99 lines
2.5 KiB
Python
99 lines
2.5 KiB
Python
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"""Diagnose your system and show basic information
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This server mainly to get detail info for better bug reporting.
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"""
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import os
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import re
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import sys
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import platform
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import numpy
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import tensorboard
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import torch
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import tqdm
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sys.path += [os.path.abspath('..'), os.path.abspath('.')]
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import pytorch_lightning # noqa: E402
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LEVEL_OFFSET = '\t'
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KEY_PADDING = 20
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def run_and_parse_first_match(run_lambda, command, regex):
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"""Runs command using run_lambda, returns the first regex match if it exists"""
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rc, out, _ = run_lambda(command)
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if rc != 0:
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return None
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match = re.search(regex, out)
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if match is None:
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return None
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return match.group(1)
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def get_running_cuda_version(run_lambda):
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return run_and_parse_first_match(run_lambda, 'nvcc --version', r'V(.*)$')
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def info_system():
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return {
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'OS': platform.system(),
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'architecture': platform.architecture(),
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'version': platform.version(),
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'processor': platform.processor(),
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'python': platform.python_version(),
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}
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def info_cuda():
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return {
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'GPU': set([torch.cuda.get_device_name(i) for i in range(torch.cuda.device_count())]),
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# 'nvidia_driver': get_nvidia_driver_version(run_lambda),
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'available': torch.cuda.is_available(),
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'version': torch.version.cuda,
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}
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def info_packages():
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return {
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'numpy': numpy.__version__,
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"pyTorch_version": torch.__version__,
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'pyTorch_debug': torch.version.debug,
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'pytorch-lightning': pytorch_lightning.__version__,
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'tensorboard': tensorboard.__version__,
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'tqdm': tqdm.__version__,
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}
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def nice_print(details, level=0):
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lines = []
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for k in sorted(details):
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key = f'{k}:'
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if isinstance(details[k], dict):
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lines += [level * LEVEL_OFFSET + key]
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lines += nice_print(details[k], level + 1)
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elif isinstance(details[k], (set, list, tuple)):
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lines += [level * LEVEL_OFFSET + key]
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lines += [(level + 1) * LEVEL_OFFSET + v for v in details[k]]
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else:
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template = '{:%is} {}' % KEY_PADDING
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key_val = template.format(key, details[k])
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lines += [(level * LEVEL_OFFSET) + key_val]
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return lines
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def main():
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details = {
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"system": info_system(),
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'cuda': info_cuda(),
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'packages': info_packages(),
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}
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lines = nice_print(details)
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text = os.linesep.join(lines)
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print(text)
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if __name__ == '__main__':
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main()
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