Comments (8)
Oh, I suggest you to use CUDA >=11.1,because the defualt cuda in the installation instructions is 10.1 which is not suitable for 30 serial GPU
from asmagan.
Sorry for the late respond ,did you follow the installation section in readme.md to build your environment? And what kind of GPU did you use.
from asmagan.
Hi there. No worries!
I did try to follow the installation instructions. However, I did get an error when building the environment with python 3.6.
I am using an RTX 3090 card.
PS: I am not in office at the moment, but I will try the installation instructions again in January.
Thanks for the reply!
from asmagan.
Thanks for the information, I will try that!
from asmagan.
Hello,
I am still getting an error:
raise AssertionError("Torch not compiled with CUDA enabled") AssertionError: Torch not compiled with CUDA enabled
Also I have installed CUDA 11.5
| NVIDIA-SMI 495.29.05 Driver Version: 495.29.05 CUDA Version: 11.5
I appreciate your help. Thanks!
regards,
Gero
from asmagan.
When I follow these instructions:
conda create -n ASMA python=3.7 conda activate ASMA conda install pytorch==1.8.1 torchvision==0.9.1 torchaudio==0.8.1 cudatoolkit=11.3 -c pytorch -c conda-forge pip install pyyaml paramiko pandas requests tensorboard tensorboardX tqdm
I get the following error:
anaconda3/envs/ASMA/lib/python3.7/site-packages/torchvision/transforms/functional.py", line 45, in _interpolation_modes_from_int return inverse_modes_mapping[i] KeyError: 1920
from asmagan.
for KeyError @Limbicnation
open "ASMAGAN/data_tools/test_data_loader_resize.py"
at line 36 correct like this
transform.append(T.Resize((1088,1920)))
from asmagan.
@birolkuyumcu Thank you very much!
This works perfectly now!
👍
from asmagan.
Related Issues (9)
- license HOT 1
- Fine Tuning for single class
- Thank you for your great project. When will the training code be released HOT 5
- The pretrained weights are not available HOT 1
- Can't download pre-trained model HOT 5
- Change aspect ratio of images
- RuntimeError: output with shape [1, 256, 256] doesn't match the broadcast shape [3, 256, 256] HOT 1
- KeyError 1920 HOT 1
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