This release is a pre-release and may not be stable for production use.
dcccpy-linux-arm64-runtime
dcccpy-linux-arm64-runtime carries the prebuilt Linux aarch64 DCCCcore
runtime used by dcccpy[linux-runtime] and dcccpy[runtime] on ARM64 Linux,
including NVIDIA DGX Spark.
Before building this package, vendor the release asset:
python scripts/vendor_dccccore.py --version 4.4.0 --release-platform ubuntu-latest-arm64
python -m build --wheel
For a PyPI-size runtime wheel, use the slim profile:
python scripts/vendor_dccccore.py --profile pypi-slim --force
python -m build --wheel
The pypi-slim profile omits the fast_and_acc registration model/config and
the ADAD decoupler ONNX ensemble. It keeps the default spatial normalization
model and the assets needed by common Centiloid/CenTauR/CenTauRz workflows.
The vendored runtime is intentionally ignored by git because it contains large ONNX model and NIfTI template assets.
Metadata
Release files for dcccpy-linux-arm64-runtime 0.2.0a2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dcccpy_linux_arm64_runtime-0.2.0a2-py3-none-manylinux2014_aarch64.whl | Python 3 | none | Linux glibc 2.17+ ARM64 | Details |
Release files / dcccpy_linux_arm64_runtime-0.2.0a2-py3-none-manylinux2014_aarch64.whl
| Download URL | dcccpy_linux_arm64_runtime-0.2.0a2-py3-none-manylinux2014_aarch64.whl |
|---|---|
| Size | 92.7 MB |
| Tags | Linux glibc 2.17+ ARM64 Python 3 |
|
SHA-256 checksum How to use checksums |
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