How to run this on Mac without CUDA?
fgolemo opened this issue · 5 comments
Heyhey,
I have a question about how to run inference on Mac without CUDA:
- The install instructions say this is compatible with
Linux or macOS with Python ≥ 3.6
- There's a github issue that says inference can be run without a GPU: #169
Whenever I try to run a trained model, I get an error that MSDeformAttn
is not defined because that's a class that has to be compiled with CUDA libs.
Am I missing something? Is there some way to run this on Mac without CUDA or is CUDA strictly required?
Cheers,
Flo
I got same error here:
ModuleNotFoundError: No module named 'MultiScaleDeformableAttention'
During handling of the above exception, another exception occurred:
...
ModuleNotFoundError:
Please compile MultiScaleDeformableAttention CUDA op with the following commands:
`cd mask2former/modeling/pixel_decoder/ops`
`sh make.sh`
Hello,
I am also facing the same issue. Any solutions for this?
Are there any solutions now? I also get stuck here... ):
metoo! macOS user need help...
Tere's how I made it work on my laptop (AMD linux, no GPU).
The repo already provides the CUDA function MSDeformAttnFunction
for non CUDA/just pytorch via ms_deform_attn_core_pytorch
but it's most likely disabled so it doesn't hinder performance.
Simply disable the cuda checks and it works:
In mask2former/modeling/pixel_decoder/ops/modules/ms_deform_attn.py:
try:
from ..functions import MSDeformAttnFunction
except ModuleNotFoundError:
pass
and
mask2former/modeling/pixel_decoder/ops/functions/ms_deform_attn_func.py:
try:
import MultiScaleDeformableAttention as MSDA
except ModuleNotFoundError as e:
pass
and use
cfg.MODEL.DEVICE = "cpu"
predictor = DefaultPredictor(cfg)