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llama : add high-throughput mode (#14363)

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* kv-cache : prepare K/V buffers for separation

ggml-ci

* batched-bench : fix oob write

ggml-ci

* llama : add "virtual sequences"

ggml-ci

* llama : use "stream" vs "virtual sequence"

ggml-ci

* graph : fix stream splitting when KV cache is not used

ggml-ci

* kv-cache : add multi-stream save/load support

ggml-ci

* llama : add "--attn-streams" flag

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* kv-cache : fix handling when find_slot fails

ggml-ci

* kv-cache : restore find_slot impl

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* kv-cache : add comments

* kv-cache : add bounds checks for sequence id

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* cont : add n_seq_max to batch allocr

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* kv-cache : perform stream copies lazily after llama_synchronize

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* kv-cache : avoid throwing exceptions across the C boundary

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* CUDA: 4D FlashAttention support (#14628)

* CUDA: 4D FlashAttention support

* CUDA: fix WMMA FA kernel

* llama : rename attn_streams -> kv_unified

ggml-ci

* common : rename kv_split -> kv_unified

ggml-ci

---------

Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
This commit is contained in:
Georgi Gerganov
2025-07-16 16:35:42 +03:00
committed by GitHub
parent ab14019821
commit 225e7a1438
30 changed files with 1080 additions and 460 deletions
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3
examples/parallel/parallel.cpp
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@@ -224,6 +224,7 @@ int main(int argc, char ** argv) {
auto & client = clients[i];
client.id = i;
client.smpl = common_sampler_init(model, params.sampling);
//params.sampling.seed++;
}
std::vector<llama_token> tokens_system;
@@ -345,7 +346,7 @@ int main(int argc, char ** argv) {
client.n_decoded = 0;
client.i_batch = batch.n_tokens - 1;
LOG_INF("\033[31mClient %3d, seq %4d, junk = %4d, started decoding ...\033[0m\n", client.id, client.seq_id, n_junk_cur);
LOG_INF("\033[31mClient %3d, seq %4d, junk = %4d, prompt = %d, started decoding ...\033[0m\n", client.id, client.seq_id, n_junk_cur, client.n_prompt);
g_seq_id += 1;