Update pr-sglang-g6-inference.yaml #2
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| name: PR - SGLang G6 Inference | |
| on: | |
| workflow_dispatch: | |
| push: | |
| paths: | |
| - ".github/workflows/pr-sglang-g6-inference.yaml" | |
| env: | |
| SGLANG_IMAGE: "public.ecr.aws/deep-learning-containers/sglang:0.5.5-gpu-py312" | |
| jobs: | |
| sglang-heavy-inference: | |
| runs-on: g6-2gpu-runner | |
| steps: | |
| - name: Checkout | |
| uses: actions/checkout@v5 | |
| - name: Pull image | |
| run: docker pull ${{ env.SGLANG_IMAGE }} | |
| - name: Verify GPUs | |
| run: | | |
| echo "=== Host GPUs ===" | |
| nvidia-smi | |
| echo "" | |
| echo "=== Container GPU Test ===" | |
| docker run --rm --gpus=all ${{ env.SGLANG_IMAGE }} nvidia-smi | |
| - name: Start container (2 GPUs) | |
| run: | | |
| CONTAINER_ID=$(docker run -d --rm --gpus=all \ | |
| -p 30000:30000 \ | |
| -e HF_TOKEN=${{ secrets.HUGGING_FACE_HUB_TOKEN }} \ | |
| ${{ env.SGLANG_IMAGE }} \ | |
| python3 -m sglang.launch_server \ | |
| --model-path meta-llama/Llama-3.2-3B-Instruct \ | |
| --host 0.0.0.0 --port 30000 \ | |
| --tp 2) | |
| echo "CONTAINER_ID=${CONTAINER_ID}" >> ${GITHUB_ENV} | |
| sleep 60 | |
| - name: Test inference | |
| run: | | |
| docker exec ${CONTAINER_ID} curl -X POST http://localhost:30000/v1/completions \ | |
| -H "Content-Type: application/json" \ | |
| -d '{"model": "meta-llama/Llama-3.2-3B-Instruct", "prompt": "Hello, how are you?", "max_tokens": 50}' | |
| - name: Show GPU usage | |
| if: always() | |
| run: docker exec ${CONTAINER_ID} nvidia-smi || true | |
| - name: Cleanup | |
| if: always() | |
| run: docker stop ${CONTAINER_ID} || true | |
| sglang-light-inference: | |
| runs-on: g6-1gpu-runner | |
| steps: | |
| - name: Checkout | |
| uses: actions/checkout@v5 | |
| - name: Pull image | |
| run: docker pull ${{ env.SGLANG_IMAGE }} | |
| - name: Verify GPUs | |
| run: | | |
| echo "=== Host GPUs ===" | |
| nvidia-smi | |
| echo "" | |
| echo "=== Container GPU Test ===" | |
| docker run --rm --gpus=all ${{ env.SGLANG_IMAGE }} nvidia-smi | |
| - name: Start container (1 GPU) | |
| run: | | |
| CONTAINER_ID=$(docker run -d --rm --gpus=all \ | |
| -p 30000:30000 \ | |
| -e HF_TOKEN=${{ secrets.HUGGING_FACE_HUB_TOKEN }} \ | |
| ${{ env.SGLANG_IMAGE }} \ | |
| python3 -m sglang.launch_server \ | |
| --model-path Qwen/Qwen2.5-0.5B-Instruct \ | |
| --host 0.0.0.0 --port 30000) | |
| echo "CONTAINER_ID=${CONTAINER_ID}" >> ${GITHUB_ENV} | |
| sleep 45 | |
| - name: Test inference | |
| run: | | |
| docker exec ${CONTAINER_ID} curl -X POST http://localhost:30000/v1/completions \ | |
| -H "Content-Type: application/json" \ | |
| -d '{"model": "Qwen/Qwen2.5-0.5B-Instruct", "prompt": "Hello, how are you?", "max_tokens": 50}' | |
| - name: Show GPU usage | |
| if: always() | |
| run: docker exec ${CONTAINER_ID} nvidia-smi || true | |
| - name: Cleanup | |
| if: always() | |
| run: docker stop ${CONTAINER_ID} || true |