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Merge branch 'upstream' into concedo_experimental

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# Conflicts:
#	.gitignore
#	CMakeLists.txt
#	flake.lock
#	llama.cpp
This commit is contained in:
Concedo 2024-06-03 14:46:12 +08:00
commit 8b29d5f848
4 changed files with 35 additions and 13 deletions
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10
examples/rpc/rpc-server.cpp
View file

@ -6,6 +6,10 @@
#include "ggml-metal.h"
#endif
#ifdef GGML_USE_SYCL
#include "ggml-sycl.h"
#endif
#include "ggml-rpc.h"
#ifdef _WIN32
# include <windows.h>
@ -79,6 +83,12 @@ static ggml_backend_t create_backend() {
if (!backend) {
fprintf(stderr, "%s: ggml_backend_metal_init() failed\n", __func__);
}
#elif GGML_USE_SYCL
fprintf(stderr, "%s: using SYCL backend\n", __func__);
backend = ggml_backend_sycl_init(0); // init device 0
if (!backend) {
fprintf(stderr, "%s: ggml_backend_sycl_init() failed\n", __func__);
}
#endif
// if there aren't GPU Backends fallback to CPU backend

2
ggml-alloc.c
View file

@ -377,7 +377,7 @@ ggml_gallocr_t ggml_gallocr_new_n(ggml_backend_buffer_type_t * bufts, int n_bufs
galloc->bufts = calloc(n_bufs, sizeof(ggml_backend_buffer_type_t));
GGML_ASSERT(galloc->bufts != NULL);
galloc->buffers = calloc(n_bufs, sizeof(ggml_backend_buffer_t) * n_bufs);
galloc->buffers = calloc(n_bufs, sizeof(ggml_backend_buffer_t));
GGML_ASSERT(galloc->buffers != NULL);
galloc->buf_tallocs = calloc(n_bufs, sizeof(struct ggml_dyn_tallocr *));

14
ggml-kompute.cpp
View file

@ -22,6 +22,7 @@
#include "shaderop_mul_mat_q4_1.h"
#include "shaderop_mul_mat_q6_k.h"
#include "shaderop_mul_mat_mat_f32.h"
#include "shaderop_getrows_f32.h"
#include "shaderop_getrows_f16.h"
#include "shaderop_getrows_q4_0.h"
#include "shaderop_getrows_q4_1.h"
@ -1146,6 +1147,14 @@ static void ggml_vk_get_rows(
seq.record<kp::OpAlgoDispatch>(s_algo);
}
template <typename... Args>
static void ggml_vk_get_rows_f32(Args&&... args) {
const static auto spirv = getSpirvShader(kp::shader_data::op_getrows_f32_comp_spv,
kp::shader_data::op_getrows_f32_comp_spv_len);
ggml_vk_get_rows(spirv, "f32", sizeof(float), 0, std::forward<Args>(args)...);
}
template <typename... Args>
static void ggml_vk_get_rows_f16(Args&&... args) {
const static auto spirv = getSpirvShader(kp::shader_data::op_getrows_f16_comp_spv,
@ -1371,6 +1380,7 @@ static bool ggml_vk_supports_op(const struct ggml_tensor * op) {
return op->ne[3] == 1;
case GGML_OP_GET_ROWS:
switch (op->src[0]->type) {
case GGML_TYPE_F32:
case GGML_TYPE_F16:
case GGML_TYPE_Q4_0:
case GGML_TYPE_Q4_1:
@ -1661,7 +1671,9 @@ static void ggml_vk_graph_compute(struct ggml_kompute_context * ctx, struct ggml
} break;
case GGML_OP_GET_ROWS:
{
if (src0t == GGML_TYPE_F16) {
if (src0t == GGML_TYPE_F32) {
ggml_vk_get_rows_f32(seq, id_src0, id_src1, id_dst, off_src0, off_src1, off_dst, ne00, nb01, nb1, ggml_nelements(src1));
} else if (src0t == GGML_TYPE_F16) {
ggml_vk_get_rows_f16(seq, id_src0, id_src1, id_dst, off_src0, off_src1, off_dst, ne00, nb01, nb1, ggml_nelements(src1));
} else if (src0t == GGML_TYPE_Q4_0) {
ggml_vk_get_rows_q4_0(seq, id_src0, id_src1, id_dst, off_src0, off_src1, off_dst, ne00, nb01, nb1, ggml_nelements(src1));

18
llama.cpp
View file

@ -2190,8 +2190,7 @@ struct llama_vocab {
std::vector<token_data> id_to_token;
std::vector<id> cache_special_tokens;
std::vector<token> cache_token_to_piece; // llama_token_to_piece(special = false);
std::vector<token> cache_token_to_piece_special; // llama_token_to_piece(special = true);
std::vector<token> cache_token_to_piece; // llama_token_to_piece(special = true);
std::map<std::pair<std::string, std::string>, int> bpe_ranks;
@ -4908,23 +4907,19 @@ static void llm_load_vocab(
LLAMA_LOG_INFO("%s: special tokens cache size = %u\n", __func__, (uint32_t)vocab.cache_special_tokens.size());
}
// build token to piece caches
// build token to piece cache
{
size_t size_cache = 0;
std::vector<llama_vocab::token> cache_token_to_piece(n_vocab);
std::vector<llama_vocab::token> cache_token_to_piece_special(n_vocab);
for (uint32_t id = 0; id < n_vocab; ++id) {
cache_token_to_piece[id] = llama_token_to_piece(&model, id, false);
cache_token_to_piece_special[id] = llama_token_to_piece(&model, id, true);
cache_token_to_piece[id] = llama_token_to_piece(&model, id, true);
size_cache += cache_token_to_piece[id].size();
size_cache += cache_token_to_piece_special[id].size();
}
std::swap(vocab.cache_token_to_piece, cache_token_to_piece);
std::swap(vocab.cache_token_to_piece_special, cache_token_to_piece_special);
LLAMA_LOG_INFO("%s: token to piece cache size = %.4f MB\n", __func__, size_cache / 1024.0 / 1024.0);
}
@ -18638,9 +18633,14 @@ int32_t llama_token_to_piece(const struct llama_model * model, llama_token token
return llama_token_to_piece_old(model, token, buf, length);
}
// ref: https://github.com/ggerganov/llama.cpp/pull/7587#discussion_r1620983843
if (!special && llama_is_control_token(model->vocab, token)) {
return 0;
}
// if we have a cache - use it
{
const auto & cache = special ? model->vocab.cache_token_to_piece_special : model->vocab.cache_token_to_piece;
const auto & cache = model->vocab.cache_token_to_piece;
if (!cache.empty()) {
const auto & res = cache.at(token);