ML Environment Doctor

Diagnostic Report - Generated on 2026-04-09 09:56:06

Version 0.1.5

Total Checks

15

Passed

3

Warnings

1

Critical Issues

7
Issue Status Severity Category Fix Details
Python Runtime PASS - 3.14.3 INFO runtime - Minimum supported version is 3.8
NVIDIA GPU Driver FAIL - nvidia-smi not found CRITICAL gpu Install NVIDIA drivers, then verify with: nvidia-smi The NVIDIA CLI utility is missing from PATH
PyTorch Installation FAIL - Not installed CRITICAL pytorch pip install torch --index-url https://download.pytorch.org/whl/cu124 PyTorch import failed
transformers FAIL - Not installed CRITICAL dependencies pip install transformers>=4.44.0 transformers is required for the recommended training stack
peft FAIL - Not installed CRITICAL dependencies pip install peft>=0.12.0 peft is required for the recommended training stack
trl FAIL - Not installed CRITICAL dependencies pip install trl>=0.9.0 trl is required for the recommended training stack
datasets FAIL - Not installed CRITICAL dependencies pip install datasets>=2.20.0 datasets is required for the recommended training stack
accelerate FAIL - Not installed CRITICAL dependencies pip install accelerate>=1.0.0 accelerate is required for the recommended training stack
TensorFlow INFO - Not installed INFO tensorflow pip install tensorflow[and-cuda] Optional unless you use TensorFlow/Keras workloads
Keras INFO - Not installed INFO tensorflow pip install keras>=3.0.0 Optional unless you use Keras directly
JAX INFO - Not installed INFO jax pip install jax flax Optional unless you use JAX/Flax workloads
Flax INFO - Not installed INFO jax pip install flax Install if you train JAX/Flax models
Disk Space PASS - 798.0GB free INFO system - Checked: /home/dhinakaran/.cache | Free: 797.98 GB
Docker GPU Support FAIL - GPU not accessible in Docker WARNING docker Install nvidia-container-toolkit, then test: docker run --rm --gpus all nvidia/cuda:12.4.0-base-ubuntu22.04 nvidia-smi docker: Error response from daemon: failed to create task for container: failed to create shim task: OCI runtime create failed: runc create failed: unable to start container process: error during container init: error running prestart hook #0: exit status 1, stdout: , stderr: Auto-detected mode as 'legacy' nvidia-container-cli: initialization error: WSL environment detected but no adapters were found Run 'docker run --help' for more information
Internet Connectivity PASS - HF Hub accessible INFO network - -