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Fix cross attention in MHA #2337
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Signed-off-by: Ganesan Ramalingam <[email protected]>
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justinchuby
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May 26, 2025
justinchuby
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May 26, 2025
Co-authored-by: Justin Chu <[email protected]>
justinchuby
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May 27, 2025
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Fix a seeming bug in handling of cross-attention in MHA (to be verified): In MHA fusion, we start with an input graph where attention is applied to 4D query/key/value, and it is transformed into a MHA op on 3D query/key/value.
In the case of cross-attention (with no rotary-embedding): the fusion seems to convert just query to 3D, and seems to leave key and value as 4D, which seems wrong.
This PR adds the necessary 4D=>3D conversion for key/value before MHA.
Note: This is a quick fix for the relevant case (that shows up). Other combinations may be worth checking out separately.