sys_platform == 'win32'" }, + { index = "torch-xpu", marker = "(sys_platform == 'linux' and platform_machine == 'x86_64') or (sys_platform == 'win32' and platform_machine != 'ARM64')" }, ] +# Windows ARM64 wheels PyPI does not provide, built by .github/workflows/build-win-arm64-wheels.yml +# and served from the release's index page. Elsewhere these resolve from PyPI as usual. +opencv-contrib-python = [{ index = "invoke-win-arm64-wheels", marker = "sys_platform == 'win32' and platform_machine == 'ARM64'" }] +blake3 = [{ index = "invoke-win-arm64-wheels", marker = "sys_platform == 'win32' and platform_machine == 'ARM64'" }] +tiktoken = [{ index = "invoke-win-arm64-wheels", marker = "sys_platform == 'win32' and platform_machine == 'ARM64'" }] [[tool.uv.index]] name = "pypi" @@ -276,6 +335,22 @@ name = "torch-xpu" url = "https://download.pytorch.org/whl/xpu" explicit = true +# NVIDIA's out-of-tree PyTorch for Windows on ARM64 (RTX Spark): torch 2.14.0+cu134 and torchvision +# 0.29.0+cu134, win_arm64 only. The torch wheel bundles cuBLAS, cuDNN, cuFFT and NVRTC (1.85 GB). +[[tool.uv.index]] +name = "torch-nvidia-win-arm64" +url = "https://pypi.nvidia.com/nvtorch_oot/" +explicit = true + +# A flat (find-links style) page listing this repo's self-built win_arm64 wheels, published as +# release assets by .github/workflows/build-win-arm64-wheels.yml. Bump the tag together with the +# ARM64 pins of the packages it serves. +[[tool.uv.index]] +name = "invoke-win-arm64-wheels" +url = "https://github.com/invoke-ai/InvokeAI-7/releases/download/win-arm64-wheels-v1/index.html" +format = "flat" +explicit = true + [project.scripts] "invokeai-web" = "invokeai.app.run_app:run_app" "invoke-useradd" = "invokeai.app.util.user_management:useradd" diff --git a/scripts/check_pins.py b/scripts/check_pins.py index 6ea6cad7bfe..537f86492a0 100644 --- a/scripts/check_pins.py +++ b/scripts/check_pins.py @@ -63,6 +63,9 @@ # the `rocm` extra in pyproject.toml is marked `sys_platform == 'linux'`. # - xpu is on both win32 and linux: PyTorch's XPU index publishes win_amd64 and # linux-x86_64 wheels, which is exactly what the `xpu` extra's markers allow. +# - Windows on ARM64 is deliberately absent: the launcher's legacy path predates +# every Invoke version that runs there, and its bootstrap path installs from +# the release lockfile, which carries the ARM64 torch index itself. REQUIRED_BACKENDS: dict[str, set[str]] = { "win32": {"cpu", "cuda", "xpu"}, "linux": {"cpu", "cuda", "rocm", "xpu"}, From 7d9504757c628cae603b5cd94121ab0f5ae8a293 Mon Sep 17 00:00:00 2001 From: Lincoln Stein Date: Mon, 14 Sep 2026 22:37:32 -0400 Subject: [PATCH 06/26] ci: build the ARM64 OpenCV wheel without FP16 NEON intrinsics MSVC has no __fp16 type, which the DNN Winograd kernel uses once NEON_FP16 is in the CPU baseline; pin the baseline to NEON with DOTPROD dispatch. Co-Authored-By: Claude Fable 5.1 Claude-Session: https://claude.ai/code/session_01NiaFTnYH9q9468Naf4PV3X --- .github/workflows/build-win-arm64-wheels.yml | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/.github/workflows/build-win-arm64-wheels.yml b/.github/workflows/build-win-arm64-wheels.yml index b5ee05e1624..c0e40fcea1e 100644 --- a/.github/workflows/build-win-arm64-wheels.yml +++ b/.github/workflows/build-win-arm64-wheels.yml @@ -78,7 +78,10 @@ jobs: # -DBUILD_opencv_rgbd=OFF: rgbd links the x86 intrinsic _tzcnt_u32 on ARM64 (opencv_contrib#3767). # -DCMAKE_SYSTEM_VERSION=10.0.22621.0: the 10.0.26100 SDK's wchar.h breaks NEON type aliasing under # MSVC for ARM64 (opencv/opencv#27401); the runner image carries both SDKs. - CMAKE_ARGS: -DPYTHON3_LIMITED_API=ON -DWITH_FFMPEG=OFF -DBUILD_opencv_rgbd=OFF -DCMAKE_SYSTEM_VERSION=10.0.22621.0 + # -DCPU_BASELINE=NEON -DCPU_DISPATCH=NEON_DOTPROD: a native ARM64 build otherwise detects NEON_FP16 into + # the baseline, and the DNN Winograd kernel then uses the `__fp16` type that MSVC does not have + # (error C2065/C2146 in conv_winograd_f63.simd.hpp). Half-float paths fall back to conversion code. + CMAKE_ARGS: -DPYTHON3_LIMITED_API=ON -DWITH_FFMPEG=OFF -DBUILD_opencv_rgbd=OFF -DCMAKE_SYSTEM_VERSION=10.0.22621.0 -DCPU_BASELINE=NEON -DCPU_DISPATCH=NEON_DOTPROD CMAKE_BUILD_PARALLEL_LEVEL: '4' run: | uv venv build-venv --python $env:PYTHON_REQUEST From 430f8bb01edde8445246b79267fc10f049f59f1d Mon Sep 17 00:00:00 2001 From: Lincoln Stein Date: Mon, 14 Sep 2026 22:55:02 -0400 Subject: [PATCH 07/26] build: lock the Windows ARM64 dependency forks Adds the win32/ARM64 resolution: torch 2.14.0+cu134 from NVIDIA's index, the release-hosted opencv/blake3/tiktoken wheels, and the ARM64-capable versions of numpy, onnx, onnxruntime, sentencepiece, bitsandbytes, cryptography and PyWavelets. Other platforms change only by bcrypt 5.0.0 replacing passlib. Co-Authored-By: Claude Fable 5.1 Claude-Session: https://claude.ai/code/session_01NiaFTnYH9q9468Naf4PV3X --- uv.lock | 1885 ++++++++++++++++++++++++++++++++++--------------------- 1 file changed, 1174 insertions(+), 711 deletions(-) diff --git a/uv.lock b/uv.lock index cf078532fe5..486739f973f 100644 --- a/uv.lock +++ b/uv.lock @@ -2,16 +2,21 @@ version = 1 revision = 3 requires-python = ">=3.11, <3.13" resolution-markers = [ + "python_full_version >= '3.12' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "python_full_version < '3.12' and platform_machine == 'ARM64' and sys_platform == 'win32'", "python_full_version >= '3.12' and platform_machine == 'aarch64' and sys_platform == 'linux'", - "(python_full_version >= '3.12' and platform_machine == 'x86_64' and sys_platform == 'linux') or (python_full_version >= '3.12' and sys_platform == 'win32')", - "python_full_version >= '3.12' and sys_platform == 'darwin'", "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform == 'linux'", - "(python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform == 'linux') or (python_full_version < '3.12' and sys_platform == 'win32')", + "(python_full_version >= '3.12' and platform_machine == 'x86_64' and sys_platform == 'linux') or (python_full_version >= '3.12' and platform_machine != 'ARM64' and sys_platform == 'win32')", + "(python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform == 'linux') or (python_full_version < '3.12' and platform_machine != 'ARM64' and sys_platform == 'win32')", + "python_full_version >= '3.12' and sys_platform == 'darwin'", "python_full_version < '3.12' and sys_platform == 'darwin'", ] supported-markers = [ "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'darwin' or sys_platform == 'win32'", ] +required-markers = [ + "platform_machine == 'ARM64' and sys_platform == 'win32'", +] conflicts = [[ { package = "invokeai", extra = "cpu" }, { package = "invokeai", extra = "cuda" }, @@ -37,17 +42,19 @@ name = "accelerate" version = "1.14.0" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "huggingface-hub" }, - { name = "numpy" }, - { name = "packaging" }, - { name = "psutil" }, - { name = "pyyaml" }, - { name = "safetensors" }, - { name = "torch", version = "2.7.1", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine != 'x86_64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine == 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine == 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine == 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine == 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and sys_platform != 'win32' and extra != 'extra-8-invokeai-cpu' and extra != 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'linux' and extra != 'extra-8-invokeai-cpu' and extra != 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'linux' and extra != 'extra-8-invokeai-cpu' and extra != 'extra-8-invokeai-cuda' and extra != 'extra-8-invokeai-rocm' and extra != 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra != 'extra-8-invokeai-cpu' and extra != 'extra-8-invokeai-cuda' and extra != 'extra-8-invokeai-rocm' and extra != 'extra-8-invokeai-xpu')" }, - { name = "torch", version = "2.7.1+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "(platform_machine == 'x86_64' and extra == 'extra-8-invokeai-cpu') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 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'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'darwin' or sys_platform == 'win32' or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" }, + { name = "pipdeptree", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'darwin' or sys_platform == 'win32' or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" }, + { name = "twine", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'darwin' or sys_platform == 'win32' or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" }, ] onnx = [ - { name = "onnxruntime" }, + { name = "onnxruntime", version = "1.19.2", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or (platform_machine != 'ARM64' and sys_platform == 'win32') or sys_platform == 'darwin' or (sys_platform != 'linux' and sys_platform != 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and sys_platform != 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and sys_platform != 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and sys_platform != 'win32' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and sys_platform != 'win32' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and sys_platform != 'win32' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" }, + { name = "onnxruntime", version = "1.30.0", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine == 'ARM64' and sys_platform == 'win32') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" }, ] onnx-cuda = [ - { name = "onnxruntime-gpu" }, + { name = "onnxruntime-gpu", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or (platform_machine != 'ARM64' and sys_platform == 'win32') or sys_platform == 'darwin' or (sys_platform != 'linux' and sys_platform != 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and sys_platform != 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and sys_platform != 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and sys_platform != 'win32' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and sys_platform != 'win32' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and sys_platform != 'win32' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" }, ] onnx-directml = [ - { name = "onnxruntime-directml" }, + { name = "onnxruntime-directml", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or (platform_machine != 'ARM64' and sys_platform == 'win32') or sys_platform == 'darwin' or (sys_platform != 'linux' and sys_platform != 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and sys_platform != 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and sys_platform != 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and sys_platform != 'win32' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and sys_platform != 'win32' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and sys_platform != 'win32' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" }, ] rocm = [ - { name = "torch", version = "2.7.1", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine != 'x86_64' and sys_platform == 'linux' and extra == 'extra-8-invokeai-rocm') or (platform_machine == 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu')" }, + { name = "torch", version = "2.7.1", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu')" }, { name = "torch", version = "2.13.0+rocm7.2", source = { registry = "https://download.pytorch.org/whl/rocm7.2" }, marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu')" }, - { name = "torchvision", version = "0.22.1", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine != 'x86_64' and sys_platform == 'linux' and extra == 'extra-8-invokeai-rocm') or (platform_machine == 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu')" }, + { name = "torch", version = "2.14.0+cu134", source = { registry = "https://pypi.nvidia.com/nvtorch_oot/" }, marker = "(platform_machine == 'ARM64' and sys_platform == 'win32' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu')" }, + { name = "torchvision", version = "0.22.1", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu')" }, { name = "torchvision", version = "0.28.0+rocm7.2", source = { registry = "https://download.pytorch.org/whl/rocm7.2" }, marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu')" }, + { name = "torchvision", version = "0.29.0+cu134", source = { registry = "https://pypi.nvidia.com/nvtorch_oot/" }, marker = "(platform_machine == 'ARM64' and sys_platform == 'win32' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu')" }, { name = "triton-rocm", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, ] test = [ - { name = "httpx" }, - { name = "humanize" }, - { name = "mypy" }, - { name = "polyfactory" }, - { name = "pre-commit" }, - { name = "pytest" }, - { name = "pytest-cov" }, - { name = "pytest-datadir" }, - { name = "pytest-timeout" }, - { name = "pytest-xdist" }, - { name = "requests-testadapter" }, - { name = "ruff" }, - { name = "ruff-lsp" }, + { name = "httpx", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or 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or (sys_platform == 'win32' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" }, + { name = "torchvision", version = "0.29.0+cu134", source = { registry = "https://pypi.nvidia.com/nvtorch_oot/" }, marker = "(platform_machine == 'ARM64' and sys_platform == 'win32' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu')" }, + { name = "triton-xpu", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or (platform_machine != 'ARM64' and sys_platform == 'win32')" }, ] [package.metadata] requires-dist = [ { name = "accelerate" }, - { name = "bcrypt", specifier = "<4.0.0" }, - { name = "bitsandbytes", marker = "sys_platform != 'darwin'" }, - { name = "blake3" }, + { name = "bcrypt", specifier = ">=4.1" }, + { name = "bitsandbytes", marker = "(platform_machine != 'ARM64' and sys_platform == 'win32') or (sys_platform != 'darwin' and sys_platform != 'win32')" }, + { name = "bitsandbytes", marker = "platform_machine == 'ARM64' and sys_platform == 'win32'", specifier = ">=0.50.1" }, + { name = "blake3", marker = "platform_machine != 'ARM64' or sys_platform != 'win32'" }, + { name = "blake3", marker = "platform_machine == 'ARM64' and sys_platform == 'win32'", specifier = "==1.0.9", index = "https://github.com/invoke-ai/InvokeAI-7/releases/download/win-arm64-wheels-v1/index.html" }, { name = "compel", specifier = ">=2.4.0,<3" }, + { name = "cryptography", marker = "platform_machine == 'ARM64' and sys_platform == 'win32'", specifier = ">=46,<46.0.4" }, { name = "deprecated" }, { name = "diffusers", extras = ["torch"], specifier = "==0.40.0" }, { name = "dnspython" }, @@ -1224,27 +1387,33 @@ requires-dist = [ { name = "email-validator", specifier = ">=2.0.0" }, { name = "fastapi", specifier = ">=0.141.1,<0.142" }, { name = "fastapi-events" }, - { name = "fonttools", extras = ["woff"] }, + { name = "fonttools", marker = "platform_machine == 'ARM64' and sys_platform == 'win32'" }, + { name = "fonttools", extras = ["woff"], marker = "platform_machine != 'ARM64' or sys_platform != 'win32'" }, { name = "gguf" }, { name = "gprof2dot", marker = "extra == 'dev'" }, { name = "httpx", marker = "extra == 'test'" }, { name = "huggingface-hub" }, { name = "humanize", marker = "extra == 'test'", specifier = "==4.12.1" }, - { name = "imageio", extras = ["ffmpeg"], specifier = ">=2.37" }, + { name = "imageio", marker = "platform_machine == 'ARM64' and sys_platform == 'win32'", specifier = ">=2.37" }, + { name = "imageio", extras = ["ffmpeg"], marker = "platform_machine != 'ARM64' or sys_platform != 'win32'", specifier = ">=2.37" }, + { name = "imageio-ffmpeg", marker = "platform_machine == 'ARM64' and sys_platform == 'win32'", specifier = ">=0.6" }, { name = "jurigged", marker = "extra == 'dev'" }, - { name = "mediapipe", specifier = "==0.10.14" }, + { name = "mediapipe", marker = "platform_machine != 'ARM64' or sys_platform != 'win32'", specifier = "==0.10.14" }, { name = "mistral-common", specifier = ">=1.5.4,<2" }, { name = "mypy", marker = "extra == 'test'" }, { name = "networkx" }, - { name = "numba", specifier = ">=0.59,<0.62" }, - { name = "numpy", specifier = "<2.0.0" }, - { name = "onnx", specifier = "==1.16.1" }, - { name = "onnxruntime", specifier = "==1.19.2" }, + { name = "numba", marker = "platform_machine != 'ARM64' or sys_platform != 'win32'", specifier = ">=0.59,<0.62" }, + { name = "numpy", marker = "platform_machine != 'ARM64' or 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'ARM64' and extra == 'onnx-directml') or (sys_platform != 'win32' and extra == 'onnx-directml')" }, + { name = "onnxruntime-gpu", marker = "(platform_machine != 'ARM64' and extra == 'onnx-cuda') or (sys_platform != 'win32' and extra == 'onnx-cuda')" }, + { name = "opencv-contrib-python", marker = "platform_machine != 'ARM64' or sys_platform != 'win32'" }, + { name = "opencv-contrib-python", marker = "platform_machine == 'ARM64' and sys_platform == 'win32'", specifier = "==4.11.0.86", index = "https://github.com/invoke-ai/InvokeAI-7/releases/download/win-arm64-wheels-v1/index.html" }, { name = "picklescan" }, { name = "pillow" }, { name = "pip-tools", marker = "extra == 'dist'" }, @@ -1265,7 +1434,8 @@ requires-dist = [ { name = "python-jose", extras = ["cryptography"], specifier = ">=3.3.0" }, { name = "python-multipart" }, { name = "python-socketio" }, - { name = "pywavelets" }, + { name = "pywavelets", marker = "python_full_version < '3.12' or platform_machine != 'ARM64' or sys_platform != 'win32'" }, + { name = "pywavelets", marker = "python_full_version >= '3.12' and platform_machine == 'ARM64' and sys_platform == 'win32'", specifier = ">=1.10" }, { name = "requests" }, { name = "requests-testadapter", marker = "extra == 'test'" }, { name = "ruff", marker = "extra == 'test'", specifier = "~=0.11.2" }, @@ -1273,10 +1443,12 @@ requires-dist = [ { name = "safetensors" }, { name = "scikit-learn", specifier = "~=1.5" }, { name = "semver", specifier = "~=3.0.1" }, - { name = "sentencepiece", specifier = "==0.2.0" }, + { name = "sentencepiece", marker = "platform_machine != 'ARM64' or sys_platform != 'win32'", specifier = "==0.2.0" }, + { name = "sentencepiece", marker = "platform_machine == 'ARM64' and sys_platform == 'win32'", specifier = ">=0.2.2" }, { name = "snakeviz", marker = "extra == 'dev'" }, { name = "spandrel" }, - { name = "torch", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')", specifier = ">=2.7.0,<3.0" }, + { name = "tiktoken", marker = "platform_machine == 'ARM64' and sys_platform == 'win32'", specifier = "==0.13.0", index = "https://github.com/invoke-ai/InvokeAI-7/releases/download/win-arm64-wheels-v1/index.html" }, + { name = "torch", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (platform_machine != 'ARM64' and sys_platform == 'win32') or (sys_platform != 'darwin' and sys_platform != 'linux' and sys_platform != 'win32')", specifier = ">=2.7.0,<3.0" }, { name = "torch", marker = "sys_platform == 'darwin'", specifier = ">=2.7.0,<2.8.0" }, { name = "torch", marker = "sys_platform == 'darwin' and extra == 'xpu'", specifier = "==2.7.1" }, { name = "torch", marker = "platform_machine == 'aarch64' and sys_platform == 'linux'", specifier = ">=2.7.0,<3.0", index = "https://pypi.org/simple" }, @@ -1285,28 +1457,43 @@ requires-dist = [ { name = "torch", marker = "platform_machine == 'aarch64' and sys_platform == 'linux' and 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"platform_machine == 'ARM64' and sys_platform == 'win32' and extra == 'cuda'", specifier = "==2.14.0+cu134", index = "https://pypi.nvidia.com/nvtorch_oot/" }, + { name = "torch", marker = "platform_machine == 'ARM64' and sys_platform == 'win32' and extra == 'rocm'", specifier = "==2.14.0+cu134", index = "https://pypi.nvidia.com/nvtorch_oot/" }, + { name = "torch", marker = "platform_machine == 'ARM64' and sys_platform == 'win32' and extra == 'xpu'", specifier = "==2.14.0+cu134", index = "https://pypi.nvidia.com/nvtorch_oot/" }, { name = "torchsde" }, { name = "torchvision", marker = "sys_platform == 'darwin' and extra == 'xpu'", specifier = "==0.22.1" }, - { name = "torchvision", marker = "platform_machine != 'aarch64' or sys_platform != 'linux'" }, + { name = "torchvision", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (platform_machine != 'ARM64' and sys_platform == 'win32') or (sys_platform != 'linux' and sys_platform != 'win32')" }, { name = 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and sys_platform == 'linux' and extra == 'xpu') or (platform_machine != 'ARM64' and sys_platform == 'win32' and extra == 'xpu')", specifier = "==0.28.0+xpu", index = "https://download.pytorch.org/whl/xpu", conflict = { package = "invokeai", extra = "xpu" } }, + { name = "torchvision", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux' and extra == 'cpu') or (platform_machine != 'ARM64' and sys_platform == 'win32' and extra == 'cpu') or (sys_platform != 'linux' and sys_platform != 'win32' and extra == 'cpu')", specifier = "==0.22.1+cpu", index = "https://download.pytorch.org/whl/cpu", conflict = { package = "invokeai", extra = "cpu" } }, + { name = "torchvision", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux' and extra == 'cuda') or (platform_machine != 'ARM64' and sys_platform == 'win32' and extra == 'cuda') or (sys_platform != 'linux' and sys_platform != 'win32' and extra == 'cuda')", specifier = "==0.22.1+cu128", index = "https://download.pytorch.org/whl/cu128", conflict = { package = "invokeai", extra = "cuda" } }, + { name = "torchvision", marker = "platform_machine == 'ARM64' and sys_platform == 'win32'", index = "https://pypi.nvidia.com/nvtorch_oot/" }, + { name = "torchvision", marker = "platform_machine == 'ARM64' and sys_platform == 'win32'", specifier = "==0.29.0+cu134", index = "https://pypi.nvidia.com/nvtorch_oot/" }, + { name = "torchvision", marker = "platform_machine == 'ARM64' and sys_platform == 'win32' and extra == 'cpu'", specifier = "==0.29.0+cu134", index = "https://pypi.nvidia.com/nvtorch_oot/" }, + { name = "torchvision", marker = "platform_machine == 'ARM64' and sys_platform == 'win32' and extra == 'cuda'", specifier = "==0.29.0+cu134", index = "https://pypi.nvidia.com/nvtorch_oot/" }, + { name = "torchvision", marker = "platform_machine == 'ARM64' and sys_platform == 'win32' and extra == 'rocm'", specifier = "==0.29.0+cu134", index = "https://pypi.nvidia.com/nvtorch_oot/" }, + { name = "torchvision", marker = "platform_machine == 'ARM64' and sys_platform == 'win32' and extra == 'xpu'", specifier = "==0.29.0+cu134", index = "https://pypi.nvidia.com/nvtorch_oot/" }, { name = "transformers", specifier = ">=5.5,<5.6" }, { name = "triton-rocm", marker = "platform_machine != 'aarch64' and sys_platform == 'linux' and extra == 'rocm'", specifier = "==3.7.1", index = "https://download.pytorch.org/whl/rocm7.2" }, - { name = "triton-xpu", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'xpu') or (sys_platform == 'win32' and extra == 'xpu')", specifier = "==3.7.2", index = "https://download.pytorch.org/whl/xpu" }, + { name = "triton-xpu", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'xpu') or (platform_machine != 'ARM64' and sys_platform == 'win32' and extra == 'xpu')", specifier = "==3.7.2", index = "https://download.pytorch.org/whl/xpu" }, { name = "twine", marker = "extra == 'dist'" }, - { name = 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or (sys_platform == 'win32' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" }, + { name = "torch", version = "2.7.1+cu128", source = { registry = "https://download.pytorch.org/whl/cu128" }, marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'ARM64' and sys_platform == 'win32' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and sys_platform != 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and sys_platform != 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and sys_platform != 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and sys_platform != 'win32' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and sys_platform != 'win32' and 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'linux') or (python_full_version < '3.12' and sys_platform == 'win32')", + "(python_full_version >= '3.12' and platform_machine == 'x86_64' and sys_platform == 'linux') or (python_full_version >= '3.12' and platform_machine != 'ARM64' and sys_platform == 'win32')", + "(python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform == 'linux') or (python_full_version < '3.12' and platform_machine != 'ARM64' and sys_platform == 'win32')", ] dependencies = [ - { name = "numpy", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (extra == 'extra-8-invokeai-cpu' and extra == 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= "2026-07-08T12:27:05Z" }, @@ -4024,6 +4468,24 @@ wheels = [ { url = "https://download-r2.pytorch.org/whl/xpu/torchvision-0.28.0%2Bxpu-cp312-cp312-win_amd64.whl", hash = "sha256:0e4f03dd883c602864689af5693bb90f32464dd18d6af88643ff52c4cd3daef8", upload-time = "2026-07-08T12:27:05Z" }, ] +[[package]] +name = "torchvision" +version = "0.29.0+cu134" +source = { registry = "https://pypi.nvidia.com/nvtorch_oot/" } +resolution-markers = [ + "python_full_version >= '3.12' and platform_machine == 'ARM64' and sys_platform == 'win32'", + "python_full_version < '3.12' and platform_machine == 'ARM64' and sys_platform == 'win32'", +] +dependencies = [ + { name = "numpy", version = "2.3.5", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine == 'ARM64' and sys_platform == 'win32') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cpu' and extra == 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'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" }, + { name = "pillow", marker = "(platform_machine == 'ARM64' and sys_platform == 'win32') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or 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"sha256:f5eeb64324ab36b8738d9f84cf58652b77a582ce41762304c17230e11bc3f838" }, + { url = "https://pypi.nvidia.com/nvtorch_oot/torchvision/torchvision-0.29.0%2Bcu134-cp312-cp312-win_arm64.whl", hash = "sha256:e54986da6fb6f4dd72a17894539df7dad578a8f9979100b823cc79717da23fbb" }, +] + [[package]] name = "tornado" version = "6.5.7" @@ -4066,15 +4528,16 @@ name = "transformers" version = "5.5.4" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "huggingface-hub" }, - { name = "numpy" }, - { name = "packaging" }, - { name = "pyyaml" }, - { name = "regex" }, - { name = "safetensors" }, - { name = "tokenizers" }, - { name = "tqdm" }, - { name = "typer" }, + { name = "huggingface-hub", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') 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Co-Authored-By: Claude Fable 5.1 Claude-Session: https://claude.ai/code/session_01NiaFTnYH9q9468Naf4PV3X --- .../docs/start-here/system-requirements.mdx | 7 +- invokeai/app/invocations/facetools.py | 4 +- .../image_util/mediapipe_face/__init__.py | 16 ++++- tests/app/routers/test_utilities.py | 2 + .../services/image_index/test_projection.py | 5 +- .../image_util/test_mediapipe_face_gate.py | 24 ++++++- tests/test_check_platform_locks.py | 65 ++++++++++++++++--- 7 files changed, 102 insertions(+), 21 deletions(-) diff --git a/docs/src/content/docs/start-here/system-requirements.mdx b/docs/src/content/docs/start-here/system-requirements.mdx index a8e797dcbd0..fa07ce02bf4 100644 --- a/docs/src/content/docs/start-here/system-requirements.mdx +++ b/docs/src/content/docs/start-here/system-requirements.mdx @@ -123,7 +123,7 @@ Requirements: - NVIDIA's RTX Spark Developer Driver, 616.41 or later, and Windows 11 ARM64. NVIDIA's [RTX Spark developer page] has the driver and the porting guide; the CUDA Toolkit itself is not needed, the torch wheel bundles its CUDA 13.4 libraries. - Python **3.12**, as a native ARM64 build. An x86_64 Python runs under emulation but cannot load the ARM64 torch wheel. `uv` installs an x86_64 interpreter on ARM64 Windows unless asked for the native one: request `cpython-3.12-windows-aarch64-none` (see the [manual install](../manual) guide). -- torch comes from NVIDIA's index (`https://pypi.nvidia.com/nvtorch_oot/`), not from PyTorch's, and the torch wheel is 1.85 GB. The launcher and `uv sync` handle this automatically; a manual `uv pip install` needs the `--index` and `--find-links` options from the manual install guide. +- torch comes from NVIDIA's index (`https://pypi.nvidia.com/nvtorch_oot/`), not