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MLflow Slow Tests

MLflow Slow Tests #110

Workflow file for this run

# A daily job to run slow tests with MLFLOW_RUN_SLOW_TESTS environment variable set to true.
name: MLflow Slow Tests
on:
pull_request:
paths:
# Run this workflow in PR when relevant files change
- ".github/workflows/slow-tests.yml"
- "tests/pyfunc/docker/**"
workflow_dispatch:
inputs:
repository:
description: >
[Optional] Repository name with owner. For example, mlflow/mlflow.
Defaults to the repository that triggered a workflow.
required: false
default: ""
ref:
description: >
[Optional] The branch, tag or SHA to checkout. When checking out the repository that
triggered a workflow, this defaults to the reference or SHA for that event. Otherwise,
uses the default branch.
required: false
default: ""
schedule:
# Run this workflow daily at 13:00 UTC
- cron: "0 13 * * *"
permissions:
contents: read
concurrency:
group: ${{ github.workflow }}-${{ github.event_name }}-${{ github.ref }}
cancel-in-progress: true
defaults:
run:
shell: bash --noprofile --norc -exo pipefail {0}
env:
MLFLOW_RUN_SLOW_TESTS: "true"
MLFLOW_HOME: /home/runner/work/mlflow/mlflow
PIP_EXTRA_INDEX_URL: https://download.pytorch.org/whl/cpu
jobs:
docker-build:
runs-on: ubuntu-latest
timeout-minutes: 120
if: (github.event_name == 'schedule' && github.repository == 'mlflow-automation/mlflow') || github.event_name == 'workflow_dispatch' || (github.event_name == 'pull_request' && github.event.pull_request.draft == false)
strategy:
fail-fast: false
matrix:
group: [1, 2, 3]
include:
- splits: 3
steps:
- uses: actions/checkout@v4
with:
submodules: recursive
- uses: ./.github/actions/free-disk-space
- uses: ./.github/actions/untracked
- uses: ./.github/actions/setup-python
with:
python-version: 3.9
- uses: ./.github/actions/setup-pyenv
- uses: ./.github/actions/setup-java
- name: Install dependencies
run: |
python -m venv .venv
source .venv/bin/activate
source ./dev/install-common-deps.sh --ml
# transformers requires `tf-keras` when keras 3.0 is installed.
# See https://github.com/huggingface/transformers/issues/27377 for more details.
python -m pip install langchain_experimental tf-keras
- uses: ./.github/actions/show-versions
- uses: ./.github/actions/pipdeptree
- name: Run tests
run: |
source .venv/bin/activate
pytest --splits=${{ matrix.splits }} --group=${{ matrix.group }} tests/pyfunc/docker