Cuda issue : RuntimeError: CUDA error: invalid device ordinal

[nathanetourneau]

In your code, the GPU you are using is named "cuda:1", but this fails on some computers.

For instance, on my computer, this dummy piece of code fails :

import torch
device = torch.device("cuda:1")
a = torch.tensor([1, 2, 3])
a.to(device)  # Fails

The error is

RuntimeError: CUDA error: invalid device ordinal
CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1

I had the same error with this repository, and I fixed this error by replacing all occurences of "cuda:1" to "cuda:0"

The files involved are:

• tab-ddpm/scripts/train.py

  Line 12 in b476257

  def __init__(self, diffusion, train_iter, lr, weight_decay, steps, device=torch.device('cuda:1')):

• tab-ddpm/scripts/train.py

  Line 91 in b476257

  device = torch.device('cuda:1'),

• tab-ddpm/scripts/pipeline.py

  Line 41 in b476257

  device = torch.device('cuda:1')

• tab-ddpm/scripts/sample.py

  Line 34 in b476257

  device = torch.device('cuda:1'),

• all the files in exp/*/*/config.toml

[xxxxibo]

Hi, I'm having the same problem as you and would like to ask about your version of cuda and pytorch to run the code？

[VinuraD]

Yes , changed the .toml file as a workaround.