Jean-Marc Valin
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a93b09e241
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Adding RTCD for compute_conv2d()
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2023-11-17 14:20:09 -05:00 |
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Jean-Marc Valin
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4bfc0f8555
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Adding RTCD for compute_activation()
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2023-11-15 23:46:01 -05:00 |
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Jean-Marc Valin
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2e034f6f31
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Adding RTCD for DNN code
Starting with compute_linear()
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2023-11-15 23:45:32 -05:00 |
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Jean-Marc Valin
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ef8115bd9a
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Stop using tansig_table.h (both copies)
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2023-10-20 22:07:58 -04:00 |
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Jean-Marc Valin
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88c58cfaf3
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nnet.h no longer needs to #include "vec.h"
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2023-10-20 17:25:27 -04:00 |
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Jean-Marc Valin
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7f0d456c4b
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Remove unneeded functions in nnet.c
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2023-10-20 15:05:14 -04:00 |
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Jean-Marc Valin
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f512c9206b
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Unroll the 3x3 convolution case
Gets us about 2x speedup on x86
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2023-10-20 01:33:49 -04:00 |
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Jean-Marc Valin
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e51d3da901
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Fix tests
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2023-10-16 23:01:17 -04:00 |
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Jean-Marc Valin
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e7c9bfbbe2
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Finish removing LPCNet
And references to nnet_data.h
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2023-10-16 22:01:09 -04:00 |
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Jean-Marc Valin
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cbd3a80552
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minor tweaks
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2023-10-14 21:19:46 -04:00 |
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Jean-Marc Valin
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0b7c02caf4
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Remove LPCNet from the build
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2023-10-14 17:21:30 -04:00 |
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Jean-Marc Valin
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35cb8d7f66
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C implementation of FARGAN
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2023-10-14 16:42:33 -04:00 |
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Jean-Marc Valin
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f0ec990dba
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Switching to neural pitch estimator
Remove old pitch estimator and retrain all models
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2023-10-06 03:14:56 -04:00 |
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Jean-Marc Valin
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27663d3641
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Using a DenseNet for DRED
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2023-10-02 01:43:44 -04:00 |
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Jean-Marc Valin
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33adba02c7
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First version of pitch DNN C code
Totally untested -- most likely doesn't work
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2023-10-01 03:59:17 -04:00 |
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Jean-Marc Valin
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966a2d22eb
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Code for 2D convolution
Untested
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2023-09-30 23:43:51 -04:00 |
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Jean-Marc Valin
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83e95a5ce6
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Don't compute linear activation in-place
saves a few cycles
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2023-08-01 21:26:16 -04:00 |
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Jean-Marc Valin
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e62fd5c5c9
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C implementation of FWGAN
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2023-08-01 19:19:13 -04:00 |
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Jean-Marc Valin
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e9f8402a71
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Handle float matrices with multiple of 8 rows
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2023-08-01 19:16:27 -04:00 |
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Jean-Marc Valin
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5eaa4a504f
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Add Gated Linear Unit (GLU)
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2023-08-01 17:52:49 -04:00 |
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Jean-Marc Valin
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b1f94b1e92
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Add compute_generic_dense()
And missing prototypes
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2023-07-27 19:54:10 -04:00 |
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Jean-Marc Valin
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60d67b1112
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New compute_generic_conv1d()
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2023-07-27 19:54:10 -04:00 |
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Jean-Marc Valin
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62cd1c963b
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Transition to LinearLayer and remove unused code
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2023-07-20 01:01:34 -04:00 |
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Jean-Marc Valin
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f5a68a41b0
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Add generic linear layer
Should be able to handle all previous GRU variants and more.
