[ET-VK] Reducing precision of some in members in conv2d pw to improved performance. (#11192)

This PR was created by the merge bot to help merge the original PR into
the main branch.
ghstack PR number: #11139 by
@trivedivivek
^ Please use this as the source of truth for the PR details, comments,
and reviews
ghstack PR base:
https://github.com/pytorch/executorch/tree/gh/trivedivivek/99/base
ghstack PR head:
https://github.com/pytorch/executorch/tree/gh/trivedivivek/99/head
Merge bot PR base:
https://github.com/pytorch/executorch/tree/gh/trivedivivek/98/orig
Merge bot PR head:
https://github.com/pytorch/executorch/tree/gh/trivedivivek/99/orig
@diff-train-skip-merge

---------

Co-authored-by: Vivek Trivedi <5340687+trivedivivek@users.noreply.github.com>

Author: pytorchbot

backends/vulkan/runtime/graph/ops/glsl/conv2d_pw_s1p0.glsl

@@ -50,12 +50,13 @@ layout(local_size_x_id = 0, local_size_y_id = 1, local_size_z_id = 2) in;
 void main() {
   const int out_limits_scaled[2] = {out_limits.x + (TILE_SIZE_X - 1) * TILE_SIZE_X, out_limits.y + (TILE_SIZE_Y - 1) * TILE_SIZE_Y};
 
-  const int div_by_x = int(gl_GlobalInvocationID.x / out_limits_scaled[0]);
-  const int out_pos[3] = {int(gl_GlobalInvocationID.x % out_limits_scaled[0]), div_by_x, int(gl_GlobalInvocationID.y)};
+  const uint16_t div_by_x = uint16_t(gl_GlobalInvocationID.x / out_limits_scaled[0]);
+  const uint16_t out_pos_xy[2] = {uint16_t(gl_GlobalInvocationID.x % out_limits_scaled[0]), div_by_x};
+  const int out_pos_z = int(gl_GlobalInvocationID.y);
 
   // If the top left position is out of bounds, then this invocation will have
   // no work to do.
-  if (out_pos[1] >= out_limits_scaled[1] || out_pos[2] >= out_limits.z) {
+  if (out_pos_xy[1] >= out_limits_scaled[1] || out_pos_z >= out_limits.z) {
     return;
   }
 
@@ -68,8 +69,8 @@ void main() {
   uint16_t pos[TILE_SIZE_X * TILE_SIZE_Y * 2];
   for (uint16_t y = uint16_t(0), i = uint16_t(0); y < TILE_SIZE_Y; ++y) {
     for (uint16_t x = uint16_t(0); x < TILE_SIZE_X; ++x) {
-      pos[i * 2] = uint16_t(out_pos[0]) * TILE_SIZE_X + x;
-      pos[i * 2 + 1] = uint16_t(out_pos[1]) * TILE_SIZE_Y + y;
+      pos[i * 2] = out_pos_xy[0] * TILE_SIZE_X + x;
+      pos[i * 2 + 1] = out_pos_xy[1] * TILE_SIZE_Y + y;
       i++;
     }
   }
@@ -78,7 +79,7 @@ void main() {
   // Tuple of consecutive 4 elements represents a single output texel.
   float sum[TILE_SIZE_X * TILE_SIZE_Y * 4];
 
-  const vec4 bias = texelFetch(t_bias, ivec2(out_pos[2], 0), 0);
+  const vec4 bias = texelFetch(t_bias, ivec2(out_pos_z, 0), 0);
 
   // Initialize the output array with the bias value
   for (int i = 0; i < TILE_SIZE_X * TILE_SIZE_Y * 4; i += 4) {
@@ -98,7 +99,7 @@ void main() {
 
     // Load kernel values from texels to array
     [[unroll]] for (int i = 0; i < 4; ++i) {
-      const vec4 k_tex = texelFetch(t_kernel, ivec2(z + i, out_pos[2]), 0);
+      const vec4 k_tex = texelFetch(t_kernel, ivec2(z + i, out_pos_z), 0);
       kernel_values[i * 4 + 0] = k_tex.x;
       kernel_values[i * 4 + 1] = k_tex.y;
       kernel_values[i * 4 + 2] = k_tex.z;
@@ -157,8 +158,8 @@ void main() {
   }
 
   for (int i = 0; i < TILE_SIZE_X * TILE_SIZE_Y; ++i) {
-    const ivec3 pos_l = ivec3(pos[i * 2], pos[i * 2 + 1], out_pos[2]);
-    if (all(lessThan(pos_l, out_limits.xyz))) {
+    const ivec3 pos_l = ivec3(pos[i * 2], pos[i * 2 + 1], out_pos_z);
+    if (all(lessThan(pos_l.xy, out_limits.xy))) {
       imageStore(t_out, pos_l, op(vec4(sum[i * 4], sum[i * 4 + 1], sum[i * 4 + 2], sum[i * 4 + 3]), out_min, out_max));
     }
   }