diff --git a/src/core/CL/cl_kernels/direct_convolution.cl b/src/core/CL/cl_kernels/direct_convolution.cl
index 220179e..a9a997f 100644
--- a/src/core/CL/cl_kernels/direct_convolution.cl
+++ b/src/core/CL/cl_kernels/direct_convolution.cl
@@ -150,7 +150,12 @@
     }
 
     // Initialize the accumulators
-    TILE(ACC_DATA_TYPE, M0, N0, c) = { { { 0 } } };
+    TILE(ACC_DATA_TYPE, M0, N0, c);
+
+    LOOP_UNROLLING(int, i, 0, M0, 1)
+    {
+        c[i].v = 0;
+    }
 
     for(int i = 0; i < (_IWEI_WIDTH * _IWEI_HEIGHT); ++i)
     {
diff --git a/src/core/CL/cl_kernels/winograd_input_transform.cl b/src/core/CL/cl_kernels/winograd_input_transform.cl
index 60750f0..932e164 100644
--- a/src/core/CL/cl_kernels/winograd_input_transform.cl
+++ b/src/core/CL/cl_kernels/winograd_input_transform.cl
@@ -944,7 +944,7 @@
  * @param[in] dst_step_w                        dst_stride_w * number of elements along W processed per workitem(in bytes)
  * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor
  */
- //! @endcond
+//! @endcond
 __kernel void winograd_input_transform_4x4_3x3_stepz1_nhwc(
     TENSOR4D(src, BUFFER),
     TENSOR4D(dst, BUFFER))
@@ -967,10 +967,14 @@
 
 #if defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) || defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)
 
-    TILE(DATA_TYPE, 6, 1, in)          = { { { 0 } } };
-    TILE(DATA_TYPE, 6, 1, out)         = { { { 0 } } };
-    TILE(int, 6, 1, src_indirect_y)    = { { { 0 } } };
-    TILE(int, 6, 1, src_indirect_mask) = { { { 0 } } };
+    TILE(DATA_TYPE, 6, 1, in);
+    TILE(DATA_TYPE, 6, 1, out);
+
+    // Initialize the input tile
+    LOOP_UNROLLING(int, i, 0, 6, 1)
+    {
+        in[i].v = 0;
+    }
 
 #if defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL)
     T_LOAD_NHWC(DATA_TYPE, 1, 6, 1, BUFFER, src, bout, y, x, cout, _ISRC_WIDTH, _ISRC_HEIGHT, src_stride_y, in);
@@ -978,7 +982,7 @@
     T_LOAD_NHWC(DATA_TYPE, 6, 1, 1, BUFFER, src, bout, y, x, cout, _ISRC_WIDTH, _ISRC_HEIGHT, src_stride_y, in);
 #endif // defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL)
 
-    TILE(DATA_TYPE, 6, 1, com) = { { { 0 } } };
+    TILE(DATA_TYPE, 6, 1, com);
 
     LOOP_UNROLLING(int, i, 0, 6, 1)
     {
@@ -1000,7 +1004,7 @@
     out[4].v = com[5].v - com[4].v;
     out[5].v = com[3].v - com[1].v;
 
-    TILE(uint, 6, 1, dst_indirect_y) = { { { 0 } } };
+    TILE(uint, 6, 1, dst_indirect_y);
 
     LOOP_UNROLLING(int, i, 0, 6, 1)
     {
@@ -1012,13 +1016,19 @@
 
 #else  // defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) || defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)
 
-    TILE(DATA_TYPE, 36, 1, in) = { { { 0 } } };
+    TILE(DATA_TYPE, 36, 1, in);
+
+    // Initialize the input tile
+    LOOP_UNROLLING(int, i, 0, 36, 1)
+    {
+        in[i].v = 0;
+    }
 
     // Load the tile from a NHWC tensor
     T_LOAD_NHWC(DATA_TYPE, 6, 6, 1, BUFFER, src, bout, y, x, cout, _ISRC_WIDTH, _ISRC_HEIGHT, src_stride_y, in);
 
-    TILE(DATA_TYPE, 6, 1, com)  = { { { 0 } } };
-    TILE(DATA_TYPE, 36, 1, tmp) = { { { 0 } } };
+    TILE(DATA_TYPE, 6, 1, com);
+    TILE(DATA_TYPE, 36, 1, tmp);
 
