From 77973172823805ef6ae789ea89333ac8bf005d20 Mon Sep 17 00:00:00 2001
From: Vremold <xremold@gmail.com>
Date: Tue, 2 Aug 2022 18:12:04 +0800
Subject: [PATCH] [NFC] format code

---
 lib/Conversion/TorchToMhlo/ReductionOp.cpp | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/lib/Conversion/TorchToMhlo/ReductionOp.cpp b/lib/Conversion/TorchToMhlo/ReductionOp.cpp
index 481951f2286a..bbe030ca3fda 100644
--- a/lib/Conversion/TorchToMhlo/ReductionOp.cpp
+++ b/lib/Conversion/TorchToMhlo/ReductionOp.cpp
@@ -258,7 +258,7 @@ LogicalResult ConvertAtenReductionOp<AtenMaxDimOp>::matchAndRewrite(
   Value input = adaptor.self();
   auto inputTy = input.getType().template dyn_cast<RankedTensorType>();
   if (!inputTy) {
-    return op.emitError("Only Tensor types supported in MHLO");
+    return op.emitError("only Tensor types supported in MHLO");
   }
   auto inputElemTy = inputTy.getElementType();
   if (!inputElemTy.isIntOrFloat()) {
@@ -462,7 +462,7 @@ LogicalResult ConvertAtenReductionOp<AtenSumDimIntListOp>::matchAndRewrite(
   Value input = adaptor.self();
   auto inputTy = input.getType().dyn_cast<RankedTensorType>();
   if (!inputTy) {
-    return op.emitError("Only Tensor types supported in MHLO");
+    return op.emitError("only Tensor types supported in MHLO");
   }
   auto dtype = adaptor.dtype();
   if (!dtype.getType().isa<Torch::NoneType>()) {
@@ -495,7 +495,7 @@ LogicalResult ConvertAtenReductionOp<AtenSumDimIntListOp>::matchAndRewrite(
 
   for (auto d : inputDims) {
     d = toPositiveDim(d, inputTy.getRank());
-    // Drop invaid dim
+    // Drop invaid dims
     if (isValidDim(d, inputTy.getRank())) {
       dims.push_back(d);
     }