[ET-VK] Minor unroll tuning to improve conv2d pw perf.

Pull Request resolved: #11134

This diff provides a minor unroll tuning to improve the performance of the conv2d pointwise (pw) operation in the Executorch Vulkan backend.
ghstack-source-id: 286439496
@exported-using-ghexport

Differential Revision: [D75420510](https://our.internmc.facebook.com/intern/diff/D75420510/)

Author: trivedivivek

backends/vulkan/runtime/graph/ops/glsl/conv2d_pw.glsl

@@ -38,6 +38,8 @@ layout(push_constant) uniform restrict Block {
 
 layout(local_size_x_id = 0, local_size_y_id = 1, local_size_z_id = 2) in;
 
+#extension GL_EXT_control_flow_attributes : require
+
 /*
  * Computes a 2D pointwise convolution of an NxN output tile. Calculating an
  * output tile for pointwise convolution is more efficient because the kernel
@@ -105,7 +107,7 @@ void main() {
     float kernel_values[4 * 4]; // 4 channels, 4 elements per channel
 
     // Load kernel values from texels to array
-    for (int i = 0; i < 4; ++i) {
+    [[unroll]] for (int i = 0; i < 4; ++i) {
       const vec4 k_tex = texelFetch(t_kernel, ivec2(z + i, gpos.z), 0);
       kernel_values[i * 4 + 0] = k_tex.x;
       kernel_values[i * 4 + 1] = k_tex.y;