     LOOP_UNROLLING(int, i, 0, 6, 1)
     {
@@ -1037,7 +1047,7 @@
         tmp[i + 5 * 6].v = com[3].v - com[1].v;
     }
 
-    TILE(DATA_TYPE, 36, 1, out) = { { { 0 } } };
+    TILE(DATA_TYPE, 36, 1, out);
 
     LOOP_UNROLLING(int, i, 0, 6, 1)
     {
@@ -1057,7 +1067,7 @@
     }
 
     // Compute destination address
-    TILE(uint, 36, 1, dst_indirect_y) = { { { 0 } } };
+    TILE(uint, 36, 1, dst_indirect_y);
 
     LOOP_UNROLLING(int, i, 0, 36, 1)
     {
@@ -1104,7 +1114,7 @@
  * @param[in] dst_step_w                        dst_stride_w * number of elements along W processed per workitem(in bytes)
  * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor
  */
- //! @endcond
+//! @endcond
 __kernel void winograd_input_transform_4x4_5x5_stepz1_nhwc(
     TENSOR4D(src, BUFFER),
     TENSOR4D(dst, BUFFER))
@@ -1127,10 +1137,14 @@
 
 #if defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) || defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)
 
-    TILE(DATA_TYPE, 8, 1, in)          = { { { 0 } } };
-    TILE(DATA_TYPE, 8, 1, out)         = { { { 0 } } };
-    TILE(int, 8, 1, src_indirect_y)    = { { { 0 } } };
-    TILE(int, 8, 1, src_indirect_mask) = { { { 0 } } };
+    TILE(DATA_TYPE, 8, 1, in);
+    TILE(DATA_TYPE, 8, 1, out);
+
+    // Initialize the input tile
+    LOOP_UNROLLING(int, i, 0, 8, 1)
+    {
+        in[i].v = 0;
+    }
 
 #if defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL)
     T_LOAD_NHWC(DATA_TYPE, 1, 8, 1, BUFFER, src, bout, y, x, cout, _ISRC_WIDTH, _ISRC_HEIGHT, src_stride_y, in);
@@ -1138,7 +1152,7 @@
     T_LOAD_NHWC(DATA_TYPE, 8, 1, 1, BUFFER, src, bout, y, x, cout, _ISRC_WIDTH, _ISRC_HEIGHT, src_stride_y, in);
 #endif // defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL)
 
-    TILE(DATA_TYPE, 1, 8, com) = { { { 0 } } };
+    TILE(DATA_TYPE, 1, 8, com);
 
     com[0].s[0] = in[2].v - 4.25f * in[4].v + in[6].v;
     com[0].s[1] = in[1].v - 4.25f * in[3].v + in[5].v;
@@ -1155,7 +1169,7 @@
     out[6].s[0] = com[0].s[4] - com[0].s[5];
     out[7].s[0] = -in[1].v + 5.25f * in[3].v - 5.25f * in[5].v + in[7].v;
 
-    TILE(uint, 8, 1, dst_indirect_y) = { { { 0 } } };
+    TILE(uint, 8, 1, dst_indirect_y);
 
     LOOP_UNROLLING(int, i, 0, 8, 1)
     {
@@ -1167,13 +1181,19 @@
 
 #else // defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) || defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)
 
-    TILE(DATA_TYPE, 64, 1, in)  = { { { 0 } } };
-    TILE(DATA_TYPE, 64, 1, out) = { { { 0 } } };
+    TILE(DATA_TYPE, 64, 1, in);
+    TILE(DATA_TYPE, 64, 1, out);
+
+    // Initialize the input tile
+    LOOP_UNROLLING(int, i, 0, 64, 1)
+    {
+        in[i].v = 0;
+    }
 
     // Load the tile from a NHWC tensor
     T_LOAD_NHWC(DATA_TYPE, 8, 8, 1, BUFFER, src, bout, y, x, cout, _ISRC_WIDTH, _ISRC_HEIGHT, src_stride_y, in);
 
-    TILE(DATA_TYPE, 8, 8, com) = { { { 0 } } };
+    TILE(DATA_TYPE, 8, 8, com);
 
