You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I'm trying to follow the steps in the README.md, everything goes well till step 3 while trying to run the code on CPU:
$docker run -it cancerdatascience/scnn:1.0 /bin/bash
root@97d439b58033:/# cd /root/scnn
root@97d439b58033:/# python model_train.py
I got this error at the end (after Filling queue with 495 images before starting to train. This will take a few minutes.):
NVIDIA: no NVIDIA devices found
E tensorflow/stream_executor/cuda/cuda_driver.cc:509] failed call to cuInit: CUDA_ERROR_UNKNOWN
I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:145] kernel driver does not appear to be running on this host (8518fd91b0ac): /proc/driver/nvidia/version does not exist
Killed
Any help to solve this issue, please?
The text was updated successfully, but these errors were encountered:
Same issue here, running on Macbook pro so no GPU access. I assume the TensorFlow code is trying to force GPU usage but not sure since cannot see code yet (issue #16 ).
Is there a flag we can use to force CPU for TensorFlow when running this file?
Hi,
I'm trying to follow the steps in the
README.md
, everything goes well till step 3 while trying to run the code on CPU:I got this error at the end (after
Filling queue with 495 images before starting to train. This will take a few minutes.
):Any help to solve this issue, please?
The text was updated successfully, but these errors were encountered: