VADA or DIRT-T failed about dirt-t HOT 9 CLOSED

It appears that the GPU card was not utilized. I updated drivers to CUDA 9.
Will update on progress.

from dirt-t.

Hi again,
Code runs and reproduces the results of the paper.
Tensorboard works also as expected. I suffered from some server limitations that only gave me partial access. Once I access the tensorboard server from the same machine that runs the tensorboard server the visualizations in the browser works excellent.

from dirt-t.

If the folder is empty, then it sounds like either VADA failed to run or failed to save. Check the tensorboard log to see if the model ran at all. To debug VADA, run

python run_dirtt.py --datadir data --run 999 --src mnist --trg svhn --dirt 0

this will print a progress bar.

from dirt-t.

Thanks. I did try with Tensorboard, but when I call it the Tensorboard server reports:
W0617 03:47:00.925464 Thread-7 program.py:292] 'EPIPE caused by 9.123.345.567:59010 in HTTP serving
Any clue what could have caused that?

Running with the argument '--run 999' does indeed show a progress bar

from dirt-t.

I now see this displayed:

but yet nothing is written to the filesystem (except for the creation of an empty folder in the checkpoints dir and the logs dir with a single file events.out.tfevents.1529260382.dccxc205).

My user has write permissions to all subfolders of "dirt-t".

from dirt-t.

It sounds like it's running just fine? It takes a few hours for VADA to run to completion on a 1080Ti.

from dirt-t.

How often is the code generating a checkpoint?
At what frequency is the log written?
Where in the code are the two above configured?

I'm using a K80 (which is weaker than the 1080Ti), and indeed the program is still running seemingly fine. Yet after running the whole night, I'd expected that some results would have been stored to disk. Was that a incorrect assumption perhaps?

from dirt-t.

Those configs are available in train.py. Based on your screenshot, it seems like you only went through 2054 mini-batch updates after a whole night; that sounds pretty slow. Training completes after 80k updates.

from dirt-t.

I'm a bit puzzled by what you described. Have you used tensorboard before?

from dirt-t.