mirror of
https://github.com/ml-explore/mlx.git
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c7edafb729
* implemented instancenorm * implemented vector_norm in cpp added linalg to mlx * implemented vector_norm python binding * renamed vector_norm to norm, implemented norm without provided ord * completed the implementation of the norm * added tests * removed unused import in linalg.cpp * updated python bindings * added some tests for python bindings * handling inf, -inf as numpy does, more extensive tests of compatibility with numpy * added better docs and examples * refactored mlx.linalg.norm bindings * reused existing util for implementation of linalg.norm * more tests * fixed a bug with no ord and axis provided * removed unused imports * some style and API consistency updates to linalg norm * remove unused includes * fix python tests * fixed a bug with frobenius norm of a complex-valued matrix * complex for vector too * addressed PR review comments * fixed import order in __init__ * expected values in instancenorm tests are simple lists * minor return expression style change * added InstanceNorm to docs * doc string nits * added myself to individual contributors --------- Co-authored-by: Awni Hannun <awni@apple.com> |
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Packaging for PyPI
Install build and twine:
pip install --user --upgrade build
pip install --user --upgrade twine
Generate the source distribution and wheel:
python -m build
Warning use a test server first
Test Upload
Upload to test server:
python -m twine upload --repository testpypi dist/*
Install from test server and check that it works:
python -m pip install --index-url https://test.pypi.org/simple/ --no-deps mlx
Upload
python -m twine upload dist/*