     LOOP_UNROLLING(int, i, 0, 8, 1)
     {
@@ -1187,7 +1207,7 @@
         com[7].s[i] = -in[1 * 8 + i].s[0] + (DATA_TYPE)5.25f * in[3 * 8 + i].s[0] - (DATA_TYPE)5.25f * in[5 * 8 + i].s[0] + in[7 * 8 + i].s[0];
     }
 
-    TILE(DATA_TYPE, 8, 8, tmp) = { { { 0 } } };
+    TILE(DATA_TYPE, 8, 8, tmp);
     tmp[0].v = com[6].v;
     tmp[1].v = com[0].v + com[1].v;
     tmp[2].v = com[0].v - com[1].v;
@@ -1215,7 +1235,7 @@
         out[i * 8 + 7].s[0] = -tmp[i].s[1] + 5.25f * tmp[i].s[3] - 5.25f * tmp[i].s[5] + tmp[i].s[7];
     }
 
-    TILE(uint, 64, 1, dst_indirect_y) = { { { 0 } } };
+    TILE(uint, 64, 1, dst_indirect_y);
 
     LOOP_UNROLLING(int, i, 0, 64, 1)
     {
@@ -1263,7 +1283,7 @@
  * @param[in] dst_step_w                        dst_stride_w * number of elements along W processed per workitem(in bytes)
  * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor
  */
- //! @endcond
+//! @endcond
 __kernel void winograd_input_transform_2x2_7x7_stepz1_nhwc(
     TENSOR4D(src, BUFFER),
     TENSOR4D(dst, BUFFER))
@@ -1286,10 +1306,14 @@
 
 #if defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) || defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)
 
-    TILE(DATA_TYPE, 8, 1, in)          = { { { 0 } } };
-    TILE(DATA_TYPE, 8, 1, out)         = { { { 0 } } };
-    TILE(int, 8, 1, src_indirect_y)    = { { { 0 } } };
-    TILE(int, 8, 1, src_indirect_mask) = { { { 0 } } };
+    TILE(DATA_TYPE, 8, 1, in);
+    TILE(DATA_TYPE, 8, 1, out);
+
+    // Initialize the input tile
+    LOOP_UNROLLING(int, i, 0, 8, 1)
+    {
+        in[i].v = 0;
+    }
 
 #if defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL)
     T_LOAD_NHWC(DATA_TYPE, 1, 8, 1, BUFFER, src, bout, y, x, cout, _ISRC_WIDTH, _ISRC_HEIGHT, src_stride_y, in);
@@ -1319,7 +1343,7 @@
     out[6].s[0] = com[0].s[4] + com[0].s[5];
     out[7].s[0] = -36.0f * in[1].v + 0.0f * in[2].v + 49.0f * in[3].v - 14.0f * in[5].v + in[7].v;
 
-    TILE(uint, 8, 1, dst_indirect_y) = { { { 0 } } };
+    TILE(uint, 8, 1, dst_indirect_y);
 
     LOOP_UNROLLING(int, i, 0, 8, 1)
     {
@@ -1331,13 +1355,19 @@
 
 #else // defined(WINOGRAD_INPUT_TRANSFORM_HORIZONTAL) || defined(WINOGRAD_INPUT_TRANSFORM_VERTICAL)
 
-    TILE(DATA_TYPE, 64, 1, in)  = { { { 0 } } };
-    TILE(DATA_TYPE, 64, 1, out) = { { { 0 } } };
+    TILE(DATA_TYPE, 64, 1, in);
+    TILE(DATA_TYPE, 64, 1, out);
+
+    // Initialize the input tile
+    LOOP_UNROLLING(int, i, 0, 64, 1)
+    {
+        in[i].v = 0;
+    }
 
     // Load the tile from a NHWC tensor
     T_LOAD_NHWC(DATA_TYPE, 8, 8, 1, BUFFER, src, bout, y, x, cout, _ISRC_WIDTH, _ISRC_HEIGHT, src_stride_y, in);
 
-    TILE(DATA_TYPE, 8, 8, com) = { { { 0 } } };
+    TILE(DATA_TYPE, 8, 8, com);
 
