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c367a4b6fd
This adds a new pass that is able to hoist operations implementing the
`BatchableOpInterface` out of a loop nest that applies the operation
to the elements of a tensor indexed by the loop induction variables.
Example:
scf.for %i = c0 to %cN step %c1 {
scf.for %j = c0 to %cM step %c1 {
scf.for %k = c0 to %cK step %c1 {
%s = tensor.extract %T[%i, %j, %k]
%res = batchable_op %s
...
}
}
}
is replaced with:
%batchedSlice = tensor.extract_slice
%T[%c0, %c0, %c0] [%cN, %cM, %cK] [%c1, %c1, %c1]
%flatSlice = tensor.collapse_shape %batchedSlice
%resTFlat = batchedOp %flatSlice
%resT = tensor.expand_shape %resTFlat
scf.for %i = c0 to %cN step %c1 {
scf.for %j = c0 to %cM step %c1 {
scf.for %k = c0 to %cK step %c1 {
%res = tensor.extract %resT[%i, %j, %k]
...
}
}
}
Every index of the tensor with the input values may be a quasi-affine
expression on a single loop induction variable, as long as the
difference between the results of the expression for any two
consecutive values of the referenced loop induction variable is
constant.