diff --git a/lib/Conversion/TorchToLinalg/DataMovement.cpp b/lib/Conversion/TorchToLinalg/DataMovement.cpp
index b8c20bc73f65..db5afbf06c7b 100644
--- a/lib/Conversion/TorchToLinalg/DataMovement.cpp
+++ b/lib/Conversion/TorchToLinalg/DataMovement.cpp
@@ -404,14 +404,21 @@ class ConvertAtenReflectionPad2dOp
     Value hDimSize = inputShape[hDim];
     Value vDimSize = inputShape[vDim];
 
-    assert(getHPadArgument(LEFT) < inputType.getShape()[hDim] &&
-           "Left padding too large");
-    assert(getHPadArgument(RIGHT) < inputType.getShape()[hDim] &&
-           "Right padding too large");
-    assert(getVPadArgument(TOP) < inputType.getShape()[vDim] &&
-           "Top padding too large");
-    assert(getVPadArgument(BOTTOM) < inputType.getShape()[vDim] &&
-           "Bottom padding too large");
+    auto verifyPadding = [&](int64_t padArgument, int64_t dim,
+                             StringRef errorMessage) {
+      auto padValue = rewriter.create<arith::ConstantIndexOp>(loc, padArgument);
+      Value index = rewriter.create<arith::ConstantIndexOp>(loc, dim);
+      Value shapeDim = rewriter.create<tensor::DimOp>(loc, input, index);
+      Value cmpPred = rewriter.create<arith::CmpIOp>(
+          loc, arith::CmpIPredicate::sle, padValue, shapeDim);
+      rewriter.create<cf::AssertOp>(loc, cmpPred,
+                                    rewriter.getStringAttr(errorMessage));
+    };
+
+    verifyPadding(getHPadArgument(LEFT), hDim, "Left padding too large");
+    verifyPadding(getHPadArgument(RIGHT), hDim, "Right padding too large");
+    verifyPadding(getVPadArgument(TOP), vDim, "Top padding too large");
+    verifyPadding(getVPadArgument(BOTTOM), vDim, "Bottom padding too large");
 
     Type indexType = rewriter.getIndexType();
     Value zero = getConstant(rewriter, loc, 0, indexType);