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batched-bench : add mmq CLI arg

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Georgi Gerganov 2023-10-11 19:42:33 +03:00
parent daeb834da9
commit 2fcdf869cd
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2 changed files with 17 additions and 10 deletions
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4
examples/batched-bench/README.md
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@ -10,7 +10,7 @@ There are 2 modes of operation:
- `prompt is shared` - there is a common prompt of size `PP` used by all batches (i.e. `N_KV = PP + B*TG`) - `prompt is shared` - there is a common prompt of size `PP` used by all batches (i.e. `N_KV = PP + B*TG`)
```bash ```bash
./batched-bench MODEL_PATH [N_KV_MAX] [IS_PP_SHARED] [NGL] <PP> <TG> <PL> ./batched-bench MODEL_PATH [N_KV_MAX] [IS_PP_SHARED] [NGL] [MMQ] <PP> <TG> <PL>
# LLaMA 7B, F16, N_KV_MAX = 16384 (8GB), prompt not shared # LLaMA 7B, F16, N_KV_MAX = 16384 (8GB), prompt not shared
./batched-bench ./models/llama-7b/ggml-model-f16.gguf 16384 0 99 ./batched-bench ./models/llama-7b/ggml-model-f16.gguf 16384 0 99
@ -19,7 +19,7 @@ There are 2 modes of operation:
./batched-bench ./models/llama-7b/ggml-model-q8_0.gguf 16384 1 99 ./batched-bench ./models/llama-7b/ggml-model-q8_0.gguf 16384 1 99
# custom set of batches # custom set of batches
./batched-bench ./models/llama-7b/ggml-model-q8_0.gguf 2048 0 999 128,256,512 128,256 1,2,4,8,16,32 ./batched-bench ./models/llama-7b/ggml-model-q8_0.gguf 2048 0 999 0 128,256,512 128,256 1,2,4,8,16,32
``` ```
## Sample results ## Sample results

23
examples/batched-bench/batched-bench.cpp
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@ -32,15 +32,16 @@ int main(int argc, char ** argv) {
gpt_params params; gpt_params params;
if (argc == 1 || argv[1][0] == '-') { if (argc == 1 || argv[1][0] == '-') {
printf("usage: %s MODEL_PATH [N_KV_MAX] [IS_PP_SHARED] [NGL] <PP> <TG> <PL>\n" , argv[0]); printf("usage: %s MODEL_PATH [N_KV_MAX] [IS_PP_SHARED] [NGL] [MMQ] <PP> <TG> <PL>\n" , argv[0]);
printf(" <PP>, <TG> and PL are comma-separated lists of numbers without spaces\n\n"); printf(" <PP>, <TG> and PL are comma-separated lists of numbers without spaces\n\n");
printf(" example: %s ggml-model-f16.gguf 2048 0 999 128,256,512 128,256 1,2,4,8,16,32\n\n", argv[0]); printf(" example: %s ggml-model-f16.gguf 2048 0 999 0 128,256,512 128,256 1,2,4,8,16,32\n\n", argv[0]);
return 1 ; return 1 ;
} }
int n_kv_max = 2048; int n_kv_max = 2048;
int is_pp_shared = 0; int is_pp_shared = 0;
int n_gpu_layers = 0; int n_gpu_layers = 0;
int mmq = 0;
std::vector<int> n_pp = { 128, 256, 512, 1024, 2048, 3584, 7680, }; std::vector<int> n_pp = { 128, 256, 512, 1024, 2048, 3584, 7680, };
std::vector<int> n_tg = { 128, 256, }; std::vector<int> n_tg = { 128, 256, };
@ -64,15 +65,19 @@ int main(int argc, char ** argv) {
} }
if (argc >= 6) { if (argc >= 6) {
n_pp = parse_list(argv[5]); mmq = std::atoi(argv[5]);
} }
if (argc >= 7) { if (argc >= 7) {
n_tg = parse_list(argv[6]); n_pp = parse_list(argv[6]);
} }
if (argc >= 8) { if (argc >= 8) {
n_pl = parse_list(argv[7]); n_tg = parse_list(argv[7]);
}
if (argc >= 9) {
n_pl = parse_list(argv[8]);
} }
// init LLM // init LLM
@ -94,9 +99,11 @@ int main(int argc, char ** argv) {
llama_context_params ctx_params = llama_context_default_params(); llama_context_params ctx_params = llama_context_default_params();
ctx_params.seed = 1234; ctx_params.seed = 1234;
ctx_params.n_ctx = n_kv_max; ctx_params.n_ctx = n_kv_max;
ctx_params.n_batch = 512; ctx_params.n_batch = 512;
ctx_params.mul_mat_q = mmq;
ctx_params.n_threads = params.n_threads; ctx_params.n_threads = params.n_threads;
ctx_params.n_threads_batch = params.n_threads_batch == -1 ? params.n_threads : params.n_threads_batch; ctx_params.n_threads_batch = params.n_threads_batch == -1 ? params.n_threads : params.n_threads_batch;