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[LINALG][MLIR] Fix the broadcast dim check for elementwise ops lowering 

Signed-Off-by: Gaurav Shukla <gauravshukla789@gmail.com>
pull/2882/head
Gaurav Shukla 2024-02-07 03:18:28 +05:30
parent cc06391630
commit b3dfea223d
1 changed files with 5 additions and 1 deletions
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6
lib/Conversion/TorchToLinalg/Utils.cpp
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@ -297,7 +297,11 @@ Value torch_to_linalg::createElementwiseLinalgGeneric(
auto equalToRunning = auto equalToRunning =
b.create<arith::CmpIOp>(loc, arith::CmpIPredicate::eq, b.create<arith::CmpIOp>(loc, arith::CmpIPredicate::eq,
resultShape[resultDim], currentDimSize); resultShape[resultDim], currentDimSize);
b.create<cf::AssertOp>(loc, equalToRunning, auto equalToOne = b.create<arith::CmpIOp>(loc, arith::CmpIPredicate::eq,
c1, currentDimSize);
auto isValidBroadcast =
b.create<arith::OrIOp>(loc, equalToRunning, equalToOne);
b.create<cf::AssertOp>(loc, isValidBroadcast,
"mismatched size for broadcast"); "mismatched size for broadcast");
} }
} }