} else {
      dim->set_padding_low(0);
      dim->set_padding_high(0);
    }
    if (!lhs_dilation.empty()) {
      dim->set_base_dilation(lhs_dilation[i]);
    } else {
      dim->set_base_dilation(1);
    }
    if (!rhs_dilation.empty()) {
      dim->set_window_dilation(rhs_dilation[i]);
    } else {
      dim->set_window_dilation(1);
    }
    dim->set_window_reversal(false);
  }

    // Compute ConvDimensionNumbers, dilation, and padding.
    SmallVector<int64_t, num_spatial_dims> spatial_dims;
    SmallVector<int64_t, num_spatial_dims> lhs_dilation;
    SmallVector<int64_t, num_spatial_dims> rhs_dilation;
    SmallVector<int64_t, num_spatial_dims * 2> paddings;

    for (int i : llvm::seq<int>(0, num_spatial_dims)) {
      const int64_t spatial_dim =

    StrAttr:$padding,
    DefaultValuedOptionalAttr<I64ArrayAttr, "{}">:$explicit_padding,
    DefaultValuedOptionalAttr<I64ArrayAttr, "{}">:$lhs_dilation,
    DefaultValuedOptionalAttr<I64ArrayAttr, "{}">:$rhs_dilation,
    DefaultValuedOptionalAttr<I64Attr, "1">:$batch_group_count,
    DefaultValuedOptionalAttr<I64Attr, "1">:$feature_group_count,

            mlir::cast<mlir::vhlo::TensorV1Attr>(vhlo_op.getPadding()),
            vhlo_type_converter));
        auto lhs_dialation = builder_.CreateVector(mlir::GetVector<int64_t>(
            mlir::cast<mlir::vhlo::TensorV1Attr>(vhlo_op.getLhsDilation()),
            vhlo_type_converter));
        auto rhs_dialation = builder_.CreateVector(mlir::GetVector<int64_t>(
            mlir::cast<mlir::vhlo::TensorV1Attr>(vhlo_op.getRhsDilation()),