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