@@ -3520,7 +3520,7 @@ class DecomposeAtenBernoulliOp : public OpRewritePattern<AtenBernoulliOp> {
35203520 Value input = op.getSelf ();
35213521 if (!op.getGenerator ().getType ().isa <Torch::NoneType>())
35223522 return rewriter.notifyMatchFailure (
3523- op, " The generator has to ben None because only global default "
3523+ op, " The generator has to be None because only global default "
35243524 " generator is supported" );
35253525 Value output;
35263526 if (failed (
@@ -3546,7 +3546,7 @@ class DecomposeAtenBernoulliLikeOp : public OpRewritePattern<BernoulliLikeOp> {
35463546 Value p = op.getP ();
35473547 if (!op.getGenerator ().getType ().template isa <Torch::NoneType>())
35483548 return rewriter.notifyMatchFailure (
3549- op, " The generator has to ben None because only global default "
3549+ op, " The generator has to be None because only global default "
35503550 " generator is supported" );
35513551
35523552 auto inputType = input.getType ().cast <BaseTensorType>();
@@ -3578,7 +3578,7 @@ class DecomposeAtenBernoulliTensorOp
35783578 Value prob = op.getP ();
35793579 if (!op.getGenerator ().getType ().isa <Torch::NoneType>())
35803580 return rewriter.notifyMatchFailure (
3581- op, " The generator has to ben None because only global default "
3581+ op, " The generator has to be None because only global default "
35823582 " generator is supported" );
35833583 Value output;
35843584 if (failed (
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