     LOOP_UNROLLING(int, i, 0, 8, 1)
     {
@@ -1351,7 +1381,7 @@
         com[7].s[i] = (DATA_TYPE)49.0f * in[3 * 8 + i].s[0] - (DATA_TYPE)36.0f * in[1 * 8 + i].s[0] + in[7 * 8 + i].s[0] - (DATA_TYPE)14.0f * in[5 * 8 + i].s[0];
     }
 
-    TILE(DATA_TYPE, 8, 8, tmp) = { { { 0 } } };
+    TILE(DATA_TYPE, 8, 8, tmp);
     tmp[0].v = com[6].v;
     tmp[1].v = com[0].v - com[1].v;
     tmp[2].v = com[0].v + com[1].v;
@@ -1379,7 +1409,7 @@
         out[i * 8 + 7].s[0] = -36.0f * tmp[i].s[1] + 0.0f * tmp[i].s[2] + 49.0f * tmp[i].s[3] - 14.0f * tmp[i].s[5] + tmp[i].s[7];
     }
 
-    TILE(uint, 64, 1, dst_indirect_y) = { { { 0 } } };
+    TILE(uint, 64, 1, dst_indirect_y);
 
     LOOP_UNROLLING(int, i, 0, 64, 1)
     {
@@ -1427,7 +1457,7 @@
  * @param[in] dst_step_w                        dst_stride_w * number of elements along W processed per workitem(in bytes)
  * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor
  */
- //! @endcond
+//! @endcond
 __kernel void winograd_input_transform_4x1_3x1_stepz1_nhwc(
     TENSOR4D(src, BUFFER),
     TENSOR4D(dst, BUFFER))
@@ -1489,7 +1519,7 @@
  * @param[in] dst_step_w                        dst_stride_w * number of elements along W processed per workitem(in bytes)
  * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor
  */
- //! @endcond
+//! @endcond
 __kernel void winograd_input_transform_4x1_5x1_stepz1_nhwc(
     TENSOR4D(src, BUFFER),
     TENSOR4D(dst, BUFFER))
@@ -1551,7 +1581,7 @@
  * @param[in] dst_step_w                        dst_stride_w * number of elements along W processed per workitem(in bytes)
  * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor
  */
- //! @endcond
+//! @endcond
 __kernel void winograd_input_transform_2x1_7x1_stepz1_nhwc(
     TENSOR4D(src, BUFFER),
     TENSOR4D(dst, BUFFER))
@@ -1613,7 +1643,7 @@
  * @param[in] dst_step_w                        dst_stride_w * number of elements along W processed per workitem(in bytes)
  * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor
  */
- //! @endcond
+//! @endcond
 __kernel void winograd_input_transform_1x4_1x3_stepz1_nhwc(
     TENSOR4D(src, BUFFER),
     TENSOR4D(dst, BUFFER))
@@ -1675,7 +1705,7 @@
  * @param[in] dst_step_w                        dst_stride_w * number of elements along W processed per workitem(in bytes)
  * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor
  */
- //! @endcond
+//! @endcond
 __kernel void winograd_input_transform_1x4_1x5_stepz1_nhwc(
     TENSOR4D(src, BUFFER),
     TENSOR4D(dst, BUFFER))
@@ -1737,7 +1767,7 @@
  * @param[in] dst_step_w                        dst_stride_w * number of elements along W processed per workitem(in bytes)
  * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor
  */
- //! @endcond
+//! @endcond
 __kernel void winograd_input_transform_1x2_1x7_stepz1_nhwc(
     TENSOR4D(src, BUFFER),
     TENSOR4D(dst, BUFFER))
diff --git a/src/core/CL/cl_kernels/winograd_output_transform.cl b/src/core/CL/cl_kernels/winograd_output_transform.cl
index f257825..837e434 100644
--- a/src/core/CL/cl_kernels/winograd_output_transform.cl
+++ b/src/core/CL/cl_kernels/winograd_output_transform.cl
@@ -243,6 +243,12 @@
         src_indirect_y[i].v += bout * (int)(_ISRC_HEIGHT * 8);
     }
 
