Robert Bates
Robert Bates
I've been toying with that - a simplified NumPy type interface with: - Support for opaque, NIF-based n-dimensional tensors in float16, float32 to ubiquitously support off-CPU processing - Basic BLAS...
Not to suggest we knock off the backend interface that Keras defines verbatim, but here's how they layered things out: https://github.com/keras-team/keras/tree/master/keras/backend
FWIW, I've successfully tested on the following configuration: - Ubuntu 16.04.6 LTS (GNU/Linux 4.15.0-45-generic x86_64) - (2) Nvidia Titan Xp, CUDA 10.0 installed with accompanying OpenCL drivers - Intel(R) Core(TM)...
Yeah, there is some overhead, but it's measured in nanoseconds on modern hardware best I can tell. The "yielding NIF" approach is probably not going to be very tractable as...
Nice, thanks! Once I finish up the 1.2 wrappers, docs and unit tests I'll take a swing at this.
OK, just forked your latest to play around with dirty scheduler support and timings. So far I've made one tiny change to `c_src/Makefile` to allow `USE_DIRTY_SCHEDULER` to be set from...
Same error on Intel MBP 16-in 2019 w 32GB running Ventura 13.4
@raffian @brozi did you ever suss out what the queries should look like? Hoping to leverage this to train a Delphi Python3 transcoder model. Thanks!
@raffian thanks for the links, will check them out! really hoping to find something that can intelligently perform the translation, or at least a large part of it.
Just notice PR #14 should address this...?