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authorAdam Nemet <anemet@apple.com>2021-05-18 09:59:07 -0700
committerAdam Nemet <anemet@apple.com>2021-05-25 11:12:20 -0700
commitdfd1bbd00ac09b84c76cc5980cee1deb68475a04 (patch)
tree3e1b7180b771867795b39c3d76e67632df469623 /lldb/source/Plugins/ScriptInterpreter/Python/ScriptInterpreterPython.cpp
parent2ea6e13bf8189efb09cec89184b21f1db3de0d1c (diff)
[Matrix] Factor and distribute transposes across multiplies
Now that we can fold some transposes into multiplies (CM: A * B^t and RM: A^t * B), we want to move them around to create the optimal expressions: * fold away double transposes while still using them to assert the shape * sink transposes hoping they cancel out * lift transposes when both operands are transposed This also modifies the matrix remarks to include the number of exposed transposes (i.e. transposes that we couldn't fold into a multiply). The adjustment to the test remarks-inlining is a bit subtle: I am changing the double transpose to a single transpose so that we don't remove it completely. More importantly this changes some of the total instruction count, most notable stores because we can no longer use a vector store. Differential Revision: https://reviews.llvm.org/D102733
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