-
-
Setting `num_workers > 1` as suggested in the tutorial did speed optimization up, but Im looking for more speed up in generating the counterfactual explanations. I tried following the instructions for…
-
Hi, could we try to speed up the refutation by running the loops in parallel, both within a method while looping over number of simulations and also while looping through a list of refutation methods?…
-
change `backpropagate()` to two versions (one is sequential in data, one is parallel in data)
bobye updated
9 years ago
-
Hi! Thank you for the great project! Unfortunately I'm experiencing some issues, which could be caused by Windows (10 Pro) and I'm not sure how to solve them.
I installed autofaiss with conda into …
-
### Do you need to file an issue?
- [X] I have searched the existing issues and this bug is not already filed.
- [ ] My model is hosted on OpenAI or Azure. If not, please look at the "model providers…
-
Parallelization of several simulations is currently dealt with with a loop to avoid running more than 3 simulations at the same time.
There is probably a better way to manage parallelization (with a …
-
Pretty complex due to dependency graph. Also made messy by Python's concurrency model.
Could perhaps do a minimal version w/async + module loading?
E.g. determine all module dependencies, create…
-
@nouiz
Without the GPU, Theano tests can be parallelized without problem, for example using
```
for i in `seq 1 4`
do
THEANO_FLAGS='device=cpu' nosetests --processes=${i} --process-timeout=10000…
-