from PyTorch's, and the torch wheel is 1.85 GB. `uv sync` from a source checkout handles this automatically; a manual `uv pip install` needs the `--index` and `--find-links` options from the manual install guide. The Invoke Launcher does not support Windows ARM64 yet; use the manual install until a launcher release adds it. - An `ffmpeg` on `PATH` (or the `IMAGEIO_FFMPEG_EXE` environment variable) for the video nodes and video thumbnails. On other platforms the `imageio-ffmpeg` package bundles one; it has no ARM64 build. Differences from Windows x64, all because the underlying package has no Windows ARM64 build: @@ -131,9 +131,8 @@ Differences from Windows x64, all because the underlying package has no Windows - The MediaPipe face detection preprocessor and the Face Tools nodes (Face Identifier, Face Mask, Face Off) report an error when run. - The image map projects with PCA instead of UMAP, so it is less structured. - `xformers` is not available; torch's own attention kernels are used. -- `.woff2` fonts are skipped by the font list; `.ttf`, `.otf` and `.woff` work. -- PyPatchMatch does not install; the `patchmatch` infill method is hidden. -- ONNX models (the DW OpenPose preprocessor) run on the CPU. +- `.woff2` fonts cannot be read: the font list skips them and uploads are rejected. `.ttf`, `.otf` and `.woff` work. +- PyPatchMatch has no prebuilt library for Windows ARM64, so the `patchmatch` infill method is unavailable. GPU generation on RTX Spark has not yet been validated by the Invoke team on hardware; installation and the CPU code paths are exercised in CI on Windows ARM64 runners. diff --git a/invokeai/app/invocations/facetools.py b/invokeai/app/invocations/facetools.py index c6d3ece54ec..3bb6c34c15e 100644 --- a/invokeai/app/invocations/facetools.py +++ b/invokeai/app/invocations/facetools.py @@ -19,7 +19,7 @@ from invokeai.app.invocations.primitives import ImageOutput from invokeai.app.services.image_records.image_records_common import ImageCategory from invokeai.app.services.shared.invocation_context import InvocationContext -from invokeai.backend.image_util.mediapipe_face import MEDIAPIPE_UNAVAILABLE_MESSAGE +from invokeai.backend.image_util.mediapipe_face import mediapipe_import_error @invocation_output("face_mask_output") @@ -199,7 +199,7 @@ def generate_face_box_mask( try: from mediapipe.python.solutions.face_mesh import FaceMesh # type: ignore[import] except ImportError as e: - raise RuntimeError(MEDIAPIPE_UNAVAILABLE_MESSAGE) from e + raise mediapipe_import_error(e) from e face_mesh = FaceMesh( max_num_faces=999, diff --git a/invokeai/backend/image_util/mediapipe_face/__init__.py b/invokeai/backend/image_util/mediapipe_face/__init__.py index b9217637374..ce1e9cae63a 100644 --- a/invokeai/backend/image_util/mediapipe_face/__init__.py +++ b/invokeai/backend/image_util/mediapipe_face/__init__.py @@ -1,5 +1,8 @@ # Adapted from https://github.com/huggingface/controlnet_aux +import platform +import sys + from PIL import Image from invokeai.backend.image_util.util import np_to_pil, pil_to_np @@ -13,13 +16,24 @@ ) +def mediapipe_import_error(error: ImportError) -> RuntimeError: + """The error to raise when mediapipe cannot be imported. + + Names the platform only where the platform is the cause; elsewhere an import failure is a broken + install (a protobuf mismatch, say) and the message must carry the original error. + """ + if sys.platform == "win32" and platform.machine() == "ARM64": + return RuntimeError(MEDIAPIPE_UNAVAILABLE_MESSAGE) + return RuntimeError(f"MediaPipe failed to import, so the MediaPipe face nodes cannot run: {error}") + + def detect_faces(image: Image.Image, max_faces: int = 1, min_confidence: float = 0.5) -> Image.Image: """Detects faces in an image using MediaPipe.""" try: from invokeai.backend.image_util.mediapipe_face.mediapipe_face_common import generate_annotation except ImportError as e: - raise RuntimeError(MEDIAPIPE_UNAVAILABLE_MESSAGE) from e + raise mediapipe_import_error(e) from e np_img = pil_to_np(image) detected_map = generate_annotation(np_img, max_faces, min_confidence) diff --git a/tests/app/routers/test_utilities.py b/tests/app/routers/test_utilities.py index de5fd17b8c6..d04daae2d64 100644 --- a/tests/app/routers/test_utilities.py +++ b/tests/app/routers/test_utilities.py @@ -244,6 +244,8 @@ def test_list_user_fonts_reads_real_woff2_file( fonts_dir = mock_invoker.services.configuration.fonts_path fonts_dir.mkdir(parents=True, exist_ok=True) source_font = Path(__file__).parents[3] / "invokeai" / "assets" / "fonts" / "inter" / "Inter-Regular.ttf" + # fontTools encodes woff2 through brotli, which has no Windows ARM64 wheel (the `woff` extra is dropped there). + pytest.importorskip("brotli", reason="woff2 encoding needs brotli, absent on this platform") font = TTFont(source_font) try: font.flavor = "woff2" diff --git a/tests/app/services/image_index/test_projection.py b/tests/app/services/image_index/test_projection.py index 205752e37b3..bbda4133ffe 100644 --- a/tests/app/services/image_index/test_projection.py +++ b/tests/app/services/image_index/test_projection.py @@ -8,7 +8,6 @@ from invokeai.app.services.image_index.image_index_common import IndexedItem from invokeai.app.services.image_index.projection import ( DEFAULT_CLUSTER_EPS, - _pca_projection, adaptive_cluster_eps, compute_clusters, compute_umap, @@ -243,8 +242,8 @@ def test_umap_missing_falls_back_to_pca(monkeypatch) -> None: assert coords.shape == (embeddings.shape[0], 2) assert coords.dtype == np.float32 assert np.isfinite(coords).all() - # The fallback is the deterministic PCA projection, and it must still separate the blobs. - assert np.array_equal(coords, _pca_projection(embeddings)) + # The fallback is deterministic and must still separate the blobs. + assert np.array_equal(coords, compute_umap(embeddings)) span = np.ptp(coords, axis=0).max() labels = compute_clusters(coords, eps=span * 0.05, min_samples=10) assert len({label for label in labels if label != -1}) >= 2 diff --git a/tests/backend/image_util/test_mediapipe_face_gate.py b/tests/backend/image_util/test_mediapipe_face_gate.py index 498eab4833c..412b238a288 100644 --- a/tests/backend/image_util/test_mediapipe_face_gate.py +++ b/tests/backend/image_util/test_mediapipe_face_gate.py @@ -27,12 +27,30 @@ def _image() -> Image.Image: return Image.fromarray(np.zeros((64, 64, 3), dtype=np.uint8)) -def test_detect_faces_reports_missing_mediapipe(no_mediapipe): - with pytest.raises(RuntimeError, match="MediaPipe is not available"): +def _as_windows_arm64(monkeypatch) -> None: + from invokeai.backend.image_util import mediapipe_face + + monkeypatch.setattr(mediapipe_face.sys, "platform", "win32") + monkeypatch.setattr(mediapipe_face.platform, "machine", lambda: "ARM64") + + +def test_detect_faces_names_the_platform_on_windows_arm64(no_mediapipe, monkeypatch): + _as_windows_arm64(monkeypatch) + with pytest.raises(RuntimeError) as excinfo: detect_faces(_image()) + assert str(excinfo.value) == MEDIAPIPE_UNAVAILABLE_MESSAGE -def test_face_box_mask_reports_missing_mediapipe(no_mediapipe): +def test_face_box_mask_names_the_platform_on_windows_arm64(no_mediapipe, monkeypatch): + _as_windows_arm64(monkeypatch) with pytest.raises(RuntimeError) as excinfo: generate_face_box_mask(context=None, minimum_confidence=0.5, x_offset=0, y_offset=0, pil_image=_image()) # type: ignore[arg-type] assert str(excinfo.value) == MEDIAPIPE_UNAVAILABLE_MESSAGE + + +def test_import_failure_elsewhere_carries_the_original_error(no_mediapipe): + # On platforms that do have mediapipe, an import failure is a broken install, not the platform: the + # user must see the real cause rather than the Windows ARM64 explanation. + with pytest.raises(RuntimeError, match=r"MediaPipe failed to import.*mediapipe") as excinfo: + detect_faces(_image()) + assert "Windows ARM64" not in str(excinfo.value) diff --git a/tests/test_check_platform_locks.py b/tests/test_check_platform_locks.py index 941f1720213..7365a55a1da 100644 --- a/tests/test_check_platform_locks.py +++ b/tests/test_check_platform_locks.py @@ -35,9 +35,17 @@ def wheel(name: str, version: str, tag: str, registry: str) -> str: return f'{{ url = "{registry}/{name}-{version.replace("+", "%2B")}-{tag}.whl", hash = "sha256:0" }}' -def package(name: str, version: str, registry: str, wheels: list[str], deps: list[str] = ()) -> str: +def package( + name: str, + version: str, + registry: str, + wheels: list[str], + deps: list[str] = (), + extras: dict[str, list[str]] | None = None, + sdist: bool = False, +) -> str: dep_lines = "\n".join(f" {d}," for d in deps) - return f''' + text = f''' [[package]] name = "{name}" version = "{version}" @@ -45,14 +53,27 @@ def package(name: str, version: str, registry: str, wheels: list[str], deps: lis dependencies = [ {dep_lines} ] -wheels = [ -{chr(10).join(" " + w + "," for w in wheels)} -] ''' - - -def dep(name: str, version: str | None = None, registry: str | None = None, marker: str | None = None) -> str: + if sdist: + text += f'sdist = {{ url = "{registry}/{name}-{version}.tar.gz", hash = "sha256:0" }}\n' + text += "wheels = [\n" + "\n".join(" " + w + "," for w in wheels) + "\n]\n" + if extras: + text += "\n[package.optional-dependencies]\n" + for extra, edges in extras.items(): + text += f"{extra} = [\n" + "\n".join(" " + e + "," for e in edges) + "\n]\n" + return text + + +def dep( + name: str, + version: str | None = None, + registry: str | None = None, + marker: str | None = None, + extra: list[str] | None = None, +) -> str: parts = [f'name = "{name}"'] + if extra: + parts.append("extra = [" + ", ".join(f'"{e}"' for e in extra) + "]") if version: parts.append(f'version = "{version}"') if registry: @@ -68,6 +89,9 @@ def make_lock( win_arm_torch_tag: str = "cp312-cp312-win_arm64", aarch64_torchvision_tag: str = "cp312-cp312-manylinux_2_28_aarch64", closure_tag: str = "cp312-abi3-win_arm64", + transitive_tag: str = "cp312-cp312-win_arm64", + extra_dep_tag: str = "cp312-cp312-win_arm64", + sdist_only: str | None = None, ) -> str: base_torch = [ dep("torch", "2.7.1", PYPI, f"({AARCH64}) or ({NOT_WIN_ARM} and {NO_CUDA})"), @@ -93,6 +117,9 @@ def make_lock( source = {{ editable = "." }} dependencies = [ {dep("numpy")}, + {dep("python-jose")}, + {dep("imageio", extra=["ffmpeg"])}, +{(" " + dep(sdist_only) + ",") if sdist_only else ""} {dep("cryptography", "46.0.3", PYPI, WIN_ARM)}, {dep("cryptography", "49.0.0", PYPI, NOT_WIN_ARM)}, {chr(10).join(" " + d + "," for d in base_torch)} @@ -106,6 +133,12 @@ def make_lock( {chr(10).join(" " + d + "," for d in base_torch)} ] {package("numpy", "2.3.5", PYPI, [wheel("numpy", "2.3.5", "cp312-cp312-win_arm64", PYPI), wheel("numpy", "2.3.5", "cp312-cp312-manylinux_2_28_aarch64", PYPI)])} +{package("python-jose", "3.5.0", PYPI, [wheel("python_jose", "3.5.0", "py3-none-any", PYPI)], deps=[dep("rsa")])} +{package("rsa", "4.9", PYPI, [wheel("rsa", "4.9", transitive_tag, PYPI)])} +{package("imageio", "2.37.4", PYPI, [wheel("imageio", "2.37.4", "py3-none-any", PYPI)], deps=[dep("pillow")], extras={"ffmpeg": [dep("imageio-ffmpeg")]})} +{package("pillow", "12.2.0", PYPI, [wheel("pillow", "12.2.0", extra_dep_tag, PYPI)])} +{package("imageio-ffmpeg", "0.6.0", PYPI, [], sdist=True)} +{package(sdist_only, "1.0", PYPI, [], sdist=True) if sdist_only else ""} {package("cryptography", "46.0.3", PYPI, [wheel("cryptography", "46.0.3", closure_tag, PYPI)])} {package("cryptography", "49.0.0", PYPI, [wheel("cryptography", "49.0.0", "cp312-abi3-win_amd64", PYPI)])} {package("torch", "2.7.1", PYPI, [wheel("torch", "2.7.1", "cp312-cp312-manylinux_2_28_aarch64", PYPI)])} @@ -148,6 +181,22 @@ def test_win_arm64_closure_package_without_arm64_wheel_fails(tmp_path: Path): assert run(tmp_path, make_lock(closure_tag="cp312-abi3-win_amd64"), "aarch64") == 0 +def test_win_arm64_transitive_package_without_arm64_wheel_fails(tmp_path: Path): + """The walk must follow a package's own dependencies, not just the root's edges.""" + assert run(tmp_path, make_lock(transitive_tag="cp312-cp312-win_amd64"), "win_arm64") == 1 + + +def test_win_arm64_package_reached_through_an_extra_without_arm64_wheel_fails(tmp_path: Path): + """`imageio[ffmpeg]`-style edges add the extra's dependencies to the closure.""" + assert run(tmp_path, make_lock(extra_dep_tag="cp312-cp312-win_amd64"), "win_arm64") == 1 + + +def test_win_arm64_sdist_only_package_fails_unless_allow_listed(tmp_path: Path): + """imageio-ffmpeg is allow-listed (pure sdist); any other wheel-less package is a build on the user's machine.""" + assert run(tmp_path, make_lock(), "win_arm64") == 0 + assert run(tmp_path, make_lock(sdist_only="some-native-package"), "win_arm64") == 1 + + def test_aarch64_torchvision_without_aarch64_wheel_fails(tmp_path: Path): assert run(tmp_path, make_lock(aarch64_torchvision_tag="cp312-cp312-manylinux_2_28_x86_64"), "aarch64") == 1 From 81993b514eacd7779b92b0a41ad0504c0327234f Mon Sep 17 00:00:00 2001 From: Lincoln Stein Date: Mon, 14 Sep 2026 23:13:23 -0400 Subject: [PATCH 09/26] fix: never publish ARM64 wheels from pull requests; harden the checker Pull-request runs of the wheel workflow only build and verify; publishing is dispatch-only under a concurrency group, and tags are treated as immutable because the lockfile pins the assets by hash. The closure walk now follows a package's extras even after a plain edge reached it, the ARM64 test lane skips uv's cache, and the umap fallback is a cached loader. Co-Authored-By: Claude Fable 5.1 Claude-Session: https://claude.ai/code/session_01NiaFTnYH9q9468Naf4PV3X --- .github/workflows/build-win-arm64-wheels.yml | 55 +++++++++++++------ .github/workflows/python-tests.yml | 4 +- .../features/Multi-User Mode/admin-guide.mdx | 7 +-- .../app/services/image_index/projection.py | 25 ++++++--- .../torch_module_autocast.py | 2 +- .../model_manager/load/model_loaders/flux.py | 2 +- .../patches/layers/param_shape_utils.py | 2 +- scripts/check_platform_locks.py | 43 +++++++++------ .../services/image_index/test_projection.py | 9 ++- tests/test_check_platform_locks.py | 9 ++- tests/test_imports.py | 2 + 11 files changed, 103 insertions(+), 57 deletions(-) diff --git a/.github/workflows/build-win-arm64-wheels.yml b/.github/workflows/build-win-arm64-wheels.yml index c0e40fcea1e..ea62b89d3c8 100644 --- a/.github/workflows/build-win-arm64-wheels.yml +++ b/.github/workflows/build-win-arm64-wheels.yml @@ -3,11 +3,15 @@ # GitHub release. `pyproject.toml` resolves those three packages on Windows ARM64 from that page (the # `invoke-win-arm64-wheels` index), and the manual-install docs pass the same page to `--find-links`. # -# Runs on dispatch, and on pull requests that change this workflow or its scripts (a workflow only becomes -# dispatchable once it is on the default branch, and a change to the build recipe is exactly when a rebuild is -# wanted). Run it before re-locking: the lockfile records the asset URLs and hashes. Bumping a version here -# means bumping the matching `; sys_platform == 'win32' and platform_machine == 'ARM64'` pins in -# pyproject.toml and, unless the tag changes, re-uploading over the old assets (`--clobber`). +# Pull requests that change this workflow or its scripts build the wheels (a workflow only becomes dispatchable +# once it is on the default branch, and a change to the recipe is exactly when a build should be proven) but +# never publish them: the builds are not byte-reproducible, and the lockfile pins the published assets by hash, +# so re-uploading over a tag would break every ARM64 install and `uv lock --locked` until the next re-lock. +# Publishing is a deliberate act: dispatch the workflow with a NEW release tag, then bump the tag in +# pyproject.toml's `invoke-win-arm64-wheels` index together with the matching `; sys_platform == 'win32' and +# platform_machine == 'ARM64'` pins and re-lock. Tags are immutable in practice: every tagged Invoke release +# locks the assets of the tag its pyproject named, so overwriting a tag breaks those releases' installs. +# `--clobber` below only lets an interrupted upload of the same build be completed. name: build-win-arm64-wheels on: @@ -34,6 +38,11 @@ on: type: string default: 0.13.0 +# Two runs must not race on the same release tag. +concurrency: + group: build-win-arm64-wheels-${{ inputs.release_tag || github.event.pull_request.number || github.run_id }} + cancel-in-progress: false + env: # Keep in step with python-tests.yml and uv-lock-checks.yml. UV_VERSION: '0.11.28' @@ -48,8 +57,8 @@ jobs: opencv: name: opencv-contrib-python runs-on: windows-11-arm - # A full contrib build on the 4-vCPU runner is a multi-hour job. - timeout-minutes: 300 + # A full contrib build took 16 minutes on the 4-vCPU runner; the margin covers a cold CMake dependency fetch. + timeout-minutes: 90 steps: - name: checkout uses: actions/checkout@v6 @@ -72,7 +81,8 @@ jobs: shell: pwsh env: ENABLE_CONTRIB: '1' - # -DPYTHON3_LIMITED_API=ON: one abi3 wheel for every CPython 3.x, as upstream ships. + # -DPYTHON3_LIMITED_API=ON: what upstream builds with. (The wheel still comes out tagged cp312, which is + # fine: 3.12 is the only supported interpreter on Windows ARM64.) # -DWITH_FFMPEG=OFF: OpenCV's ffmpeg wrapper DLL exists only for x86/x64; cv2.VideoCapture keeps the # Media Foundation backend, and the app decodes through imageio first anyway. # -DBUILD_opencv_rgbd=OFF: rgbd links the x86 intrinsic _tzcnt_u32 on ARM64 (opencv_contrib#3767). @@ -160,6 +170,8 @@ jobs: if-no-files-found: error publish: + # Dispatch only, see the header: a pull_request build must never overwrite assets the lockfile pins by hash. + if: ${{ github.event_name == 'workflow_dispatch' }} needs: [opencv, rust-wheels] runs-on: ubuntu-latest timeout-minutes: 20 @@ -185,6 +197,23 @@ jobs: python3 scripts/win_arm64_wheels/make_flat_index.py --repo "$GITHUB_REPOSITORY" --tag "$RELEASE_TAG" dist/*.whl > dist/index.html cat dist/index.html + - name: setup uv + uses: astral-sh/setup-uv@v8.1.0 + with: + version: ${{ env.UV_VERSION }} + + - name: verify the wheels resolve before anything is published + # The same wheel selection uv applies to the published page, run against the local directory first, so a bad + # build never replaces good assets. + run: | + for whl in dist/*.whl; do + name=$(basename "$whl"); pkg=${name%%-*}; rest=${name#*-}; ver=${rest%%-*} + echo "${pkg//_/-}==${ver}" >> reqs.txt + done + cat reqs.txt + uv pip compile reqs.txt --no-build --no-deps --python-version 3.12 --python-platform aarch64-pc-windows-msvc \ + --find-links dist/ + - name: upload release assets run: | if ! gh release view "$RELEASE_TAG" --repo "$GITHUB_REPOSITORY" >/dev/null 2>&1; then @@ -194,20 +223,10 @@ jobs: fi gh release upload "$RELEASE_TAG" --repo "$GITHUB_REPOSITORY" --clobber dist/*.whl dist/index.html - - name: setup uv - uses: astral-sh/setup-uv@v8.1.0 - with: - version: ${{ env.UV_VERSION }} - - name: verify the page resolves like the lock and the docs use it # Cross-platform resolution against the published page, exactly as `uv lock` (flat index) and # `uv pip install --find-links` (manual install) consume it. `--no-build` fails if any pin would # need an sdist, i.e. if a wheel is missing from the page or the page is not being served as HTML. run: | - for whl in dist/*.whl; do - name=$(basename "$whl"); pkg=${name%%-*}; rest=${name#*-}; ver=${rest%%-*} - echo "${pkg//_/-}==${ver}" >> reqs.txt - done - cat reqs.txt uv pip compile reqs.txt --no-build --no-deps --python-version 3.12 --python-platform aarch64-pc-windows-msvc \ --find-links "https://github.com/$GITHUB_REPOSITORY/releases/download/$RELEASE_TAG/index.html" diff --git a/.github/workflows/python-tests.yml b/.github/workflows/python-tests.yml index c43827d0731..9e9f61c35be 100644 --- a/.github/workflows/python-tests.yml +++ b/.github/workflows/python-tests.yml @@ -139,7 +139,9 @@ jobs: uses: astral-sh/setup-uv@v8.1.0 with: version: '0.11.28' # When updating this, make sure the version in launcher's package.json gets updated too. - enable-cache: true + # The ARM64 lane's torch wheel unpacks to several GB of binaries; cached per lock hash it would crowd the + # other lanes out of the repository's cache, and re-downloading it costs a couple of minutes. + enable-cache: ${{ matrix.platform != 'windows-arm64' }} python-version: ${{ matrix.uv-python || matrix.python-version }} - name: prepare the ARM64 runner diff --git a/docs/src/content/docs/features/Multi-User Mode/admin-guide.mdx b/docs/src/content/docs/features/Multi-User Mode/admin-guide.mdx index ebca75fe0a0..beb1fa73ace 100644 --- a/docs/src/content/docs/features/Multi-User Mode/admin-guide.mdx +++ b/docs/src/content/docs/features/Multi-User Mode/admin-guide.mdx @@ -575,10 +575,9 @@ sqlite3 databases/invokeai.db "PRAGMA journal_mode=WAL;" 3. Reset admin password (requires password hash): ```sql - -- Generate hash first using Python: - -- from passlib.context import CryptContext - -- pwd_context = CryptContext(schemes=["bcrypt"], deprecated="auto") - -- print(pwd_context.hash("NewPassword123")) + -- Generate hash first using Python (in the Invoke venv): + -- from invokeai.app.services.auth.password_utils import hash_password + -- print(hash_password("NewPassword123")) UPDATE users SET password_hash = '$2b$12$...' diff --git a/invokeai/app/services/image_index/projection.py b/invokeai/app/services/image_index/projection.py index 23043ca2a44..7852b6a6a4b 100644 --- a/invokeai/app/services/image_index/projection.py +++ b/invokeai/app/services/image_index/projection.py @@ -12,18 +12,30 @@ map labels a small gallery as all noise. """ +import functools import hashlib import json import logging import warnings -from typing import Optional +from typing import Any, Optional import numpy as np from invokeai.app.services.image_index.image_index_common import EMBEDDING_DTYPE, IndexedItem logger = logging.getLogger(__name__) -_umap_unavailable_logged = False + + +@functools.cache +def _umap_class() -> Optional[type[Any]]: + """umap-learn's UMAP, or None (logged once) where it is not installed.""" + try: + from umap import UMAP + except ImportError: + logger.warning("umap-learn is not installed; the image map falls back to a PCA projection.") + return None + return UMAP + DEFAULT_CLUSTER_EPS = 0.2 DEFAULT_CLUSTER_MIN_SAMPLES = 10 @@ -67,7 +79,6 @@ def compute_umap(embeddings: np.ndarray, seed: int = DEFAULT_UMAP_SEED) -> np.nd its Python), every size takes the PCA projection instead, so the map stays usable — less structured, but deterministic and dependency-free. """ - global _umap_unavailable_logged if embeddings.shape[0] == 0: return np.empty((0, 2), dtype=EMBEDDING_DTYPE) if embeddings.shape[0] == 1: @@ -75,12 +86,8 @@ def compute_umap(embeddings: np.ndarray, seed: int = DEFAULT_UMAP_SEED) -> np.nd if embeddings.shape[0] <= 3: return _pca_projection(embeddings) - try: - from umap import UMAP - except ImportError: - if not _umap_unavailable_logged: - logger.warning("umap-learn is not installed; the image map falls back to a PCA projection.") - _umap_unavailable_logged = True + UMAP = _umap_class() + if UMAP is None: return _pca_projection(embeddings) with warnings.catch_warnings(): diff --git a/invokeai/backend/model_manager/load/model_cache/torch_module_autocast/torch_module_autocast.py b/invokeai/backend/model_manager/load/model_cache/torch_module_autocast/torch_module_autocast.py index aa5b3692a1f..63d6608da81 100644 --- a/invokeai/backend/model_manager/load/model_cache/torch_module_autocast/torch_module_autocast.py +++ b/invokeai/backend/model_manager/load/model_cache/torch_module_autocast/torch_module_autocast.py @@ -61,7 +61,7 @@ AUTOCAST_MODULE_TYPE_MAPPING[InvokeLinear8bitLt] = CustomInvokeLinear8bitLt AUTOCAST_MODULE_TYPE_MAPPING[InvokeLinearNF4] = CustomInvokeLinearNF4 -except Exception: # bnb may import and then fail loading its native library (RuntimeError/OSError) +except (ImportError, OSError, RuntimeError): # bnb may import and then fail loading its native library pass diff --git a/invokeai/backend/model_manager/load/model_loaders/flux.py b/invokeai/backend/model_manager/load/model_loaders/flux.py index 346562e8772..41b3421123a 100644 --- a/invokeai/backend/model_manager/load/model_loaders/flux.py +++ b/invokeai/backend/model_manager/load/model_loaders/flux.py @@ -118,7 +118,7 @@ from invokeai.backend.quantization.bnb_nf4 import quantize_model_nf4 bnb_available = True -except Exception: # bnb may import and then fail loading its native library (RuntimeError/OSError) +except (ImportError, OSError, RuntimeError): # bnb may import and then fail loading its native library bnb_available = False app_config = get_config() diff --git a/invokeai/backend/patches/layers/param_shape_utils.py b/invokeai/backend/patches/layers/param_shape_utils.py index 66f82a60170..db992797e98 100644 --- a/invokeai/backend/patches/layers/param_shape_utils.py +++ b/invokeai/backend/patches/layers/param_shape_utils.py @@ -4,7 +4,7 @@ from bitsandbytes.nn.modules import Params4bit bnb_available: bool = True -except Exception: # bnb may import and then fail loading its native library (RuntimeError/OSError) +except (ImportError, OSError, RuntimeError): # bnb may import and then fail loading its native library bnb_available: bool = False diff --git a/scripts/check_platform_locks.py b/scripts/check_platform_locks.py index 3265ea498ed..0722e587f75 100644 --- a/scripts/check_platform_locks.py +++ b/scripts/check_platform_locks.py @@ -50,7 +50,9 @@ class Platform: python_versions: tuple[str, ...] | None = None # torch/torchvision must resolve from this registry (None: any registry with acceptable wheels). torch_registry: str | None = None - # Also check torch/torchvision with no extra selected, and walk the whole closure for wheel availability. + # Also check torch/torchvision with no extra selected (platforms whose torch does not come from an extra). + check_no_extra: bool = False + # Walk the whole closure for wheel availability. check_closure: bool = False # Packages allowed to be sdist-only in the closure (pure Python, built without a compiler). sdist_allowlist: frozenset[str] = field(default_factory=frozenset) @@ -86,6 +88,7 @@ class Platform: # The only supported interpreter there: PyWavelets and PyYAML ship win_arm64 wheels for 3.12+ only. python_versions=("3.12",), torch_registry=NVIDIA_WIN_ARM64_REGISTRY, + check_no_extra=True, check_closure=True, # imageio-ffmpeg's wheels exist only to carry an ffmpeg binary; the sdist builds a pure wheel and # the app uses the ffmpeg on PATH. @@ -163,17 +166,24 @@ def resolve(self, dep: dict[str, Any]) -> list[dict[str, Any]]: return candidates if len(candidates) == 1 else [] +def universes( + root: dict[str, Any], keys: dict[str, str], include_no_extra: bool +) -> list[tuple[str, str | None, list[dict[str, Any]]]]: + """(label, uv extra marker token, dependency edges) for each resolution universe to check.""" + base = root.get("dependencies", []) + result: list[tuple[str, str | None, list[dict[str, Any]]]] = [] + if include_no_extra: + result.append(("no extra", None, base)) + result += [(extra, keys[extra], base + root.get("optional-dependencies", {}).get(extra, [])) for extra in keys] + return result + + def check_torch( lock: Lock, root: dict[str, Any], platform: Platform, python_versions: list[str], keys: dict[str, str] ) -> list[str]: """torch/torchvision resolve, per extra (and with no extra where the platform asks), from acceptable wheels.""" problems: list[str] = [] - universes: list[tuple[str, str | None, list[dict[str, Any]]]] = [ - (extra, keys[extra], root.get("optional-dependencies", {}).get(extra, [])) for extra in keys - ] - if platform.check_closure: - universes.insert(0, ("no extra", None, root.get("dependencies", []))) - for label, key, deps in universes: + for label, key, deps in universes(root, keys, include_no_extra=platform.check_no_extra): for name in REQUIRED: for python_version in python_versions: env = env_for(platform, python_version, extra=key) @@ -207,6 +217,9 @@ def walk_closure( ) -> dict[tuple[str, Any, str], dict[str, Any]]: """Every lock package reachable from `edges` in environment `env`, keyed by (name, version, source).""" seen: dict[tuple[str, Any, str], dict[str, Any]] = {} + # A package's extras are walked per (package, extra), independently of whether the package itself was + # already reached through a plain edge -- `P` and then `P[x]` must still enqueue `x`'s dependencies. + seen_extras: set[tuple[tuple[str, Any, str], str]] = set() pending = list(edges) while pending: dep = pending.pop() @@ -214,12 +227,13 @@ def walk_closure( continue for package in lock.resolve(dep): ident = (package["name"], package.get("version"), str(package.get("source"))) - if ident in seen: - continue - seen[ident] = package - pending += package.get("dependencies", []) + if ident not in seen: + seen[ident] = package + pending += package.get("dependencies", []) for extra in dep.get("extra", []): - pending += package.get("optional-dependencies", {}).get(extra, []) + if (ident, extra) not in seen_extras: + seen_extras.add((ident, extra)) + pending += package.get("optional-dependencies", {}).get(extra, []) return seen @@ -228,10 +242,7 @@ def check_closure( ) -> list[str]: """Every package reachable on the platform (any single extra, or none) ships an installable wheel.""" problems: list[str] = [] - base = root.get("dependencies", []) - universes: list[tuple[str, str | None, list[dict[str, Any]]]] = [("no extra", None, base)] - universes += [(extra, keys[extra], base + root["optional-dependencies"][extra]) for extra in keys] - for label, key, deps in universes: + for label, key, deps in universes(root, keys, include_no_extra=True): seen = walk_closure(lock, deps, env_for(platform, python_version, extra=key)) missing = [ f"{name}=={version} from {(p.get('source') or {}).get('registry', '?')