test(unraid): record CUDA and NDI runtime versions
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@@ -0,0 +1,19 @@
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import ctypes
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import glob
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import importlib.metadata
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import json
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import platform
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import torch
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packages = ["torch", "torchvision", "mmcv", "mmengine", "mmdet", "mmpose", "numpy",
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"opencv-python-headless", "cyndilib", "fastapi", "uvicorn", "websockets", "psutil", "nvidia-ml-py"]
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ndi_path = glob.glob("/opt/conda/lib/python3.10/site-packages/cyndilib/wrapper/bin/*/libndi.so")[0]
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ndi = ctypes.CDLL(ndi_path)
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ndi.NDIlib_version.restype = ctypes.c_char_p
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print(json.dumps({
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"python": platform.python_version(), "packages": {p: importlib.metadata.version(p) for p in packages},
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"torch_cuda_build": torch.version.cuda, "cudnn": torch.backends.cudnn.version(),
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"cuda_available": torch.cuda.is_available(), "cuda_device": torch.cuda.get_device_name(0),
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"ndi_runtime_version": ndi.NDIlib_version().decode(), "ndi_runtime_path": ndi_path,
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}, indent=2))
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@@ -134,6 +134,7 @@ services:
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python -m pytest -q /tests > /validation/unit-tests.txt 2>&1
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python /app/tail2/validate_runtime.py > /validation/runtime.json
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python -m pip freeze | sort > /validation/pip-freeze.txt
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python /app/tail2/version_report.py > /validation/runtime-versions.json
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find / -xdev -type f -name 'libndi.so*' -print > /validation/ndi-runtime-files.txt 2>/dev/null || true
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nvidia-smi --query-gpu=name,driver_version,memory.total,memory.used,temperature.gpu --format=csv,noheader > /validation/gpu.csv
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sha256sum /models/*.pth > /validation/model-sha256.txt
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