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Batched inference CEBRA & padding at the Solver level #620

Batched inference CEBRA & padding at the Solver level

Batched inference CEBRA & padding at the Solver level #620

Workflow file for this run

name: Update internal release
on:
push:
tags:
- 'v*.*.*'
pull_request:
# TODO(stes): Update for release build
branches:
- main
- public
types:
- labeled
- opened
- edited
- synchronize
- reopened
jobs:
release:
runs-on: ubuntu-latest
steps:
- name: Cache dependencies
id: pip-cache
uses: actions/cache@v3
with:
path: ~/.cache/pip
key: ${{ runner.os }}-pip
- name: Checkout code
uses: actions/checkout@v3
- name: Build and publish to Test PyPI
if: ${{ (github.ref != 'refs/heads/main') && (github.event.label.name == 'release') }}
env:
TWINE_USERNAME: __token__
TWINE_PASSWORD: ${{ secrets.TEST_PYPI_TOKEN }}
run: |
make dist
ls dist/
tar tvf dist/cebra-*.tar.gz
python3 -m twine upload --repository testpypi dist/*
- name: Build and publish to PyPI
if: ${{ github.event_name == 'push' }}
env:
TWINE_USERNAME: __token__
TWINE_PASSWORD: ${{ secrets.PYPI_TOKEN }}
run: |
make dist
ls dist/
tar tvf dist/cebra-*.tar.gz
python3 -m twine upload dist/*