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pytorch-rls-v3.5.3-3

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modify inner_product_forward to support broadcast add fusion (#346)

pytorch-rls-v3.5.3-2

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Add computation modes to primitive descriptor cache key (#327)

fpmath_mode, accumulation_mode, scratchpad_mode and deterministic modes
are not encoded as part of the key for the pd cache. This can cause
subsequent creations of a primitive to ignore changes to these modes
( e.g. during unit tests ).

In particular changing fpmath_mode between subsequent, otherwise identical,
calls to a matmul has no effect since the pd is loaded from cache from
previous call.

pytorch-rls-v3.5.3

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Upgrade oneDNN to v3.5.3

pytorch-rls-v3.5.1

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Upgrade oneDNN to v3.5.1

pytorch-rls-v3.5

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Upgrade oneDNN to rls-v3.5 (#321)

pytorch-rls-v3.4.2-2

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add opattr arg for conv bwd for bf32 support (#311)

* add opattr arg for conv bwd for bf32 support

* Update IDEEP_VERSION_REVISION

pytorch-rls-v3.4.2

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Upgrade oneDNN to v3.4.2 (#310)

pytorch-rls-v3.4.1

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Upgrade oneDNN to v3.4.1 (#300)

pytorch-rls-v3.3.6

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Upgrade oneDNN to v3.3.6 (#294)

pytorch-rls-v3.3.5

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Update oneDNN to v3.3.5 (#287)