AutoTrain Advanced: FATAL ERROR: NVIDIA Management Library (NVML) not found

🤗AutoTrain
1

Hi, I’m following along this video, but instead of using a zip file, I’m using the chest x-ray dataset hosted on the hub from Julien Simon’s video.

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I’m getting the following error in my logs when I click on Train:

FATAL ERROR: NVIDIA Management Library (NVML) not found.
HINT: The NVIDIA Management Library ships with the NVIDIA display driver (available at
      https://www.nvidia.com/Download/index.aspx), or can be downloaded as part of the
      NVIDIA CUDA Toolkit (available at https://developer.nvidia.com/cuda-downloads).
      The lists of OS platforms and NVIDIA-GPUs supported by the NVML library can be
      found in the NVML API Reference at https://docs.nvidia.com/deploy/nvml-api.

I’ve already added my HF_TOKEN, and tried:

  1. Restarting the Space
  2. Factory Reboot

Why is this error occurring? What can I do to fix this error?

For context, I’m creating this project to teach young students on how to leverage the no-code interface on Hugging Face and Teachable Machine Learning.

2

you need to specify a train split.

3

Im having a similar error, the training split is not fixing it. Its suggesting this "pip3 install --force-reinstall nvidia-ml-py
"

1 Like
4

Facing same issue

5

thats just a warning. ignore it.

1 Like
6

alueError: The least populated class in y has only 1 member, which is too few. The minimum number of groups for any class cannot be less than 2.
FATAL ERROR: NVIDIA Management Library (NVML) not found.
HINT: The NVIDIA Management Library ships with the NVIDIA display driver (available at
Official Drivers | NVIDIA), or can be downloaded as part of the
NVIDIA CUDA Toolkit (available at CUDA Toolkit 12.4 Update 1 Downloads | NVIDIA Developer).
The lists of OS platforms and NVIDIA-GPUs supported by the NVML library can be
found in the NVML API Reference at NVML API Reference Guide :: GPU Deployment and Management Documentation.
FATAL ERROR: NVIDIA Management Library (NVML) not found.
HINT: The NVIDIA Management Library ships with the NVIDIA display driver (available at
Official Drivers | NVIDIA), or can be downloaded as part of the
NVIDIA CUDA Toolkit (available at CUDA Toolkit 12.4 Update 1 Downloads | NVIDIA Developer).
The lists of OS platforms and NVIDIA-GPUs supported by the NVML library can be
found in the NVML API Reference at NVML API Reference Guide :: GPU Deployment and Management Documentation.
FATAL ERROR: NVIDIA Management Library (NVML) not found.
HINT: The NVIDIA Management Library ships with the NVIDIA display driver (available at
Official Drivers | NVIDIA), or can be downloaded as part of the
NVIDIA CUDA Toolkit (available at CUDA Toolkit 12.4 Update 1 Downloads | NVIDIA Developer).
The lists of OS platforms and NVIDIA-GPUs supported by the NVML library can be
found in the NVML API Reference at NVML API Reference Guide :: GPU Deployment and Management Documentation.

7

facing the above issue when run auto train

8

Screenshot 2024-04-15 at 6.02.01 PM
Screenshot 2024-04-15 at 6.02.01 PM2068×1318 311 KB

9

Facing same issue

10

use gpu for large model

11

I am facing the same issue when running on local Mac M2 pro

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I also got this error when I tried autotrain app
Your installed package nvidia-ml-py is corrupted. Skip patch functions nvmlDeviceGet{Compute,Graphics,MPSCompute}RunningProcesses. You may get incorrect or incomplete results. Please consider reinstall package nvidia-ml-py via pip3 install --force-reinstall nvidia-ml-py nvitop.
Your installed package nvidia-ml-py is corrupted. Skip patch functions nvmlDeviceGetMemoryInfo. You may get incorrect or incomplete results. Please consider reinstall package nvidia-ml-py via pip3 install --force-reinstall nvidia-ml-py nvitop.

12

this is not an error. you can ignore it and move on. on macbook, you need to disable quantization.

13

ok removed as you mentioned and it ran as expected
But I can see a error mentioning No GPU support for bitsandbytes
i can see that it does not support mps yet (Support for Apple silicon · Issue #252 · bitsandbytes-foundation/bitsandbytes · GitHub)

I get these errors

/Users/temme/Documents/pogo/framework-validator/autotrain/lib/python3.10/site-packages/bitsandbytes/cextension.py:34: UserWarning: The installed version of bitsandbytes was compiled without GPU support. 8-bit optimizers, 8-bit multiplication, and GPU quantization are unavailable.
warn("The installed version of bitsandbytes was compiled without GPU support. "
‘NoneType’ object has no attribute ‘cadam32bit_grad_fp32’

my question is does it use CPU or GPU?

14

you need to set quantization to none. please follow the params here: How to Finetune phi-3 on MacBook Pro

15

thanks abhishek I can able to run it with TinyLlama