Jason Ramapuram

Results 27 issues of Jason Ramapuram

``` bash (.venv)➜ examples git:(master) ✗ python demo_cifar.py --devtype=gpu Traceback (most recent call last): File "demo_cifar.py", line 90, in main() File "demo_cifar.py", line 60, in main train = cgt.function(inputs=[X, y],...

Pytorch docs don't seem to display latex equations: ![Screen Shot 2019-07-23 at 11 08 23 AM](https://user-images.githubusercontent.com/8204807/61707612-2ff13480-ad4b-11e9-8ce0-67c2e14bd3b6.png)

So I tried to get this setup in a venv instead of / because its just cleaner imho. After the dependency install (as well as fixing python3-gi as [such](http://stackoverflow.com/questions/26678457/how-do-i-install-python3-gi-within-virtualenv) )...

There are quite a few problems using `af::array` to handle CPU GPU transitions. A swap to ndarray would be cleaner for host data

Data loading is slow. To resolve this we need a separate thread(s) that prefetch data into a queue which is used then in the actual model to execute (get_batch_*) calls.

When adding layers, check the sizing and throw a clean error message.

Remove the `unwrap()` calls all over the code and change it to a `Result` type

So been trying to use `image` as an alternative to speedup image cropping in python. I tested this against python bindings provided by `PIL-SIMD` and `vips`. `image` + `rayon` provides...

kind: question

example signature: ``` c af_err af_shuffle_in_place(af_array* out, const int seq_dim); ``` where `const int seq_dim` is the dim onto which shuffling takes place. Furthermore, it would make sense implementing something...

feature

It would be awesome to have arrayfire built as a static library in addition to a shared one. It makes it a lot easier to build in ar files into...

build