+    // Initialize the input tile
+    LOOP_UNROLLING(int, i, 0, 8, 1)
+    {
+        in[i].v = 0;
+    }
+
     // Load the values across the 8 channels to compose the 8x1 tile
     T_LOAD_INDIRECT(DATA_TYPE, 8, N0, BUFFER, src, cout, src_stride_y, src_indirect_y, in);
 
@@ -294,6 +300,12 @@
         src_indirect_y[i].v += bout * (int)(_ISRC_HEIGHT * 64);
     }
 
+    // Initialize the input tile
+    LOOP_UNROLLING(int, i, 0, 64, 1)
+    {
+        in[i].v = 0;
+    }
+
     // Load the values across the 64 channels to compose the 8x8 tile
     T_LOAD_INDIRECT(DATA_TYPE, 64, N0, BUFFER, src, cout, src_stride_y, src_indirect_y, in);
 
@@ -615,9 +627,9 @@
 
 #if defined(WINOGRAD_OUTPUT_TRANSFORM_HORIZONTAL) || defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL)
 
-    TILE(DATA_TYPE, 6, N0, in)       = { { { 0 } } };
-    TILE(DATA_TYPE, 4, N0, out)      = { { { 0 } } };
-    TILE(uint, 6, 1, src_indirect_y) = { { { 0 } } };
+    TILE(DATA_TYPE, 6, N0, in);
+    TILE(DATA_TYPE, 4, N0, out);
+    TILE(uint, 6, 1, src_indirect_y);
 
     LOOP_UNROLLING(int, i, 0, 6, 1)
     {
@@ -625,6 +637,12 @@
         src_indirect_y[i].v += bout * (int)(SRC_HEIGHT * 6);
     }
 
+    // Initialize the input tile
+    LOOP_UNROLLING(int, i, 0, 6, 1)
+    {
+        in[i].v = 0;
+    }
+
     // Load the values across the 36 channels to compose the 6x6 or 6x1 tile
     T_LOAD_INDIRECT(DATA_TYPE, 6, N0, BUFFER, src, cout, src_stride_y, src_indirect_y, in);
 
@@ -648,7 +666,7 @@
 
     T_ACTIVATION(DATA_TYPE, 4, N0, ACTIVATION_TYPE, A_VAL, B_VAL, out, out);
 
-    TILE(uint, 4, 1, dst_indirect_y) = { { { 0 } } };
+    TILE(uint, 4, 1, dst_indirect_y);
 
     // Calculate the destination indirect Y
 #if defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL)
@@ -673,9 +691,9 @@
 #else // defined(WINOGRAD_OUTPUT_TRANSFORM_HORIZONTAL) || defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL)
 
     // Calculate the indirect Y for the source tensor
-    TILE(DATA_TYPE, 36, N0, in)       = { { { 0 } } };
-    TILE(DATA_TYPE, 4, N0, tmp)       = { { { 0 } } };
-    TILE(uint, 36, 1, src_indirect_y) = { { { 0 } } };
+    TILE(DATA_TYPE, 36, N0, in);
+    TILE(DATA_TYPE, 4, N0, tmp);
+    TILE(uint, 36, 1, src_indirect_y);
 
     LOOP_UNROLLING(int, i, 0, 36, 1)
     {
@@ -683,6 +701,12 @@
         src_indirect_y[i].v += bout * (int)(SRC_HEIGHT * 36);
     }
 
+    // Initialize the input tile
+    LOOP_UNROLLING(int, i, 0, 36, 1)
+    {
+        in[i].v = 0;
+    }
+
     // Load the values across the 36 channels to compose the 6x6 or 6x1 tile
     T_LOAD_INDIRECT(DATA_TYPE, 36, N0, BUFFER, src, cout, src_stride_y, src_indirect_y, in);
 
@@ -700,7 +724,7 @@
     }
 
     // Compute the output tile
-    TILE(DATA_TYPE, 16, N0, out) = { { { 0 } } };
+    TILE(DATA_TYPE, 16, N0, out);
 
     LOOP_UNROLLING(int, i, 0, 4, 1)
     {
@@ -729,7 +753,7 @@
 
     T_ACTIVATION(DATA_TYPE, 16, N0, ACTIVATION_TYPE, A_VAL, B_VAL, out, out);
 
