whisper.cpp/examples/talk-llama/llama-hparams.cpp
Georgi Gerganov 99b011a9f5
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talk-llama : sync llama.cpp
2025-01-14 10:38:01 +02:00

72 lines
1.6 KiB
C++

#include "llama-hparams.h"
#include "ggml.h"
uint32_t llama_hparams::n_head(uint32_t il) const {
if (il < n_layer) {
return n_head_arr[il];
}
GGML_ABORT("fatal error");
}
uint32_t llama_hparams::n_head_kv(uint32_t il) const {
if (il < n_layer) {
return n_head_kv_arr[il];
}
GGML_ABORT("fatal error");
}
uint32_t llama_hparams::n_ff(uint32_t il) const {
if (il < n_layer) {
return n_ff_arr[il];
}
GGML_ABORT("fatal error");
}
uint32_t llama_hparams::n_gqa(uint32_t il) const {
const uint32_t n_head = this->n_head(il);
const uint32_t n_head_kv = this->n_head_kv(il);
if (n_head_kv == 0) {
return 0;
}
return n_head/n_head_kv;
}
uint32_t llama_hparams::n_embd_k_gqa(uint32_t il) const {
const uint32_t n_head_kv = this->n_head_kv(il);
return n_embd_head_k * n_head_kv;
}
uint32_t llama_hparams::n_embd_v_gqa(uint32_t il) const {
const uint32_t n_head_kv = this->n_head_kv(il);
return n_embd_head_v * n_head_kv;
}
uint32_t llama_hparams::n_embd_k_s() const {
if (wkv_head_size != 0) {
// for RWKV models
return token_shift_count * n_embd;
}
// TODO: maybe support other convolution strides than 1
// NOTE: since the first column of the conv_state is shifted out each time, it's not actually needed
return (ssm_d_conv > 0 ? ssm_d_conv - 1 : 0) * ssm_d_inner;
}
uint32_t llama_hparams::n_embd_v_s() const {
if (wkv_head_size != 0) {
// corresponds to RWKV's wkv_states size
return n_embd * wkv_head_size;
}
// corresponds to Mamba's ssm_states size
return ssm_d_state * ssm_d_inner;
}