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llama : refactor llama_context, llama_kv_cache, llm_build_context (#12181)
* llama : refactor llama_context, llama_kv_cache, llm_build_context ggml-ci * graph : don't mutate the KV cache during defrag ggml-ci * context : reduce virtuals + remove test function ggml-ci * context : move interface implementation to source file + factory ggml-ci * graph : move KV cache build functions to llama_context impl ggml-ci * graph : remove model reference from build_pooling ggml-ci * graph : remove llama_model reference ggml-ci * kv_cache : provide rope factors ggml-ci * graph : rework inputs to use only unique_ptr, remove attn input abstraction ggml-ci * context : remove llama_context_i abstraction ggml-ci * context : clean-up ggml-ci * graph : clean-up ggml-ci * llama : remove redundant keywords (struct, enum) ggml-ci * model : adapt gemma3 ggml-ci * graph : restore same attention ops as on master ggml-ci * llama : remove TODO + fix indent ggml-ci
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@ -202,7 +202,7 @@ int main(int argc, char ** argv) {
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// assign the system KV cache to all parallel sequences
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for (int32_t i = 1; i <= n_clients; ++i) {
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llama_kv_cache_seq_cp(ctx, 0, i, -1, -1);
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llama_kv_self_seq_cp(ctx, 0, i, -1, -1);
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}
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LOG_INF("\n");
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@ -234,9 +234,9 @@ int main(int argc, char ** argv) {
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if (batch.n_tokens == 0) {
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// all sequences have ended - clear the entire KV cache
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for (int i = 1; i <= n_clients; ++i) {
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llama_kv_cache_seq_rm(ctx, i, -1, -1);
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llama_kv_self_seq_rm(ctx, i, -1, -1);
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// but keep the system prompt
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llama_kv_cache_seq_cp(ctx, 0, i, -1, -1);
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llama_kv_self_seq_cp(ctx, 0, i, -1, -1);
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}
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LOG_INF("%s: clearing the KV cache\n", __func__);
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@ -372,8 +372,8 @@ int main(int argc, char ** argv) {
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}
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// delete only the generated part of the sequence, i.e. keep the system prompt in the cache
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llama_kv_cache_seq_rm(ctx, client.id + 1, -1, -1);
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llama_kv_cache_seq_cp(ctx, 0, client.id + 1, -1, -1);
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llama_kv_self_seq_rm(ctx, client.id + 1, -1, -1);
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llama_kv_self_seq_cp(ctx, 0, client.id + 1, -1, -1);
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const auto t_main_end = ggml_time_us();
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