}" diff --git a/tests/app/services/image_index/test_projection.py b/tests/app/services/image_index/test_projection.py index bbda4133ffe..e42a6ee6420 100644 --- a/tests/app/services/image_index/test_projection.py +++ b/tests/app/services/image_index/test_projection.py @@ -236,9 +236,12 @@ def test_umap_missing_falls_back_to_pca(monkeypatch) -> None: from invokeai.app.services.image_index import projection monkeypatch.setitem(sys.modules, "umap", None) - monkeypatch.setattr(projection, "_umap_unavailable_logged", False) - embeddings = _blobs() - coords = compute_umap(embeddings) + projection._umap_class.cache_clear() + try: + embeddings = _blobs() + coords = compute_umap(embeddings) + finally: + projection._umap_class.cache_clear() assert coords.shape == (embeddings.shape[0], 2) assert coords.dtype == np.float32 assert np.isfinite(coords).all() diff --git a/tests/test_check_platform_locks.py b/tests/test_check_platform_locks.py index 7365a55a1da..2b29854d043 100644 --- a/tests/test_check_platform_locks.py +++ b/tests/test_check_platform_locks.py @@ -119,6 +119,7 @@ def make_lock( {dep("numpy")}, {dep("python-jose")}, {dep("imageio", extra=["ffmpeg"])}, + {dep("imageio")}, {(" " + dep(sdist_only) + ",") if sdist_only else ""} {dep("cryptography", "46.0.3", PYPI, WIN_ARM)}, {dep("cryptography", "49.0.0", PYPI, NOT_WIN_ARM)}, @@ -135,8 +136,9 @@ def make_lock( {package("numpy", "2.3.5", PYPI, [wheel("numpy", "2.3.5", "cp312-cp312-win_arm64", PYPI), wheel("numpy", "2.3.5", "cp312-cp312-manylinux_2_28_aarch64", PYPI)])} {package("python-jose", "3.5.0", PYPI, [wheel("python_jose", "3.5.0", "py3-none-any", PYPI)], deps=[dep("rsa")])} {package("rsa", "4.9", PYPI, [wheel("rsa", "4.9", transitive_tag, PYPI)])} -{package("imageio", "2.37.4", PYPI, [wheel("imageio", "2.37.4", "py3-none-any", PYPI)], deps=[dep("pillow")], extras={"ffmpeg": [dep("imageio-ffmpeg")]})} -{package("pillow", "12.2.0", PYPI, [wheel("pillow", "12.2.0", extra_dep_tag, PYPI)])} +{package("imageio", "2.37.4", PYPI, [wheel("imageio", "2.37.4", "py3-none-any", PYPI)], deps=[dep("pillow")], extras={"ffmpeg": [dep("imageio-ffmpeg"), dep("av")]})} +{package("pillow", "12.2.0", PYPI, [wheel("pillow", "12.2.0", "cp312-cp312-win_arm64", PYPI)])} +{package("av", "18.1.0", PYPI, [wheel("av", "18.1.0", extra_dep_tag, PYPI)])} {package("imageio-ffmpeg", "0.6.0", PYPI, [], sdist=True)} {package(sdist_only, "1.0", PYPI, [], sdist=True) if sdist_only else ""} {package("cryptography", "46.0.3", PYPI, [wheel("cryptography", "46.0.3", closure_tag, PYPI)])} @@ -187,7 +189,8 @@ def test_win_arm64_transitive_package_without_arm64_wheel_fails(tmp_path: Path): def test_win_arm64_package_reached_through_an_extra_without_arm64_wheel_fails(tmp_path: Path): - """`imageio[ffmpeg]`-style edges add the extra's dependencies to the closure.""" + """`imageio[ffmpeg]`-style edges add the extra's dependencies to the closure, also when the same package was + already reached through a plain edge (the fixture lists both, plain edge walked first).""" assert run(tmp_path, make_lock(extra_dep_tag="cp312-cp312-win_amd64"), "win_arm64") == 1 diff --git a/tests/test_imports.py b/tests/test_imports.py index 48889bf3dd8..4a07f1126f0 100644 --- a/tests/test_imports.py +++ b/tests/test_imports.py @@ -21,6 +21,8 @@ "invokeai.backend.image_util.normal_bae.nets.submodules.efficientnet_repo.hubconf", "invokeai.backend.quantization.bnb_nf4", "invokeai.backend.quantization.bnb_llm_int8", + # mediapipe has no Windows ARM64 build; this module is imported lazily by the face nodes. + "invokeai.backend.image_util.mediapipe_face.mediapipe_face_common", } From dac69106d98a6e984b50e0134c0ac5ee486cac04 Mon Sep 17 00:00:00 2001 From: Lincoln Stein Date: Mon, 14 Sep 2026 23:17:38 -0400 Subject: [PATCH 10/26] ci: smoke-import ARM64 wheels; check the test extra's closure The windows-arm64 lane imports the self-built wheels explicitly (tiktoken is never imported by the suite), and the platform lock checker walks the test extra the lane installs and reports edges the lock cannot resolve. Co-Authored-By: Claude Fable 5.1 Claude-Session: https://claude.ai/code/session_01NiaFTnYH9q9468Naf4PV3X --- .github/workflows/python-tests.yml | 5 +++++ scripts/check_platform_locks.py | 30 ++++++++++++++++++++++-------- tests/test_check_platform_locks.py | 17 +++++++++++++++++ 3 files changed, 44 insertions(+), 8 deletions(-) diff --git a/.github/workflows/python-tests.yml b/.github/workflows/python-tests.yml index 9e9f61c35be..e56681e5ec4 100644 --- a/.github/workflows/python-tests.yml +++ b/.github/workflows/python-tests.yml @@ -159,6 +159,11 @@ jobs: UV_INDEX: ${{ matrix.extra-index-url }} run: uv sync --no-progress --locked --extra test + - name: import the self-built and platform-specific wheels + if: ${{ matrix.platform == 'windows-arm64' && (steps.changed-files.outputs.python_any_changed == 'true' || inputs.always_run == true) }} + # The suite never imports tiktoken, so a broken self-built wheel would otherwise pass unnoticed. + run: uv run --no-sync python -c "import blake3, cv2, onnxruntime, tiktoken, torch, torchvision; print(torch.__version__, torchvision.__version__, cv2.__version__, 'cuda available:', torch.cuda.is_available())" + - name: run pytest if: ${{ steps.changed-files.outputs.python_any_changed == 'true' || inputs.always_run == true }} # `logical`, not `auto`: xdist's `auto` asks psutil for *physical* cores, which is half diff --git a/scripts/check_platform_locks.py b/scripts/check_platform_locks.py index 0722e587f75..f08ddbb14cf 100644 --- a/scripts/check_platform_locks.py +++ b/scripts/check_platform_locks.py @@ -54,6 +54,8 @@ class Platform: check_no_extra: bool = False # Walk the whole closure for wheel availability. check_closure: bool = False + # Non-conflicting extras whose closure is walked too (what the platform's CI lane installs). + closure_extras: tuple[str, ...] = () # Packages allowed to be sdist-only in the closure (pure Python, built without a compiler). sdist_allowlist: frozenset[str] = field(default_factory=frozenset) @@ -90,9 +92,10 @@ class Platform: torch_registry=NVIDIA_WIN_ARM64_REGISTRY, check_no_extra=True, check_closure=True, + closure_extras=("test",), # imageio-ffmpeg's wheels exist only to carry an ffmpeg binary; the sdist builds a pure wheel and - # the app uses the ffmpeg on PATH. - sdist_allowlist=frozenset({"imageio-ffmpeg"}), + # the app uses the ffmpeg on PATH. requests-testadapter (test extra) is a pure-Python sdist. + sdist_allowlist=frozenset({"imageio-ffmpeg", "requests-testadapter"}), ), } @@ -214,9 +217,11 @@ def check_torch( def walk_closure( lock: Lock, edges: list[dict[str, Any]], env: dict[str, str] -) -> dict[tuple[str, Any, str], dict[str, Any]]: - """Every lock package reachable from `edges` in environment `env`, keyed by (name, version, source).""" +) -> tuple[dict[tuple[str, Any, str], dict[str, Any]], list[str]]: + """Every lock package reachable from `edges` in environment `env`, keyed by (name, version, source), plus + the edges that name no package in the lock (a corrupt lock would otherwise shrink the closure silently).""" seen: dict[tuple[str, Any, str], dict[str, Any]] = {} + unresolved: list[str] = [] # A package's extras are walked per (package, extra), independently of whether the package itself was # already reached through a plain edge -- `P` and then `P[x]` must still enqueue `x`'s dependencies. seen_extras: set[tuple[tuple[str, Any, str], str]] = set() @@ -225,7 +230,10 @@ def walk_closure( dep = pending.pop() if not matches(dep.get("marker"), env): continue - for package in lock.resolve(dep): + packages = lock.resolve(dep) + if not packages: + unresolved.append(f"{dep['name']}=={dep.get('version', '?')}") + for package in packages: ident = (package["name"], package.get("version"), str(package.get("source"))) if ident not in seen: seen[ident] = package @@ -234,7 +242,7 @@ def walk_closure( if (ident, extra) not in seen_extras: seen_extras.add((ident, extra)) pending += package.get("optional-dependencies", {}).get(extra, []) - return seen + return seen, unresolved def check_closure( @@ -242,8 +250,14 @@ def check_closure( ) -> list[str]: """Every package reachable on the platform (any single extra, or none) ships an installable wheel.""" problems: list[str] = [] - for label, key, deps in universes(root, keys, include_no_extra=True): - seen = walk_closure(lock, deps, env_for(platform, python_version, extra=key)) + base = root.get("dependencies", []) + checked = universes(root, keys, include_no_extra=True) + checked += [ + (extra, None, base + root.get("optional-dependencies", {}).get(extra, [])) for extra in platform.closure_extras + ] + for label, key, deps in checked: + seen, unresolved = walk_closure(lock, deps, env_for(platform, python_version, extra=key)) + problems += [f" [{label}] py{python_version}: dependency {edge} is not in uv.lock" for edge in unresolved] missing = [ f"{name}=={version} from {(p.get('source') or {}).get('registry', '?')}" for (name, version, _), p in sorted(seen.items()) diff --git a/tests/test_check_platform_locks.py b/tests/test_check_platform_locks.py index 2b29854d043..57c22fb40ea 100644 --- a/tests/test_check_platform_locks.py +++ b/tests/test_check_platform_locks.py @@ -89,6 +89,8 @@ def make_lock( win_arm_torch_tag: str = "cp312-cp312-win_arm64", aarch64_torchvision_tag: str = "cp312-cp312-manylinux_2_28_aarch64", closure_tag: str = "cp312-abi3-win_arm64", + test_extra_tag: str = "cp312-cp312-win_arm64", + unresolved_edge: bool = False, transitive_tag: str = "cp312-cp312-win_arm64", extra_dep_tag: str = "cp312-cp312-win_arm64", sdist_only: str | None = None, @@ -133,6 +135,11 @@ def make_lock( cpu = [ {chr(10).join(" " + d + "," for d in base_torch)} ] +test = [ + {dep("pytest-timeout")}, +{(" " + dep("ghost", "9.9", PYPI) + ",") if unresolved_edge else ""} +] +{package("pytest-timeout", "2.4.0", PYPI, [wheel("pytest_timeout", "2.4.0", test_extra_tag, PYPI)])} {package("numpy", "2.3.5", PYPI, [wheel("numpy", "2.3.5", "cp312-cp312-win_arm64", PYPI), wheel("numpy", "2.3.5", "cp312-cp312-manylinux_2_28_aarch64", PYPI)])} {package("python-jose", "3.5.0", PYPI, [wheel("python_jose", "3.5.0", "py3-none-any", PYPI)], deps=[dep("rsa")])} {package("rsa", "4.9", PYPI, [wheel("rsa", "4.9", transitive_tag, PYPI)])} @@ -194,6 +201,16 @@ def test_win_arm64_package_reached_through_an_extra_without_arm64_wheel_fails(tm assert run(tmp_path, make_lock(extra_dep_tag="cp312-cp312-win_amd64"), "win_arm64") == 1 +def test_win_arm64_test_extra_closure_is_checked(tmp_path: Path): + """The CI lane installs `--extra test`, so a test-only dependency without an ARM64 wheel breaks it.""" + assert run(tmp_path, make_lock(test_extra_tag="cp312-cp312-win_amd64"), "win_arm64") == 1 + + +def test_win_arm64_edge_naming_no_lock_package_fails(tmp_path: Path): + """An edge the lock cannot resolve must be reported, not dropped from the closure.""" + assert run(tmp_path, make_lock(unresolved_edge=True), "win_arm64") == 1 + + def test_win_arm64_sdist_only_package_fails_unless_allow_listed(tmp_path: Path): """imageio-ffmpeg is allow-listed (pure sdist); any other wheel-less package is a build on the user's machine.""" assert run(tmp_path, make_lock(), "win_arm64") == 0 From 69a77535ceacce7d0af50c998bf668a0e284cbad Mon Sep 17 00:00:00 2001 From: Lincoln Stein Date: Mon, 14 Sep 2026 23:52:25 -0400 Subject: [PATCH 11/26] fix: survive a CUDA torch build without a device on Windows ARM64 NVIDIA's ARM64 torch dies with an access violation in torch.cuda.is_current_stream_capturing() when no CUDA device is present, which transformers calls on every forward pass. Answer False there, at app startup and in the test session. Also split the SDPA pass-through test: torch 2.14 rejects an explicit mask together with is_causal=True. Co-Authored-By: Claude Fable 5.1 Claude-Session: https://claude.ai/code/session_01NiaFTnYH9q9468Naf4PV3X --- invokeai/app/util/startup_utils.py | 4 +- invokeai/backend/util/devices.py | 25 +++++++++++++ tests/backend/util/test_devices.py | 37 +++++++++++++++++++ .../util/test_rocm_sdpa_head_dim_guard.py | 7 +++- tests/conftest.py | 5 +++ 5 files changed, 75 insertions(+), 3 deletions(-) diff --git a/invokeai/app/util/startup_utils.py b/invokeai/app/util/startup_utils.py index f21d58582d7..cbe2a62cdbc 100644 --- a/invokeai/app/util/startup_utils.py +++ b/invokeai/app/util/startup_utils.py @@ -174,9 +174,11 @@ def apply_monkeypatches() -> None: # from_single_file) invoke torch.cuda.empty_cache directly, convoying a busy peer GPU on # multi-GPU installs. Wrap the torch entry point so every Python caller inherits the # skip-while-a-peer-generates policy. - from invokeai.backend.util.devices import install_peer_aware_empty_cache + from invokeai.backend.util.devices import install_cuda_stream_capture_shim, install_peer_aware_empty_cache install_peer_aware_empty_cache() + # NVIDIA's Windows ARM64 torch crashes in torch.cuda.is_current_stream_capturing() without a device. + install_cuda_stream_capture_shim() # ROCm's fused SDPA kernels return wrong output for heads wider than 256 (the VAE mid-block # attention), turning decodes into noise or black images. Route those calls to the math kernel. diff --git a/invokeai/backend/util/devices.py b/invokeai/backend/util/devices.py index 7a28973344c..761996d9f22 100644 --- a/invokeai/backend/util/devices.py +++ b/invokeai/backend/util/devices.py @@ -505,6 +505,31 @@ def choose_anima_inference_dtype(cls, device: Optional[torch.device] = None) -> _PEER_AWARE_SENTINEL = "_invokeai_peer_aware" +_STREAM_CAPTURE_SHIM_SENTINEL = "_invokeai_no_device_shim" + + +def install_cuda_stream_capture_shim() -> None: + """On a CUDA torch build with no usable device, make ``torch.cuda.is_current_stream_capturing()`` answer False. + + Every torch build raises there, except NVIDIA's out-of-tree CUDA 13.4 build for Windows ARM64, which dies + with an access violation. transformers calls it on every forward pass (``masking_utils`` via ``is_tracing``) + inside a try/except that expects the raise, so on a Windows ARM64 machine without an NVIDIA GPU any text + encoder or LLM forward would take the process down. Without a device there is no stream to capture, and + False is what torch answers on every other build once its CUDA init fails. Idempotent; a no-op wherever + CUDA works or the build has no CUDA at all. + """ + if torch.version.cuda is None or torch.cuda.is_available(): + return + if getattr(torch.cuda.is_current_stream_capturing, _STREAM_CAPTURE_SHIM_SENTINEL, False): + return + + def is_current_stream_capturing() -> bool: + return False + + setattr(is_current_stream_capturing, _STREAM_CAPTURE_SHIM_SENTINEL, True) + torch.cuda.is_current_stream_capturing = is_current_stream_capturing + + def install_peer_aware_empty_cache() -> None: """Rebind ``torch.cuda.empty_cache`` itself with the peer-aware guard (idempotent). diff --git a/tests/backend/util/test_devices.py b/tests/backend/util/test_devices.py index b4716084ae5..c5ad7634a45 100644 --- a/tests/backend/util/test_devices.py +++ b/tests/backend/util/test_devices.py @@ -828,3 +828,40 @@ def test_disable_conv_benchmark_empty_cache_flips_torch_flag(): assert getter() is False finally: setter(original) + + +class TestCudaStreamCaptureShim: + """NVIDIA's Windows ARM64 torch crashes in is_current_stream_capturing() without a device; the shim answers False + there and stays out of the way everywhere else.""" + + @staticmethod + def _cuda_build_without_device(monkeypatch) -> None: + monkeypatch.setattr(torch.version, "cuda", "13.4") + monkeypatch.setattr(torch.cuda, "is_available", lambda: False) + # Restore the original function after the test, whatever the shim did. + monkeypatch.setattr(torch.cuda, "is_current_stream_capturing", torch.cuda.is_current_stream_capturing) + + def test_answers_false_without_a_device_and_installs_once(self, monkeypatch): + from invokeai.backend.util.devices import install_cuda_stream_capture_shim + + self._cuda_build_without_device(monkeypatch) + install_cuda_stream_capture_shim() + shim = torch.cuda.is_current_stream_capturing + assert shim() is False + install_cuda_stream_capture_shim() + assert torch.cuda.is_current_stream_capturing is shim, "a second install must not wrap the shim" + + def test_leaves_torch_alone_where_cuda_works_or_is_absent(self, monkeypatch): + from invokeai.backend.util.devices import install_cuda_stream_capture_shim + + original = torch.cuda.is_current_stream_capturing + monkeypatch.setattr(torch.cuda, "is_current_stream_capturing", original) + monkeypatch.setattr(torch.version, "cuda", None) + monkeypatch.setattr(torch.cuda, "is_available", lambda: False) + install_cuda_stream_capture_shim() + assert torch.cuda.is_current_stream_capturing is original + + monkeypatch.setattr(torch.version, "cuda", "13.4") + monkeypatch.setattr(torch.cuda, "is_available", lambda: True) + install_cuda_stream_capture_shim() + assert torch.cuda.is_current_stream_capturing is original diff --git a/tests/backend/util/test_rocm_sdpa_head_dim_guard.py b/tests/backend/util/test_rocm_sdpa_head_dim_guard.py index 6dd88058799..377c6c09d86 100644 --- a/tests/backend/util/test_rocm_sdpa_head_dim_guard.py +++ b/tests/backend/util/test_rocm_sdpa_head_dim_guard.py @@ -110,9 +110,12 @@ def test_narrow_heads_pass_through_with_every_argument(self, monkeypatch): q, k, v = (torch.randn(1, 2, 8, NARROW) for _ in range(3)) mask = torch.ones(8, 8, dtype=torch.bool) - F.scaled_dot_product_attention(q, k, v, mask, 0.0, True, scale=0.25) + # An explicit mask and is_causal=True are mutually exclusive from torch 2.14 on, so the two + # arguments are exercised in separate calls. + F.scaled_dot_product_attention(q, k, v, mask, 0.0, False, scale=0.25) + F.scaled_dot_product_attention(q, k, v, None, 0.0, True, scale=0.25) - assert calls == [(NARROW, mask, 0.0, True, 0.25, False)] + assert calls == [(NARROW, mask, 0.0, False, 0.25, False), (NARROW, None, 0.0, True, 0.25, False)] def test_wide_heads_refuse_arguments_the_math_call_cannot_forward(self, monkeypatch): _install_as_if_rocm(monkeypatch) diff --git a/tests/conftest.py b/tests/conftest.py index d54e098aadb..b4fb9858310 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -36,11 +36,16 @@ from invokeai.app.services.video_records.video_records_sqlite import SqliteVideoRecordStorage from invokeai.app.services.wildcard_records.wildcard_records_sqlite import SqliteWildcardRecordsStorage from invokeai.app.services.workflow_records.workflow_records_sqlite import SqliteWorkflowRecordsStorage +from invokeai.backend.util.devices import install_cuda_stream_capture_shim from invokeai.backend.util.logging import InvokeAILogger from tests.backend.model_manager.model_manager_fixtures import * # noqa: F403 from tests.fixtures.sqlite_database import create_mock_sqlite_database # noqa: F401 from tests.test_nodes import TestEventService +# The app installs this from apply_monkeypatches(); the suite runs real transformers forwards on the CPU, so on a +# CUDA torch build without a device (NVIDIA's Windows ARM64 build on a GPU-less runner) it needs the same shim. +install_cuda_stream_capture_shim() + @pytest.fixture(autouse=True) def _clear_deferred_empty_cache(): From f2893c24743c37d4f9cd3e8dc52c4b79fec7a6bb Mon Sep 17 00:00:00 2001 From: Lincoln Stein Date: Tue, 15 Sep 2026 00:11:56 -0400 Subject: [PATCH 12/26] test: make two tests hold on Windows ARM64 (numpy 2, native platform) Co-Authored-By: Claude Fable 5.1 Claude-Session: https://claude.ai/code/session_01NiaFTnYH9q9468Naf4PV3X --- tests/app/invocations/test_video_frame_extract.py | 3 ++- tests/backend/image_util/test_mediapipe_face_gate.py | 5 ++++- 2 files changed, 6 insertions(+), 2 deletions(-) diff --git a/tests/app/invocations/test_video_frame_extract.py b/tests/app/invocations/test_video_frame_extract.py index 7c40b2a74f6..6bd22ca2478 100644 --- a/tests/app/invocations/test_video_frame_extract.py +++ b/tests/app/invocations/test_video_frame_extract.py @@ -20,7 +20,8 @@ def _write_mp4(tmp_path, n_frames: int): """Encode a tiny synthetic MP4 with exactly ``n_frames`` frames at 8 fps.""" path = tmp_path / "synth.mp4" - frames = [np.full((32, 32, 3), 64 + i * 8, dtype=np.uint8) for i in range(n_frames)] + # Wrap explicitly: numpy 2 refuses to cast 256 into uint8 (numpy 1 wrapped it silently). + frames = [np.full((32, 32, 3), (64 + i * 8) % 256, dtype=np.uint8) for i in range(n_frames)] iio.imwrite(path, frames, plugin="FFMPEG", codec="libx264", fps=8.0, macro_block_size=1) return path diff --git a/tests/backend/image_util/test_mediapipe_face_gate.py b/tests/backend/image_util/test_mediapipe_face_gate.py index 412b238a288..1385ea7c0fb 100644 --- a/tests/backend/image_util/test_mediapipe_face_gate.py +++ b/tests/backend/image_util/test_mediapipe_face_gate.py @@ -48,9 +48,12 @@ def test_face_box_mask_names_the_platform_on_windows_arm64(no_mediapipe, monkeyp assert str(excinfo.value) == MEDIAPIPE_UNAVAILABLE_MESSAGE -def test_import_failure_elsewhere_carries_the_original_error(no_mediapipe): +def test_import_failure_elsewhere_carries_the_original_error(no_mediapipe, monkeypatch): # On platforms that do have mediapipe, an import failure is a broken install, not the platform: the # user must see the real cause rather than the Windows ARM64 explanation. + from invokeai.backend.image_util import mediapipe_face + + monkeypatch.setattr(mediapipe_face.platform, "machine", lambda: "AMD64") with pytest.raises(RuntimeError, match=r"MediaPipe failed to import.*mediapipe") as excinfo: detect_faces(_image()) assert "Windows ARM64" not in str(excinfo.value) From 3752285010171da6288fc282120442a2739624b6 Mon Sep 17 00:00:00 2001 From: Lincoln Stein Date: Wed, 14 Oct 2026 23:33:03 -0400 Subject: [PATCH 13/26] fix(ci): never replace published win_arm64 wheels; host them in this repo The publish job requires a new release tag, uploads only missing assets, skips identical ones and fails on any difference; wheels move to invoke-ai/InvokeAI (byte-identical, lock changes URLs only). The platform lock check again requires a per-extra aarch64 torch pin and prints each package once. --- .github/AGENTS.md | 8 ++ .github/workflows/build-win-arm64-wheels.yml | 45 ++++++++--- docs/src/content/docs/start-here/manual.mdx | 4 +- pyproject.toml | 5 +- scripts/check_platform_locks.py | 39 +++++++--- .../win_arm64_wheels/plan_release_upload.py | 78 +++++++++++++++++++ tests/test_check_platform_locks.py | 36 +++++++-- tests/test_win_arm64_wheel_publish.py | 77 ++++++++++++++++++ uv.lock | 26 +++---- 9 files changed, 273 insertions(+), 45 deletions(-) create mode 100644 scripts/win_arm64_wheels/plan_release_upload.py create mode 100644 tests/test_win_arm64_wheel_publish.py diff --git a/.github/AGENTS.md b/.github/AGENTS.md index 976b2b0c1ac..44ffd213ca0 100644 --- a/.github/AGENTS.md +++ b/.github/AGENTS.md @@ -9,3 +9,11 @@ - Match hooks to CI's Ruff version/configuration; validation must not rewrite formatting. - Follow [the PR template](pull_request_template.md); keep summaries short and omit subagent counts, tiers, and process narration. - Workflow changes do not configure hosted branch protection or install local hooks; verify before claiming either. + +## Windows ARM64 lock gate + +`uv lock` requires a win_arm64 resolution (`required-environments`), and `scripts/check_platform_locks.py` fails when any package an install pulls in on Windows ARM64 has no win_arm64 wheel. The check blocks by design: as a warning it would let a lock that fails mid-install on every ARM64 machine reach a release. When a dependency bump trips either: + +- Pin the last version that has a win_arm64 wheel behind `; sys_platform == 'win32' and platform_machine == 'ARM64'`, beside the unqualified requirement narrowed with the opposite marker. +- If the package is optional, drop it on Windows ARM64 by marker, make its import site degrade with a clear message there, and list the difference in `system-requirements.mdx`. +- Otherwise build it in `build-win-arm64-wheels.yml`. Dispatch with a **new** `release_tag` (published tags are pinned by hash and never rewritten), then point the `invoke-win-arm64-wheels` index URL and the docs' `--find-links` at that tag, bump the matching pins, and re-lock. Bumping an already self-built wheel works the same way. diff --git a/.github/workflows/build-win-arm64-wheels.yml b/.github/workflows/build-win-arm64-wheels.yml index ea62b89d3c8..9b5ee829909 100644 --- a/.github/workflows/build-win-arm64-wheels.yml +++ b/.github/workflows/build-win-arm64-wheels.yml @@ -7,11 +7,16 @@ # once it is on the default branch, and a change to the recipe is exactly when a build should be proven) but # never publish them: the builds are not byte-reproducible, and the lockfile pins the published assets by hash, # so re-uploading over a tag would break every ARM64 install and `uv lock --locked` until the next re-lock. -# Publishing is a deliberate act: dispatch the workflow with a NEW release tag, then bump the tag in -# pyproject.toml's `invoke-win-arm64-wheels` index together with the matching `; sys_platform == 'win32' and -# platform_machine == 'ARM64'` pins and re-lock. Tags are immutable in practice: every tagged Invoke release -# locks the assets of the tag its pyproject named, so overwriting a tag breaks those releases' installs. -# `--clobber` below only lets an interrupted upload of the same build be completed. +# Publishing is a deliberate act: dispatch the workflow with a NEW release tag (the input has no default), then +# bump the tag in pyproject.toml's `invoke-win-arm64-wheels` index together with the matching `; sys_platform == +# 'win32' and platform_machine == 'ARM64'` pins and re-lock. Tags are immutable: every tagged Invoke release +# locks the assets of the tag its pyproject named, so replacing an asset breaks those releases' installs. The +# publish job never replaces one (scripts/win_arm64_wheels/plan_release_upload.py): it uploads only assets the +# release lacks, skips ones already published with identical contents (so "Re-run failed jobs", which reuses this +# run's build artifacts, can finish an interrupted upload), and fails on any other difference -- which a new +# dispatch against a published tag always is, because the builds differ. +# The publish job runs in the `win-arm64-wheels` environment; maintainers should give that environment required +# reviewers in the repository settings so a dispatch cannot publish without approval. name: build-win-arm64-wheels on: @@ -22,9 +27,9 @@ on: workflow_dispatch: inputs: release_tag: - description: Release tag that receives the wheels and index.html (created if missing) + description: NEW release tag that receives the wheels and index.html (a published tag is never overwritten) type: string - default: win-arm64-wheels-v1 + required: true opencv_python_ref: description: opencv-python git tag to build (the tag number is the last component of the version, e.g. 86 -> 4.11.0.86) type: string @@ -38,6 +43,9 @@ on: type: string default: 0.13.0 +permissions: + contents: read + # Two runs must not race on the same release tag. concurrency: group: build-win-arm64-wheels-${{ inputs.release_tag || github.event.pull_request.number || github.run_id }} @@ -46,8 +54,9 @@ concurrency: env: # Keep in step with python-tests.yml and uv-lock-checks.yml. UV_VERSION: '0.11.28' - # Dispatch inputs, with the same defaults