mirror of
https://github.com/huggingface/lerobot.git
synced 2026-06-03 12:21:27 +00:00
1666097fd3
* refactor(scripts): update system info script * chore(scripts): rename info script * feat(scripts): add entrypoint for info * chore(ci): update issue report template
97 lines
2.9 KiB
Python
97 lines
2.9 KiB
Python
#!/usr/bin/env python
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# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""
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Use this script to get a quick summary of your system config.
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It should be able to run without any of LeRobot's dependencies or LeRobot itself installed.
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Example:
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```shell
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lerobot-info
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```
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"""
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import importlib
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import platform
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def get_package_version(package_name: str) -> str:
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"""Get the version of a package if it exists, otherwise return 'N/A'."""
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try:
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module = importlib.import_module(package_name)
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return getattr(module, "__version__", "Installed (version not found)")
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except ImportError:
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return "N/A"
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def get_sys_info() -> dict:
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"""Run this to get basic system info to help for tracking issues & bugs."""
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# General package versions
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info = {
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"lerobot version": get_package_version("lerobot"),
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"Platform": platform.platform(),
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"Python version": platform.python_version(),
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"Huggingface Hub version": get_package_version("huggingface_hub"),
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"Datasets version": get_package_version("datasets"),
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"Numpy version": get_package_version("numpy"),
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}
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# PyTorch and GPU specific information
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torch_version = "N/A"
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torch_cuda_available = "N/A"
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cuda_version = "N/A"
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gpu_model = "N/A"
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try:
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import torch
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torch_version = torch.__version__
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torch_cuda_available = torch.cuda.is_available()
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if torch_cuda_available:
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cuda_version = torch.version.cuda
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# Gets the name of the first available GPU
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gpu_model = torch.cuda.get_device_name(0)
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except ImportError:
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# If torch is not installed, the default "N/A" values will be used.
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pass
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info.update(
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{
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"PyTorch version": torch_version,
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"Is PyTorch built with CUDA support?": torch_cuda_available,
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"Cuda version": cuda_version,
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"GPU model": gpu_model,
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"Using GPU in script?": "<fill in>",
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}
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)
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return info
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def format_dict_for_markdown(d: dict) -> str:
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"""Formats a dictionary into a markdown-friendly bulleted list."""
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return "\n".join([f"- {prop}: {val}" for prop, val in d.items()])
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def main():
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system_info = get_sys_info()
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print("\nCopy-and-paste the text below in your GitHub issue and FILL OUT the last point.\n")
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print(format_dict_for_markdown(system_info))
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if __name__ == "__main__":
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main()
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