env-doctor

<p align="center"> <img src="https://raw.githubusercontent.com/mitulgarg/env-doctor/main/docs/assets/logo.svg" alt="Env-Doctor Logo" width="80" height="80"> </p> <h1 align="center">Env-Doctor</h1> <p align="center"> <strong>The missing link between your GPU and Python AI libraries</strong> </p> <p align="center"> <a href="https://mitulgarg.github.io/env-doctor/"> <img src="https://img.shields.io/badge/docs-github.io-blueviolet?style=flat-square" alt="Documentation"> </a> <a href="https://pypi.org/project/env-doctor/"> <img src="https://img.shields.io/pypi/v/env-doctor?style=flat-square&color=blue&label=PyPI" alt="PyPI"> </a> <a href="https://pypi.org/project/env-doctor/"> <img src="https://img.shields.io/pypi/dm/env-doctor?style=flat-square&color=success&label=Downloads" alt="Downloads"> </a> <img src="https://img.shields.io/badge/python-3.10%2B-blue?style=flat-square" alt="Python"> <a href="https://github.com/mitulgarg/env-doctor/blob/main/LICENSE"> <img src="https://img.shields.io/github/license/mitulgarg/env-doctor?style=flat-square&color=green" alt="License"> </a> <a href="https://github.com/mitulgarg/env-doctor/stargazers"> <img src="https://img.shields.io/github/stars/mitulgarg/env-doctor?style=flat-square&color=yellow" alt="GitHub Stars"> </a> </p>

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"Why does my PyTorch crash with CUDA errors when I just installed it?"

Because your driver supports CUDA 11.8, but pip install torch gave you CUDA 12.4 wheels.

Env-Doctor diagnoses and fixes the #1 frustration in GPU computing: mismatched CUDA versions between your NVIDIA driver, system toolkit, cuDNN, and Python libraries.

It takes 5 seconds to find out if your environment is broken - and exactly how to fix it.

Doctor "Check" (Diagnosis)