for pull_request runs. - RELEASE_TAG: ${{ inputs.release_tag || 'win-arm64-wheels-v1' }} + # Dispatch inputs, with the same defaults for pull_request runs. The tag is only a placeholder there: pull + # request runs never publish. + RELEASE_TAG: ${{ inputs.release_tag || 'pull-request-build' }} OPENCV_PYTHON_REF: ${{ inputs.opencv_python_ref || '86' }} # uv installs an x86_64 CPython on Windows ARM64 unless the request names the architecture. The # wheels must be built by, and are smoke-tested with, the native interpreter. @@ -175,6 +184,7 @@ jobs: needs: [opencv, rust-wheels] runs-on: ubuntu-latest timeout-minutes: 20 + environment: win-arm64-wheels permissions: contents: write env: @@ -215,13 +225,26 @@ jobs: --find-links dist/ - name: upload release assets + # Never --clobber: see the header. The plan fails the job before anything is uploaded if the release + # already holds different contents under any of these names. run: | - if ! gh release view "$RELEASE_TAG" --repo "$GITHUB_REPOSITORY" >/dev/null 2>&1; then + if gh release view "$RELEASE_TAG" --repo "$GITHUB_REPOSITORY" >/dev/null 2>&1; then + release_exists=true + gh api "repos/$GITHUB_REPOSITORY/releases/tags/$RELEASE_TAG" > release.json + else + release_exists=false + echo '{"assets": []}' > release.json + fi + python3 scripts/win_arm64_wheels/plan_release_upload.py release.json dist/*.whl dist/index.html > upload.txt + if [ "$release_exists" = false ]; then gh release create "$RELEASE_TAG" --repo "$GITHUB_REPOSITORY" --latest=false \ --title "Windows ARM64 wheels ($RELEASE_TAG)" \ --notes "Self-built win_arm64 wheels consumed by pyproject.toml's invoke-win-arm64-wheels index. Built by the build-win-arm64-wheels workflow; not a release of Invoke itself." fi - gh release upload "$RELEASE_TAG" --repo "$GITHUB_REPOSITORY" --clobber dist/*.whl dist/index.html + if [ -s upload.txt ]; then + mapfile -t files < upload.txt + gh release upload "$RELEASE_TAG" --repo "$GITHUB_REPOSITORY" "${files[@]}" + fi - name: verify the page resolves like the lock and the docs use it # Cross-platform resolution against the published page, exactly as `uv lock` (flat index) and diff --git a/docs/src/content/docs/start-here/manual.mdx b/docs/src/content/docs/start-here/manual.mdx index 6e898e1bca8..99b04565ee9 100644 --- a/docs/src/content/docs/start-here/manual.mdx +++ b/docs/src/content/docs/start-here/manual.mdx @@ -131,7 +131,7 @@ The following commands vary depending on the version of Invoke being installed a Do not use a torch backend. torch comes from NVIDIA's own index, and three packages that have no ARM64 build on PyPI (OpenCV, blake3, tiktoken) come from wheels Invoke publishes. Use these two options instead of `--torch-backend`: ```sh - --index https://pypi.nvidia.com/nvtorch_oot/ --find-links https://github.com/invoke-ai/InvokeAI-7/releases/download/win-arm64-wheels-v1/index.html + --index https://pypi.nvidia.com/nvtorch_oot/ --find-links https://github.com/invoke-ai/InvokeAI/releases/download/win-arm64-wheels-v1/index.html ``` With or without an NVIDIA GPU: this is the only torch build for Windows ARM64. See the [system requirements](../system-requirements#windows-on-arm64-rtx-spark) for the platform's feature differences. @@ -204,7 +204,7 @@ The following commands vary depending on the version of Invoke being installed a ```sh - uv pip install == --python cpython-3.12-windows-aarch64-none --python-preference only-managed --index https://pypi.nvidia.com/nvtorch_oot/ --find-links https://github.com/invoke-ai/InvokeAI-7/releases/download/win-arm64-wheels-v1/index.html --force-reinstall + uv pip install == --python cpython-3.12-windows-aarch64-none --python-preference only-managed --index https://pypi.nvidia.com/nvtorch_oot/ --find-links https://github.com/invoke-ai/InvokeAI/releases/download/win-arm64-wheels-v1/index.html --force-reinstall ``` diff --git a/pyproject.toml b/pyproject.toml index b5c2c81c582..3f29db142a3 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -320,7 +320,8 @@ dependencies = [ # Driver for running the application database on MySQL or MariaDB instead of SQLite. "mysql" = ["pymysql>=1.2.3,<2"] "onnx" = ["onnxruntime"] -# Neither GPU build of onnxruntime has win_arm64 wheels; `required-environments` below rejects the extras there. +# Neither GPU build of onnxruntime has win_arm64 wheels; the markers drop the package there, so on Windows ARM64 +# these extras install nothing. "onnx-cuda" = ["onnxruntime-gpu; (sys_platform != 'win32' or platform_machine != 'ARM64')"] "onnx-directml" = ["onnxruntime-directml; (sys_platform != 'win32' or platform_machine != 'ARM64')"] "dist" = ["pip-tools", "pipdeptree", "twine"] @@ -570,7 +571,7 @@ explicit = true # ARM64 pins of the packages it serves. [[tool.uv.index]] name = "invoke-win-arm64-wheels" -url = "https://github.com/invoke-ai/InvokeAI-7/releases/download/win-arm64-wheels-v1/index.html" +url = "https://github.com/invoke-ai/InvokeAI/releases/download/win-arm64-wheels-v1/index.html" format = "flat" explicit = true diff --git a/scripts/check_platform_locks.py b/scripts/check_platform_locks.py index 29f3ec17d9d..d971183f265 100644 --- a/scripts/check_platform_locks.py +++ b/scripts/check_platform_locks.py @@ -1,4 +1,4 @@ -"""Assert that `uv.lock` gives the platforms no test job installs on an installable torch stack. +"""Assert that `uv.lock` gives the platforms the x64 test jobs cannot vouch for an installable torch stack. Two platforms are covered: @@ -7,13 +7,17 @@ `tool.uv.environments`, the `[tool.uv.sources]` platform markers, and the aarch64 fallback pins in each torch extra. Break the sources markers and `uv lock` fails loudly, but break either of the other two and the lockfile simply stops mentioning torch on aarch64 while `uv lock --locked` stays green -- which is how - aarch64 support was silently lost once before, when a ROCm bump narrowed `tool.uv.environments`. + aarch64 support was silently lost once before, when a ROCm bump narrowed `tool.uv.environments`. No CI job + installs on aarch64, so this check is its only coverage. Each extra must carry its own aarch64 torch edge: + the base dependencies also resolve a torch there today, but that is incidental to how uv forks the + resolution, so it must not be what keeps an extra installable. - win32/ARM64 (Windows on ARM, NVIDIA RTX Spark). torch and torchvision must come from NVIDIA's out-of-tree index with `win_arm64` wheels whichever extra is selected, and -- because most of the platform's wheel gaps are papered over with version forks in `pyproject.toml` rather than enforced by uv -- every package in the platform's dependency closure must ship a `win_arm64` (or pure) wheel. uv's `required-environments` only enforces that for packages without an sdist; a package with an sdist and - no ARM64 wheel (cryptography 49, say) locks fine and fails at install time on the user's machine. + no ARM64 wheel locks fine and fails at install time on the user's machine. The windows-arm64 test job + installs only the `test` extra; this check covers every torch extra and the install with none. So assert against the lockfile itself, which is the artifact users actually install from. @@ -52,6 +56,8 @@ class Platform: torch_registry: str | None = None # Also check torch/torchvision with no extra selected (platforms whose torch does not come from an extra). check_no_extra: bool = False + # Count the base dependencies' torch edges toward each extra's torch (False: the extra must carry its own). + torch_from_base: bool = True # Walk the whole closure for wheel availability. check_closure: bool = False # Non-conflicting extras whose closure is walked too (what the platform's CI lane installs). @@ -74,6 +80,7 @@ class Platform: }, # Only linux aarch64 counts -- macOS arm64 wheels (`macosx_11_0_arm64`) are a different platform. accepts_tag=lambda tag: "aarch64" in tag.platform, + torch_from_base=False, ), "win_arm64": Platform( name="win32/ARM64", @@ -174,14 +181,20 @@ def resolve(self, dep: dict[str, Any]) -> list[dict[str, Any]]: def universes( - root: dict[str, Any], keys: dict[str, str], include_no_extra: bool + root: dict[str, Any], keys: dict[str, str], include_no_extra: bool, include_base: bool = True ) -> list[tuple[str, str | None, list[dict[str, Any]]]]: - """(label, uv extra marker token, dependency edges) for each resolution universe to check.""" + """(label, uv extra marker token, dependency edges) for each resolution universe to check. + + With `include_base` False, an extra's universe holds only the extra's own edges. + """ base = root.get("dependencies", []) + extra_base = base if include_base else [] result: list[tuple[str, str | None, list[dict[str, Any]]]] = [] if include_no_extra: result.append(("no extra", None, base)) - result += [(extra, keys[extra], base + root.get("optional-dependencies", {}).get(extra, [])) for extra in keys] + result += [ + (extra, keys[extra], extra_base + root.get("optional-dependencies", {}).get(extra, [])) for extra in keys + ] return result @@ -190,7 +203,8 @@ def check_torch( ) -> list[str]: """torch/torchvision resolve, per extra (and with no extra where the platform asks), from acceptable wheels.""" problems: list[str] = [] - for label, key, deps in universes(root, keys, include_no_extra=platform.check_no_extra): + checked = universes(root, keys, include_no_extra=platform.check_no_extra, include_base=platform.torch_from_base) + for label, key, deps in checked: for name in REQUIRED: for python_version in python_versions: env = env_for(platform, python_version, extra=key) @@ -198,7 +212,10 @@ def check_torch( if not resolved: problems.append(f" [{label}] py{python_version}: no {name} resolves on {platform.name}") continue - # uv shouldn't emit overlapping markers, but if it ever does, check every match. + # The base and the extra each carry an edge to the same package wherever the extra pins what the + # base already resolves, so the matches are checked per package, not per edge. Distinct packages + # (overlapping markers, which uv shouldn't emit) are each checked. + reported: set[tuple[str, Any, str]] = set() for dep in resolved: packages = lock.resolve(dep) version = dep.get("version") or (packages[0].get("version") if packages else "?") @@ -206,6 +223,10 @@ def check_torch( problems.append(f" [{label}] py{python_version}: {name}=={version} not in uv.lock") continue for package in packages: + ident = (package["name"], package.get("version"), str(package.get("source"))) + if ident in reported: + continue + reported.add(ident) registry = (package.get("source") or {}).get("registry", "?") where = f"{name}=={package.get('version')} from {registry}" if platform.torch_registry is not None and registry != platform.torch_registry: @@ -327,7 +348,7 @@ def check_platform(lock: Lock, key: str) -> int: def main(argv: list[str] | None = None) -> int: - parser = argparse.ArgumentParser(description="Check uv.lock for platforms no test job installs on.") + parser = argparse.ArgumentParser(description="Check uv.lock for platforms the x64 test jobs cannot vouch for.") parser.add_argument("lock", nargs="?", default="uv.lock", type=Path) parser.add_argument("--platform", choices=sorted(PLATFORMS), action="append", help="default: all") args = parser.parse_args(argv) diff --git a/scripts/win_arm64_wheels/plan_release_upload.py b/scripts/win_arm64_wheels/plan_release_upload.py new file mode 100644 index 00000000000..af98a82775b --- /dev/null +++ b/scripts/win_arm64_wheels/plan_release_upload.py @@ -0,0 +1,78 @@ +"""Decide which files the Windows ARM64 wheel release may receive, without ever replacing an asset. + +Every Invoke release locks the assets of the tag its ``pyproject.toml`` names by SHA-256, and the wheel builds +are not byte-reproducible, so replacing an asset breaks every install of every release that locked it. A file is +therefore uploaded only when the release has no asset of that name. An asset that already exists with the same +SHA-256 is skipped: that is how "Re-run failed jobs" finishes an interrupted upload, since a rerun of the publish +job reuses the build artifacts of the original run. An existing asset with different contents, or one whose +digest GitHub does not report, fails the publish. A new dispatch that reuses a published tag therefore fails, +because its rebuilt wheels differ from the published ones. + +Usage: plan_release_upload.py RELEASE_JSON file [file ...] + +RELEASE_JSON is the output of ``gh api repos//releases/tags/`` (``{"assets": []}`` for a release +that does not exist yet). The names of the files to upload are printed one per line, as the given paths. +""" + +import hashlib +import json +import sys +from pathlib import Path + + +class UploadConflict(Exception): + pass + + +def plan_upload(local: dict[str, str], remote: dict[str, str | None]) -> list[str]: + """The local asset names to upload. + + ``local`` maps an asset name to its SHA-256 hex digest; ``remote`` maps each existing release asset to the + digest GitHub reports (``sha256:``), or None when it reports none. Raises UploadConflict naming every + asset that is already published with other (or unverifiable) contents. + """ + conflicts = [] + upload = [] + for name, sha256 in sorted(local.items()): + if name not in remote: + upload.append(name) + continue + published = remote[name] + if published is None: + conflicts.append(f"{name}: published without a digest, so it cannot be compared") + elif published.lower() != f"sha256:{sha256}": + conflicts.append(f"{name}: published as {published}, this build is sha256:{sha256}") + if conflicts: + raise UploadConflict( + "The release already holds different contents for:\n " + + "\n ".join(conflicts) + + "\nPublished assets are locked by hash and are never replaced. Dispatch with a new release tag." + ) + return upload + + +def sha256_file(path: Path) -> str: + return hashlib.sha256(path.read_bytes()).hexdigest() + + +def main(argv: list[str]) -> int: + if len(argv) < 3: + sys.stderr.write(__doc__ or "") + return 2 + release = json.loads(Path(argv[1]).read_text()) + remote = {asset["name"]: asset.get("digest") for asset in release.get("assets", [])} + paths = {Path(arg).name: Path(arg) for arg in argv[2:]} + try: + names = plan_upload({name: sha256_file(path) for name, path in paths.items()}, remote) + except UploadConflict as e: + sys.stderr.write(f"{e}\n") + return 1 + for name in sorted(set(paths) - set(names)): + sys.stderr.write(f"already published with identical contents, skipped: {name}\n") + for name in names: + print(paths[name]) + return 0 + + +if __name__ == "__main__": + sys.exit(main(sys.argv)) diff --git a/tests/test_check_platform_locks.py b/tests/test_check_platform_locks.py index 57c22fb40ea..7eb0ccd3f49 100644 --- a/tests/test_check_platform_locks.py +++ b/tests/test_check_platform_locks.py @@ -23,6 +23,7 @@ NVIDIA = check_platform_locks.NVIDIA_WIN_ARM64_REGISTRY PYPI = "https://pypi.org/simple" CU128 = "https://download.pytorch.org/whl/cu128" +SELF_BUILT = "https://github.com/invoke-ai/InvokeAI/releases/download/win-arm64-wheels-v1/index.html" WIN_ARM = "platform_machine == 'ARM64' and sys_platform == 'win32'" NOT_WIN_ARM = "(platform_machine != 'ARM64' or sys_platform != 'win32')" AARCH64 = "platform_machine == 'aarch64' and sys_platform == 'linux'" @@ -94,6 +95,7 @@ def make_lock( transitive_tag: str = "cp312-cp312-win_arm64", extra_dep_tag: str = "cp312-cp312-win_arm64", sdist_only: str | None = None, + cpu_extra_aarch64_torch: bool = True, ) -> str: base_torch = [ dep("torch", "2.7.1", PYPI, f"({AARCH64}) or ({NOT_WIN_ARM} and {NO_CUDA})"), @@ -103,6 +105,8 @@ def make_lock( dep("torchvision", "0.22.1+cu128", CU128, f"{NOT_AARCH64} and {NOT_WIN_ARM} and {CUDA}"), dep("torchvision", "0.29.0+cu134", win_arm_torch_registry, WIN_ARM), ] + # The aarch64 fallback pins are the PyPI edges; without them the extra leans on the base's torch alone. + cpu_torch = base_torch if cpu_extra_aarch64_torch else [d for d in base_torch if PYPI not in d] return f""" version = 1 requires-python = ">=3.12, <3.13" @@ -119,12 +123,12 @@ def make_lock( source = {{ editable = "." }} dependencies = [ {dep("numpy")}, - {dep("python-jose")}, + {dep("transformers")}, {dep("imageio", extra=["ffmpeg"])}, {dep("imageio")}, {(" " + dep(sdist_only) + ",") if sdist_only else ""} - {dep("cryptography", "46.0.3", PYPI, WIN_ARM)}, - {dep("cryptography", "49.0.0", PYPI, NOT_WIN_ARM)}, + {dep("blake3", "1.0.9", SELF_BUILT, WIN_ARM)}, + {dep("blake3", "1.0.9", PYPI, NOT_WIN_ARM)}, {chr(10).join(" " + d + "," for d in base_torch)} ] @@ -133,7 +137,7 @@ def make_lock( {chr(10).join(" " + d + "," for d in base_torch)} ] cpu = [ -{chr(10).join(" " + d + "," for d in base_torch)} +{chr(10).join(" " + d + "," for d in cpu_torch)} ] test = [ {dep("pytest-timeout")}, @@ -141,15 +145,15 @@ def make_lock( ] {package("pytest-timeout", "2.4.0", PYPI, [wheel("pytest_timeout", "2.4.0", test_extra_tag, PYPI)])} {package("numpy", "2.3.5", PYPI, [wheel("numpy", "2.3.5", "cp312-cp312-win_arm64", PYPI), wheel("numpy", "2.3.5", "cp312-cp312-manylinux_2_28_aarch64", PYPI)])} -{package("python-jose", "3.5.0", PYPI, [wheel("python_jose", "3.5.0", "py3-none-any", PYPI)], deps=[dep("rsa")])} -{package("rsa", "4.9", PYPI, [wheel("rsa", "4.9", transitive_tag, PYPI)])} +{package("transformers", "5.6.0", PYPI, [wheel("transformers", "5.6.0", "py3-none-any", PYPI)], deps=[dep("tokenizers")])} +{package("tokenizers", "0.22.2", PYPI, [wheel("tokenizers", "0.22.2", transitive_tag, PYPI)])} {package("imageio", "2.37.4", PYPI, [wheel("imageio", "2.37.4", "py3-none-any", PYPI)], deps=[dep("pillow")], extras={"ffmpeg": [dep("imageio-ffmpeg"), dep("av")]})} {package("pillow", "12.2.0", PYPI, [wheel("pillow", "12.2.0", "cp312-cp312-win_arm64", PYPI)])} {package("av", "18.1.0", PYPI, [wheel("av", "18.1.0", extra_dep_tag, PYPI)])} {package("imageio-ffmpeg", "0.6.0", PYPI, [], sdist=True)} {package(sdist_only, "1.0", PYPI, [], sdist=True) if sdist_only else ""} -{package("cryptography", "46.0.3", PYPI, [wheel("cryptography", "46.0.3", closure_tag, PYPI)])} -{package("cryptography", "49.0.0", PYPI, [wheel("cryptography", "49.0.0", "cp312-abi3-win_amd64", PYPI)])} +{package("blake3", "1.0.9", SELF_BUILT, [wheel("blake3", "1.0.9", closure_tag, SELF_BUILT)])} +{package("blake3", "1.0.9", PYPI, [wheel("blake3", "1.0.9", "cp312-cp312-win_amd64", PYPI)])} {package("torch", "2.7.1", PYPI, [wheel("torch", "2.7.1", "cp312-cp312-manylinux_2_28_aarch64", PYPI)])} {package("torch", "2.7.1+cu128", CU128, [wheel("torch", "2.7.1+cu128", "cp312-cp312-win_amd64", CU128)])} {package("torch", "2.14.0+cu134", win_arm_torch_registry, [wheel("torch", "2.14.0+cu134", win_arm_torch_tag, win_arm_torch_registry)])} @@ -221,6 +225,22 @@ def test_aarch64_torchvision_without_aarch64_wheel_fails(tmp_path: Path): assert run(tmp_path, make_lock(aarch64_torchvision_tag="cp312-cp312-manylinux_2_28_x86_64"), "aarch64") == 1 +def test_aarch64_extra_without_its_own_fallback_pin_fails(tmp_path: Path): + """The base dependencies resolve a torch on aarch64 too; that must not stand in for the extra's own pin.""" + assert run(tmp_path, make_lock(cpu_extra_aarch64_torch=False), "aarch64") == 1 + # win_arm64 takes its torch from the base and the extra alike, so the same lock is fine there. + assert run(tmp_path, make_lock(cpu_extra_aarch64_torch=False), "win_arm64") == 0 + + +@pytest.mark.parametrize("platform", ["aarch64", "win_arm64"]) +def test_each_torch_package_is_reported_once_per_extra(tmp_path: Path, capsys, platform: str): + """The base and the extra both carry an edge to the same torch; that is one package, reported once.""" + assert run(tmp_path, make_lock(), platform) == 0 + lines = [line for line in capsys.readouterr().out.splitlines() if " from " in line] + assert lines, "the check must report the torch it found" + assert len(lines) == len(set(lines)), lines + + def test_lock_excluding_a_platform_fails(tmp_path: Path): text = make_lock().replace( "(platform_machine == 'x86_64' or platform_machine == 'aarch64')", "platform_machine == 'x86_64'" diff --git a/tests/test_win_arm64_wheel_publish.py b/tests/test_win_arm64_wheel_publish.py new file mode 100644 index 00000000000..86236320e44 --- /dev/null +++ b/tests/test_win_arm64_wheel_publish.py @@ -0,0 +1,77 @@ +"""scripts/win_arm64_wheels/plan_release_upload.py must never let a publish replace an asset the lockfile pins.""" + +import hashlib +import importlib.util +import json +import sys +from pathlib import Path + +import pytest + +REPO_ROOT = Path(__file__).resolve().parent.parent +SCRIPT = REPO_ROOT / "scripts" / "win_arm64_wheels" / "plan_release_upload.py" + +spec = importlib.util.spec_from_file_location("plan_release_upload", SCRIPT) +assert spec is not None and spec.loader is not None +plan_release_upload = importlib.util.module_from_spec(spec) +sys.modules[spec.name] = plan_release_upload +spec.loader.exec_module(plan_release_upload) + +WHEEL = "blake3-1.0.9-cp312-cp312-win_arm64.whl" + + +def _write(tmp_path: Path, name: str, content: bytes) -> tuple[Path, str]: + path = tmp_path / name + path.write_bytes(content) + return path, hashlib.sha256(content).hexdigest() + + +def _run(tmp_path: Path, assets: list[dict], *files: Path, capsys) -> tuple[int, list[str], str]: + release = tmp_path / "release.json" + release.write_text(json.dumps({"assets": assets})) + code = plan_release_upload.main(["plan", str(release), *map(str, files)]) + out, err = capsys.readouterr() + return code, out.split(), err + + +def test_a_new_release_uploads_everything(tmp_path, capsys) -> None: + wheel, _ = _write(tmp_path, WHEEL, b"wheel") + index, _ = _write(tmp_path, "index.html", b"") + + code, upload, _ = _run(tmp_path, [], wheel, index, capsys=capsys) + + assert code == 0 + assert sorted(upload) == sorted([str(wheel), str(index)]) + + +def test_identical_published_assets_are_skipped_so_an_interrupted_upload_can_finish(tmp_path, capsys) -> None: + wheel, wheel_sha = _write(tmp_path, WHEEL, b"wheel") + index, _ = _write(tmp_path, "index.html", b"") + + code, upload, err = _run(tmp_path, [{"name": WHEEL, "digest": f"sha256:{wheel_sha}"}], wheel, index, capsys=capsys) + + assert code == 0 + assert upload == [str(index)] + assert WHEEL in err + + +@pytest.mark.parametrize("name", [WHEEL, "index.html"]) +def test_a_published_asset_with_different_contents_fails_and_nothing_is_uploaded(tmp_path, capsys, name) -> None: + wheel, _ = _write(tmp_path, WHEEL, b"rebuilt wheel") + index, _ = _write(tmp_path, "index.html", b" rebuilt") + + code, upload, err = _run(tmp_path, [{"name": name, "digest": "sha256:" + "0" * 64}], wheel, index, capsys=capsys) + + assert code == 1 + assert upload == [] + assert name in err + + +def test_a_published_asset_without_a_digest_is_refused(tmp_path, capsys) -> None: + wheel, _ = _write(tmp_path, WHEEL, b"wheel") + + code, upload, err = _run(tmp_path, [{"name": WHEEL, "digest": None}], wheel, capsys=capsys) + + assert code == 1 + assert upload == [] + assert "without a digest" in err diff --git a/uv.lock b/uv.lock index 1e3e7f78a1b..39be4553e59 100644 --- a/uv.lock +++ b/uv.lock @@ -930,12 +930,12 @@ wheels = [ [[package]] name = "blake3" version = "1.0.9" -source = { registry = "https://github.com/invoke-ai/InvokeAI-7/releases/download/win-arm64-wheels-v1/index.html" } +source = { registry = "https://github.com/invoke-ai/InvokeAI/releases/download/win-arm64-wheels-v1/index.html" } resolution-markers = [ "platform_machine == 'ARM64' and sys_platform == 'win32'", ] wheels = [ - { url = "https://github.com/invoke-ai/InvokeAI-7/releases/download/win-arm64-wheels-v1/blake3-1.0.9-cp312-cp312-win_arm64.whl", hash = "sha256:738c542b72f584d9b32a48883edcb5779bfc914750aca84c34231ec31089777f" }, + { url = "https://github.com/invoke-ai/InvokeAI/releases/download/win-arm64-wheels-v1/blake3-1.0.9-cp312-cp312-win_arm64.whl", hash = "sha256:738c542b72f584d9b32a48883edcb5779bfc914750aca84c34231ec31089777f" }, ] [[package]] @@ -1840,7 +1840,7 @@ dependencies = [ { name = "bcrypt", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'darwin' or sys_platform == 'win32' or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" }, { name = "bitsandbytes", version = "0.49.2", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine != 'aarch64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" }, { name = "bitsandbytes", version = "0.50.2", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine == 'x86_64' and sys_platform == 'linux') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or sys_platform == 'win32' or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" }, - { name = "blake3", version = "1.0.9", source = { registry = "https://github.com/invoke-ai/InvokeAI-7/releases/download/win-arm64-wheels-v1/index.html" }, marker = "(platform_machine == 'ARM64' and sys_platform == 'win32') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" }, + { name = "blake3", version = "1.0.9", source = { registry = "https://github.com/invoke-ai/InvokeAI/releases/download/win-arm64-wheels-v1/index.html" }, marker = "(platform_machine == 'ARM64' and sys_platform == 'win32') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" }, { name = "blake3", version = "1.0.9", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or (platform_machine != 'ARM64' and sys_platform == 'win32') or sys_platform == 'darwin' or (sys_platform != 'linux' and sys_platform != 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and sys_platform != 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and sys_platform != 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and sys_platform != 'win32' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and sys_platform != 'win32' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and sys_platform != 'win32' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" }, { name = "compel", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'darwin' or sys_platform == 'win32' or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" }, { name = "deprecated", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'darwin' or sys_platform == 'win32' or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" }, @@ -1867,7 +1867,7 @@ dependencies = [ { name = "onnx", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'darwin' or sys_platform == 'win32' or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" }, { name = "onnxruntime", version = "1.19.2", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or (platform_machine != 'ARM64' and sys_platform == 'win32') or sys_platform == 'darwin' or (sys_platform != 'linux' and sys_platform != 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and sys_platform != 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and sys_platform != 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and sys_platform != 'win32' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and sys_platform != 'win32' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and sys_platform != 'win32' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" }, { name = "onnxruntime", version = "1.31.0", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine == 'ARM64' and sys_platform == 'win32') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" }, - { name = "opencv-contrib-python", version = "4.11.0.86", source = { registry = "https://github.com/invoke-ai/InvokeAI-7/releases/download/win-arm64-wheels-v1/index.html" }, marker = "(platform_machine == 'ARM64' and sys_platform == 'win32') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 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or (platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'darwin' or sys_platform == 'win32' or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" }, @@ -1888,7 +1888,7 @@ dependencies = [ { name = "sentencepiece", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and platform_machine 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'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" }, @@ -2135,7 +2135,7 @@ requires-dist = [ { name = "bitsandbytes", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (platform_machine != 'ARM64' and sys_platform == 'win32' and extra == 'rocm')", specifier = ">=0.50.2" }, { name = "bitsandbytes", marker = "platform_machine == 'ARM64' and sys_platform == 'win32'", specifier = ">=0.50.1" }, { name = "blake3", marker = "platform_machine != 'ARM64' or sys_platform != 'win32'" }, - { name = "blake3", marker = "platform_machine == 'ARM64' and sys_platform == 'win32'", specifier = "==1.0.9", index = "https://github.com/invoke-ai/InvokeAI-7/releases/download/win-arm64-wheels-v1/index.html" }, + { name = "blake3", marker = "platform_machine == 'ARM64' and sys_platform == 'win32'", specifier = "==1.0.9", index = "https://github.com/invoke-ai/InvokeAI/releases/download/win-arm64-wheels-v1/index.html" }, { name = "compel", specifier = ">=2.4.0,<3" }, { name = "deprecated" }, { name = "diffusers", extras = ["torch"], specifier = "==0.41.0" }, @@ -2170,7 +2170,7 @@ requires-dist = [ { name = "onnxruntime-directml", marker = "(platform_machine != 'ARM64' and extra == 'onnx-directml') or (sys_platform != 'win32' and extra == 'onnx-directml')" }, { name = "onnxruntime-gpu", marker = "(platform_machine != 'ARM64' and extra == 'onnx-cuda') or (sys_platform != 'win32' and extra == 'onnx-cuda')" }, { name = "opencv-contrib-python", marker = "platform_machine != 'ARM64' or sys_platform != 'win32'" }, - { name = "opencv-contrib-python", marker = "platform_machine == 'ARM64' and sys_platform == 'win32'", specifier = "==4.11.0.86", index = "https://github.com/invoke-ai/InvokeAI-7/releases/download/win-arm64-wheels-v1/index.html" }, + { name = "opencv-contrib-python", marker = "platform_machine == 'ARM64' and sys_platform == 'win32'", specifier = "==4.11.0.86", index = "https://github.com/invoke-ai/InvokeAI/releases/download/win-arm64-wheels-v1/index.html" }, { name = "picklescan" }, { name = "pillow", specifier = ">=12.3.0" }, { name = "pip-tools", marker = "extra == 'dist'" }, @@ -2233,7 +2233,7 @@ requires-dist = [ { name = "snakeviz", marker = "extra == 'dev'" }, { name = "spandrel" }, { name = "sqlalchemy", specifier = ">=2.1,<2.2" }, - { name = "tiktoken", marker = "platform_machine == 'ARM64' and sys_platform == 'win32'", specifier = "==0.13.0", index = "https://github.com/invoke-ai/InvokeAI-7/releases/download/win-arm64-wheels-v1/index.html" }, + { name = "tiktoken", marker = "platform_machine == 'ARM64' and sys_platform == 'win32'", specifier = "==0.13.0", index = "https://github.com/invoke-ai/InvokeAI/releases/download/win-arm64-wheels-v1/index.html" }, { name = "torch", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (platform_machine != 'ARM64' and sys_platform == 'win32') or (sys_platform != 'darwin' and sys_platform != 'linux' and sys_platform != 'win32')", specifier = ">=2.7.0,<3.0" }, { name = "torch", marker = "sys_platform == 'darwin'", specifier = ">=2.7.0,<2.8.0" }, { name = "torch", marker = "sys_platform == 'darwin' and extra == 'cpu'", specifier = "==2.7.1" }, @@ -2644,7 +2644,7 @@ dependencies = [ { name = "pydantic", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 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name = "pydantic-extra-types", extra = ["pycountry"], marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 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and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" }, - { name = "tiktoken", version = "0.13.0", source = { registry = "https://github.com/invoke-ai/InvokeAI-7/releases/download/win-arm64-wheels-v1/index.html" }, marker = "(platform_machine == 'ARM64' and sys_platform == 'win32') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" }, + { name = "tiktoken", version = "0.13.0", source = { registry = "https://github.com/invoke-ai/InvokeAI/releases/download/win-arm64-wheels-v1/index.html" }, marker = "(platform_machine == 'ARM64' and sys_platform == 'win32') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" }, { name = "tiktoken", version = "0.13.0", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or (platform_machine != 'ARM64' and sys_platform == 'win32') or sys_platform == 'darwin' or (sys_platform != 'linux' and sys_platform != 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and sys_platform != 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and sys_platform != 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and sys_platform != 'win32' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and sys_platform != 'win32' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and sys_platform != 'win32' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform == 'win32' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" }, { name = "typing-extensions", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or sys_platform == 'darwin' or sys_platform == 'win32' or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'linux' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" }, ] @@ -3210,7 +3210,7 @@ wheels = [ [[package]] name = "opencv-contrib-python" version = "4.11.0.86" -source = { registry = "https://github.com/invoke-ai/InvokeAI-7/releases/download/win-arm64-wheels-v1/index.html" } +source = { registry = "https://github.com/invoke-ai/InvokeAI/releases/download/win-arm64-wheels-v1/index.html" } resolution-markers = [ "platform_machine == 'ARM64' and sys_platform == 'win32'", ] @@ -3218,7 +3218,7 @@ dependencies = [ { name = "numpy", version = "2.3.5", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine == 'ARM64' and sys_platform == 'win32') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" }, ] wheels = [ - { url = "https://github.com/invoke-ai/InvokeAI-7/releases/download/win-arm64-wheels-v1/opencv_contrib_python-4.11.0.86-cp312-cp312-win_arm64.whl", hash = "sha256:288b05e83ca96eb9a60effe41e9f7d3783607ccff1efe44fbfe1b17eaa282b6e" }, + { url = "https://github.com/invoke-ai/InvokeAI/releases/download/win-arm64-wheels-v1/opencv_contrib_python-4.11.0.86-cp312-cp312-win_arm64.whl", hash = "sha256:288b05e83ca96eb9a60effe41e9f7d3783607ccff1efe44fbfe1b17eaa282b6e" }, ] [[package]] @@ -4640,7 +4640,7 @@ wheels = [ [[package]] name = "tiktoken" version = "0.13.0" -source = { registry = "https://github.com/invoke-ai/InvokeAI-7/releases/download/win-arm64-wheels-v1/index.html" } +source = { registry = "https://github.com/invoke-ai/InvokeAI/releases/download/win-arm64-wheels-v1/index.html" } resolution-markers = [ "platform_machine == 'ARM64' and sys_platform == 'win32'", ] @@ -4649,7 +4649,7 @@ dependencies = [ { name = "requests", marker = "(platform_machine == 'ARM64' and sys_platform == 'win32') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (platform_machine != 'ARM64' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-xpu') or (sys_platform != 'win32' and extra == 'extra-8-invokeai-rocm' and extra == 'extra-8-invokeai-xpu')" }, ] wheels = [ - { url = "https://github.com/invoke-ai/InvokeAI-7/releases/download/win-arm64-wheels-v1/tiktoken-0.13.0-cp312-cp312-win_arm64.whl", hash = "sha256:04bfb1128177082b29214e692a57f5a160aaffaa5b8642f9c19f8f0acc29cfac" }, + { url = "https://github.com/invoke-ai/InvokeAI/releases/download/win-arm64-wheels-v1/tiktoken-0.13.0-cp312-cp312-win_arm64.whl", hash = "sha256:04bfb1128177082b29214e692a57f5a160aaffaa5b8642f9c19f8f0acc29cfac" }, ] [[package]] From 5f0945b8a0be113357913c09c2da36cda79a648b Mon Sep 17 00:00:00 2001 From: Lincoln Stein Date: Wed, 14 Oct 2026 23:33:03 -0400 Subject: [PATCH 14/26] fix(image-map): limit the PCA fallback to Windows ARM64 and refit it once UMAP imports Elsewhere a failed umap import is a failed fit; the projection params record the method, so a cached PCA map is refit when UMAP becomes available. PCA streams a D x D scatter matrix instead of an N x D float64 SVD. --- invokeai/app/api/routers/image_map.py | 6 +- .../image_index/image_index_default.py | 13 +- .../app/services/image_index/projection.py | 92 ++++++++++++-- .../image_util/mediapipe_face/__init__.py | 6 +- invokeai/backend/util/host_platform.py | 10 ++ tests/app/routers/test_image_map.py | 25 +++- .../image_index/test_image_index_service.py | 56 +++++++++ .../services/image_index/test_projection.py | 119 +++++++++++++++++- .../services/image_index/test_umap_import.py | 12 +- .../image_util/test_mediapipe_face_gate.py | 11 +- 10 files changed, 316 insertions(+), 34 deletions(-) create mode 100644 invokeai/backend/util/host_platform.py diff --git a/invokeai/app/api/routers/image_map.py b/invokeai/app/api/routers/image_map.py index 6f205a285a8..9ea3724f1d2 100644 --- a/invokeai/app/api/routers/image_map.py +++ b/invokeai/app/api/routers/image_map.py @@ -40,6 +40,7 @@ ClusterDiagnostics, cluster_with_diagnostics, compute_clusters, + projection_method_is_current, scope_hash, ) from invokeai.app.services.image_records.image_records_common import ImageRecordNotFoundException @@ -456,7 +457,10 @@ async def get_image_map_points( ) current_hash = scope_hash(model_id, current_items) - stale = record.scope_hash != current_hash + # Off the event loop: on Windows ARM64 the method check may import umap-learn the first time. + stale = record.scope_hash != current_hash or not await asyncio.to_thread( + projection_method_is_current, record.params, record.point_count + ) if stale: services.image_index.request_projection(user_id, all_images=is_admin) diff --git a/invokeai/app/services/image_index/image_index_default.py b/invokeai/app/services/image_index/image_index_default.py index c8fabb680ea..ea02ca6c719 100644 --- a/invokeai/app/services/image_index/image_index_default.py +++ b/invokeai/app/services/image_index/image_index_default.py @@ -21,7 +21,12 @@ IndexedItem, MediaKind, ) -from invokeai.app.services.image_index.projection import compute_umap, projection_params, scope_hash +from invokeai.app.services.image_index.projection import ( + compute_umap, + projection_method_is_current, + projection_params, + scope_hash, +) from invokeai.app.services.image_records.image_records_common import ImageCategory from invokeai.app.services.images.images_common import ImageDTO from invokeai.app.services.session_queue.session_queue_common import DEFAULT_QUEUE_ID @@ -1606,7 +1611,11 @@ def _process_projection(self, user_id: str, all_images: bool) -> None: and bool(items) and self._failed_scope_retry_available(user_id, current_hash) ) - if cached is not None and cached.scope_hash == current_hash and not retrying_failed_scope: + # A map projected by the fallback PCA is stale once the projector it fell back from is + # installed: same scope, but not the map a fit would give now. Failed (empty) rows are left + # to the retry budget above, so a doomed fit is not re-run on every request. + method_is_current = cached is None or projection_method_is_current(cached.params, cached.point_count) + if cached is not None and cached.scope_hash == current_hash and method_is_current and not retrying_failed_scope: # Nothing the projection depends on has changed, and the fit is # seeded, so recomputing would burn minutes of single-threaded CPU # to arrive at identical coordinates. Still emit, so a client that diff --git a/invokeai/app/services/image_index/projection.py b/invokeai/app/services/image_index/projection.py index a143af37abc..4fbc9389e3e 100644 --- a/invokeai/app/services/image_index/projection.py +++ b/invokeai/app/services/image_index/projection.py @@ -25,21 +25,67 @@ import numpy as np from invokeai.app.services.image_index.image_index_common import EMBEDDING_DTYPE, IndexedItem +from invokeai.backend.util.host_platform import is_windows_arm64 logger = logging.getLogger(__name__) @functools.cache def _umap_class() -> Optional[type[Any]]: - """umap-learn's UMAP, or None (logged once) where it is not installed.""" + """umap-learn's UMAP, or None (logged once) on Windows ARM64, where it is not installed. + + Anywhere else a failed import is a broken install (a numba/llvmlite mismatch, say), not a missing + platform wheel, so it propagates: compute_umap then fails like any other fit, and the caller's + failed-fit handling applies instead of a silently degraded map. functools.cache does not cache the + raise, so a repaired install is picked up by the next fit. + """ try: from umap import UMAP except ImportError: + if not is_windows_arm64(): + raise logger.warning("umap-learn is not installed; the image map falls back to a PCA projection.") return None return UMAP +def projection_method(n_points: int) -> str: + """Which projection compute_umap gives a map of n_points: "umap" or "pca".""" + if n_points <= 3: + return "pca" + if is_windows_arm64(): + try: + if _umap_class() is None: + return "pca" + except Exception: + # An installed umap that fails to import other than with ImportError (a native library, say): + # compute_umap will try UMAP and fail the fit, so that is the method a fit would use. + pass + return "umap" + + +def projection_method_is_current(params: str, point_count: int) -> bool: + """Whether a cached map was projected the way a fit would project it now. + + A PCA map drawn because umap-learn was missing is stale once it imports, though its scope is unchanged. + Maps of three points or fewer are always PCA, and a failed (empty) one is left to the retry budget. + """ + return point_count <= 3 or stored_projection_method(params) == projection_method(point_count) + + +def stored_projection_method(params: str) -> str: + """The method recorded in projection_params JSON. + + Rows written before the method was recorded are UMAP: the PCA fallback for missing umap-learn + arrived together with the field. + """ + try: + method = json.loads(params).get("method", "umap") + except (ValueError, AttributeError): + return "umap" + return method if isinstance(method, str) else "umap" + + DEFAULT_CLUSTER_EPS = 0.2 DEFAULT_CLUSTER_MIN_SAMPLES = 10 DEFAULT_UMAP_SEED = 42 @@ -49,6 +95,7 @@ def projection_params(seed: int = DEFAULT_UMAP_SEED, n_points: int = 0) -> str: """JSON description of the projection parameters, stored with the cache.""" return json.dumps( { + "method": projection_method(n_points), "metric": "cosine", "min_dist": 0.05, "n_components": 2, @@ -59,14 +106,36 @@ def projection_params(seed: int = DEFAULT_UMAP_SEED, n_points: int = 0) -> str: ) +# Rows per chunk when the PCA fallback streams the embedding matrix: it is converted to float64 a chunk at a +# time, so the fallback never holds an N x D float64 copy (about 6 KB per 768-wide point, 1 GB at 170k images). +_PCA_CHUNK_ROWS = 8192 + + def _pca_projection(embeddings: np.ndarray) -> np.ndarray: - """Deterministic (N, 2) projection onto the two leading principal components.""" - centered = embeddings.astype(np.float64) - embeddings.mean(axis=0) - _, _, vt = np.linalg.svd(centered, full_matrices=False) - coords = centered @ vt[:2].T - if coords.shape[1] < 2: - coords = np.pad(coords, ((0, 0), (0, 2 - coords.shape[1]))) - return coords.astype(EMBEDDING_DTYPE) + """Deterministic (N, 2) projection onto the two leading principal components. + + Eigendecomposes the D x D scatter matrix rather than taking an SVD of the centered N x D matrix, + whose float64 copy and factors cost tens of KB per point on a large gallery. + """ + n_points, dim = embeddings.shape + mean = embeddings.mean(axis=0, dtype=np.float64) + scatter = np.zeros((dim, dim), dtype=np.float64) + for start in range(0, n_points, _PCA_CHUNK_ROWS): + chunk = embeddings[start : start + _PCA_CHUNK_ROWS].astype(np.float64) - mean + scatter += chunk.T @ chunk + + n_components = min(2, dim) + # eigh returns eigenvalues in ascending order. + components = np.linalg.eigh(scatter)[1][:, ::-1][:, :n_components] + # An eigenvector's sign is arbitrary; pin it so equal inputs never give mirrored maps. + largest = components[np.abs(components).argmax(axis=0), np.arange(n_components)] + components *= np.where(largest < 0, -1.0, 1.0) + + coords = np.zeros((n_points, 2), dtype=EMBEDDING_DTYPE) + for start in range(0, n_points, _PCA_CHUNK_ROWS): + chunk = embeddings[start : start + _PCA_CHUNK_ROWS].astype(np.float64) - mean + coords[start : start + _PCA_CHUNK_ROWS, :n_components] = chunk @ components + return coords def compute_umap(embeddings: np.ndarray, seed: int = DEFAULT_UMAP_SEED) -> np.ndarray: @@ -78,9 +147,10 @@ def compute_umap(embeddings: np.ndarray, seed: int = DEFAULT_UMAP_SEED) -> np.nd needs fewer components than points). Raises on UMAP failure — the caller decides what a failed fit means for its cache. - Where umap-learn is not installed (Windows ARM64: numba ships no wheel for - its Python), every size takes the PCA projection instead, so the map stays - usable — less structured, but deterministic and dependency-free. + On Windows ARM64, where umap-learn is not installed (numba ships no wheel + for its Python), every size takes the PCA projection instead, so the map + stays usable — less structured, but deterministic and dependency-free. + projection_method() names the method a map of a given size gets. """ if embeddings.shape[0] == 0: return np.empty((0, 2), dtype=EMBEDDING_DTYPE) diff --git a/invokeai/backend/image_util/mediapipe_face/__init__.py b/invokeai/backend/image_util/mediapipe_face/__init__.py index ce1e9cae63a..d33945428cd 100644 --- a/invokeai/backend/image_util/mediapipe_face/__init__.py +++ b/invokeai/backend/image_util/mediapipe_face/__init__.py @@ -1,11 +1,9 @@ # Adapted from https://github.com/huggingface/controlnet_aux -import platform -import sys - from PIL import Image from invokeai.backend.image_util.util import np_to_pil, pil_to_np +from invokeai.backend.util.host_platform import is_windows_arm64 # mediapipe is imported lazily: the package is absent on Windows ARM64, where its only wheel is the # Tasks-API build without the legacy `solutions` API these modules use, and every node module is @@ -22,7 +20,7 @@ def mediapipe_import_error(error: ImportError) -> RuntimeError: Names the platform only where the platform is the cause; elsewhere an import failure is a broken install (a protobuf mismatch, say) and the message must carry the original error. """ - if sys.platform == "win32" and platform.machine() == "ARM64": + if is_windows_arm64(): return RuntimeError(MEDIAPIPE_UNAVAILABLE_MESSAGE) return RuntimeError(f"MediaPipe failed to import, so the MediaPipe face nodes cannot run: {error}") diff --git a/invokeai/backend/util/host_platform.py b/invokeai/backend/util/host_platform.py new file mode 100644 index 00000000000..d89c4827218 --- /dev/null +++ b/invokeai/backend/util/host_platform.py @@ -0,0 +1,10 @@ +import platform +import sys + + +def is_windows_arm64() -> bool: + """Whether this is Windows on ARM64, where several dependencies have no wheel and are left out of the install. + + Read at call time, not import time, so tests can patch ``sys.platform`` and ``platform.machine``. + """ + return sys.platform == "win32" and platform.machine() == "ARM64" diff --git a/tests/app/routers/test_image_map.py b/tests/app/routers/test_image_map.py index 7fe0531e9c9..744d301cbaa 100644 --- a/tests/app/routers/test_image_map.py +++ b/tests/app/routers/test_image_map.py @@ -18,6 +18,7 @@ from invokeai.app.services.board_video_records.board_video_records_default import BoardVideoRecordStorage from invokeai.app.services.config.config_default import InvokeAIAppConfig from invokeai.app.services.gallery.gallery_default import GalleryService +from invokeai.app.services.image_index import projection from invokeai.app.services.image_index.image_index_base import ImageIndexServiceBase from invokeai.app.services.image_index.image_index_common import ( ImageIndexStatus, @@ -27,6 +28,7 @@ from invokeai.app.services.image_index.projection import ( DEFAULT_CLUSTER_MIN_SAMPLES, cluster_with_diagnostics, + projection_params, scope_hash, ) from invokeai.app.services.image_records.image_records_common import ImageCategory, ResourceOrigin @@ -353,7 +355,9 @@ def _seed_projection(mock_invoker: Invoker, user_id: str, items: list[IndexedIte accessible = _records(mock_invoker).list_accessible_embedded_items( None if user_id == SYSTEM_USER_ID else user_id, MODEL_ID ) - _records(mock_invoker).set_projection(user_id, MODEL_ID, scope_hash(MODEL_ID, accessible), "{}", items, coords) + _records(mock_invoker).set_projection( + user_id, MODEL_ID, scope_hash(MODEL_ID, accessible), projection_params(n_points=len(items)), items, coords + ) # --- Single-user mode (system admin) --- @@ -452,6 +456,25 @@ def test_stale_projection_filters_now_inaccessible_names_and_requests_refresh( assert image_index_service.projection_requests == [(SYSTEM_USER_ID, True)] +def test_a_pca_map_is_stale_once_umap_is_installed( + mock_invoker: Invoker, image_index_service: FakeImageIndexService, client: TestClient, monkeypatch +) -> None: + """Over an unchanged scope too: otherwise the PCA map outlives the missing umap until the gallery changes.""" + names = [f"img-{i}.png" for i in range(4)] + for name in names: + _seed_embedded_image(mock_invoker, name) + monkeypatch.setattr(projection, "is_windows_arm64", lambda: True) + monkeypatch.setattr(projection, "_umap_class", lambda: None) + _seed_projection(mock_invoker, SYSTEM_USER_ID, imgs(*names), np.zeros((4, 2), dtype=np.float32)) + + assert client.get("/api/v1/image_map/points").json()["stale"] is False + assert image_index_service.projection_requests == [] + + monkeypatch.setattr(projection, "_umap_class", lambda: object) + assert client.get("/api/v1/image_map/points").json()["stale"] is True + assert image_index_service.projection_requests == [(SYSTEM_USER_ID, True)] + + def test_refresh_endpoint_enqueues(image_index_service: FakeImageIndexService, client: TestClient) -> None: response = client.post("/api/v1/image_map/refresh") assert response.status_code == 202 diff --git a/tests/app/services/image_index/test_image_index_service.py b/tests/app/services/image_index/test_image_index_service.py index 36a3d201baa..a7e1185c863 100644 --- a/tests/app/services/image_index/test_image_index_service.py +++ b/tests/app/services/image_index/test_image_index_service.py @@ -2259,6 +2259,62 @@ def counting_umap(matrix: np.ndarray) -> np.ndarray: service.stop() +def test_a_pca_fallback_map_is_refit_once_umap_is_installed( + image_records: ImageRecordStorage, + images_service: ImageService, + index_records: ImageIndexRecords, + monkeypatch: pytest.MonkeyPatch, +) -> None: + """A map the PCA fallback drew is stale once umap-learn imports, even though the gallery is unchanged. + + The scope hash alone would keep serving the PCA map until the gallery changed. + """ + from invokeai.app.services.image_index import projection + + fits = {"n": 0} + + def counting_umap(matrix: np.ndarray) -> np.ndarray: + # A stub, as in test_unchanged_scope_does_not_recompute_the_projection: the claim is about + # whether the fit runs. + fits["n"] += 1 + return np.zeros((matrix.shape[0], 2), dtype=np.float32) + + def stored_method() -> str: + record = index_records.get_projection("system", MODEL_ID) + assert record is not None + return projection.stored_projection_method(record.params) + + service = ImageIndexService(encode_fn=_fake_encode, model_id=MODEL_ID) + try: + # Four points: three or fewer are always PCA, whatever is installed. + for i in range(4): + _save_image(image_records, f"img-{i}.png") + service.start(_make_invoker(images_service, index_records)) + _wait_until(lambda: not service._backfill_pending.is_set()) + monkeypatch.setattr(image_index_default, "compute_umap", counting_umap) + + with monkeypatch.context() as no_umap: + no_umap.setattr(projection, "is_windows_arm64", lambda: True) + no_umap.setattr(projection, "_umap_class", lambda: None) + service.request_projection("system") + _wait_until(lambda: index_records.get_projection("system", MODEL_ID) is not None, timeout=30.0) + assert fits["n"] == 1 + assert stored_method() == "pca" + + # umap-learn now imports (stated outright: the suite also runs on Windows ARM64, where it does not). + monkeypatch.setattr(projection, "is_windows_arm64", lambda: False) + service.request_projection("system") + _wait_until(lambda: fits["n"] == 2, timeout=30.0) + _wait_until(lambda: stored_method() == "umap", timeout=30.0) + + for _ in range(2): + service.request_projection("system") + _wait_until(lambda: not service._projection_requests, timeout=30.0) + assert fits["n"] == 2, "a UMAP map over an unchanged scope must be reused" + finally: + service.stop() + + def test_failed_batch_uses_the_escalating_backoff(service: ImageIndexService) -> None: """Pin the CALL SITE, not just the helper. diff --git a/tests/app/services/image_index/test_projection.py b/tests/app/services/image_index/test_projection.py index e3ff3744506..54715207b77 100644 --- a/tests/app/services/image_index/test_projection.py +++ b/tests/app/services/image_index/test_projection.py @@ -1,10 +1,14 @@ """Tests for the pure projection/clustering functions (UMAP, DBSCAN, scope hashing).""" +import contextlib import json import sys +import tracemalloc import numpy as np +import pytest +from invokeai.app.services.image_index import projection from invokeai.app.services.image_index.image_index_common import IndexedItem from invokeai.app.services.image_index.projection import ( CANDIDATE_QUANTILES, @@ -17,9 +21,11 @@ cluster_with_diagnostics, compute_clusters, compute_umap, + projection_method, projection_params, resolve_cluster_eps, scope_hash, + stored_projection_method, ) @@ -478,17 +484,42 @@ def _blob_coords() -> np.ndarray: ) -def test_umap_missing_falls_back_to_pca(monkeypatch) -> None: - """Without umap-learn (Windows ARM64 has no numba wheel), every gallery size still gets a map.""" - from invokeai.app.services.image_index import projection +@contextlib.contextmanager +def _umap_hidden(monkeypatch: pytest.MonkeyPatch): + """`import umap` fails inside the block, and nothing it caches outlives it. + The cache is cleared on the way out as well as in: a None cached while umap was hidden would + otherwise make every later test in the worker run PCA instead of UMAP. + """ monkeypatch.setitem(sys.modules, "umap", None) projection._umap_class.cache_clear() try: - embeddings = _blobs() - coords = compute_umap(embeddings) + yield finally: projection._umap_class.cache_clear() + + +@pytest.fixture +def umap_unavailable(monkeypatch): + with _umap_hidden(monkeypatch): + yield + + +@pytest.fixture +def windows_arm64(monkeypatch): + monkeypatch.setattr(projection, "is_windows_arm64", lambda: True) + + +@pytest.fixture +def off_windows_arm64(monkeypatch): + # The suite also runs on Windows ARM64, where umap-learn is not installed. + monkeypatch.setattr(projection, "is_windows_arm64", lambda: False) + + +def test_umap_missing_falls_back_to_pca_on_windows_arm64(umap_unavailable, windows_arm64) -> None: + """Without umap-learn (Windows ARM64 has no numba wheel), every gallery size still gets a map.""" + embeddings = _blobs() + coords = compute_umap(embeddings) assert coords.shape == (embeddings.shape[0], 2) assert coords.dtype == np.float32 assert np.isfinite(coords).all() @@ -497,3 +528,81 @@ def test_umap_missing_falls_back_to_pca(monkeypatch) -> None: span = np.ptp(coords, axis=0).max() labels = compute_clusters(coords, eps=span * 0.05, min_samples=10) assert len({label for label in labels if label != -1}) >= 2 + # The stored params say how the map was made, so it can be refit once UMAP is installed. + assert stored_projection_method(projection_params(n_points=embeddings.shape[0])) == "pca" + + +def test_umap_missing_elsewhere_is_a_failed_fit_not_a_pca_map(umap_unavailable, off_windows_arm64) -> None: + """Off Windows ARM64 a missing umap is a broken install: the fit fails (and is retried) rather than degrade.""" + with pytest.raises(ImportError): + compute_umap(_blobs()) + assert projection_method(100) == "umap" + + +def test_hiding_umap_leaves_no_cached_lookup_behind() -> None: + with pytest.MonkeyPatch.context() as mp: + mp.setattr(projection, "is_windows_arm64", lambda: True) + with _umap_hidden(mp): + compute_umap(_blobs()) # caches the fallback's None + assert projection._umap_class.cache_info().currsize == 0 + + +def test_projection_params_record_the_method(off_windows_arm64) -> None: + assert stored_projection_method(projection_params(n_points=100)) == "umap" + assert stored_projection_method(projection_params(n_points=3)) == "pca" + # Rows cached before the method was recorded were all UMAP fits. + legacy = json.loads(projection_params(n_points=100)) + del legacy["method"] + assert stored_projection_method(json.dumps(legacy)) == "umap" + assert stored_projection_method("not json") == "umap" + + +def test_a_broken_umap_on_windows_arm64_is_treated_as_umap(windows_arm64, monkeypatch) -> None: + """An import failure other than ImportError is a fit failure, not a reason to call a map PCA.""" + + def broken() -> None: + raise OSError("numba native library failed to load") + + monkeypatch.setattr(projection, "_umap_class", broken) + assert projection_method(100) == "umap" + + +def test_a_pca_map_is_current_only_while_umap_is_missing(windows_arm64, monkeypatch) -> None: + monkeypatch.setattr(projection, "_umap_class", lambda: None) + pca_params = projection_params(n_points=100) + assert