forked from qoherent/modrec-workflow
74 lines
1.7 KiB
YAML
74 lines
1.7 KiB
YAML
name: RIA Hub Workflow Demo
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on:
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push:
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branches:
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[main]
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pull_request:
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branches:
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[main]
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jobs:
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ria-demo:
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runs-on: ubuntu-latest-2080
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steps:
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- name: Print GPU information
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run: |
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if command -v nvidia-smi &> /dev/null; then
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echo "✅ NVIDIA GPU is available"
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nvidia-smi
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else
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echo "⚠️ No NVIDIA GPU found"
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fi
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- name: Checkout code
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uses: actions/checkout@v4
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with:
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lfs: true
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- name: Set up Python
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uses: actions/setup-python@v4
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with:
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python-version: "3.10"
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- name: Install dependencies
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run: |
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python -m pip install --upgrade pip
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pip install -r requirements.txt
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- name: 1. Build HDF5 Dataset
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run: |
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mkdir -p data/dataset
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PYTHONPATH=. python data/scripts/produce_dataset.py
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echo "datasets produced successfully"
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shell: bash
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- name: 2. Train Model
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run: |
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PYTHONPATH=. python data/training/train.py
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echo "training model"
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- name: 3. Build inference app
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run: |
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PYTHONPATH=. python convert_to_onnx.py
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echo "building inference app"
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- name: Upload Dataset Artifacts
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uses: actions/upload-artifact@v3
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with:
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name: ria-dataset
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path: data/dataset/**
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- name: Upload Checkpoints
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uses: actions/upload-artifact@v3
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with:
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name: ria-checkpoints
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path: checkpoint_files/inference_recognition_model.ckpt
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- name: Upload Inference App
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uses: actions/upload-artifact@v3
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with:
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name: ria-demo-app
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path: onnx_files/inference_recognition_model.onnx |