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Add Active Learning data collecting block for workflows #687

Add Active Learning data collecting block for workflows

Add Active Learning data collecting block for workflows #687

Workflow file for this run

name: Code Quality & Regression Tests - CPU
on:
pull_request:
branches: [main]
workflow_dispatch:
jobs:
build:
if: ${{ !github.event.act }}
runs-on:
group: group8core
steps:
- name: Set up QEMU
uses: docker/setup-qemu-action@v2
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v2
- name: Login to Docker Hub
uses: docker/login-action@v2
with:
username: ${{ secrets.DOCKERHUB_USERNAME }}
password: ${{ secrets.DOCKERHUB_TOKEN }}
- name: 🛎️ Checkout
uses: actions/checkout@v3
with:
ref: ${{ github.head_ref }}
- name: 🦾 Install dependencies
run: |
python -m pip install --upgrade pip
python -m pip install -r requirements/requirements.test.unit.txt -r requirements/requirements.test.integration.txt
- name: 🧹 Lint with flake8
run: |
make check_code_quality
- name: 🧪 Unit Tests of Inference
timeout-minutes: 30
run: |
pip install -r requirements/_requirements.txt -r requirements/requirements.cpu.txt -r requirements/requirements.hosted.txt -r requirements/requirements.http.txt -r requirements/requirements.sdk.http.txt
python -m pytest tests/inference/unit_tests
- name: 🧪 E2E Tests of supported models predictions in different variants
timeout-minutes: 45
run: |
pip install -r requirements/_requirements.txt -r requirements/requirements.cpu.txt -r requirements/requirements.hosted.txt
MAX_BATCH_SIZE=6 python -m pytest tests/inference/models_predictions_tests
- name: 🧪 Unit Tests of clients
run: |
python -m pip install -r requirements/requirements.sdk.http.txt
python -m pytest tests/inference_sdk/unit_tests
- name: 🧪 Unit Tests of Inference CLI
run: |
python -m pip install -r requirements/requirements.cli.txt
python -m pytest tests/inference_cli/unit_tests
- name: 🧪 Integration Tests of Inference CLI
timeout-minutes: 30
run: |
python -m pip install -r requirements/requirements.cli.txt
python -m pytest tests/inference_cli/integration_tests
- name: 🔨 Build and Push Test Docker
run: |
docker pull roboflow/roboflow-inference-server-cpu:test
docker build -t roboflow/roboflow-inference-server-cpu:test -f docker/dockerfiles/Dockerfile.onnx.cpu .
docker push roboflow/roboflow-inference-server-cpu:test
- name: 🔋 Start Test Docker
run: |
PORT=9101 INFERENCE_SERVER_REPO=roboflow-inference-server-cpu make start_test_docker_cpu
- name: 🧪 Regression Tests
run: |
PORT=9101 API_KEY=${{ secrets.API_KEY }} asl_instance_segmentation_API_KEY=${{ secrets.ASL_INSTANCE_SEGMENTATION_API_KEY }} asl_poly_instance_seg_API_KEY=${{ secrets.ASL_POLY_INSTANCE_SEG_API_KEY }} bccd_favz3_API_KEY=${{ secrets.BCCD_FAVZ3_API_KEY }} bccd_i4nym_API_KEY=${{ secrets.BCCD_I4NYM_API_KEY }} cats_and_dogs_smnpl_API_KEY=${{ secrets.CATS_AND_DOGS_SMNPL_API_KEY }} coins_xaz9i_API_KEY=${{ secrets.COINS_XAZ9I_API_KEY }} melee_API_KEY=${{ secrets.MELEE_API_KEY }} yolonas_test_API_KEY=${{ secrets.YOLONAS_TEST_API_KEY }} python -m pytest tests/inference/integration_tests
make stop_test_docker