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graph: backend: dnnl: support permute for scale and zps inputs #2291
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Labels
component:graph-api
Codeowner: @oneapi-src/onednn-graph
component:tests
Codeowner: @oneapi-src/onednn-arch
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Description
We recently supported the compressed SDPA patterns which incorporate scales and zero points as inputs. Also, we aim to support the problem with a Key shape of ( N, H, S, D ) with
transpose_b
=true for the QK MatMul. For such case with transposed MatMul, the graph library addspermute
ops prior to the pattern input, including the scale and zp tensors. To be more specific, for the following woq MatMul with tranpose_b=true:After the graph compilation, we will have the graph as follows. The permute ops will not touch the physical memories but only change the mds.
However, we faced a issue that DNNL backend always regards scale and zp tensors as
abx
format, leading to failing results, hence we need to set the tag explicitly asabx
and execute extra reorders. After the change, the graph after compilation is like:TODO