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batched-bench : fix unified KV cache handling + pp timing (#15562)

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* batched-bench : fix unified KV cache handling + pp timing

* cont : run dummy token only with split KV cache
This commit is contained in:
Georgi Gerganov
2025-08-25 13:56:43 +03:00
committed by GitHub
parent 0d5a470223
commit 6b64f74b55
1 changed files with 14 additions and 3 deletions
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17
tools/batched-bench/batched-bench.cpp
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@@ -124,7 +124,7 @@ int main(int argc, char ** argv) {
const int tg = n_tg[i_tg];
const int pl = n_pl[i_pl];
const int n_ctx_req = is_pp_shared ? pp + pl*tg : pl*(pp + tg);
const int n_ctx_req = is_pp_shared ? (params.kv_unified ? pp : pl*pp) + pl*tg : pl*(pp + tg);
if (n_ctx_req > n_kv_max) {
continue;
@@ -147,13 +147,24 @@ int main(int argc, char ** argv) {
return 1;
}
const auto t_pp_end = ggml_time_us();
if (is_pp_shared) {
for (int32_t i = 1; i < pl; ++i) {
llama_memory_seq_cp(mem, 0, i, -1, -1);
}
}
const auto t_pp_end = ggml_time_us();
if (!params.kv_unified) {
// run one dummy token to apply the memory copy
common_batch_clear(batch);
common_batch_add(batch, get_token_rand(), pp + 0, { 0 }, true);
if (!decode_helper(ctx, batch, ctx_params.n_batch)) {
LOG_ERR("%s: llama_decode() failed\n", __func__);
return 1;
}
llama_memory_seq_rm(mem, 0, pp, -1);
}
}
const auto t_tg_start = ggml_time_us();