Giacomo Acciarini

Hello @zou3519 , I have a function that I would like to map over batches of tensors: I do not need to differentiate or anything, I would just like to...

@zou3519 Thank you for your reply! I actually tried that, but I got the same exception: ```Python def relu(x): return torch.where(((x < 0) or (x>0)), 1, 0) x = torch.ones((3,1))...

@zou3519 thanks again for the support! I have another question: are there workarounds for `while` loops? I have read [here](https://pytorch.org/functorch/nightly/ux_limitations.html) that you are working on a pytorch implementation of the...

Hi @rtqichen, thank you for your work! So how can we currently take high order gradients of the integration outputs with respect to the inputs (e.g. initial conditions or else)?

- [ ] https://github.com/fmfn/BayesianOptimization . It would be useful to have Bayesian Optimization in pagmo2. I found this software through google search and it seems to have a similar structure...

- [x] Add `tbb` among third-party dependencies for C++ installation (done, #340).

I believe that the problem is that this `while` loop can be endless in case the initial population is out of bounds: https://github.com/esa/pagmo2/blob/master/src/algorithms/gaco.cpp#L855. I think there are two possibilities: either...

Indeed, another configuration parameter seems a bit too much, and if the bounds are chosen wide enough the performance should be the same, so I will just throw I guess...

Just out of curiosity, would this use bring some advantages performance-wise? Or is it just to help the developer in coding?

Hi! Which `python` version are you using?