14 commits

Author	SHA1	Message	Date
Jean-Marc Valin	c5a17a0716	Hard quantization for training ... Also, using stateful GRU to randomize initialization	2021-10-04 02:53:46 -04:00
Jean-Marc Valin	c5364153a8	Add more training options	2021-08-04 14:02:59 -04:00
Krishna Subramani	c1532559a2	Adds end-to-end LPC training ... Making LPC computation and prediction differentiable	2021-08-02 19:28:27 -04:00
Jean-Marc Valin	6ea726d401	Avoiding feature copies	2021-08-02 19:02:29 -04:00
Jean-Marc Valin	6585843237	Removing the unused features ... Down to 20 features	2021-07-29 03:20:59 -04:00
Jean-Marc Valin	4322c16335	Oops, actually use the size of GRU B for training	2021-07-20 15:36:15 -04:00
Jean-Marc Valin	346a96fa81	Training options for sparse GRU B	2021-07-20 02:35:42 -04:00
Jean-Marc Valin	0d53fad50d	Using np.memmap() to load the training data ... Makes loading faster	2021-07-14 13:47:23 -04:00
Jean-Marc Valin	5a51e2eed1	Adding command-line options to training script	2021-07-13 03:09:04 -04:00
Jean-Marc Valin	237245f815	Support for multi-GPU training ... Not sure why CuDNNGRU doesn't get used by default, but we need to explicitly use it to get things to run fast.	2021-06-18 13:20:43 -04:00
Jean-Marc Valin	79980b2044	Minor update to training scripts	2021-01-18 02:13:52 -05:00
Jean-Marc Valin	1657bae024	WIP: Adding a constraint	2021-01-16 02:11:19 -05:00
Jean-Marc Valin	cc28518699	wip 8x4 sparseness	2021-01-16 02:11:19 -05:00
Jean-Marc Valin	90fec91b12	Convert training code to Tensorflow 2	2020-08-19 14:27:07 -04:00