test_train_timeout_subprocess fail randomly about padatious

[MatthewScholefield]

Sorry for the late reply. Curious, what platform is this build system running on?

[pgajdos]

It is 32-bit or 64-bit linux. I do not remember much; when I run it on live system, I am getting in verbatim:

$ python3 test.py
Some objects timed out while training
Took too long to train a
Took too long to train b
0.46342682399972546
Some objects timed out while training
0.5481992479999462
Some objects timed out while training
0.474773013000231
Some objects timed out while training
0.5743695310002295
Some objects timed out while training
0.4770706409999548
Some objects timed out while training
0.5607837820007262
Some objects timed out while training
Regenerated b.
Regenerated a.
6.3757639979994565
0.45383565700012696
0.4491451869998855
0.46560020400011126
$

Unfortunately I do not understand the module or neural networks more to be sure I do not do anything wrong. But the fact, that the test is failing in certain percent of runs seem to be correct. Currently, we are just skipping the test.

See build logs: 32-bit, 64-bit

Note that in the build log the test value is only slightly more than 1s, so this might be a different issue than above. The build system may be slower than my live system. We can either assign better worker for this task or skip the test entirely.

What do you suggest?