diff --git a/lib/Conversion/TorchOnnxToTorch/DefaultDomainAtoF.cpp b/lib/Conversion/TorchOnnxToTorch/DefaultDomainAtoF.cpp
index 14aa41bef349..6a5b06683fbc 100644
--- a/lib/Conversion/TorchOnnxToTorch/DefaultDomainAtoF.cpp
+++ b/lib/Conversion/TorchOnnxToTorch/DefaultDomainAtoF.cpp
@@ -356,9 +356,16 @@ void mlir::torch::onnx_c::populateDefaultDomainAtoF(
           cstKernel.push_back(rewriter.create<Torch::ConstantIntOp>(
               binder.getLoc(), rewriter.getI64IntegerAttr(i)));
         }
-        for (int64_t i : padding) {
+        // Onnx pads format: [x1_begin, x2_begin…x1_end, x2_end,…]
+        // Pytorch pads format: [x1, x2,...] or [x], assume begin==end for all axes x.
+        int64_t paddingSizeHalf = padding.size()/2;
+        for (int64_t i = 0; i < paddingSizeHalf; ++i) {
+          // Check if onnx padding attribute is symmetric.
+          if(padding[i] != padding[i + paddingSizeHalf])
+            return rewriter.notifyMatchFailure(
+                binder.op, "onnx padding attribute is not symmetric");
           cstPadding.push_back(rewriter.create<Torch::ConstantIntOp>(
-              binder.getLoc(), rewriter.getI64IntegerAttr(i)));
+              binder.getLoc(), rewriter.getI64IntegerAttr(padding[i])));
         }
         for (int64_t i : strides) {
           cstStrides.push_back(rewriter.create<Torch::ConstantIntOp>(