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https://github.com/ggml-org/llama.cpp.git
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@@ -113,6 +113,15 @@ llama_context::llama_context(
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}
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}
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{
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const char * LLAMA_GRAPH_REUSE_DISABLE = getenv("LLAMA_GRAPH_REUSE_DISABLE");
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graph_reuse_disable = LLAMA_GRAPH_REUSE_DISABLE ? (atoi(LLAMA_GRAPH_REUSE_DISABLE) != 0) : graph_reuse_disable;
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if (graph_reuse_disable) {
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LLAMA_LOG_WARN("%s: graph reuse disabled\n", __func__);
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}
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}
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const uint32_t n_ctx_per_seq = cparams.n_ctx / cparams.n_seq_max;
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LLAMA_LOG_INFO("%s: n_seq_max = %u\n", __func__, cparams.n_seq_max);
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@@ -716,7 +725,7 @@ llm_graph_result * llama_context::process_ubatch(const llama_ubatch & ubatch, ll
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// in order to correctly reuse a graph, it's full topology has to be uniquely determined by these parameters
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const auto gparams = graph_params(res, ubatch, mctx, gtype);
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if (res->can_reuse(gparams)) {
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if (!graph_reuse_disable && res->can_reuse(gparams)) {
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//LLAMA_LOG_DEBUG("%s: reusing previous graph\n", __func__);
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n_reused++;
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@@ -291,6 +291,9 @@ private:
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// ref: https://github.com/ggml-org/llama.cpp/pull/14285
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bool supports_set_rows = false;
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// env: LLAMA_GRAPH_REUSE_DISABLE
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bool graph_reuse_disable = false;
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// perf
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mutable int64_t t_start_us = 0;
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mutable int64_t t_load_us = 0;
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@@ -423,7 +423,9 @@ struct llm_graph_params {
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(!ubatch.embd && !other.ubatch.embd)
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);
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if (can_reuse_ubatch && !ubatch.equal_seqs()) {
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// when we split the batch using "equal_seqs" we have to verify that the participating sequences are the same
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// the reason is because the set of attention streams would be different for different sequences
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if (can_reuse_ubatch && ubatch.equal_seqs()) {
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if (!ubatch.data) {
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// if the old ubatch does not own it's data, then we cannot guarantee that it is still alive, and
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// therefore we cannot perform the sequence id check. normally should never happen
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