void SENNA_nn_temporal_convolution(float *output, int output_frame_size,
float *weights, float *biases, float *input,
int input_frame_size, int n_frames,
int k_w) {
#ifdef USE_BLAS
if (k_w == 1) {
if (biases) {
int t;
for (t = 0; t < n_frames; t++)
cblas_scopy(output_frame_size, biases, 1,
output + t * output_frame_size, 1);
}
cblas_sgemm(CblasColMajor, CblasTrans, CblasNoTrans, output_frame_size,
n_frames, input_frame_size, 1.0, weights, input_frame_size,
input, input_frame_size, (biases ? 1.0 : 0.0), output,
output_frame_size);
} else
#endif
{
int t;
for (t = 0; t < n_frames - k_w + 1; t++)
SENNA_nn_linear(output + t * output_frame_size, output_frame_size,
weights, biases, input + t * input_frame_size,
input_frame_size * k_w);
}
}
int* SENNA_POS_forward(SENNA_POS *pos, const int *sentence_words, const int *sentence_caps, const int *sentence_suff, int sentence_size)
{
int idx;
//@AureDi sentence_size+pos->window_size-1: broad convolution (pos->ll_word_size+pos->ll_caps_size+pos->ll_suff_size): feature length
pos->input_state = SENNA_realloc(pos->input_state, sizeof(float), (sentence_size+pos->window_size-1)*(pos->ll_word_size+pos->ll_caps_size+pos->ll_suff_size));
pos->output_state = SENNA_realloc(pos->output_state, sizeof(float), sentence_size*pos->output_state_size);
SENNA_nn_lookup(pos->input_state, pos->ll_word_size+pos->ll_caps_size+pos->ll_suff_size, pos->ll_word_weight, pos->ll_word_size, pos->ll_word_max_idx, sentence_words, sentence_size, pos->ll_word_padding_idx, (pos->window_size-1)/2);
SENNA_nn_lookup(pos->input_state+pos->ll_word_size, pos->ll_word_size+pos->ll_caps_size+pos->ll_suff_size, pos->ll_caps_weight, pos->ll_caps_size, pos->ll_caps_max_idx, sentence_caps, sentence_size, pos->ll_caps_padding_idx, (pos->window_size-1)/2);
SENNA_nn_lookup(pos->input_state+pos->ll_word_size+pos->ll_caps_size, pos->ll_word_size+pos->ll_caps_size+pos->ll_suff_size, pos->ll_suff_weight, pos->ll_suff_size, pos->ll_suff_max_idx, sentence_suff, sentence_size, pos->ll_suff_padding_idx, (pos->window_size-1)/2);
for(idx = 0; idx < sentence_size; idx++)
{
SENNA_nn_linear(pos->hidden_state, pos->hidden_state_size, pos->l1_weight, pos->l1_bias, pos->input_state+idx*(pos->ll_word_size+pos->ll_caps_size+pos->ll_suff_size), pos->window_size*(pos->ll_word_size+pos->ll_caps_size+pos->ll_suff_size));
SENNA_nn_hardtanh(pos->hidden_state, pos->hidden_state, pos->hidden_state_size);
SENNA_nn_linear(pos->output_state+idx*pos->output_state_size, pos->output_state_size, pos->l2_weight, pos->l2_bias, pos->hidden_state, pos->hidden_state_size);
}
pos->labels = SENNA_realloc(pos->labels, sizeof(int), sentence_size);
SENNA_nn_viterbi(pos->labels, pos->viterbi_score_init, pos->viterbi_score_trans, pos->output_state, pos->output_state_size, sentence_size);
return pos->labels;
}
