ย
The advantage of this method is that you only have to install GPU driver on the host machine.
๐ Read Docker & GPU instead.
Update laterโฆ
On my computer, Dell XPS 15 7590 - NVIDIAยฎ GeForceยฎ GTX 1650 Mobile.
This section is not complete, the guide is still not working!
This guide is specific for:
๐ย Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory
Need to install new cuda & CUDNN libraries and tensorflow. (This note is for
tensorflow==2.3.1
and CUDA 11.1
) (ref). ๐ย WARNING:tensorflow:Your input ran out of data; interrupting training. Make sure that your dataset or generator can generate at least `steps_per_epoch * epochs` batches (in this case, 2000 batches). You may need to use the repeat() function when building your dataset.
Problem come from you don't have enough images!
We must have
steps_per_epoch * batch_size <= #of images
, in this case 100*20 = 2000 > 1027
. Check this answer for more information.๐ย Not found: No algorithm worked! OR This is probably because cuDNN failed to initialize