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Sync fx_importer from torch-mlir. (#475) #3

Sync fx_importer from torch-mlir. (#475)

Sync fx_importer from torch-mlir. (#475) #3

Workflow file for this run

name: Turbine Unit Tests
on:
workflow_dispatch:
pull_request:
push:
branches:
- main
concurrency:
# A PR number if a pull request and otherwise the commit hash. This cancels
# queued and in-progress runs for the same PR (presubmit) or commit
# (postsubmit). The workflow name is prepended to avoid conflicts between
# different workflows.
group: ${{ github.workflow }}-${{ github.event.number || github.sha }}
cancel-in-progress: true
jobs:
test:
name: "Test"
strategy:
matrix:
version: [3.11]
os: [ubuntu-latest]
runs-on: ${{matrix.os}}
steps:
- name: "Setting up Python"
uses: actions/setup-python@75f3110429a8c05be0e1bf360334e4cced2b63fa # v2.3.3
with:
python-version: ${{matrix.version}}
- name: "Checkout Code"
uses: actions/checkout@v2
- name: Sync source deps
run: |
python -m pip install --upgrade pip
# Note: We install in three steps in order to satisfy requirements
# from non default locations first. Installing the PyTorch CPU
# wheels saves multiple minutes and a lot of bandwidth on runner setup.
pip install --index-url https://download.pytorch.org/whl/cpu \
-r core/pytorch-cpu-requirements.txt \
-r core/torchvision-requirements.txt
pip install --upgrade \
-r core/requirements.txt \
-r mypy-requirements.txt
pip install -e core[testing] -e serving[testing]
- name: Run core tests
if: ${{ !cancelled() }}
run: |
pytest -n 4 core/
- name: Run serving tests
if: ${{ !cancelled() }}
run: |
pytest -n 4 serving/
- name: MyPy Type Checking
if: ${{ !cancelled() }}
run: |
mypy serving/