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CLIP-IQA, Optimised GPU Usage and Some Fixes #73

CLIP-IQA, Optimised GPU Usage and Some Fixes

CLIP-IQA, Optimised GPU Usage and Some Fixes #73

Workflow file for this run

name: deployment to conda
on:
release:
types: [published]
jobs:
deploy:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- name: Set up Python
uses: actions/setup-python@v2
with:
python-version: '3.x'
- name: Setup Miniconda
run: |
sudo apt-get update
wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh;
bash miniconda.sh -b -p $HOME/miniconda
export PATH="$HOME/miniconda/bin:$PATH"
conda update -q conda
conda config --add channels conda-forge
conda config --add channels pytorch
conda install -y anaconda-client conda-build conda-verify
conda config --set anaconda_upload no
- name: Build and publish
env:
CONDA_TOKEN: ${{ secrets.CONDA_TOKEN }}
CONDA_USERNAME: ${{ secrets.CONDA_USERNAME }}
run: |
export PATH="$HOME/miniconda/bin:$PATH"
conda build --quiet --no-test --output-folder conda_build conda.recipe
ls conda_build/noarch/*.tar.bz2 | xargs -I {} anaconda -v -t $CONDA_TOKEN upload -u $CONDA_USERNAME {}