eden-emu/opus
15
0
Fork 0
mirror of https://github.com/xiph/opus.git synced 2025-05-22 11:28:31 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions

first attempt of C implementation of fec encoder (not tested yet due to NEON/DOT_PROD not being separable)

Browse source
This commit is contained in:
Jan Buethe 2022-10-18 19:30:23 +02:00
parent 9629ea6a70
commit c1b357ed47
8 changed files with 417 additions and 2 deletions
Download patch file Download diff file Expand all files Collapse all files

12
dnn/nnet.c
View file

@ -38,6 +38,7 @@
#include "tansig_table.h"
#include "nnet.h"
#include "nnet_data.h"
#include "nfec_enc_data.h"
#include "plc_data.h"
#ifdef NO_OPTIMIZATIONS
@ -129,6 +130,11 @@ void _lpcnet_compute_dense(const DenseLayer *layer, float *output, const float *
compute_activation(output, output, N, layer->activation);
}
void compute_dense(const DenseLayer *layer, float *output, const float *input)
{
return _lpcnet_compute_dense(layer, output, input);
}
void compute_mdense(const MDenseLayer *layer, float *output, const float *input)
{
int i, c;
@ -316,7 +322,7 @@ void compute_gru2(const GRULayer *gru, float *state, const float *input)
state[i] = h[i];
}
#define MAX_RNN_NEURONS_ALL IMAX(MAX_RNN_NEURONS, PLC_MAX_RNN_NEURONS)
#define MAX_RNN_NEURONS_ALL IMAX(IMAX(MAX_RNN_NEURONS, PLC_MAX_RNN_NEURONS), NFEC_ENC_MAX_RNN_NEURONS)
void compute_gruB(const GRULayer *gru, const float* gru_b_condition, float *state, const float *input)
{
@ -442,12 +448,14 @@ void compute_sparse_gru(const SparseGRULayer *gru, float *state, const float *in
state[i] = z[i]*state[i] + (1-z[i])*h[i];
}
#define MAX_CONV_INPUTS_ALL IMAX(MAX_CONV_INPUTS, NFEC_ENC_MAX_CONV_INPUTS)
void compute_conv1d(const Conv1DLayer *layer, float *output, float *mem, const float *input)
{
int i;
int N, M;
int stride;
float tmp[MAX_CONV_INPUTS];
float tmp[MAX_CONV_INPUTS_ALL];
celt_assert(input != output);
celt_assert(layer->nb_inputs*layer->kernel_size <= MAX_CONV_INPUTS);
RNN_COPY(tmp, mem, layer->nb_inputs*(layer->kernel_size-1));