refactor(scripts): update system info script (#2005)

* refactor(scripts): update system info script

* chore(scripts): rename info script

* feat(scripts): add entrypoint for info

* chore(ci): update issue report template
This commit is contained in:
Steven Palma
2025-09-23 17:55:53 +02:00
committed by GitHub
parent 3068ce3569
commit 1666097fd3
4 changed files with 98 additions and 91 deletions

View File

@@ -25,7 +25,7 @@ body:
id: system-info
attributes:
label: System Info
description: If needed, you can share your lerobot configuration with us by running `python -m lerobot.scripts.display_sys_info` and copy-pasting its outputs below
description: Please share your LeRobot configuration by running `lerobot-info` (if installed) or `python -m lerobot.scripts.display_sys_info` (if not installed) and pasting the output below.
render: Shell
placeholder: lerobot version, OS, python version, numpy version, torch version, and lerobot's configuration
validations:

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@@ -171,6 +171,7 @@ lerobot-setup-motors="lerobot.setup_motors:main"
lerobot-teleoperate="lerobot.teleoperate:main"
lerobot-eval="lerobot.scripts.eval:main"
lerobot-train="lerobot.scripts.train:main"
lerobot-info="lerobot.scripts.lerobot_info:main"
# ---------------- Tool Configurations ----------------
[tool.setuptools.packages.find]

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@@ -1,90 +0,0 @@
#!/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.
"""
import platform
HAS_HF_HUB = True
HAS_HF_DATASETS = True
HAS_NP = True
HAS_TORCH = True
HAS_LEROBOT = True
try:
import huggingface_hub
except ImportError:
HAS_HF_HUB = False
try:
import datasets
except ImportError:
HAS_HF_DATASETS = False
try:
import numpy as np
except ImportError:
HAS_NP = False
try:
import torch
except ImportError:
HAS_TORCH = False
try:
import lerobot
except ImportError:
HAS_LEROBOT = False
lerobot_version = lerobot.__version__ if HAS_LEROBOT else "N/A"
hf_hub_version = huggingface_hub.__version__ if HAS_HF_HUB else "N/A"
hf_datasets_version = datasets.__version__ if HAS_HF_DATASETS else "N/A"
np_version = np.__version__ if HAS_NP else "N/A"
torch_version = torch.__version__ if HAS_TORCH else "N/A"
torch_cuda_available = torch.cuda.is_available() if HAS_TORCH else "N/A"
cuda_version = torch._C._cuda_getCompiledVersion() if HAS_TORCH and torch.version.cuda is not None else "N/A"
# TODO(aliberts): refactor into an actual command `lerobot env`
def display_sys_info() -> dict:
"""Run this to get basic system info to help for tracking issues & bugs."""
info = {
"`lerobot` version": lerobot_version,
"Platform": platform.platform(),
"Python version": platform.python_version(),
"Huggingface_hub version": hf_hub_version,
"Dataset version": hf_datasets_version,
"Numpy version": np_version,
"PyTorch version (GPU?)": f"{torch_version} ({torch_cuda_available})",
"Cuda version": cuda_version,
"Using GPU in script?": "<fill in>",
# "Using distributed or parallel set-up in script?": "<fill in>",
}
print("\nCopy-and-paste the text below in your GitHub issue and FILL OUT the last point.\n")
print(format_dict(info))
return info
def format_dict(d: dict) -> str:
return "\n".join([f"- {prop}: {val}" for prop, val in d.items()]) + "\n"
if __name__ == "__main__":
display_sys_info()

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@@ -0,0 +1,96 @@
#!/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()