projection.projection_method_is_current(pca_params, 100) + + monkeypatch.setattr(projection, "_umap_class", lambda: object) + assert not projection.projection_method_is_current(pca_params, 100) + # Tiny and failed (empty) maps are never refit for their method. + assert projection.projection_method_is_current(pca_params, 3) + assert projection.projection_method_is_current(pca_params, 0) + + +def test_pca_fallback_matches_an_svd_projection() -> None: + rng = np.random.default_rng(11) + # Anisotropic, so the two leading components are well separated from the rest. + embeddings = (rng.standard_normal((500, 32)) * np.linspace(5.0, 0.1, 32)).astype(np.float32) + centered = embeddings.astype(np.float64) - embeddings.astype(np.float64).mean(axis=0) + _, _, vt = np.linalg.svd(centered, full_matrices=False) + expected = centered @ vt[:2].T + + coords = projection._pca_projection(embeddings) + # Principal components are defined up to sign. + np.testing.assert_allclose(np.abs(coords), np.abs(expected), rtol=1e-4, atol=1e-4) + assert np.array_equal(coords, projection._pca_projection(embeddings.copy())) + + +def test_pca_fallback_does_not_materialize_a_float64_copy() -> None: + """The fallback is the default map on Windows ARM64, so it has to fit a large gallery in memory.""" + n_points, dim = 60_000, 256 + embeddings = np.random.default_rng(0).standard_normal((n_points, dim)).astype(np.float32) + full_float64_copy = n_points * dim * 8 + + tracemalloc.start() + try: + projection._pca_projection(embeddings) + _, peak = tracemalloc.get_traced_memory() + finally: + tracemalloc.stop() + assert peak < full_float64_copy / 2, f"peak {peak / 1e6:.0f} MB against a {full_float64_copy / 1e6:.0f} MB copy" diff --git a/tests/app/services/image_index/test_umap_import.py b/tests/app/services/image_index/test_umap_import.py index 720fe208e87..87ee3c2ed65 100644 --- a/tests/app/services/image_index/test_umap_import.py +++ b/tests/app/services/image_index/test_umap_import.py @@ -11,9 +11,15 @@ import numpy as np import pytest -# Windows ARM64 has no numba wheel for its Python, so pyproject excludes the umap/numba stack there and -# the image map takes compute_umap's PCA fallback; that path is covered by test_projection.py. -numba = pytest.importorskip("numba", reason="umap-learn/numba are not installed on this platform") +from invokeai.backend.util.host_platform import is_windows_arm64 + +if is_windows_arm64(): + # No numba wheel for this Python, so pyproject excludes the umap/numba stack here and the image map + # takes compute_umap's PCA fallback; that path is covered by test_projection.py. Only here: anywhere + # else a missing numba is exactly the broken resolution this module exists to catch. + pytest.skip("umap-learn/numba are not installed on Windows ARM64", allow_module_level=True) + +import numba # noqa: E402 def test_numba_jit_is_active() -> None: diff --git a/tests/backend/image_util/test_mediapipe_face_gate.py b/tests/backend/image_util/test_mediapipe_face_gate.py index 1385ea7c0fb..36a90899f57 100644 --- a/tests/backend/image_util/test_mediapipe_face_gate.py +++ b/tests/backend/image_util/test_mediapipe_face_gate.py @@ -4,6 +4,7 @@ imported by `load_all_modules()` -- and fail with a message that names the platform when used. """ +import platform import sys import numpy as np @@ -28,10 +29,8 @@ def _image() -> Image.Image: def _as_windows_arm64(monkeypatch) -> None: - from invokeai.backend.image_util import mediapipe_face - - monkeypatch.setattr(mediapipe_face.sys, "platform", "win32") - monkeypatch.setattr(mediapipe_face.platform, "machine", lambda: "ARM64") + monkeypatch.setattr(sys, "platform", "win32") + monkeypatch.setattr(platform, "machine", lambda: "ARM64") def test_detect_faces_names_the_platform_on_windows_arm64(no_mediapipe, monkeypatch): @@ -51,9 +50,7 @@ def test_face_box_mask_names_the_platform_on_windows_arm64(no_mediapipe, monkeyp def test_import_failure_elsewhere_carries_the_original_error(no_mediapipe, monkeypatch): # On platforms that do have mediapipe, an import failure is a broken install, not the platform: the # user must see the real cause rather than the Windows ARM64 explanation. - from invokeai.backend.image_util import mediapipe_face - - monkeypatch.setattr(mediapipe_face.platform, "machine", lambda: "AMD64") + monkeypatch.setattr(platform, "machine", lambda: "AMD64") with pytest.raises(RuntimeError, match=r"MediaPipe failed to import.*mediapipe") as excinfo: detect_faces(_image()) assert "Windows ARM64" not in str(excinfo.value) From 2e222383a6ad7d192cf2f32b1b95ac12f674b6aa Mon Sep 17 00:00:00 2001 From: Lincoln Stein Date: Wed, 14 Oct 2026 23:33:03 -0400 Subject: [PATCH 15/26] fix(model-manager): report why bitsandbytes failed to load The optional-import guards record the first failure and log it once; the loaders' error carries it instead of asking to install a package that is installed. --- .../torch_module_autocast.py | 5 +- .../model_manager/load/model_loaders/flux.py | 12 ++-- .../patches/layers/param_shape_utils.py | 5 +- invokeai/backend/quantization/bnb_import.py | 38 ++++++++++++ tests/backend/quantization/test_bnb_import.py | 61 +++++++++++++++++++ 5 files changed, 111 insertions(+), 10 deletions(-) create mode 100644 invokeai/backend/quantization/bnb_import.py create mode 100644 tests/backend/quantization/test_bnb_import.py diff --git a/invokeai/backend/model_manager/load/model_cache/torch_module_autocast/torch_module_autocast.py b/invokeai/backend/model_manager/load/model_cache/torch_module_autocast/torch_module_autocast.py index 903a288788b..684b87f708a 100644 --- a/invokeai/backend/model_manager/load/model_cache/torch_module_autocast/torch_module_autocast.py +++ b/invokeai/backend/model_manager/load/model_cache/torch_module_autocast/torch_module_autocast.py @@ -35,6 +35,7 @@ from invokeai.backend.model_manager.load.model_cache.torch_module_autocast.custom_modules.custom_module_mixin import ( CustomModuleMixin, ) +from invokeai.backend.quantization.bnb_import import record_bnb_import_failure from invokeai.backend.quantization.int8_convrot import Int8ConvrotLinear from invokeai.backend.quantization.nvfp4 import NVFP4Linear @@ -64,8 +65,8 @@ AUTOCAST_MODULE_TYPE_MAPPING[InvokeLinear8bitLt] = CustomInvokeLinear8bitLt AUTOCAST_MODULE_TYPE_MAPPING[InvokeLinearNF4] = CustomInvokeLinearNF4 -except (ImportError, OSError, RuntimeError): # bnb may import and then fail loading its native library - pass +except (ImportError, OSError, RuntimeError) as e: # bnb may import and then fail loading its native library + record_bnb_import_failure(e) AUTOCAST_MODULE_TYPE_MAPPING_INVERSE = {v: k for k, v in AUTOCAST_MODULE_TYPE_MAPPING.items()} diff --git a/invokeai/backend/model_manager/load/model_loaders/flux.py b/invokeai/backend/model_manager/load/model_loaders/flux.py index 0f77509cdcc..e94bbb9de8c 100644 --- a/invokeai/backend/model_manager/load/model_loaders/flux.py +++ b/invokeai/backend/model_manager/load/model_loaders/flux.py @@ -84,6 +84,7 @@ from invokeai.backend.model_manager.util.model_util import ( convert_bundle_to_flux_transformer_checkpoint, ) +from invokeai.backend.quantization.bnb_import import bnb_unavailable_message, record_bnb_import_failure from invokeai.backend.quantization.fp8_scaled import ( Fp8ScaledLayer, attach_fp8_scales, @@ -128,7 +129,8 @@ from invokeai.backend.quantization.bnb_nf4 import quantize_model_nf4 bnb_available = True -except (ImportError, OSError, RuntimeError): # bnb may import and then fail loading its native library +except (ImportError, OSError, RuntimeError) as e: # bnb may import and then fail loading its native library + record_bnb_import_failure(e) bnb_available = False app_config = get_config() @@ -355,9 +357,7 @@ def _load_model( if not isinstance(config, T5Encoder_BnBLLMint8_Config): raise ValueError("Only T5EncoderBnbQuantizedLlmInt8bConfig models are currently supported here.") if not bnb_available: - raise ImportError( - "The bnb modules are not available. Please install bitsandbytes if available on your platform." - ) + raise ImportError(bnb_unavailable_message()) match submodel_type: case SubModelType.Tokenizer2 | SubModelType.Tokenizer3: return T5Tokenizer.from_pretrained( @@ -1005,9 +1005,7 @@ def _load_from_singlefile( ) -> AnyModel: assert isinstance(config, Main_BnBNF4_FLUX_Config) if not bnb_available: - raise ImportError( - "The bnb modules are not available. Please install bitsandbytes if available on your platform." - ) + raise ImportError(bnb_unavailable_message()) model_path = Path(config.path) with SilenceWarnings(): diff --git a/invokeai/backend/patches/layers/param_shape_utils.py b/invokeai/backend/patches/layers/param_shape_utils.py index db992797e98..d1c2778f89f 100644 --- a/invokeai/backend/patches/layers/param_shape_utils.py +++ b/invokeai/backend/patches/layers/param_shape_utils.py @@ -1,10 +1,13 @@ import torch +from invokeai.backend.quantization.bnb_import import record_bnb_import_failure + try: from bitsandbytes.nn.modules import Params4bit bnb_available: bool = True -except (ImportError, OSError, RuntimeError): # bnb may import and then fail loading its native library +except (ImportError, OSError, RuntimeError) as e: # bnb may import and then fail loading its native library + record_bnb_import_failure(e) bnb_available: bool = False diff --git a/invokeai/backend/quantization/bnb_import.py b/invokeai/backend/quantization/bnb_import.py new file mode 100644 index 00000000000..27b55d36ca5 --- /dev/null +++ b/invokeai/backend/quantization/bnb_import.py @@ -0,0 +1,38 @@ +"""Why bitsandbytes could not be loaded, for the guards that carry on without it. + +Several modules import bitsandbytes optionally and degrade when it fails. bitsandbytes may be absent (macOS) or +installed and fail to load its native library; only the second is a fault worth reporting, and the error that +says why is gone by the time a load needs bitsandbytes. Kept apart from the bnb modules so it imports without +bitsandbytes. +""" + +from typing import Optional + +from invokeai.backend.util.logging import InvokeAILogger + +logger = InvokeAILogger.get_logger(__name__) + +_failure: Optional[BaseException] = None + + +def _is_absent(error: BaseException) -> bool: + return isinstance(error, ModuleNotFoundError) and (error.name or "").partition(".")[0] == "bitsandbytes" + + +def record_bnb_import_failure(error: BaseException) -> None: + """Keep the first failure, and log it once unless bitsandbytes is simply not installed.""" + global _failure + if _failure is not None: + return + _failure = error + if not _is_absent(error): + logger.warning( + f"bitsandbytes is installed but failed to load; bitsandbytes-quantized models will not load: {error!r}" + ) + + +def bnb_unavailable_message() -> str: + """The error text for a load that needs bitsandbytes when it is unavailable.""" + if _failure is None or _is_absent(_failure): + return "The bnb modules are not available. Please install bitsandbytes if available on your platform." + return f"bitsandbytes is installed but failed to load: {_failure!r}" diff --git a/tests/backend/quantization/test_bnb_import.py b/tests/backend/quantization/test_bnb_import.py new file mode 100644 index 00000000000..48cf4efacba --- /dev/null +++ b/tests/backend/quantization/test_bnb_import.py @@ -0,0 +1,61 @@ +"""A bitsandbytes that is installed but fails to load must be reported as such, not as "please install it".""" + +from unittest.mock import MagicMock + +import pytest + +from invokeai.backend.model_manager.configs.t5_encoder import T5Encoder_BnBLLMint8_Config +from invokeai.backend.model_manager.load.model_loaders import flux +from invokeai.backend.quantization import bnb_import + + +class _RecordingLogger: + def __init__(self) -> None: + self.warnings: list[str] = [] + + def warning(self, message: str) -> None: + self.warnings.append(message) + + +@pytest.fixture +def fresh_state(monkeypatch) -> _RecordingLogger: + recorder = _RecordingLogger() + monkeypatch.setattr(bnb_import, "_failure", None) + monkeypatch.setattr(bnb_import, "logger", recorder) + return recorder + + +def test_a_missing_bitsandbytes_is_quiet_and_asks_for_an_install(fresh_state: _RecordingLogger) -> None: + missing = ModuleNotFoundError("No module named 'bitsandbytes'", name="bitsandbytes") + bnb_import.record_bnb_import_failure(missing) + + assert fresh_state.warnings == [] + assert "Please install bitsandbytes" in bnb_import.bnb_unavailable_message() + + +def test_a_broken_bitsandbytes_is_logged_once_and_named_at_load_time(fresh_state: _RecordingLogger) -> None: + broken = OSError("libbitsandbytes_cuda134.dll: cannot open shared object file") + # Every optional-import guard records the same failure. + for error in (broken, broken, RuntimeError("second guard")): + bnb_import.record_bnb_import_failure(error) + + assert len(fresh_state.warnings) == 1 + assert "libbitsandbytes_cuda134.dll" in fresh_state.warnings[0] + message = bnb_import.bnb_unavailable_message() + assert "libbitsandbytes_cuda134.dll" in message + assert "Please install" not in message + + +def test_a_missing_dependency_of_bitsandbytes_is_a_failure_not_an_absence(fresh_state: _RecordingLogger) -> None: + bnb_import.record_bnb_import_failure(ModuleNotFoundError("No module named 'scipy'", name="scipy")) + + assert len(fresh_state.warnings) == 1 + assert "scipy" in bnb_import.bnb_unavailable_message() + + +def test_the_bnb_loader_raises_the_recorded_error(fresh_state: _RecordingLogger, monkeypatch) -> None: + monkeypatch.setattr(flux, "bnb_available", False) + bnb_import.record_bnb_import_failure(OSError("libbitsandbytes_cuda134.dll not found")) + + with pytest.raises(ImportError, match="libbitsandbytes_cuda134.dll"): + flux.BnbQuantizedLlmInt8bCheckpointModel._load_model(MagicMock(), T5Encoder_BnBLLMint8_Config.model_construct()) From 9a2823d33bc1780acb055ba5643568954a8cf674 Mon Sep 17 00:00:00 2001 From: Lincoln Stein Date: Wed, 14 Oct 2026 23:33:04 -0400 Subject: [PATCH 16/26] test: confine Windows ARM64 skips and the stream-capture shim to that platform Missing mediapipe, numba or brotli is tolerated only on Windows ARM64, and the shim no longer leaks into the rest of the suite. Docs cover the x64-Python update failure and the patchmatch startup error on ARM64. --- .../docs/configuration/Optimization/patchmatch.mdx | 2 +- .../content/docs/start-here/system-requirements.mdx | 2 +- docs/src/content/docs/troubleshooting/faq.mdx | 4 ++++ tests/app/routers/test_utilities.py | 6 ++++-- tests/backend/util/test_devices.py | 11 +++++++++-- tests/backend/util/test_rocm_sdpa_head_dim_guard.py | 3 +++ tests/conftest.py | 6 +++++- tests/test_imports.py | 7 +++++-- 8 files changed, 32 insertions(+), 9 deletions(-) diff --git a/docs/src/content/docs/configuration/Optimization/patchmatch.mdx b/docs/src/content/docs/configuration/Optimization/patchmatch.mdx index 451d3be8237..4be5e3978c6 100644 --- a/docs/src/content/docs/configuration/Optimization/patchmatch.mdx +++ b/docs/src/content/docs/configuration/Optimization/patchmatch.mdx @@ -29,7 +29,7 @@ Unfortunately, installation can be somewhat challenging, as it requires some thi - You're in luck! On Windows x64 PyPatchMatch will install automatically with no extra intervention. There is no prebuilt library for Windows on ARM64, where the `patchmatch` infill method is unavailable. + You're in luck! On Windows x64 PyPatchMatch will install automatically with no extra intervention. There is no prebuilt library for Windows on ARM64, where the `patchmatch` infill method is unavailable. Every startup there logs `ERROR patchmatch failed to load or compile`; that message is expected on ARM64 and can be ignored. You need to have opencv installed so that pypatchmatch can be built: diff --git a/docs/src/content/docs/start-here/system-requirements.mdx b/docs/src/content/docs/start-here/system-requirements.mdx index 8fc1fcf19d2..e33eaeacceb 100644 --- a/docs/src/content/docs/start-here/system-requirements.mdx +++ b/docs/src/content/docs/start-here/system-requirements.mdx @@ -128,7 +128,7 @@ Requirements: - NVIDIA's RTX Spark Developer Driver, 616.41 or later, and Windows 11 ARM64. NVIDIA's [RTX Spark developer page] has the driver and the porting guide; the CUDA Toolkit itself is not needed, the torch wheel bundles its CUDA 13.4 libraries. - Python **3.12**, as a native ARM64 build. An x86_64 Python runs under emulation but cannot load the ARM64 torch wheel. `uv` installs an x86_64 interpreter on ARM64 Windows unless asked for the native one: request `cpython-3.12-windows-aarch64-none` (see the [manual install](../manual) guide). -- torch comes from NVIDIA's index (`https://pypi.nvidia.com/nvtorch_oot/`), not from PyTorch's, and the torch wheel is 1.85 GB. `uv sync` from a source checkout handles this automatically; a manual `uv pip install` needs the `--index` and `--find-links` options from the manual install guide. The Invoke Launcher does not support Windows ARM64 yet; use the manual install until a launcher release adds it. +- torch comes from NVIDIA's index (`https://pypi.nvidia.com/nvtorch_oot/`), not from PyTorch's, and the torch wheel is 1.85 GB. `uv sync` from a source checkout handles this automatically; a manual `uv pip install` needs the `--index` and `--find-links` options from the manual install guide. The Invoke Launcher does not support Windows ARM64 yet; use the manual install until a launcher release adds it. An existing launcher install on ARM64 runs an emulated x86_64 Python and cannot update to this release; see the [FAQ](../../troubleshooting/faq#updating-fails-on-windows-on-arm64-with-a-torch-or-win_amd64-error). - An `ffmpeg` on `PATH` (or the `IMAGEIO_FFMPEG_EXE` environment variable) for the video nodes and video thumbnails. On other platforms the `imageio-ffmpeg` package bundles one; it has no ARM64 build. Differences from Windows x64, all because the underlying package has no Windows ARM64 build: diff --git a/docs/src/content/docs/troubleshooting/faq.mdx b/docs/src/content/docs/troubleshooting/faq.mdx index 7c93e334f6a..c272c0e78e6 100644 --- a/docs/src/content/docs/troubleshooting/faq.mdx +++ b/docs/src/content/docs/troubleshooting/faq.mdx @@ -50,6 +50,10 @@ This can be safely ignored. Invoke doesn't use Triton, but if you are on Linux a Video nodes and video thumbnails use `ffmpeg`. On every other platform the `imageio-ffmpeg` package bundles the binary; it has no Windows ARM64 build, so on ARM64 Invoke uses the `ffmpeg` on your `PATH`. Install one (an x64 build runs under Windows' emulation) or point the `IMAGEIO_FFMPEG_EXE` environment variable at an `ffmpeg.exe`, then restart Invoke. +## Updating fails on Windows on ARM64 with a torch or `win_amd64` error + +Your install uses an x86_64 Python running under Windows' emulation, which is what the Invoke Launcher and `uv` set up on ARM64 Windows unless asked for the native interpreter. Python 3.12 reports the physical ARM64 CPU even when emulated, so the installer selects the ARM64 packages, which an x86_64 Python cannot install: the only torch build for Windows ARM64 is NVIDIA's native one. Reinstall with a native ARM64 Python as described in the [manual install](../../start-here/manual) guide (request `cpython-3.12-windows-aarch64-none`); your models, images and database stay where they are. + ## Unable to Copy on Firefox Firefox does not allow Invoke to directly access the clipboard by default. As a result, you may be unable to use certain copy functions. You can fix this by configuring Firefox to allow access to write to the clipboard: diff --git a/tests/app/routers/test_utilities.py b/tests/app/routers/test_utilities.py index bd3213dbaa5..8e62f4c34e8 100644 --- a/tests/app/routers/test_utilities.py +++ b/tests/app/routers/test_utilities.py @@ -20,6 +20,7 @@ from invokeai.app.services.image_records.image_records_common import ImageCategory, ResourceOrigin from invokeai.app.services.invoker import Invoker +from invokeai.backend.util.host_platform import is_windows_arm64 def _save_image(mock_invoker: Invoker, image_name: str, user_id: str) -> None: @@ -245,8 +246,9 @@ def test_list_user_fonts_reads_real_woff2_file( fonts_dir = mock_invoker.services.configuration.fonts_path fonts_dir.mkdir(parents=True, exist_ok=True) source_font = Path(__file__).parents[3] / "invokeai" / "assets" / "fonts" / "inter" / "Inter-Regular.ttf" - # fontTools encodes woff2 through brotli, which has no Windows ARM64 wheel (the `woff` extra is dropped there). - pytest.importorskip("brotli", reason="woff2 encoding needs brotli, absent on this platform") + if is_windows_arm64(): + # fontTools encodes woff2 through brotli, which has no Windows ARM64 wheel (the `woff` extra is dropped there). + pytest.importorskip("brotli", reason="woff2 encoding needs brotli, which has no Windows ARM64 wheel") font = TTFont(source_font) try: font.flavor = "woff2" diff --git a/tests/backend/util/test_devices.py b/tests/backend/util/test_devices.py index 02d8677fa2f..e3fa9925806 100644 --- a/tests/backend/util/test_devices.py +++ b/tests/backend/util/test_devices.py @@ -933,15 +933,22 @@ class TestCudaStreamCaptureShim: def _cuda_build_without_device(monkeypatch) -> None: monkeypatch.setattr(torch.version, "cuda", "13.4") monkeypatch.setattr(torch.cuda, "is_available", lambda: False) - # Restore the original function after the test, whatever the shim did. - monkeypatch.setattr(torch.cuda, "is_current_stream_capturing", torch.cuda.is_current_stream_capturing) + + # A fresh, unshimmed stand-in for torch's function (the shim may already be live in this process), raising + # as torch does without a device; monkeypatch restores whatever was there before. + def is_current_stream_capturing() -> bool: + raise RuntimeError("no CUDA device") + + monkeypatch.setattr(torch.cuda, "is_current_stream_capturing", is_current_stream_capturing) def test_answers_false_without_a_device_and_installs_once(self, monkeypatch): from invokeai.backend.util.devices import install_cuda_stream_capture_shim self._cuda_build_without_device(monkeypatch) + unshimmed = torch.cuda.is_current_stream_capturing install_cuda_stream_capture_shim() shim = torch.cuda.is_current_stream_capturing + assert shim is not unshimmed, "the shim must replace the function" assert shim() is False install_cuda_stream_capture_shim() assert torch.cuda.is_current_stream_capturing is shim, "a second install must not wrap the shim" diff --git a/tests/backend/util/test_rocm_sdpa_head_dim_guard.py b/tests/backend/util/test_rocm_sdpa_head_dim_guard.py index 9c36627a791..4dba5b6b731 100644 --- a/tests/backend/util/test_rocm_sdpa_head_dim_guard.py +++ b/tests/backend/util/test_rocm_sdpa_head_dim_guard.py @@ -157,6 +157,9 @@ def test_apply_monkeypatches_installs_the_guard(self, monkeypatch): # Pin both entry points apply_monkeypatches rebinds so monkeypatch restores them afterwards. monkeypatch.setattr(F, "scaled_dot_product_attention", original) monkeypatch.setattr(torch.cuda, "empty_cache", torch.cuda.empty_cache) + # And the stream-capture shim, which a CUDA build without a device (Linux CI) would otherwise keep for the + # rest of the worker. + monkeypatch.setattr(torch.cuda, "is_current_stream_capturing", torch.cuda.is_current_stream_capturing) monkeypatch.setattr(attention, "_IS_ROCM", True) apply_monkeypatches() diff --git a/tests/conftest.py b/tests/conftest.py index 87d40e87b7b..83657ffec8b 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -40,6 +40,7 @@ from invokeai.app.services.wildcard_records.wildcard_records_default import WildcardRecordsStorage from invokeai.app.services.workflow_records.workflow_records_default import WorkflowRecordsStorage from invokeai.backend.util.devices import install_cuda_stream_capture_shim +from invokeai.backend.util.host_platform import is_windows_arm64 from invokeai.backend.util.logging import InvokeAILogger from tests.backend.model_manager.model_manager_fixtures import * # noqa: F403 from tests.fixtures.database import ( # noqa: F401 @@ -56,7 +57,10 @@ # The app installs this from apply_monkeypatches(); the suite runs real transformers forwards on the CPU, so on a # CUDA torch build without a device (NVIDIA's Windows ARM64 build on a GPU-less runner) it needs the same shim. -install_cuda_stream_capture_shim() +# Only there: every other CUDA build raises rather than crashes, and a process-wide patch would hide what the +# rest of the suite runs against (Linux CI is a CUDA build without a GPU, too). +if is_windows_arm64(): + install_cuda_stream_capture_shim() # Fixtures that put a test on the backend under test, which `-m uses_database` selects. _DATABASE_FIXTURES = {"empty_database", "database"} diff --git a/tests/test_imports.py b/tests/test_imports.py index 4a07f1126f0..ba0d4e204e1 100644 --- a/tests/test_imports.py +++ b/tests/test_imports.py @@ -5,6 +5,7 @@ import textwrap import invokeai +from invokeai.backend.util.host_platform import is_windows_arm64 KNOWN_IMPORT_ERRORS = { "invokeai.backend.image_util.normal_bae.nets.submodules.efficientnet_repo.setup", @@ -21,9 +22,11 @@ "invokeai.backend.image_util.normal_bae.nets.submodules.efficientnet_repo.hubconf", "invokeai.backend.quantization.bnb_nf4", "invokeai.backend.quantization.bnb_llm_int8", - # mediapipe has no Windows ARM64 build; this module is imported lazily by the face nodes. - "invokeai.backend.image_util.mediapipe_face.mediapipe_face_common", } +if is_windows_arm64(): + # mediapipe has no Windows ARM64 build; this module is imported lazily by the face nodes. Everywhere + # else mediapipe is installed, so this module failing to import is a real regression. + KNOWN_IMPORT_ERRORS.add("invokeai.backend.image_util.mediapipe_face.mediapipe_face_common") def test_invokeai_imports(): From d955e5f53a312a2a3f94dcbabbb78f8ff88ec154 Mon Sep 17 00:00:00 2001 From: Lincoln Stein Date: Sun, 18 Oct 2026 12:40:25 -0400 Subject: [PATCH 17/26] ci(windows-arm64): report each test result and time out hung tests --- .github/workflows/python-tests.yml | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/.github/workflows/python-tests.yml b/.github/workflows/python-tests.yml index 5bdb2e2da6f..44a3187d367 100644 --- a/.github/workflows/python-tests.yml +++ b/.github/workflows/python-tests.yml @@ -93,7 +93,11 @@ jobs: # Two workers for the same reason as windows-cpu. The job also downloads the NVIDIA torch # wheel and builds imageio-ffmpeg from its sdist (~18 min at four workers). pytest-workers: '2' - timeout-minutes: 60 + # The lane runs close to its timeout, so a cancelled run must still name what failed or stalled: + # -v prints each result as it lands (pytest's summary never prints on a cancelled job), and a + # per-test timeout turns a hang into a failure with a traceback. + pytest-args: '-v --timeout=600 --durations=40' + timeout-minutes: 90 name: 'py${{ matrix.python-version }}: ${{ matrix.platform }}' runs-on: ${{ matrix.os }} # Per platform: expected run time is 8-14 min on linux and macos, longer on windows, which @@ -190,7 +194,7 @@ jobs: # the vCPUs a standard runner exposes. Much of the suite waits on timers and polls, so # one worker per vCPU is the right level where the runner has the headroom for it. The # matrix carries the count, because windows needs a lower one. - run: uv run --no-sync pytest -n ${{ matrix.pytest-workers }} --max-worker-restart=0 -m "${{ matrix.pytest-markers || 'not slow' }}" + run: uv run --no-sync pytest -n ${{ matrix.pytest-workers }} --max-worker-restart=0 -m "${{ matrix.pytest-markers || 'not slow' }}" ${{ matrix.pytest-args }} # Decides whether the external-database job runs. That job's service containers start before any of its # steps, so the decision has to come from a job of its own: otherwise every pull request, frontend-only ones From b35e67aec59a21562db4dfab6a6cee14fd149d51 Mon Sep 17 00:00:00 2001 From: Lincoln Stein Date: Sun, 18 Oct 2026 12:46:20 -0400 Subject: [PATCH 18/26] fix: address the second review of Windows ARM64 support Image map: only a stored PCA map goes stale once UMAP imports; the method check skips the thread hop off ARM64. The stream-capture shim installs only on Windows ARM64; bcrypt tests cover >72-byte and $2a$/$2y$ passlib hashes; the wheel workflow passes matrix values through env and pins setup-uv. --- .github/workflows/build-win-arm64-wheels.yml | 16 +++++++++++----- docs/src/content/docs/start-here/manual.mdx | 2 +- invokeai/app/api/routers/image_map.py | 12 ++++++++---- .../app/services/image_index/projection.py | 12 ++++++++---- .../image_util/mediapipe_face/__init__.py | 2 +- invokeai/backend/util/devices.py | 19 ++++++++++--------- .../app/services/auth/test_password_utils.py | 17 +++++++++++++++++ .../services/image_index/test_projection.py | 10 ++++++++++ .../image_util/test_mediapipe_face_gate.py | 10 +++++----- tests/backend/util/test_devices.py | 11 +++++++++++ .../util/test_rocm_sdpa_head_dim_guard.py | 3 +-- 11 files changed, 83 insertions(+), 31 deletions(-) diff --git a/.github/workflows/build-win-arm64-wheels.yml b/.github/workflows/build-win-arm64-wheels.yml index a3be187a75c..efc5adff6c0 100644 --- a/.github/workflows/build-win-arm64-wheels.yml +++ b/.github/workflows/build-win-arm64-wheels.yml @@ -81,7 +81,7 @@ jobs: sparse-checkout: scripts/win_arm64_wheels - name: setup uv - uses: astral-sh/setup-uv@v8.1.0 + uses: astral-sh/setup-uv@08807647e7069bb48b6ef5acd8ec9567f424441b # v8.1.0 with: version: ${{ env.UV_VERSION }} python-version: ${{ env.PYTHON_REQUEST }} @@ -147,7 +147,7 @@ jobs: import: tiktoken steps: - name: setup uv - uses: astral-sh/setup-uv@v8.1.0 + uses: astral-sh/setup-uv@08807647e7069bb48b6ef5acd8ec9567f424441b # v8.1.0 with: version: ${{ env.UV_VERSION }} python-version: ${{ env.PYTHON_REQUEST }} @@ -161,21 +161,27 @@ jobs: - name: build wheel shell: pwsh + # Through env, not interpolated into the script: the version comes from a dispatch input. + env: + PACKAGE: ${{ matrix.package }} + PACKAGE_VERSION: ${{ matrix.version }} run: | uv venv build-venv --python $env:PYTHON_REQUEST $py = "build-venv\Scripts\python.exe" & $py -c "import platform; assert platform.machine() == 'ARM64', platform.machine()" uv pip install --python $py pip - & $py -m pip wheel "${{ matrix.package }}==${{ matrix.version }}" --no-binary :all: --no-deps --wheel-dir dist + & $py -m pip wheel "$($env:PACKAGE)==$($env:PACKAGE_VERSION)" --no-binary :all: --no-deps --wheel-dir dist Get-ChildItem dist - name: smoke test shell: pwsh + env: + IMPORT_NAME: ${{ matrix.import }} run: | uv venv smoke --python $env:PYTHON_REQUEST $py = "smoke\Scripts\python.exe" uv pip install --python $py (Get-ChildItem dist\*.whl).FullName - & $py -c "import ${{ matrix.import }} as m; print(getattr(m, '__version__', 'ok'))" + & $py -c "import importlib, os; m = importlib.import_module(os.environ['IMPORT_NAME']); print(getattr(m, '__version__', 'ok'))" - name: upload uses: actions/upload-artifact@v6 @@ -214,7 +220,7 @@ jobs: cat dist/index.html - name: setup uv - uses: astral-sh/setup-uv@v8.1.0 + uses: astral-sh/setup-uv@08807647e7069bb48b6ef5acd8ec9567f424441b # v8.1.0 with: version: ${{ env.UV_VERSION }} diff --git a/docs/src/content/docs/start-here/manual.mdx b/docs/src/content/docs/start-here/manual.mdx index 99b04565ee9..6e7c7f3ccaf 100644 --- a/docs/src/content/docs/start-here/manual.mdx +++ b/docs/src/content/docs/start-here/manual.mdx @@ -128,7 +128,7 @@ The following commands vary depending on the version of Invoke being installed a ``` `` is `gfx1201` for the RX 9070 series and Radeon AI PRO R9700, `gfx1200` for the RX 9060 series, `gfx1100` for the RX 7900 series, `gfx1101` for the RX 7700 and 7800 series, `gfx1102` for the RX 7600 series, and `gfx1151` for Ryzen AI Max. For other GPUs, see AMD's [GPU target table](https://github.com/ROCm/TheRock/blob/main/RELEASES.md#gfx-target-lookup-table). - + Do not use a torch backend. torch comes from NVIDIA's own index, and three packages that have no ARM64 build on PyPI (OpenCV, blake3, tiktoken) come from wheels Invoke publishes. Use these two options instead of `--torch-backend`: ```sh --index https://pypi.nvidia.com/nvtorch_oot/ --find-links https://github.com/invoke-ai/InvokeAI/releases/download/win-arm64-wheels-v1/index.html diff --git a/invokeai/app/api/routers/image_map.py b/invokeai/app/api/routers/image_map.py index 9ea3724f1d2..88a88fba6fa 100644 --- a/invokeai/app/api/routers/image_map.py +++ b/invokeai/app/api/routers/image_map.py @@ -45,6 +45,7 @@ ) from invokeai.app.services.image_records.image_records_common import ImageRecordNotFoundException from invokeai.app.services.video_records.video_records_common import VideoRecordNotFoundException +from invokeai.backend.util.host_platform import is_windows_arm64 image_map_router = APIRouter(prefix="/v1/image_map", tags=["image_map"]) @@ -457,10 +458,13 @@ async def get_image_map_points( ) current_hash = scope_hash(model_id, current_items) - # Off the event loop: on Windows ARM64 the method check may import umap-learn the first time. - stale = record.scope_hash != current_hash or not await asyncio.to_thread( - projection_method_is_current, record.params, record.point_count - ) + stale = record.scope_hash != current_hash + if not stale: + if is_windows_arm64(): + # Off the event loop: there the method check may import umap-learn the first time. + stale = not await asyncio.to_thread(projection_method_is_current, record.params, record.point_count) + else: + stale = not projection_method_is_current(record.params, record.point_count) if stale: services.image_index.request_projection(user_id, all_images=is_admin) diff --git a/invokeai/app/services/image_index/projection.py b/invokeai/app/services/image_index/projection.py index 4fbc9389e3e..7d616e91cb6 100644 --- a/invokeai/app/services/image_index/projection.py +++ b/invokeai/app/services/image_index/projection.py @@ -65,12 +65,16 @@ def projection_method(n_points: int) -> str: def projection_method_is_current(params: str, point_count: int) -> bool: - """Whether a cached map was projected the way a fit would project it now. + """Whether a cached map can be served without refitting it for its method. - A PCA map drawn because umap-learn was missing is stale once it imports, though its scope is unchanged. - Maps of three points or fewer are always PCA, and a failed (empty) one is left to the retry budget. + Only a PCA map drawn because umap-learn was missing goes stale, once umap imports, though its scope is + unchanged. The other direction is kept: a UMAP map on a host without umap (a database copied from x64, + or a row from before the method was recorded) is a better map than the PCA a refit would draw. Maps of + three points or fewer are always PCA, and a failed (empty) one is left to the retry budget. """ - return point_count <= 3 or stored_projection_method(params) == projection_method(point_count) + if point_count <= 3 or stored_projection_method(params) != "pca": + return True + return projection_method(point_count) == "pca" def stored_projection_method(params: str) -> str: diff --git a/invokeai/backend/image_util/mediapipe_face/__init__.py b/invokeai/backend/image_util/mediapipe_face/__init__.py index d33945428cd..a5115dfa2e1 100644 --- a/invokeai/backend/image_util/mediapipe_face/__init__.py +++ b/invokeai/backend/image_util/mediapipe_face/__init__.py @@ -18,7 +18,7 @@ def mediapipe_import_error(error: ImportError) -> RuntimeError: """The error to raise when mediapipe cannot be imported. Names the platform only where the platform is the cause; elsewhere an import failure is a broken - install (a protobuf mismatch, say) and the message must carry the original error. + install (a missing native library, say) and the message must carry the original error. """ if is_windows_arm64(): return RuntimeError(MEDIAPIPE_UNAVAILABLE_MESSAGE) diff --git a/invokeai/backend/util/devices.py b/invokeai/backend/util/devices.py index 1ce6a51769a..b648adc0c8f 100644 --- a/invokeai/backend/util/devices.py +++ b/invokeai/backend/util/devices.py @@ -8,6 +8,7 @@ from deprecated import deprecated from invokeai.app.services.config.config_default import get_config +from invokeai.backend.util.host_platform import is_windows_arm64 from invokeai.backend.util.level_zero import xpu_device_is_integrated, xpu_memory_info from invokeai.backend.util.logging import InvokeAILogger from invokeai.backend.util.wddm import video_memory_budget @@ -613,16 +614,16 @@ def choose_anima_inference_dtype(cls, device: Optional[torch.device] = None) -> def install_cuda_stream_capture_shim() -> None: - """On a CUDA torch build with no usable device, make ``torch.cuda.is_current_stream_capturing()`` answer False. - - Every torch build raises there, except NVIDIA's out-of-tree CUDA 13.4 build for Windows ARM64, which dies - with an access violation. transformers calls it on every forward pass (``masking_utils`` via ``is_tracing``) - inside a try/except that expects the raise, so on a Windows ARM64 machine without an NVIDIA GPU any text - encoder or LLM forward would take the process down. Without a device there is no stream to capture, and - False is what torch answers on every other build once its CUDA init fails. Idempotent; a no-op wherever - CUDA works or the build has no CUDA at all. + """On Windows ARM64 with no usable CUDA device, make ``torch.cuda.is_current_stream_capturing()`` answer False. + + NVIDIA's out-of-tree CUDA 13.4 build, the only torch for Windows ARM64, dies there with an access violation + instead of raising as other CUDA builds do without a device. transformers calls it on every forward pass + (``masking_utils`` via ``is_tracing``) inside a try/except that expects the raise, so on a Windows ARM64 + machine without an NVIDIA GPU any text encoder or LLM forward would take the process down. Without a device + there is no stream to capture, so False is the true answer. Limited to that platform so every other build + keeps torch's own behaviour. Idempotent; a no-op where CUDA works or the build has no CUDA. """ - if torch.version.cuda is None or torch.cuda.is_available(): + if not is_windows_arm64() or torch.version.cuda is None or torch.cuda.is_available(): return if getattr(torch.cuda.is_current_stream_capturing, _STREAM_CAPTURE_SHIM_SENTINEL, False): return diff --git a/tests/app/services/auth/test_password_utils.py b/tests/app/services/auth/test_password_utils.py index ca8aef693e7..12e5b283cae 100644 --- a/tests/app/services/auth/test_password_utils.py +++ b/tests/app/services/auth/test_password_utils.py @@ -19,6 +19,23 @@ def test_verifies_hash_produced_by_the_former_passlib_implementation(self): assert verify_password("TestPassword123", legacy_hash) assert not verify_password("testpassword123", legacy_hash) + # Produced by the former implementation (passlib 1.7.4 over bcrypt 3.2.2, truncating to 72 bytes first) and + # by passlib's other bcrypt idents, which databases may also hold. + @pytest.mark.parametrize( + ("password", "legacy_hash"), + [ + ("Aa1!" * 30, "$2b$12$ddt8q/BIWlmCzCMWijx2C.7XMy3T0dtKjrc8xgWdtfHoIGc5w56bG"), + # The 72-byte cut falls inside "密", which both implementations drop whole. + ("x" * 71 + "密码pass", "$2b$12$3bh/K5hWFVUW2OYgkzjFAOQRzXFhL9ZG3pFtLksqTUjhJya/ZS5uu"), + ("TestPassword123", "$2a$04$GF5lRdgHdddHq4cmCheeKegk0r.woUyO/p2bMMJwCLdtqONSG1aG2"), + ("TestPassword123", "$2y$04$ak.kp3tXjCw7ffU4dlHzOukAxsQWPbFtmTHc4pJE5bS1EBqYbGKEG"), + ], + ids=["over-72-ascii", "over-72-split-utf8", "2a", "2y"], + ) + def test_verifies_other_legacy_passlib_hashes(self, password: str, legacy_hash: str): + assert verify_password(password, legacy_hash) + assert not verify_password("?" + password[1:], legacy_hash) + def test_hash_password_returns_different_hash_each_time(self): """Test that hashing the same password twice produces different hashes (due to salt).""" password = "TestPassword123" diff --git a/tests/app/services/image_index/test_projection.py b/tests/app/services/image_index/test_projection.py index 54715207b77..44bba3fe257 100644 --- a/tests/app/services/image_index/test_projection.py +++ b/tests/app/services/image_index/test_projection.py @@ -579,6 +579,16 @@ def test_a_pca_map_is_current_only_while_umap_is_missing(windows_arm64, monkeypa assert projection.projection_method_is_current(pca_params, 0) +def test_a_umap_map_stays_current_on_a_host_without_umap(windows_arm64, monkeypatch) -> None: + """A UMAP map copied from an x64 database, or written before the method was recorded, beats a PCA refit.""" + monkeypatch.setattr(projection, "_umap_class", lambda: None) + umap_params = json.loads(projection_params(n_points=100)) + umap_params["method"] = "umap" + assert projection.projection_method_is_current(json.dumps(umap_params), 100) + del umap_params["method"] + assert projection.projection_method_is_current(json.dumps(umap_params), 100) + + def test_pca_fallback_matches_an_svd_projection() -> None: rng = np.random.default_rng(11) # Anisotropic, so the two leading components are well separated from the rest. diff --git a/tests/backend/image_util/test_mediapipe_face_gate.py b/tests/backend/image_util/test_mediapipe_face_gate.py index 36a90899f57..9fadd1d6d2c 100644 --- a/tests/backend/image_util/test_mediapipe_face_gate.py +++ b/tests/backend/image_util/test_mediapipe_face_gate.py @@ -4,7 +4,6 @@ imported by `load_all_modules()` -- and fail with a message that names the platform when used. """ -import platform import sys import numpy as np @@ -12,6 +11,7 @@ from PIL import Image from invokeai.app.invocations.facetools import generate_face_box_mask +from invokeai.backend.image_util import mediapipe_face from invokeai.backend.image_util.mediapipe_face import MEDIAPIPE_UNAVAILABLE_MESSAGE, detect_faces @@ -28,9 +28,9 @@ def _image() -> Image.Image: return Image.fromarray(np.zeros((64, 64, 3), dtype=np.uint8)) -def _as_windows_arm64(monkeypatch) -> None: - monkeypatch.setattr(sys, "platform", "win32") - monkeypatch.setattr(platform, "machine", lambda: "ARM64") +def _as_windows_arm64(monkeypatch, on: bool = True) -> None: + # The gate's own lookup, not sys.platform: patching the interpreter's platform reaches every module. + monkeypatch.setattr(mediapipe_face, "is_windows_arm64", lambda: on) def test_detect_faces_names_the_platform_on_windows_arm64(no_mediapipe, monkeypatch): @@ -50,7 +50,7 @@ def test_face_box_mask_names_the_platform_on_windows_arm64(no_mediapipe, monkeyp def test_import_failure_elsewhere_carries_the_original_error(no_mediapipe, monkeypatch): # On platforms that do have mediapipe, an import failure is a broken install, not the platform: the # user must see the real cause rather than the Windows ARM64 explanation. - monkeypatch.setattr(platform, "machine", lambda: "AMD64") + _as_windows_arm64(monkeypatch, on=False) with pytest.raises(RuntimeError, match=r"MediaPipe failed to import.*mediapipe") as excinfo: detect_faces(_image()) assert "Windows ARM64" not in str(excinfo.value) diff --git a/tests/backend/util/test_devices.py b/tests/backend/util/test_devices.py index e3fa9925806..5bca941e44b 100644 --- a/tests/backend/util/test_devices.py +++ b/tests/backend/util/test_devices.py @@ -931,6 +931,7 @@ class TestCudaStreamCaptureShim: @staticmethod def _cuda_build_without_device(monkeypatch) -> None: + monkeypatch.setattr("invokeai.backend.util.devices.is_windows_arm64", lambda: True) monkeypatch.setattr(torch.version, "cuda", "13.4") monkeypatch.setattr(torch.cuda, "is_available", lambda: False) @@ -968,6 +969,16 @@ def test_leaves_torch_alone_where_cuda_works_or_is_absent(self, monkeypatch): install_cuda_stream_capture_shim() assert torch.cuda.is_current_stream_capturing is original + def test_leaves_torch_alone_off_windows_arm64(self, monkeypatch): + """Other CUDA builds raise without a device rather than crash; they keep torch's own function.""" + from invokeai.backend.util.devices import install_cuda_stream_capture_shim + + self._cuda_build_without_device(monkeypatch) + monkeypatch.setattr("invokeai.backend.util.devices.is_windows_arm64", lambda: False) + unshimmed = torch.cuda.is_current_stream_capturing + install_cuda_stream_capture_shim() + assert torch.cuda.is_current_stream_capturing is unshimmed + # ===== integrated GPUs on CUDA/ROCm ========================================= diff --git a/tests/backend/util/test_rocm_sdpa_head_dim_guard.py b/tests/backend/util/test_rocm_sdpa_head_dim_guard.py index 9ba81983039..f5571889c05 100644 --- a/tests/backend/util/test_rocm_sdpa_head_dim_guard.py +++ b/tests/backend/util/test_rocm_sdpa_head_dim_guard.py @@ -157,8 +157,7 @@ def test_apply_monkeypatches_installs_the_guard(self, monkeypatch): # Pin both entry points apply_monkeypatches rebinds so monkeypatch restores them afterwards. monkeypatch.setattr(F, "scaled_dot_product_attention", original) monkeypatch.setattr(torch.cuda, "empty_cache", torch.cuda.empty_cache) - # And the stream-capture shim, which a CUDA build without a device (Linux CI) would otherwise keep for the - # rest of the worker. + # And the stream-capture shim, which apply_monkeypatches installs on Windows ARM64 without a GPU. monkeypatch.setattr(torch.cuda, "is_current_stream_capturing", torch.cuda.is_current_stream_capturing) monkeypatch.setattr(attention, "_IS_ROCM", True) From c86d55206e44358fd52eb0dc033d9e8f87f933c8 Mon Sep 17 00:00:00 2001 From: Lincoln Stein Date: Sun, 18 Oct 2026 14:12:46 -0400 Subject: [PATCH 19/26] ci(windows-arm64): temporarily sample runner memory during the test lane --- .github/workflows/python-tests.yml | 20 ++++++++++++++++++++ 1 file changed, 20 insertions(+) diff --git a/.github/workflows/python-tests.yml b/.github/workflows/python-tests.yml index 44a3187d367..be6ec647b7f 100644 --- a/.github/workflows/python-tests.yml +++ b/.github/workflows/python-tests.yml @@ -188,14 +188,34 @@ jobs: # The suite never imports tiktoken, so a broken self-built wheel would otherwise pass unnoticed. run: uv run --no-sync python -c "import blake3, cv2, onnxruntime, tiktoken, torch, torchvision; print(torch.__version__, torchvision.__version__, cv2.__version__, 'cuda available:', torch.cuda.is_available())" + - name: 'diag: sample memory' + if: ${{ matrix.platform == 'windows-arm64' }} + run: | + $script = @' + while ($true) { + $os = Get-CimInstance Win32_OperatingSystem + $top = Get-Process | Sort-Object WorkingSet64 -Descending | Select-Object -First 6 | ForEach-Object { "{0}:{1}MB/{2}MB" -f $_.ProcessName, [int]($_.WorkingSet64/1MB), [int]($_.PagedMemorySize64/1MB) } + $cpu = (Get-CimInstance Win32_Processor | Measure-Object -Property LoadPercentage -Average).Average + "{0} free={1}MB commit={2}/{3}MB cpu={4}% {5}" -f (Get-Date -Format HH:mm:ss), [int]($os.FreePhysicalMemory/1KB), [int](($os.TotalVirtualMemorySize-$os.FreeVirtualMemory)/1KB), [int]($os.TotalVirtualMemorySize/1KB), $cpu, ($top -join ' ') | Out-File -Append -Encoding utf8 $env:RUNNER_TEMP\mem.log + Start-Sleep 30 + } + '@ + Set-Content $env:RUNNER_TEMP\mem.ps1 $script + Start-Process powershell -ArgumentList '-NoProfile','-File',"$env:RUNNER_TEMP\mem.ps1" -WindowStyle Hidden + - name: run pytest if: ${{ steps.changed-files.outputs.python_any_changed == 'true' || inputs.always_run == true }} + timeout-minutes: ${{ matrix.platform == 'windows-arm64' && 80 || 60 }} # `logical`, not `auto`: xdist's `auto` asks psutil for *physical* cores, which is half # the vCPUs a standard runner exposes. Much of the suite waits on timers and polls, so # one worker per vCPU is the right level where the runner has the headroom for it. The # matrix carries the count, because windows needs a lower one. run: uv run --no-sync pytest -n ${{ matrix.pytest-workers }} --max-worker-restart=0 -m "${{ matrix.pytest-markers || 'not slow' }}" ${{ matrix.pytest-args }} + - name: 'diag: memory log' + if: ${{ always() && matrix.platform == 'windows-arm64' }} + run: Get-Content $env:RUNNER_TEMP\mem.log + # Decides whether the external-database job runs. That job's service containers start before any of its # steps, so the decision has to come from a job of its own: otherwise every pull request, frontend-only ones # included, would pull both server images and wait for them to become healthy. From c62cbd42ab9fe533a252ae95fcec39a0287a79a1 Mon Sep 17 00:00:00 2001 From: Lincoln Stein Date: Sun, 18 Oct 2026 15:38:33 -0400 Subject: [PATCH 20/26] ci(windows-arm64): temporarily sample per-process CPU during the test lane --- .github/workflows/python-tests.yml | 19 +++++++++++++++---- 1 file changed, 15 insertions(+), 4 deletions(-) diff --git a/.github/workflows/python-tests.yml b/.github/workflows/python-tests.yml index be6ec647b7f..da5a7036095 100644 --- a/.github/workflows/python-tests.yml +++ b/.github/workflows/python-tests.yml @@ -192,20 +192,31 @@ jobs: if: ${{ matrix.platform == 'windows-arm64' }} run: | $script = @' + $prev = @{} while ($true) { $os = Get-CimInstance Win32_OperatingSystem - $top = Get-Process | Sort-Object WorkingSet64 -Descending | Select-Object -First 6 | ForEach-Object { "{0}:{1}MB/{2}MB" -f $_.ProcessName, [int]($_.WorkingSet64/1MB), [int]($_.PagedMemorySize64/1MB) } $cpu = (Get-CimInstance Win32_Processor | Measure-Object -Property LoadPercentage -Average).Average - "{0} free={1}MB commit={2}/{3}MB cpu={4}% {5}" -f (Get-Date -Format HH:mm:ss), [int]($os.FreePhysicalMemory/1KB), [int](($os.TotalVirtualMemorySize-$os.FreeVirtualMemory)/1KB), [int]($os.TotalVirtualMemorySize/1KB), $cpu, ($top -join ' ') | Out-File -Append -Encoding utf8 $env:RUNNER_TEMP\mem.log + $rows = foreach ($p in Get-Process) { + $t = $p.TotalProcessorTime.TotalSeconds + $d = $t - ($prev[$p.Id] ?? $t) + $prev[$p.Id] = $t + [pscustomobject]@{ P = $p; D = $d } + } + $top = $rows | Sort-Object D -Descending | Select-Object -First 5 | ForEach-Object { + $cmd = (Get-CimInstance Win32_Process -Filter "ProcessId=$($_.P.Id)").CommandLine + if ($cmd -and $cmd.Length -gt 140) { $cmd = $cmd.Substring(0, 140) } + "[{0} pid={1} ppid={2} cpu={3:N0}s thr={4} ws={5}MB start={6:HH:mm:ss} {7}]" -f $_.P.ProcessName, $_.P.Id, (Get-CimInstance Win32_Process -Filter "ProcessId=$($_.P.Id)").ParentProcessId, $_.D, $_.P.Threads.Count, [int]($_.P.WorkingSet64/1MB), $_.P.StartTime, $cmd + } + "{0} free={1}MB cpu={2}% {3}" -f (Get-Date -Format HH:mm:ss), [int]($os.FreePhysicalMemory/1KB), $cpu, ($top -join ' ') | Out-File -Append -Encoding utf8 $env:RUNNER_TEMP\mem.log Start-Sleep 30 } '@ Set-Content $env:RUNNER_TEMP\mem.ps1 $script - Start-Process powershell -ArgumentList '-NoProfile','-File',"$env:RUNNER_TEMP\mem.ps1" -WindowStyle Hidden + Start-Process pwsh -ArgumentList '-NoProfile','-File',"$env:RUNNER_TEMP\mem.ps1" -WindowStyle Hidden - name: run pytest if: ${{ steps.changed-files.outputs.python_any_changed == 'true' || inputs.always_run == true }} - timeout-minutes: ${{ matrix.platform == 'windows-arm64' && 80 || 60 }} + timeout-minutes: ${{ matrix.platform == 'windows-arm64' && 40 || 60 }} # `logical`, not `auto`: xdist's `auto` asks psutil for *physical* cores, which is half # the vCPUs a standard runner exposes. Much of the suite waits on timers and polls, so # one worker per vCPU is the right level where the runner has the headroom for it. The From 71b93a424a859c9391032b94cc462e1d0befbd04 Mon Sep 17 00:00:00 2001 From: Lincoln Stein Date: Sun, 18 Oct 2026 16:30:21 -0400 Subject: [PATCH 21/26] fix(video): stop the real ffmpeg behind a launcher shim on cancel or timeout On Windows ARM64 the ffmpeg on PATH can be a Chocolatey or Scoop shim; killing only the shim left the real binary running (an endless anullsrc in the test suite pegged the ARM64 runner's CPU). The upload conversion now runs through the same tree-killing runner. --- .github/workflows/python-tests.yml | 31 ----------------------- invokeai/app/util/video_audio.py | 28 +++++++++++++++++++-- invokeai/app/util/video_ingest.py | 10 +++----- tests/app/util/test_h264_splice.py | 40 ++++++++++++++++++++++++++++++ 4 files changed, 69 insertions(+), 40 deletions(-) diff --git a/.github/workflows/python-tests.yml b/.github/workflows/python-tests.yml index da5a7036095..44a3187d367 100644 --- a/.github/workflows/python-tests.yml +++ b/.github/workflows/python-tests.yml @@ -188,45 +188,14 @@ jobs: # The suite never imports tiktoken, so a broken self-built wheel would otherwise pass unnoticed. run: uv run --no-sync python -c "import blake3, cv2, onnxruntime, tiktoken, torch, torchvision; print(torch.__version__, torchvision.__version__, cv2.__version__, 'cuda available:', torch.cuda.is_available())" - - name: 'diag: sample memory' - if: ${{ matrix.platform == 'windows-arm64' }} - run: | - $script = @' - $prev = @{} - while ($true) { - $os = Get-CimInstance Win32_OperatingSystem - $cpu = (Get-CimInstance Win32_Processor | Measure-Object -Property LoadPercentage -Average).Average - $rows = foreach ($p in Get-Process) { - $t = $p.TotalProcessorTime.TotalSeconds - $d = $t - ($prev[$p.Id] ?? $t) - $prev[$p.Id] = $t - [pscustomobject]@{ P = $p; D = $d } - } - $top = $rows | Sort-Object D -Descending | Select-Object -First 5 | ForEach-Object { - $cmd = (Get-CimInstance Win32_Process -Filter "ProcessId=$($_.P.Id)").CommandLine - if ($cmd -and $cmd.Length -gt 140) { $cmd = $cmd.Substring(0, 140) } - "[{0} pid={1} ppid={2} cpu={3:N0}s thr={4} ws={5}MB start={6:HH:mm:ss} {7}]" -f $_.P.ProcessName, $_.P.Id, (Get-CimInstance Win32_Process -Filter "ProcessId=$($_.P.Id)").ParentProcessId, $_.D, $_.P.Threads.Count, [int]($_.P.WorkingSet64/1MB), $_.P.StartTime, $cmd - } - "{0} free={1}MB cpu={2}% {3}" -f (Get-Date -Format HH:mm:ss), [int]($os.FreePhysicalMemory/1KB), $cpu, ($top -join ' ') | Out-File -Append -Encoding utf8 $env:RUNNER_TEMP\mem.log - Start-Sleep 30 - } - '@ - Set-Content $env:RUNNER_TEMP\mem.ps1 $script - Start-Process pwsh -ArgumentList '-NoProfile','-File',"$env:RUNNER_TEMP\mem.ps1" -WindowStyle Hidden - - name: run pytest if: ${{ steps.changed-files.outputs.python_any_changed == 'true' || inputs.always_run == true }} - timeout-minutes: ${{ matrix.platform == 'windows-arm64' && 40 || 60 }} # `logical`, not `auto`: xdist's `auto` asks psutil for *physical* cores, which is half # the vCPUs a standard runner exposes. Much of the suite waits on timers and polls, so # one worker per vCPU is the right level where the runner has the headroom for it. The # matrix carries the count, because windows needs a lower one. run: uv run --no-sync pytest -n ${{ matrix.pytest-workers }} --max-worker-restart=0 -m "${{ matrix.pytest-markers || 'not slow' }}" ${{ matrix.pytest-args }} - - name: 'diag: memory log' - if: ${{ always() && matrix.platform == 'windows-arm64' }} - run: Get-Content $env:RUNNER_TEMP\mem.log - # Decides whether the external-database job runs. That job's service containers start before any of its # steps, so the decision has to come from a job of its own: otherwise every pull request, frontend-only ones # included, would pull both server images and wait for them to become healthy. diff --git a/invokeai/app/util/video_audio.py b/invokeai/app/util/video_audio.py index 2a28b259d10..aa70ac4889e 100644 --- a/invokeai/app/util/video_audio.py +++ b/invokeai/app/util/video_audio.py @@ -24,6 +24,7 @@ from typing import Callable, Optional import numpy as np +import psutil from invokeai.app.services.session_processor.session_processor_common import CanceledException @@ -45,6 +46,30 @@ def _ffmpeg_exe() -> str: return imageio_ffmpeg.get_ffmpeg_exe() +def _kill_process_tree(proc: subprocess.Popen[bytes]) -> None: + """Kill ``proc`` and its descendants, then reap it. + + The ffmpeg on ``PATH`` (Windows ARM64, where imageio-ffmpeg bundles none) can be a package + manager's launcher shim -- Chocolatey's and Scoop's are -- that runs the real binary as its + child, so killing only the shim would leave that ffmpeg running. + """ + try: + # Suspended, the shim cannot start the real binary between this listing and its kill. + shim = psutil.Process(proc.pid) + shim.suspend() + descendants = shim.children(recursive=True) + except psutil.Error: + descendants = [] + proc.kill() + for child in descendants: + try: + child.kill() + except psutil.Error: + pass + proc.wait() + psutil.wait_procs(descendants, timeout=5) + + def run_ffmpeg_process( args: list[str], timeout: float, is_canceled: Optional[Callable[[], bool]] = None ) -> subprocess.CompletedProcess[bytes]: @@ -74,8 +99,7 @@ def run_ffmpeg_process( raise subprocess.TimeoutExpired(command, timeout) finally: if proc.returncode is None: - proc.kill() - proc.wait() + _kill_process_tree(proc) # Only the tail is ever reported; a decoder logging per packet could write a great deal. stderr.seek(0, 2) stderr.seek(max(0, stderr.tell() - _STDERR_TAIL_BYTES)) diff --git a/invokeai/app/util/video_ingest.py b/invokeai/app/util/video_ingest.py index a37a8c8e571..8e4dcaf0198 100644 --- a/invokeai/app/util/video_ingest.py +++ b/invokeai/app/util/video_ingest.py @@ -23,7 +23,7 @@ which is stream-copied to avoid a needless lossy generation. The ffmpeg child gets the same hostile-input discipline as the decode worker: a hard -wall-clock timeout (``subprocess.run`` kills the child on expiry) and a post-hoc output +wall-clock timeout (``run_ffmpeg_process`` kills the child's process tree on expiry) and a post-hoc output size cap. The bundled binary ships without ffprobe, so stream layout is read from the banner ffmpeg prints for a