Tres Popp 2ef71cb7fd [mlir] Add additional Canonicalization of shape.cstr_broadcastable. ...

Summary:
Added canonicalization and folding was:
- Folding when either input is an attribute indicating a scalar input
which can always be broadcasted.
- Canonicalization where it can be determined that either input shape is
a scalar.
- Canonicalization where the partially specified input shapes can be
proven to be broadcastable always.

Differential Revision: https://reviews.llvm.org/D83194

2020-07-09 11:23:25 +02:00

9.0 KiB

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