-    TILE(uint, 16, 1, dst_indirect_y) = { { { 0 } } };
+    TILE(uint, 16, 1, dst_indirect_y);
 
     // Calculate the destination indirect Y
     LOOP_UNROLLING(int, yk, 0, 4, 1)
@@ -1043,10 +1067,10 @@
     const int bout = GET_SPATIAL_IDX(2, 1, 0);  // BATCH SIZE IDX
 
 #if defined(WINOGRAD_OUTPUT_TRANSFORM_HORIZONTAL) || defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL)
-    TILE(DATA_TYPE, 8, N0, in)       = { { { 0 } } };
-    TILE(DATA_TYPE, 4, N0, out)      = { { { 0 } } };
-    TILE(DATA_TYPE, 4, N0, tmp)      = { { { 0 } } };
-    TILE(uint, 8, 1, src_indirect_y) = { { { 0 } } };
+    TILE(DATA_TYPE, 8, N0, in);
+    TILE(DATA_TYPE, 4, N0, out);
+    TILE(DATA_TYPE, 4, N0, tmp);
+    TILE(uint, 8, 1, src_indirect_y);
 
     LOOP_UNROLLING(int, i, 0, 8, 1)
     {
@@ -1054,6 +1078,12 @@
         src_indirect_y[i].v += bout * (int)(SRC_HEIGHT * 8);
     }
 
+    // Initialize the input tile
+    LOOP_UNROLLING(int, i, 0, 8, 1)
+    {
+        in[i].v = 0;
+    }
+
     // "in" contains 1x8 or 8x1 tile here
     T_LOAD_INDIRECT(DATA_TYPE, 8, N0, BUFFER, src, cout, src_stride_y, src_indirect_y, in);
 
@@ -1081,7 +1111,7 @@
 
     T_ACTIVATION(DATA_TYPE, 4, N0, ACTIVATION_TYPE, A_VAL, B_VAL, out, out);
 
-    TILE(uint, 4, 1, dst_indirect_y) = { { { 0 } } };
+    TILE(uint, 4, 1, dst_indirect_y);
 
     // Calculate the destination indirect Y
 #if defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL)
@@ -1105,9 +1135,9 @@
 
 #else // defined(WINOGRAD_OUTPUT_TRANSFORM_HORIZONTAL) || defined(WINOGRAD_OUTPUT_TRANSFORM_VERTICAL)
     // Calculate the indirect Y for the source tensor
-    TILE(DATA_TYPE, 64, N0, in)       = { { { 0 } } };
-    TILE(DATA_TYPE, 6, N0, tmp)       = { { { 0 } } };
-    TILE(uint, 64, 1, src_indirect_y) = { { { 0 } } };
+    TILE(DATA_TYPE, 64, N0, in);
+    TILE(DATA_TYPE, 6, N0, tmp);
+    TILE(uint, 64, 1, src_indirect_y);
 
     LOOP_UNROLLING(int, i, 0, 64, 1)
     {
@@ -1115,6 +1145,12 @@
         src_indirect_y[i].v += bout * (int)(SRC_HEIGHT * 64);
     }
 
+    // Initialize the input tile
+    LOOP_UNROLLING(int, i, 0, 64, 1)
+    {
+        in[i].v = 0;
+    }
+
     // "in" here is 8x8 tile
     T_LOAD_INDIRECT(DATA_TYPE, 64, N0, BUFFER, src, cout, src_stride_y, src_indirect_y, in);
 
@@ -1138,7 +1174,7 @@
     }
 
     // Compute the output tile
-    TILE(DATA_TYPE, 16, N0, out) = { { { 0 } } };
+    TILE(DATA_TYPE, 16, N0, out);
 
     // in * A, with in = A^T * in as above
     LOOP_UNROLLING(int, i, 0, 4, 1)
@@ -1173,7 +1209,7 @@
 
     T_ACTIVATION(DATA_TYPE, 16, N0, ACTIVATION_TYPE, A_VAL, B_VAL, out, out);
 
-    TILE(uint, 16, 1, dst_indirect_y) = { { { 0 } } };
+    TILE(uint, 16, 1, dst_indirect_y);
 
     // Calculate the destination indirect Y
     LOOP_UNROLLING(int, yk, 0, 4, 1)