mirror of
https://github.com/huggingface/lerobot.git
synced 2026-05-17 09:39:47 +00:00
feat(scripts): add more info to lerobot-info (#2663)
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@@ -27,6 +27,25 @@ lerobot-info
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import importlib
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import platform
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import shutil
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import subprocess
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from importlib.metadata import PackageNotFoundError, distribution
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PACKAGE_NAME = "lerobot"
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def get_ffmpeg_version() -> str:
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"""Get the ffmpeg version if installed, otherwise return 'N/A'."""
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command_path = shutil.which("ffmpeg")
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if command_path is None:
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return "N/A"
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try:
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result = subprocess.run([command_path, "-version"], capture_output=True, text=True, check=True)
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first_line = result.stdout.splitlines()[0]
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version_info = first_line.split(" ")[2]
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return version_info
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except (subprocess.SubprocessError, IndexError):
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return "Installed (version parsing failed)"
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def get_package_version(package_name: str) -> str:
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@@ -38,16 +57,17 @@ def get_package_version(package_name: str) -> str:
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return "N/A"
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def get_sys_info() -> dict:
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def get_sys_info() -> dict[str, str]:
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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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"LeRobot version": get_package_version(PACKAGE_NAME),
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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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"FFmpeg version": get_ffmpeg_version(),
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}
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# PyTorch and GPU specific information
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@@ -58,10 +78,10 @@ def get_sys_info() -> dict:
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try:
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import torch
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torch_version = torch.__version__
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torch_version = str(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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cuda_version = str(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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@@ -71,24 +91,34 @@ def get_sys_info() -> dict:
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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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"Is PyTorch built with CUDA support?": str(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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scripts = "N/A"
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try:
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dist = distribution(PACKAGE_NAME)
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scripts = [ep.name for ep in dist.entry_points if ep.group == "console_scripts"]
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except PackageNotFoundError:
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pass
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info.update({f"{PACKAGE_NAME} scripts": str(scripts)})
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return info
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def format_dict_for_markdown(d: dict) -> str:
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def format_dict_for_markdown(d: dict[str, str]) -> 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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"""
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Main function to print system info in markdown format.
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"""
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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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