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Merge branch 'main' into dev

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Li, Zonghang 2025-06-03 17:56:47 +04:00
commit a01fafd126
3 changed files with 41 additions and 11 deletions
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39
common/profiler.cpp
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@ -48,6 +48,16 @@
#include <dirent.h>
static int gcd_int(int a, int b) {
while (b != 0) {
int t = b;
b = a % b;
a = t;
}
return a;
}
static size_t get_page_size() {
size_t page_size = 0;
@ -154,8 +164,25 @@ uint32_t device_cpu_cores() {
static float device_flops(struct llama_model * model, enum ggml_type src0t, enum ggml_type src1t, enum profiler_backend_type btype, int n_threads) {
int n_repeat = 1;
int n_embd = std::min(llama_n_embd(model), 4096);
if (btype == PROFILER_BACKEND_TYPE_CPU) n_embd /= 8; // simulate small tensor calculation on cpu
int n_embd = std::min(llama_n_embd(model), 4096);
// simulate small tensor calculation on cpu
if (btype == PROFILER_BACKEND_TYPE_CPU) n_embd /= 8;
// ensure that the block sizes of the tensors are compatible
int bs0 = ggml_blck_size(src0t);
int bs1 = ggml_blck_size(src1t);
int gcd = gcd_int(bs0, bs1);
int lcm = bs0 / gcd * bs1;
if (n_embd % bs0 != 0 || n_embd % bs1 != 0) {
if (n_embd < lcm) {
n_embd = 2 * lcm;
} else {
n_embd = 2 * (n_embd / lcm) * lcm;
}
}
std::vector<float> matrix_A(n_embd * n_embd, 1.0f);
std::vector<float> matrix_B(n_embd * n_embd, 1.0f / n_embd);
@ -188,9 +215,6 @@ static float device_flops(struct llama_model * model, enum ggml_type src0t, enum
};
struct ggml_context * ctx = ggml_init(params);
if(n_embd < ggml_blck_size(src0t)){
n_embd = 2 * ggml_blck_size(src0t);
}
struct ggml_tensor * tensor_a = ggml_new_tensor_2d(ctx, src0t, n_embd, n_embd);
struct ggml_tensor * tensor_b = ggml_new_tensor_2d(ctx, src1t, n_embd, n_embd);
@ -415,7 +439,7 @@ float device_inp_embd_delay(struct llama_model * model, enum ggml_type src0t, in
}
// warm-up
// ggml_backend_graph_compute(backend, gf);
ggml_backend_graph_compute(backend, gf);
const int64_t t_start = ggml_time_us();
ggml_backend_graph_compute(backend, gf);
@ -1264,6 +1288,9 @@ static float device_mem_copy(struct llama_model * model, enum profiler_backend_t
ggml_backend_cpu_set_n_threads(backend, n_threads);
}
// warm-up
ggml_backend_graph_compute(backend, gf);
const int64_t t_start = ggml_time_us();
ggml_backend_graph_compute(backend, gf);
const int64_t t_end = ggml_time_us();