diff --git a/backends/cadence/reference/operators/quantized_conv_out.cpp b/backends/cadence/reference/operators/quantized_conv_out.cpp
index 95236b4397b..1a9e5fcd85f 100644
--- a/backends/cadence/reference/operators/quantized_conv_out.cpp
+++ b/backends/cadence/reference/operators/quantized_conv_out.cpp
@@ -18,6 +18,7 @@ namespace native {
 
 using Tensor = exec_aten::Tensor;
 using RuntimeContext = torch::executor::RuntimeContext;
+using ScalarType = exec_aten::ScalarType;
 
 // This implements a generic 2d conv kernel that operates on raw pointers.
 // The version handles both quantized and fp32 convolutions.
@@ -108,7 +109,8 @@ __attribute__((noinline)) void conv2d_nchw_core_generic(
                     int woff = _wh * ww + _ww;
                     float lhs = in_plane[ioff] - in_zero_point;
                     float rhs = weight_plane[woff] -
-                        (quantized ? weight_zero_point[0] : 0);
+                        (quantized ? 0 : 0);
+                        /*(quantized ? weight_zero_point[0] : 0);*/
                     acc += lhs * rhs;
                   }
                 }
@@ -122,13 +124,14 @@ __attribute__((noinline)) void conv2d_nchw_core_generic(
                     if (((_h + d0 * _wh - p0) >= 0) &&
                         ((_h + d0 * _wh - p0) < h) &&
                         ((_w + d1 * _ww - p1) >= 0) &&
-                        ((_w + d1 * _ww - p1 < w))) {
+                        ((_w + d1 * _ww - p1) < w)) {
                       int ioff =
                           (_h + d0 * _wh - p0) * w + (_w + d1 * _ww - p1);
                       int woff = _wh * ww + _ww;
                       float lhs = in_plane[ioff] - in_zero_point;
                       float rhs = weight_plane[woff] -
-                          (quantized ? weight_zero_point[0] : 0);
+                          (quantized ? 0 : 0);
+                          /*(quantized ? weight_zero_point[0] : 0);*/
                       acc += lhs * rhs;
                     }
                   }