probe-only invocation — the established fallback used by ``video_audio._probe_audio_sample_rate``. @@ -35,7 +35,7 @@ from pathlib import Path from typing import Literal, Optional -from invokeai.app.util.video_audio import AAC_ENCODER_OPTIONS +from invokeai.app.util.video_audio import AAC_ENCODER_OPTIONS, run_ffmpeg_process # Hard wall-clock bound for a single ffmpeg child (probe or convert). Matches the bound # used for audio extraction: generous enough for a worst-case ~1 GB 4K transcode on a @@ -222,11 +222,7 @@ def ingest_media_to_mp4(src: Path, dst: Path, *, max_output_bytes: int) -> Inges ] try: - proc = subprocess.run( - [_ffmpeg_exe(), "-y", "-loglevel", "error", *args], - capture_output=True, - timeout=INGEST_TIMEOUT_SECONDS, - ) + proc = run_ffmpeg_process(args, INGEST_TIMEOUT_SECONDS) except subprocess.TimeoutExpired as e: raise VideoIngestError("Timed out converting the uploaded file to MP4") from e if proc.returncode != 0: diff --git a/tests/app/util/test_h264_splice.py b/tests/app/util/test_h264_splice.py index 1ad8ae25753..cdaf031ef43 100644 --- a/tests/app/util/test_h264_splice.py +++ b/tests/app/util/test_h264_splice.py @@ -19,6 +19,7 @@ import imageio.v2 as iio2 import imageio_ffmpeg import numpy as np +import psutil import pytest from invokeai.app.services.session_processor.session_processor_common import CanceledException @@ -204,6 +205,45 @@ def spawn(*args, **kwargs) -> subprocess.Popen: assert children and children[-1].returncode is not None, "the child was left running" +def test_cancellation_kills_the_ffmpeg_a_launcher_shim_started(tmp_path: Path) -> None: + """The ffmpeg on PATH can be a launcher shim (Chocolatey, Scoop) running the real binary as its child.""" + pid_file = tmp_path / "ffmpeg.pid" + shim = tmp_path / "shim.py" + shim.write_text( + "import os, subprocess, sys\n" + "child = subprocess.Popen(sys.argv[2:])\n" + "with open(sys.argv[1] + '.tmp', 'w') as f:\n" + " f.write(str(child.pid))\n" + "os.replace(sys.argv[1] + '.tmp', sys.argv[1])\n" + "sys.exit(child.wait())\n" + ) + real_popen = subprocess.Popen + + def through_shim(command: list[str], **kwargs) -> subprocess.Popen: + return real_popen([sys.executable, str(shim), str(pid_file), *command], **kwargs) + + started = time.monotonic() + + def is_canceled() -> bool: + return pid_file.exists() or time.monotonic() - started > 60 + + with patch("invokeai.app.util.video_audio.subprocess.Popen", side_effect=through_shim): + with pytest.raises(CanceledException): + run_ffmpeg(["-f", "lavfi", "-i", "anullsrc", "-f", "null", "-"], "running forever", is_canceled) + assert pid_file.exists(), "the shim never started ffmpeg" + try: + ffmpeg = psutil.Process(int(pid_file.read_text())) + except psutil.NoSuchProcess: + return + try: + assert not ffmpeg.is_running() or ffmpeg.status() == psutil.STATUS_ZOMBIE, "the shim's ffmpeg was left running" + finally: + try: + ffmpeg.kill() + except psutil.Error: + pass + + def _grow_sample_entry( data: bytes, handler: bytes, From 54dc0e6464b38c8a7f0871823d86bc3913c7f0ef Mon Sep 17 00:00:00 2001 From: Lincoln Stein Date: Sun, 18 Oct 2026 17:07:36 -0400 Subject: [PATCH 22/26] fix(video): count frames from packets where OpenCV lacks its FFmpeg backend The Windows ARM64 OpenCV wheel decodes through Media Foundation, whose frame count comes from the container duration, so a soundtrack outlasting the video doubled it. The decode worker now counts the video stream's packets with ffmpeg there. --- .github/workflows/build-win-arm64-wheels.yml | 3 +- invokeai/app/util/video_decode_worker.py | 38 ++++++++++- tests/app/util/test_video_thumbnails.py | 67 ++++++++++++++++++++ 3 files changed, 105 insertions(+), 3 deletions(-) diff --git a/.github/workflows/build-win-arm64-wheels.yml b/.github/workflows/build-win-arm64-wheels.yml index efc5adff6c0..94b02bfef47 100644 --- a/.github/workflows/build-win-arm64-wheels.yml +++ b/.github/workflows/build-win-arm64-wheels.yml @@ -99,7 +99,8 @@ jobs: # -DPYTHON3_LIMITED_API=ON: what upstream builds with. (The wheel still comes out tagged cp312, which is # fine: 3.12 is the only supported interpreter on Windows ARM64.) # -DWITH_FFMPEG=OFF: OpenCV's ffmpeg wrapper DLL exists only for x86/x64; cv2.VideoCapture keeps the - # Media Foundation backend, and the app decodes through imageio first anyway. + # Media Foundation backend, and the app decodes through imageio first anyway. (Media Foundation's frame + # count comes from the container duration, so video_decode_worker counts packets with ffmpeg there.) # -DBUILD_opencv_rgbd=OFF: rgbd links the x86 intrinsic _tzcnt_u32 on ARM64 (opencv_contrib#3767). # -DCMAKE_SYSTEM_VERSION=10.0.22621.0: the 10.0.26100 SDK's wchar.h breaks NEON type aliasing under # MSVC for ARM64 (opencv/opencv#27401); the runner image carries both SDKs. diff --git a/invokeai/app/util/video_decode_worker.py b/invokeai/app/util/video_decode_worker.py index da8654aaa8c..c1eaea8a2fe 100644 --- a/invokeai/app/util/video_decode_worker.py +++ b/invokeai/app/util/video_decode_worker.py @@ -126,6 +126,40 @@ def _extract_frame(video_path: Path, frame_index: int) -> Optional[Image.Image]: return None +def _cv2_frame_count(capture, video_path: Path) -> int: + """The video stream's frame count as an open ``cv2.VideoCapture`` reports it, or 0 if unknown. + + Only OpenCV's FFmpeg backend reads the stream's packet count. Other backends -- Media Foundation + in Invoke's self-built Windows ARM64 wheel, which has no FFmpeg backend -- derive it from the + container duration, which a soundtrack outlasting the video stretches, so there ffmpeg counts + the packets instead. + """ + import cv2 + + if capture.getBackendName() != "FFMPEG": + count = _ffmpeg_packet_count(video_path) + if count is not None: + return count + return int(capture.get(cv2.CAP_PROP_FRAME_COUNT)) + + +def _ffmpeg_packet_count(video_path: Path) -> Optional[int]: + """Counts the first video stream's packets: ffmpeg's framecrc muxer lists one line per packet, undecoded.""" + import subprocess + + import imageio_ffmpeg + + try: + command = [imageio_ffmpeg.get_ffmpeg_exe(), "-nostdin", "-v", "error", "-i", str(video_path)] + command += ["-map", "0:v:0", "-c", "copy", "-f", "framecrc", "-"] + result = subprocess.run(command, capture_output=True) # bytes: stderr may echo a non-UTF-8 path + except (OSError, RuntimeError): # RuntimeError: imageio-ffmpeg found no ffmpeg + return None + if result.returncode != 0: + return None + return sum(1 for line in result.stdout.splitlines() if line and not line.startswith(b"#")) or None + + def _probe(video_path: Path) -> tuple[int, int, float, Optional[float], Optional[str]]: """Returns (width, height, duration_seconds, fps_or_none, codec_or_none) for a video file. @@ -157,7 +191,7 @@ def _probe(video_path: Path) -> tuple[int, int, float, Optional[float], Optional try: width = int(capture.get(cv2.CAP_PROP_FRAME_WIDTH)) height = int(capture.get(cv2.CAP_PROP_FRAME_HEIGHT)) - frame_count = int(capture.get(cv2.CAP_PROP_FRAME_COUNT)) + frame_count = _cv2_frame_count(capture, video_path) fps_raw = capture.get(cv2.CAP_PROP_FPS) fps_v2: Optional[float] = float(fps_raw) if fps_raw and fps_raw > 0 else None duration = (frame_count / fps_v2) if (fps_v2 and frame_count > 0) else 0.0 @@ -198,7 +232,7 @@ def _count(video_path: Path) -> Optional[int]: capture.release() return None try: - count = int(capture.get(cv2.CAP_PROP_FRAME_COUNT)) + count = _cv2_frame_count(capture, video_path) finally: capture.release() return count if count > 0 else None diff --git a/tests/app/util/test_video_thumbnails.py b/tests/app/util/test_video_thumbnails.py index a11b603e529..e695abf8398 100644 --- a/tests/app/util/test_video_thumbnails.py +++ b/tests/app/util/test_video_thumbnails.py @@ -1091,3 +1091,70 @@ def test_falls_back_to_frame_zero_when_metadata_overstates(self, synthetic_mp4: assert frame is not None value = np.asarray(frame)[0, 0, 0].astype(int) assert abs(value - 32) <= 8 # frame 0 + + +class TestFrameCountOffTheFfmpegBackend: + """OpenCV without its FFmpeg backend (Media Foundation, in the Windows ARM64 wheel) derives the + frame count from the container duration, which a soundtrack outlasting the video stretches.""" + + FPS = 16 + + @pytest.fixture + def clip_with_longer_audio(self, tmp_path: Path) -> Path: + import imageio_ffmpeg + + from invokeai.app.util.video_encoding import make_mp4_writer, write_stereo_wav + + video = tmp_path / "video.mp4" + writer = make_mp4_writer(video, self.FPS) + for _ in range(40): + writer.append_data(np.zeros((32, 32, 3), dtype=np.uint8)) + writer.close() + audio = tmp_path / "audio.wav" + write_stereo_wav(audio, np.zeros((2, 80 * 44100 // self.FPS), dtype=np.float32), 44100) + clip = tmp_path / "clip.mp4" + subprocess.run( + [imageio_ffmpeg.get_ffmpeg_exe(), "-y", "-loglevel", "error", "-i", str(video), "-i", str(audio)] + + ["-map", "0:v", "-map", "1:a", "-c:v", "copy", "-c:a", "aac", str(clip)], + check=True, + ) + return clip + + @pytest.fixture(autouse=True) + def media_foundation_capture(self, monkeypatch: pytest.MonkeyPatch) -> None: + import cv2 + + real_capture = cv2.VideoCapture + + class MediaFoundationCapture: + def __init__(self, path: str) -> None: + self._capture = real_capture(path) + self._duration_frames = 80.0 # the container's duration (the audio's) times the frame rate + + def isOpened(self) -> bool: + return self._capture.isOpened() + + def getBackendName(self) -> str: + return "MSMF" + + def get(self, prop: int) -> float: + return self._duration_frames if prop == cv2.CAP_PROP_FRAME_COUNT else self._capture.get(prop) + + def release(self) -> None: + self._capture.release() + + monkeypatch.setattr(cv2, "VideoCapture", MediaFoundationCapture) + + def test_count_is_the_video_stream_packets(self, clip_with_longer_audio: Path) -> None: + assert video_decode_worker._count(clip_with_longer_audio) == 40 + + def test_probe_fallback_duration_is_the_videos( + self, clip_with_longer_audio: Path, monkeypatch: pytest.MonkeyPatch + ) -> None: + def no_imageio(*_args, **_kwargs): + raise RuntimeError("force the OpenCV fallback") + + monkeypatch.setattr(video_decode_worker.iio, "immeta", no_imageio) + _width, _height, duration, fps, _codec = video_decode_worker._probe(clip_with_longer_audio) + assert fps == pytest.approx(self.FPS) + assert duration == pytest.approx(40 / self.FPS) From 88f951826eec934f9479116034dc857a86eb7ff8 Mon Sep 17 00:00:00 2001 From: Lincoln Stein Date: Sun, 18 Oct 2026 17:07:37 -0400 Subject: [PATCH 23/26] ci(windows-arm64): size the lane's timeout to its measured run time --- .github/workflows/python-tests.yml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/.github/workflows/python-tests.yml b/.github/workflows/python-tests.yml index 44a3187d367..f8b32da928c 100644 --- a/.github/workflows/python-tests.yml +++ b/.github/workflows/python-tests.yml @@ -93,11 +93,11 @@ jobs: # Two workers for the same reason as windows-cpu. The job also downloads the NVIDIA torch # wheel and builds imageio-ffmpeg from its sdist (~18 min at four workers). pytest-workers: '2' - # The lane runs close to its timeout, so a cancelled run must still name what failed or stalled: - # -v prints each result as it lands (pytest's summary never prints on a cancelled job), and a - # per-test timeout turns a hang into a failure with a traceback. - pytest-args: '-v --timeout=600 --durations=40' - timeout-minutes: 90 + # A per-test timeout turns a hang into a failure with a traceback, so pytest still reaches its summary + # inside the job timeout. + pytest-args: '--timeout=600' + # Roughly 1.5x the job's ~28 min (23 min of pytest). + timeout-minutes: 45 name: 'py${{ matrix.python-version }}: ${{ matrix.platform }}' runs-on: ${{ matrix.os }} # Per platform: expected run time is 8-14 min on linux and macos, longer on windows, which From 44b63e6876cd812c76585d2461feffc884dcb466 Mon Sep 17 00:00:00 2001 From: Lincoln Stein Date: Sun, 18 Oct 2026 17:45:30 -0400 Subject: [PATCH 24/26] ci(windows-arm64): leave the lane's timeout headroom for run-to-run variance --- .github/workflows/python-tests.yml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.github/workflows/python-tests.yml b/.github/workflows/python-tests.yml index f8b32da928c..9b9f49088c4 100644 --- a/.github/workflows/python-tests.yml +++ b/.github/workflows/python-tests.yml @@ -96,8 +96,8 @@ jobs: # A per-test timeout turns a hang into a failure with a traceback, so pytest still reaches its summary # inside the job timeout. pytest-args: '--timeout=600' - # Roughly 1.5x the job's ~28 min (23 min of pytest). - timeout-minutes: 45 + # About 1.6x the slowest measured job (37 min, 31 of them pytest; another run took 28). + timeout-minutes: 60 name: 'py${{ matrix.python-version }}: ${{ matrix.platform }}' runs-on: ${{ matrix.os }} # Per platform: expected run time is 8-14 min on linux and macos, longer on windows, which From e74b086cf5408bb78361ae9923ce70cc1173b226 Mon Sep 17 00:00:00 2001 From: Lincoln Stein Date: Mon, 19 Oct 2026 22:12:31 -0400 Subject: [PATCH 25/26] fix(video): share one process-tree kill and keep the shim's ffmpeg findable The ffmpeg runner and the thumbnail worker now use one helper that lists children even when suspending the root is denied, and skips an already-reaped process. The shim test warms imageio's binary lookup first and tracks ffmpeg by identity. --- invokeai/app/util/process_tree.py | 52 +++++++++++++++++++++++++++ invokeai/app/util/video_audio.py | 28 ++------------- invokeai/app/util/video_thumbnails.py | 18 ++-------- tests/app/util/test_h264_splice.py | 27 ++++++++++---- 4 files changed, 77 insertions(+), 48 deletions(-) create mode 100644 invokeai/app/util/process_tree.py diff --git a/invokeai/app/util/process_tree.py b/invokeai/app/util/process_tree.py new file mode 100644 index 00000000000..9617c930133 --- /dev/null +++ b/invokeai/app/util/process_tree.py @@ -0,0 +1,52 @@ +"""Stopping a child process together with every process it started.""" + +import subprocess +from typing import Any + +import psutil + + +def kill_process_tree(proc: subprocess.Popen[Any]) -> None: + """Kill ``proc`` and its descendants, then reap them. + + A command can do its work in a child: the ffmpeg on ``PATH`` (Windows ARM64, where + imageio-ffmpeg bundles none) can be a package manager's launcher shim -- Chocolatey's and + Scoop's are -- that runs the real binary as its child, so killing only ``proc`` would leave + that ffmpeg running. + + The descendants are found through ``proc``. Once it has exited they can no longer be told + apart from unrelated processes holding a reused parent PID, so they are not looked for; a + shim waits for its child, so it exits only after that child has. + """ + if proc.returncode is not None: + # Reaped already: its PID may belong to an unrelated process by now. + return + descendants: list[psutil.Process] = [] + try: + root = psutil.Process(proc.pid) + except psutil.Error: + root = None + if root is not None: + try: + # Suspended, it cannot start a child between the listing below and its kill. + root.suspend() + except psutil.Error: + pass + try: + descendants = root.children(recursive=True) + except psutil.Error: + pass + try: + proc.kill() + except OSError: + pass + for child in descendants: + try: + child.kill() + except psutil.Error: + pass + try: + proc.wait(timeout=5) + except subprocess.TimeoutExpired: + pass + psutil.wait_procs(descendants, timeout=5) diff --git a/invokeai/app/util/video_audio.py b/invokeai/app/util/video_audio.py index aa70ac4889e..0dcdb9cc492 100644 --- a/invokeai/app/util/video_audio.py +++ b/invokeai/app/util/video_audio.py @@ -24,9 +24,9 @@ from typing import Callable, Optional import numpy as np -import psutil from invokeai.app.services.session_processor.session_processor_common import CanceledException +from invokeai.app.util.process_tree import kill_process_tree # How often a running ffmpeg child is checked for cancellation, and how much of its stderr is kept. _CANCEL_POLL_SECONDS = 0.1 @@ -46,30 +46,6 @@ def _ffmpeg_exe() -> str: return imageio_ffmpeg.get_ffmpeg_exe() -def _kill_process_tree(proc: subprocess.Popen[bytes]) -> None: - """Kill ``proc`` and its descendants, then reap it. - - The ffmpeg on ``PATH`` (Windows ARM64, where imageio-ffmpeg bundles none) can be a package - manager's launcher shim -- Chocolatey's and Scoop's are -- that runs the real binary as its - child, so killing only the shim would leave that ffmpeg running. - """ - try: - # Suspended, the shim cannot start the real binary between this listing and its kill. - shim = psutil.Process(proc.pid) - shim.suspend() - descendants = shim.children(recursive=True) - except psutil.Error: - descendants = [] - proc.kill() - for child in descendants: - try: - child.kill() - except psutil.Error: - pass - proc.wait() - psutil.wait_procs(descendants, timeout=5) - - def run_ffmpeg_process( args: list[str], timeout: float, is_canceled: Optional[Callable[[], bool]] = None ) -> subprocess.CompletedProcess[bytes]: @@ -99,7 +75,7 @@ def run_ffmpeg_process( raise subprocess.TimeoutExpired(command, timeout) finally: if proc.returncode is None: - _kill_process_tree(proc) + kill_process_tree(proc) # Only the tail is ever reported; a decoder logging per packet could write a great deal. stderr.seek(0, 2) stderr.seek(max(0, stderr.tell() - _STDERR_TAIL_BYTES)) diff --git a/invokeai/app/util/video_thumbnails.py b/invokeai/app/util/video_thumbnails.py index ea23a32d81c..8e46e24b86e 100644 --- a/invokeai/app/util/video_thumbnails.py +++ b/invokeai/app/util/video_thumbnails.py @@ -31,6 +31,7 @@ from PIL import Image from invokeai.app.services.session_processor.session_processor_common import CanceledException +from invokeai.app.util.process_tree import kill_process_tree # Generous — a healthy decode of a single frame or of container metadata takes well # under a second even for large files. The timeout exists to bound adversarial or hung @@ -105,27 +106,14 @@ def _is_process_running(pid: int) -> bool: def _terminate_process_tree(proc: subprocess.Popen[Any]) -> None: """Kills a worker and every descendant it spawned.""" if os.name != "nt": + # ``_spawn_worker`` starts the worker in its own session, so its process group is the whole tree. try: os.killpg(os.getpgid(proc.pid), signal.SIGKILL) proc.wait(timeout=5) return except (OSError, subprocess.TimeoutExpired): pass - try: - parent = psutil.Process(proc.pid) - processes = parent.children(recursive=True) - processes.append(parent) - for process in processes: - try: - process.kill() - except psutil.Error: - pass - psutil.wait_procs(processes, timeout=5) - except psutil.Error: - try: - proc.kill() - except OSError: - pass + kill_process_tree(proc) def _worker_tree_rss(proc: subprocess.Popen[Any]) -> int: diff --git a/tests/app/util/test_h264_splice.py b/tests/app/util/test_h264_splice.py index cdaf031ef43..439e942b7a3 100644 --- a/tests/app/util/test_h264_splice.py +++ b/tests/app/util/test_h264_splice.py @@ -23,6 +23,7 @@ import pytest from invokeai.app.services.session_processor.session_processor_common import CanceledException +from invokeai.app.util import video_audio from invokeai.app.util.aac_splice import read_aac_layout from invokeai.app.util.h264_splice import read_h264_layout, run_ffmpeg from invokeai.app.util.video_encoding import make_mp4_writer, write_stereo_wav, writer_sample_entry @@ -205,8 +206,17 @@ def spawn(*args, **kwargs) -> subprocess.Popen: assert children and children[-1].returncode is not None, "the child was left running" -def test_cancellation_kills_the_ffmpeg_a_launcher_shim_started(tmp_path: Path) -> None: +@pytest.mark.parametrize("suspend_denied", [False, True], ids=["suspended", "suspend-denied"]) +def test_cancellation_kills_the_ffmpeg_a_launcher_shim_started( + tmp_path: Path, monkeypatch: pytest.MonkeyPatch, suspend_denied: bool +) -> None: """The ffmpeg on PATH can be a launcher shim (Chocolatey, Scoop) running the real binary as its child.""" + if suspend_denied: + + def deny(process: psutil.Process) -> None: + raise psutil.AccessDenied(process.pid) + + monkeypatch.setattr(psutil.Process, "suspend", deny) pid_file = tmp_path / "ffmpeg.pid" shim = tmp_path / "shim.py" shim.write_text( @@ -222,19 +232,22 @@ def test_cancellation_kills_the_ffmpeg_a_launcher_shim_started(tmp_path: Path) - def through_shim(command: list[str], **kwargs) -> subprocess.Popen: return real_popen([sys.executable, str(shim), str(pid_file), *command], **kwargs) + # Kept from the moment ffmpeg is seen, so the checks below cannot reach a process that reused its PID. + seen: list[psutil.Process] = [] started = time.monotonic() def is_canceled() -> bool: - return pid_file.exists() or time.monotonic() - started > 60 + if pid_file.exists() and not seen: + seen.append(psutil.Process(int(pid_file.read_text()))) + return bool(seen) or time.monotonic() - started > 60 + # Locating the binary runs a version probe on a cold cache; through the shim, its pid would be recorded instead. + video_audio._ffmpeg_exe() with patch("invokeai.app.util.video_audio.subprocess.Popen", side_effect=through_shim): with pytest.raises(CanceledException): run_ffmpeg(["-f", "lavfi", "-i", "anullsrc", "-f", "null", "-"], "running forever", is_canceled) - assert pid_file.exists(), "the shim never started ffmpeg" - try: - ffmpeg = psutil.Process(int(pid_file.read_text())) - except psutil.NoSuchProcess: - return + assert seen, "the shim never started ffmpeg" + (ffmpeg,) = seen try: assert not ffmpeg.is_running() or ffmpeg.status() == psutil.STATUS_ZOMBIE, "the shim's ffmpeg was left running" finally: From f97360db19e7b52f6fd0245a3c4e070a6c137252 Mon Sep 17 00:00:00 2001 From: Lincoln Stein Date: Mon, 19 Oct 2026 22:12:31 -0400 Subject: [PATCH 26/26] fix(windows-arm64): report WOFF2 as unsupported, bound bcrypt and pin CI ffmpeg Without brotli a WOFF2 upload now says the format is unsupported here rather than that the font is invalid. bcrypt is bounded <6; the ARM64 lane installs ffmpeg 9.0.2. --- .github/workflows/python-tests.yml | 2 +- .../docs/start-here/system-requirements.mdx | 2 +- invokeai/app/services/fonts/fonts_parsing.py | 3 +++ pyproject.toml | 2 +- tests/app/services/fonts/test_fonts_service.py | 16 ++++++++++++++++ uv.lock | 2 +- 6 files changed, 23 insertions(+), 4 deletions(-) diff --git a/.github/workflows/python-tests.yml b/.github/workflows/python-tests.yml index 9b9f49088c4..36af240b45f 100644 --- a/.github/workflows/python-tests.yml +++ b/.github/workflows/python-tests.yml @@ -174,7 +174,7 @@ jobs: # package is an x64 build, which Windows on ARM runs under emulation. run: | uv run --no-project python -c "import platform, sys; assert platform.machine() == 'ARM64', platform.machine(); print(sys.version)" - choco install ffmpeg -y --no-progress + choco install ffmpeg --version 9.0.2 -y --no-progress ffmpeg -version | Select-Object -First 1 - name: install dependencies diff --git a/docs/src/content/docs/start-here/system-requirements.mdx b/docs/src/content/docs/start-here/system-requirements.mdx index 077bf1c36df..95d740d4fd9 100644 --- a/docs/src/content/docs/start-here/system-requirements.mdx +++ b/docs/src/content/docs/start-here/system-requirements.mdx @@ -137,7 +137,7 @@ Differences from Windows x64, all because the underlying package has no Windows - The MediaPipe face detection preprocessor and the Face Tools nodes (Face Identifier, Face Mask, Face Off) report an error when run. - The image map projects with PCA instead of UMAP, so it is less structured. - `xformers` is not available; torch's own attention kernels are used. -- `.woff2` fonts cannot be read: the font list skips them and uploads are rejected. `.ttf`, `.otf` and `.woff` work. +- `.woff2` fonts cannot be read: the font list skips them, and an upload is rejected with a message that the format is not supported on this platform. `.ttf`, `.otf` and `.woff` work. - PyPatchMatch has no prebuilt library for Windows ARM64, so the `patchmatch` infill method is unavailable. GPU generation on RTX Spark has not yet been validated by the Invoke team on hardware; installation and the CPU code paths are exercised in CI on Windows ARM64 runners. diff --git a/invokeai/app/services/fonts/fonts_parsing.py b/invokeai/app/services/fonts/fonts_parsing.py index 7b01d4c2b83..a1d7f14bbf0 100644 --- a/invokeai/app/services/fonts/fonts_parsing.py +++ b/invokeai/app/services/fonts/fonts_parsing.py @@ -154,6 +154,9 @@ def parse_font_bytes(filename: str, data: bytes, *, max_bytes: int) -> FontValid except FontValidationError: raise except Exception as e: + # fontTools decodes WOFF2 through brotli, which has no Windows ARM64 wheel. + if isinstance(e, ImportError) and extension == ".woff2": + raise FontValidationError("WOFF2 fonts are not supported on this platform") from e raise FontValidationError("The uploaded file is not a valid font") from e return FontValidationResult( diff --git a/pyproject.toml b/pyproject.toml index a79c883fbb1..c4b3c573d56 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -115,7 +115,7 @@ dependencies = [ # Auxiliary dependencies, pinned only if necessary. "blake3; (sys_platform != 'win32' or platform_machine != 'ARM64')", "blake3==1.0.9; sys_platform == 'win32' and platform_machine == 'ARM64'", # self-built win_arm64 wheel (see invoke-win-arm64-wheels) - "bcrypt>=4.1", # used directly (not via passlib, which is incompatible with bcrypt>=4.1 -- the first release with win_arm64 wheels) + "bcrypt>=4.1,<6", # used directly (not via passlib, which is incompatible with bcrypt>=4.1 -- the first release with win_arm64 wheels) "Deprecated", "dnspython", "dynamicprompts", diff --git a/tests/app/services/fonts/test_fonts_service.py b/tests/app/services/fonts/test_fonts_service.py index ddf0bdc7011..7b8b7852d4c 100644 --- a/tests/app/services/fonts/test_fonts_service.py +++ b/tests/app/services/fonts/test_fonts_service.py @@ -25,6 +25,7 @@ FontValidationError, ) from invokeai.app.services.fonts.fonts_default import MAX_INDEXED_FONT_BYTES, FontService +from invokeai.app.services.fonts.fonts_parsing import parse_font_bytes from invokeai.app.services.shared.database.database import Database from invokeai.app.services.shared.database.queries import fonts as font_queries from invokeai.app.services.shared.database.queries.fonts import FontQueries, UploadedFont @@ -687,3 +688,18 @@ def test_font_worker_imports_neither_the_database_layer_nor_config() -> None: ).stdout.split() heavy = ("invokeai.app.services.shared.database", "invokeai.app.services.config") assert [module for module in loaded if module.startswith(heavy)] == [] + + +def test_woff2_without_brotli_is_reported_as_unsupported(font_bytes: bytes, monkeypatch: pytest.MonkeyPatch) -> None: + # Windows ARM64 has no brotli wheel; the font itself is valid, so the error must not call it broken. + pytest.importorskip("brotli", reason="encoding the WOFF2 fixture needs brotli") + from fontTools.ttLib import TTFont, woff2 + + with TTFont(io.BytesIO(font_bytes)) as font: + font.flavor = "woff2" + output = io.BytesIO() + font.save(output) + monkeypatch.setattr(woff2, "haveBrotli", False) + + with pytest.raises(FontValidationError, match="not supported on this platform"): + parse_font_bytes("Inter-Regular.woff2", output.getvalue(), max_bytes=len(output.getvalue())) diff --git a/uv.lock b/uv.lock index ccb4b9c4e4c..1724585d737 100644 --- a/uv.lock +++ b/uv.lock @@ -2130,7 +2130,7 @@ requires-dist = [ { name = "amd-torchvision-device-gfx90a", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (platform_machine != 'ARM64' and sys_platform == 'win32' and extra == 'rocm')", specifier = "==0.28.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" }, { name = "amd-torchvision-device-gfx942", marker = "platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm'", specifier = "==0.28.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" }, { name = "amd-torchvision-device-gfx950", marker = "platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm'", specifier = "==0.28.0+rocm10.0.0", index = "https://stable.repo.amd.com/rocm/whl-next/" }, - { name = "bcrypt", specifier = ">=4.1" }, + { name = "bcrypt", specifier = ">=4.1,<6" }, { name = "bitsandbytes", marker = "(platform_machine != 'ARM64' and sys_platform == 'win32') or (sys_platform != 'darwin' and sys_platform != 'win32')" }, { name = "bitsandbytes", marker = "(platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'rocm') or (platform_machine != 'ARM64' and sys_platform == 'win32' and extra == 'rocm')", specifier = ">=0.50.2" }, { name = "bitsandbytes", marker = "platform_machine == 'ARM64' and sys_platform == 'win32'", specifier = ">=0.50.1" },