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Enable HPU Fused SDPA for Qwen3-VL vision attention using attention masks #787
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Enable HPU Fused SDPA for Qwen3-VL vision attention using attention masks #787
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🚧 CI BlockedThe main CI workflow was not started for the following reason:
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Signed-off-by: slokesha <slokeshappa@habana.ai>
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🚧 CI BlockedThe main CI workflow was not started for the following reason:
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🚧 CI BlockedThe main CI workflow was not started for the following reason:
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Signed-off-by: Spurthi Lokeshappa <slokeshappa@habana.ai>
🚧 CI BlockedThe main CI workflow was not started for the following reason:
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Signed-off-by: slokesha <spurthi.lokeshappa@intel.com>
🚧 CI BlockedThe main CI workflow was not started for the following reason:
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✅ CI PassedAll checks passed successfully against the following vllm commit: |
Qwen3-VL vision attention is updated to use FusedSDPA.apply directly when the query sequence length is within the supported fused range (q_len ≤ 65536).
This removes the per-block Q/K/V attention loop and enables the optimized HPU fused SDPA kernel for vision attention.
The change aligns Qwen3-VL with the optimized path already used by Qwen2.5-VL on Gaudi, improving efficiency while preserving identical model outputs.