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Add Support for Video Media #250

Add Support for Video Media

Add Support for Video Media #250

Workflow file for this run

name: examples
on:
push:
branches: ["main"]
release:
types:
- created
pull_request:
types: [ opened, reopened, ready_for_review, synchronize ]
jobs:
examples:
name: ${{ matrix.name }} (${{ matrix.auth_mode }})
runs-on: ${{ matrix.os }}
if: github.event.pull_request.draft == false
strategy:
fail-fast: false
matrix:
include:
- os: "ubuntu-latest"
python-version: "3.10"
auth_mode: "guest"
name: "standalone_usage.py"
extra_packages: ""
run: "uv run python examples/standalone_usage.py"
- os: "ubuntu-latest"
python-version: "3.10"
auth_mode: "user"
name: "standalone_usage.py"
extra_packages: ""
run: "uv run python examples/standalone_usage.py"
- os: "ubuntu-latest"
python-version: "3.10"
auth_mode: "guest"
name: "file_media_model_usage.py"
extra_packages: ""
run: "uv run python examples/file_media_model_usage.py"
- os: "ubuntu-latest"
python-version: "3.10"
auth_mode: "user"
name: "file_media_model_usage.py"
extra_packages: ""
run: "uv run python examples/file_media_model_usage.py"
- os: "ubuntu-latest"
python-version: "3.10"
auth_mode: "guest"
name: "lightning_autoencoder.py"
extra_packages: ""
run: "uv run python examples/lightning_autoencoder.py"
- os: "ubuntu-latest"
python-version: "3.10"
auth_mode: "user"
name: "lightning_autoencoder.py"
extra_packages: ""
run: "uv run python examples/lightning_autoencoder.py"
- os: "ubuntu-latest"
python-version: "3.10"
auth_mode: "guest"
name: "complete_workflow"
extra_packages: ""
run: |
uv run python examples/complete_workflow/train.py
uv run python examples/complete_workflow/fetch.py
- os: "ubuntu-latest"
python-version: "3.10"
auth_mode: "user"
name: "complete_workflow"
extra_packages: ""
run: |
uv run python examples/complete_workflow/train.py
uv run python examples/complete_workflow/fetch.py
- os: "ubuntu-latest"
python-version: "3.10"
auth_mode: "guest"
name: "litserve_inference.py"
extra_packages: "litgpt litserve"
run: |
uv run python -c "import runpy; runpy.run_path('examples/litserve_inference.py', run_name='litserve_example_smoke')"
timeout-minutes: 15
env:
LIGHTNING_CLOUD_URL: https://staging.gridai.dev
UV_TORCH_BACKEND: cpu
steps:
- uses: actions/checkout@v5
- name: Install uv and setup python
uses: astral-sh/setup-uv@v6
with:
activate-environment: true
python-version: ${{ matrix.python-version }}
enable-cache: true
- name: Install dependencies
run: |
uv sync --group tests
uv pip list
- name: Install example-specific dependencies
if: matrix.extra_packages != ''
run: uv pip install ${{ matrix.extra_packages }}
- name: Enable Guest Mode
if: matrix.auth_mode == 'guest'
shell: bash
run: echo "TEST_GUEST_MODE=1" >> $GITHUB_ENV
- name: Set Auth Credentials
if: matrix.auth_mode == 'user'
shell: bash
run: |
echo "LIGHTNING_USER_ID=${{ secrets.LIGHTNING_STAGING_USER_ID }}" >> $GITHUB_ENV
echo "LIGHTNING_API_KEY=${{ secrets.LIGHTNING_STAGING_API_KEY }}" >> $GITHUB_ENV
- name: Run example
shell: bash
run: ${{ matrix.run }}
guardian-examples:
runs-on: ubuntu-latest
needs: examples
if: always()
steps:
- run: echo "${{ needs.examples.result }}"
- name: failing...
if: needs.examples.result == 'failure'
run: exit 1
- name: cancelled or skipped...
if: contains(fromJSON('["cancelled", "skipped"]'), needs.examples.result)
timeout-minutes: 1
run: sleep 90