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| 1 | +# Copyright The PyTorch Lightning team. |
| 2 | +# |
| 3 | +# Licensed under the Apache License, Version 2.0 (the "License"); |
| 4 | +# you may not use this file except in compliance with the License. |
| 5 | +# You may obtain a copy of the License at |
| 6 | +# |
| 7 | +# http://www.apache.org/licenses/LICENSE-2.0 |
| 8 | +# |
| 9 | +# Unless required by applicable law or agreed to in writing, software |
| 10 | +# distributed under the License is distributed on an "AS IS" BASIS, |
| 11 | +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| 12 | +# See the License for the specific language governing permissions and |
| 13 | +# limitations under the License. |
| 14 | +"""Diagnose your system and show basic information. |
| 15 | +
|
| 16 | +This server mainly to get detail info for better bug reporting. |
| 17 | +""" |
| 18 | + |
| 19 | +import os |
| 20 | +import platform |
| 21 | +import sys |
| 22 | + |
| 23 | +import numpy |
| 24 | +import torch |
| 25 | +import tqdm |
| 26 | + |
| 27 | +sys.path += [os.path.abspath(".."), os.path.abspath(".")] |
| 28 | +import pytorch_lightning # noqa: E402 |
| 29 | + |
| 30 | +LEVEL_OFFSET = "\t" |
| 31 | +KEY_PADDING = 20 |
| 32 | + |
| 33 | + |
| 34 | +def info_system(): |
| 35 | + return { |
| 36 | + "OS": platform.system(), |
| 37 | + "architecture": platform.architecture(), |
| 38 | + "version": platform.version(), |
| 39 | + "processor": platform.processor(), |
| 40 | + "python": platform.python_version(), |
| 41 | + } |
| 42 | + |
| 43 | + |
| 44 | +def info_cuda(): |
| 45 | + return { |
| 46 | + "GPU": [torch.cuda.get_device_name(i) for i in range(torch.cuda.device_count())], |
| 47 | + # 'nvidia_driver': get_nvidia_driver_version(run_lambda), |
| 48 | + "available": torch.cuda.is_available(), |
| 49 | + "version": torch.version.cuda, |
| 50 | + } |
| 51 | + |
| 52 | + |
| 53 | +def info_packages(): |
| 54 | + return { |
| 55 | + "numpy": numpy.__version__, |
| 56 | + "pyTorch_version": torch.__version__, |
| 57 | + "pyTorch_debug": torch.version.debug, |
| 58 | + "pytorch-lightning": pytorch_lightning.__version__, |
| 59 | + "tqdm": tqdm.__version__, |
| 60 | + } |
| 61 | + |
| 62 | + |
| 63 | +def nice_print(details, level=0): |
| 64 | + lines = [] |
| 65 | + for k in sorted(details): |
| 66 | + key = f"* {k}:" if level == 0 else f"- {k}:" |
| 67 | + if isinstance(details[k], dict): |
| 68 | + lines += [level * LEVEL_OFFSET + key] |
| 69 | + lines += nice_print(details[k], level + 1) |
| 70 | + elif isinstance(details[k], (set, list, tuple)): |
| 71 | + lines += [level * LEVEL_OFFSET + key] |
| 72 | + lines += [(level + 1) * LEVEL_OFFSET + "- " + v for v in details[k]] |
| 73 | + else: |
| 74 | + template = "{:%is} {}" % KEY_PADDING |
| 75 | + key_val = template.format(key, details[k]) |
| 76 | + lines += [(level * LEVEL_OFFSET) + key_val] |
| 77 | + return lines |
| 78 | + |
| 79 | + |
| 80 | +def main(): |
| 81 | + details = {"System": info_system(), "CUDA": info_cuda(), "Packages": info_packages()} |
| 82 | + lines = nice_print(details) |
| 83 | + text = os.linesep.join(lines) |
| 84 | + print(text) |
| 85 | + |
| 86 | + |
| 87 | +if __name__ == "__main__": |
| 88 | + main() |
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