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Rewrote tloss as layer to enable trainable nu param #7

Rewrote tloss as layer to enable trainable nu param

Rewrote tloss as layer to enable trainable nu param #7

Workflow file for this run

name: tests
on:
push:
branches:
- '*'
pull_request:
branches:
- '*'
workflow_dispatch:
jobs:
build:
runs-on: ubuntu-20.04
steps:
- uses: actions/checkout@v1
- name: Set up Python 3.8
uses: actions/setup-python@v2
with:
python-version: 3.8
- name: Install lint dependencies
run: |
pip install wheel setuptools
pip install black==22.3.0 isort==5.10.1 flake8==4.0.1
- name: Lint the code
run: sh shell/lint.sh
- name: Install dependencies
run: |
pip install tensorflow==2.8.0
pip install "protobuf<=3.20" --force-reinstall
- name: Build wheel
run: python setup.py bdist_wheel
- name: Upload Python wheel
uses: actions/upload-artifact@v2
with:
name: Python wheel
path: ${{github.workspace}}/dist/t_loss-*.whl
if-no-files-found: error
test:
needs: build
runs-on: ${{ matrix.os }}
strategy:
# max-parallel: 10
matrix:
os: [windows-2019, ubuntu-20.04, macos-11]
python-version: ["3.8", "3.9", "3.10"]
tf-version: [2.8, 2.13]
steps:
- uses: actions/checkout@v1
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v2
with:
python-version: ${{ matrix.python-version }}
- name: Install dependencies
run: pip install wheel setuptools flake8 pytest-cov
- name: Install tensorflow-datasets
run: |
if [[ ${{ matrix.tf-version }} == 2.12 ]]; then
pip install tensorflow-datasets --upgrade
else
pip install tensorflow==${{ matrix.tf-version }} "tensorflow-datasets<=4.8.2"
pip install "protobuf<=3.20" --force-reinstall
fi
shell: bash
- name: Download artifact
uses: actions/download-artifact@master
with:
name: "Python wheel"
- name: Install wheel
run: pip install --find-links=${{github.workspace}} t_loss
- name: Test library accessibility
run: python -c "from t_loss import TLoss"