![]() But for FreeBSD, an SDist + whatever is done to package things is likely required probably needing manual install steps like for Bazel. Which version of python is compatible with TensorFlow TensorFlow is tested and supported on the following 64-bit systems: Python 3.73.10. TL DR: adding bazel as a PyPI package would be great, and having a nice SDist + build environment would be useful. Pip is a command used for executing and installing modules in Python. I think everything would need to be able to be built from SDist (including bazel unless it was pre-installed). ![]() I'm not sure there are redistributable binaries for FreeBSD, though, that can be uploaded to PyPA - it's not manylinux/musllinux/etc. ![]() Step 2: Before proceeding we need to get python environment. Adding an SDist would be nice, and would help package this for FreeBSD, I would think. Downloading and Installation: Tensorflow can be downloaded from its official Website and can be installed with the help of following steps: Step 1: Click on Install on top navigation bar of Tensorflow website. Providing a PyPI package for bazel shouldn't be that hard, see how we provide cmake & ninja, or clang-format is another good example.Īlso, PyPA doesn't build anything, but we provide cibuildwheel, which makes it easy to use CI (or other) services to build wheels. Can you install Bazel through PyPI? If so, then just add it to the pyproject.toml, and it will "just work" (in theory) for any recent pip.
0 Comments
Leave a Reply. |