Fix typo in DecomposeBernoulli() match failure messages. (#2676)

llvm · Dec 20, 2023 · 20ab882 · 20ab882
1 parent 869c258
commit 20ab882
Showing 1 changed file with 3 additions and 3 deletions.
diff --git a/lib/Dialect/Torch/Transforms/DecomposeComplexOps.cpp b/lib/Dialect/Torch/Transforms/DecomposeComplexOps.cpp
@@ -3520,7 +3520,7 @@ class DecomposeAtenBernoulliOp : public OpRewritePattern<AtenBernoulliOp> {
     Value input = op.getSelf();
     if (!op.getGenerator().getType().isa<Torch::NoneType>())
       return rewriter.notifyMatchFailure(
-          op, "The generator has to ben None because only global default "
+          op, "The generator has to be None because only global default "
               "generator is supported");
     Value output;
     if (failed(
@@ -3546,7 +3546,7 @@ class DecomposeAtenBernoulliLikeOp : public OpRewritePattern<BernoulliLikeOp> {
     Value p = op.getP();
     if (!op.getGenerator().getType().template isa<Torch::NoneType>())
       return rewriter.notifyMatchFailure(
-          op, "The generator has to ben None because only global default "
+          op, "The generator has to be None because only global default "
               "generator is supported");
 
     auto inputType = input.getType().cast<BaseTensorType>();
@@ -3578,7 +3578,7 @@ class DecomposeAtenBernoulliTensorOp
     Value prob = op.getP();
     if (!op.getGenerator().getType().isa<Torch::NoneType>())
       return rewriter.notifyMatchFailure(
-          op, "The generator has to ben None because only global default "
+          op, "The generator has to be None because only global default "
               "generator is supported");
     Value output;
     if (failed(