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2023-07-20 01:01:32 -04:00 |
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Jean-Marc Valin
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8423ef1de2
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Remove unused code
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2023-07-20 01:01:29 -04:00 |
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Jean-Marc Valin
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f9f35904f4
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No longer need to #include "common.h"
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2023-06-27 17:13:06 -04:00 |
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Jean-Marc Valin
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9f4fc8bbfa
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Replacing RNN_ macros with existing OPUS_ ones
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2023-06-23 00:02:12 -04:00 |
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Marcus Asteborg
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f36685fc97
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Remove trailing whitespace in dnn
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2023-06-22 13:58:37 -07:00 |
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xnorpx
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5b96946277
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Use pragma message instead of warning on MSVC
Signed-off-by: Jean-Marc Valin <jmvalin@amazon.com>
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2023-05-23 02:31:09 -04:00 |
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Jan Buethe
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e6390e34c7
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removed compute_dense function (conflict with opus mlp)
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2022-10-21 12:33:34 +00:00 |
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Jan Buethe
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1978cc6094
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refactoring
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2022-10-21 12:13:38 +00:00 |
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Jan Buethe
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c1b357ed47
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first attempt of C implementation of fec encoder (not tested yet due to NEON/DOT_PROD not being separable)
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2022-10-18 19:30:23 +02:00 |
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Jean-Marc Valin
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f3bc6bacd2
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Avoiding tmp buffer overflows
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2022-02-03 00:27:20 -05:00 |
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Jean-Marc Valin
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2f5b51c94a
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Avoiding symbol clashes with Opus
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2022-01-24 23:21:31 -05:00 |
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Jean-Marc Valin
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805fed733a
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Fix warnings
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2022-01-24 16:33:32 -05:00 |
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Jean-Marc Valin
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57f5681987
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Add swish activation support
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2022-01-24 16:22:29 -05:00 |
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Jean-Marc Valin
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60a009b457
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Making codebase C90-compliant
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2022-01-19 18:10:44 -05:00 |
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Jean-Marc Valin
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3a47548536
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Using KISS99 (taken from Daala) as RNG
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2021-11-10 17:58:51 -05:00 |
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Jean-Marc Valin
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e4b4613d05
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Fix signed-unsigned biases
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2021-09-02 02:34:08 -04:00 |
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Jean-Marc Valin
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51ef273e06
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Using 8-bit recurrent weights for GRU B
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2021-09-02 02:33:55 -04:00 |
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Jean-Marc Valin
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8bdbbfa18d
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Support for sparse GRU B input matrices
Only on the C side, no sparse GRU B training yet
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2021-07-16 03:07:26 -04:00 |
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Jean-Marc Valin
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c74330e850
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Pre-compute GRU B conditioning
Adapted from PR: https://github.com/mozilla/LPCNet/pull/134
by zhuxiaoxu <zhuxiaoxu@ainirobot.com>
but had to be reworked due to previous weight quantization changes.
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2021-07-15 16:06:56 -04:00 |
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Jean-Marc Valin
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7d8b00f11d
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Sampling directly from the logit
Avoids having to compute a sigmoid
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2021-07-10 01:59:49 -04:00 |
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Jean-Marc Valin
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7cef98ec8c
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Minor optimization: merging all 3 embeddings
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2021-07-10 01:59:49 -04:00 |
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Jean-Marc Valin
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006556036a
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Cleaning up the sparse GRU
It no longer overwrites its input vector
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2021-07-10 01:59:49 -04:00 |
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Jean-Marc Valin
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d332100808
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Representing output pdf as binary probability tree
Saves on the MDense/softmax computation since we only need to compute
8 values instead of 256.
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2021-07-10 01:59:49 -04:00 |
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Jean-Marc Valin
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8c4b88cfab
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Using a bisection search for sampling
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2021-06-30 18:14:12 -04:00 |
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Jean-Marc Valin
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e35441f2cc
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Faster activation functions for AVX
Using rational function approximation for tanh() and sigmoid.
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2021-06-29 04:05:48 -04:00 |
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Jean-Marc Valin
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5571ef1b8e
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minor optimization: removing some copying
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2021-06-26 01:27:03 -04:00 |
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Jean-Marc Valin
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83657d0e43
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Dot product AVX2 code for non-sparse multiply
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2021-01-16 02:11:21 -05:00 |
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