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context : always use non-causal attention for encoder graphs
ggml-ci
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@@ -1627,7 +1627,16 @@ llm_graph_result_ptr llama_context::graph_build(
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ggml_cgraph * gf,
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const llama_ubatch & ubatch,
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llm_graph_type gtype) {
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return model.build_graph(
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const auto causal_attn_org = cparams.causal_attn;
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// always use non-causal attention for encoder graphs
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// TODO: this is a tmp solution until we have a proper way to support enc-dec models
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// ref: https://github.com/ggml-org/llama.cpp/pull/12181#issuecomment-2730451223
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if (gtype == LLM_GRAPH_TYPE_ENCODER) {
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cparams.causal_attn = false;
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}
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auto res = model.build_graph(
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{
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/*.ctx =*/ ctx,
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/*.arch =*/ model.arch,
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@@ -1643,6 +1652,12 @@ llm_graph_result_ptr llama_context::graph_build(
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/*.n_outputs =*/ n_outputs,
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/*.cb =*/ graph_get_cb(),
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}, gf, gtype);
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if (gtype == LLM_GRAPH_TYPE_ENCODER) {
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cparams.causal_attn = causal_attn_org;
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}
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return res;
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}
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ggml_status llama_context::graph_compute(
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