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81 lines
2.2 KiB
Python
81 lines
2.2 KiB
Python
"""Functions for gathering system debug information"""
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from functools import lru_cache
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def get_debug_info():
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import os.path
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import platform
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import sys
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import psutil
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import torch
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from imaginairy.utils import get_device, get_hardware_description
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from imaginairy.version import get_version
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data = {
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"imaginairy_version": get_version(),
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"imaginairy_path": os.path.dirname(__file__),
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"python_version": f"{sys.version_info.major}.{sys.version_info.minor}.{sys.version_info.micro}",
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"python_installation_path": sys.executable,
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"device": get_device(),
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"torch_version": torch.__version__,
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"platform": platform.system(),
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"hardware_description": get_hardware_description(get_device()),
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"ram_gb": round(psutil.virtual_memory().total / (1024**3), 2),
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"cuda_available": torch.cuda.is_available(),
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}
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if torch.cuda.is_available():
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device_props = torch.cuda.get_device_properties(0)
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data.update(
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{
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"cuda_version": torch.version.cuda,
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"graphics_card": device_props.name,
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"graphics_card_memory": device_props.total_memory,
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"graphics_card_processor_count": device_props.multi_processor_count,
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"graphics_card_hw_version": f"{device_props.major}.{device_props.minor}",
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}
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)
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elif "mps" in get_device():
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data.update(
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{
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"graphics_card": "Apple MPS",
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}
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)
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nvidia_data = get_nvidia_smi_data()
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data.update(nvidia_data)
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return data
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@lru_cache
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def _get_nvidia_smi_output():
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import subprocess
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try:
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output = subprocess.check_output(
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"nvidia-smi", text=True, shell=True, stderr=subprocess.DEVNULL
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)
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except subprocess.CalledProcessError:
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output = "no nvidia card found"
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return output
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def _process_nvidia_smi_output(output):
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import re
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cuda_version = re.search(r"CUDA Version: (\d+\.\d+)", output)
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return {
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"cuda_version": cuda_version.group(1) if cuda_version else None,
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"nvidia_smi": output,
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}
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def get_nvidia_smi_data():
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smi_output = _get_nvidia_smi_output()
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return _process_nvidia_smi_output(smi_output)
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