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unconditionally unroll sdpa layer for all models #1493

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unconditionally unroll sdpa layer for all models #1493

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9 changes: 9 additions & 0 deletions src/cpp/src/llm_pipeline_static.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -209,6 +209,13 @@ std::shared_ptr<ov::Model> cvt_value_tensors_layout(std::shared_ptr<ov::Model> m
return ppp.build();
}

void unroll_sdpa(std::shared_ptr<ov::Model> model) {
ov::pass::GraphRewrite rewr;
rewr.add_matcher<ScaledDotProductAttentionDecomposition>();
rewr.run_on_model(model);
ov::pass::Validate().run_on_model(model);
}

bool optimize_value_tensors(std::shared_ptr<ov::Model> model) {
ov::pass::GraphRewrite rewr;
rewr.add_matcher<ScaledDotProductAttentionDecomposition>();
Expand Down Expand Up @@ -1049,6 +1056,8 @@ void StatelessLLMPipeline::setupAndCompileModels(
m_kvcache_desc.v_tensors_transposed = true;
prefill_model = cvt_value_tensors_layout(prefill_model);
}
} else {
unroll_sdpa(kvcache_model);
}
// (7) Replace KV-cache tensors for the entire cache to tensors only for new token (before concat)
kvcache_model = redirect_new_kv_to_output(kvcache_model);
Expand Down
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