| # Cross-platform base + platform-gated conversion backends. |
| # |
| # openvino has NO arm64-macOS wheel (Intel/x86 Linux/Windows only), so installing |
| # it unconditionally aborts the WHOLE pip install on an Apple-Silicon agent and |
| # model-studio crash-loops on boot. coremltools is macOS-only. pip evaluates |
| # these environment markers per host, so a Mac agent installs the CoreML backend |
| # and skips OpenVINO, while a Linux/Windows agent does the reverse — convert_lib |
| # imports each backend lazily, matching whatever this host provides. |
| numpy |
| opencv-python-headless |
| onnx |
| openvino>=2025,<2026 ; platform_system != "Darwin" |
| nncf>=2.14 ; platform_system != "Darwin" |
| coremltools>=8.0,<9 ; platform_system == "Darwin" |
| # coremltools dropped the ONNX frontend, so ONNX->CoreML bridges through PyTorch |
| # (onnx2torch rebuilds the graph as an nn.Module → trace → ct.convert). macOS-only, |
| # matching coremltools; convert_lib imports them lazily inside the CoreML path. |
| # torch upper-bounded to what coremltools 8.x has tested (≤2.5); newer torch |
| # trips "has not been tested" + unimplemented-op converter errors. |
| torch>=2.2,<2.6 ; platform_system == "Darwin" |
| onnx2torch>=1.5 ; platform_system == "Darwin" |
| # onnx-simplifier constant-folds dynamic Shape ops (pinned input) so YOLO-style |
| # graphs trace to a static module coremltools can lower. |
| onnxsim>=0.4 ; platform_system == "Darwin" |
|
|
