Comments (2)
I get the error when run the following command: I'm using the repo in VMware which is why unable to use GPU
@mpc001 , looking forward to hearing from you.
CUDA_VISIBLE_DEVICES='' python3 main.py --config-path /home/ubuntu/TCN_LIPREADING_ROOT/Lipreading_using_Temporal_Convolutional_Networks/configs/lrw_resnet18_mstcn.json --annonation-direc /home/ubuntu/TCN_LIPREADING_ROOT/Lipreading_using_Temporal_Convolutional_Networks/LRW_data --data-dir /home/ubuntu/TCN_LIPREADING_ROOT/Lipreading_using_Temporal_Convolutional_Networks/datasets/visual_data
Model and log being saved in: ./train_logs/tcn/2022-04-14T18:30:41
Traceback (most recent call last):
File "main.py", line 261, in
main()
File "main.py", line 201, in main
model = get_model_from_json()
File "main.py", line 181, in get_model_from_json
model = Lipreading( modality=args.modality,
File "/home/ubuntu/.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 688, in cuda
return self._apply(lambda t: t.cuda(device))
File "/home/ubuntu/.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 578, in _apply
module._apply(fn)
File "/home/ubuntu/.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 578, in _apply
module._apply(fn)
File "/home/ubuntu/.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 578, in _apply
module._apply(fn)
[Previous line repeated 1 more time]
File "/home/ubuntu/.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 601, in _apply
param_applied = fn(param)
File "/home/ubuntu/.local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 688, in
return self._apply(lambda t: t.cuda(device))
File "/home/ubuntu/.local/lib/python3.8/site-packages/torch/cuda/init.py", line 216, in _lazy_init
torch._C._cuda_init()
RuntimeError: The NVIDIA driver on your system is too old (found version 10010). Please update your GPU driver by downloading and installing a new version from the URL: http://www.nvidia.com/Download/index.aspx Alternatively, go to: https://pytorch.org to install a PyTorch version that has been compiled with your version of the CUDA driver.
from lipreading_using_temporal_convolutional_networks.
i use cpu to test just through delete all the ".cuda()" function in the main , but i can not bear the very very slow speed
hope to help you
from lipreading_using_temporal_convolutional_networks.
Related Issues (20)
- Can we do Sentence Prediction for the model? HOT 1
- About variable length augmentation HOT 1
- DC-TCN number of parameters and Hardest words list
- Must convert gray? HOT 1
- ShuffleNet's Parameter
- Do this code in github include the part of data Augmentation? HOT 1
- With the same data , why the result is so different on ms-tcn and dc-tcn ?
- Acc of resnet18_dctcn_video_boundary in my test is wrong HOT 1
- about preprocessing
- cant process HOT 1
- How to use pretrain model after download from Google drive HOT 2
- what is the form of <ANNONATION-DIRECTORY> because I want applied it own my dataset , and landmark method.
- IndexError: index 28 is out of bounds for axis 0 with size 4 when run crop_mouth_from_video.py
- RuntimeError: CUDA error: device-side assert triggered HOT 2
- Can you tell me how to get word boundary from real reasoning?
- Not able to evaluate visual-only performance using the pre-processed npz files HOT 2
- KeyError: 'optimizer_state_dict' arise with Pretrined model
- Your work is excellent! How can I calculate lip reading loss L between the face my model reders and my ground truth image?
- How to create .pkl file for my own video
- How are you dealing with varied length of input - like some are 29,28,27.
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from lipreading_using_temporal_convolutional_networks.