#pragma OPENCL EXTENSION cl_khr_fp16 : enable
#ifdef cl_qcom_reqd_sub_group_size
#pragma OPENCL EXTENSION cl_qcom_reqd_sub_group_size : enable
__attribute__((qcom_reqd_sub_group_size("full")))
#endif
kernel void kernel_gemm_noshuffle_q2_0_f32(
global const uchar * src0_qs,
global const half * src0_d,
read_only image1d_buffer_t src1,
global float * dst,
ulong offsetd,
int m,
int n,
int k,
int n_no_padding
) {
dst = (global float *)((global char *)dst + offsetd) const int gy = get_global_id(0) const int row = get_global_id(1) * 4 const int n_4 = n / 4 if (row >= m) {
return }
float8 c0 = 0, c1 = 0, c2 = 0, c3 = 0 for (int i = 0 const float4 scale = convert_float4(vload4(0, src0_d + row + (i / 64) * m))
for (int l = 0 const int ki = i + l const uchar4 q = vload4(0, src0_qs + row + (ki / 4) * m) #pragma unroll
for (int j = 0 float8 b b.s0123 = convert_float4(read_imageh(src1, gy * 2 + (ki + j) * n_4)) b.s4567 = convert_float4(read_imageh(src1, gy * 2 + 1 + (ki + j) * n_4)) const int4 v = convert_int4((q >> (uchar4)(2*j)) & (uchar4)(3)) - (int4)(1) const float4 w = convert_float4(v) * scale c0 += b * w.s0 c1 += b * w.s1 c2 += b * w.s2 c3 += b * w.s3 }
}
}
int idx = gy * 8 * m + row if (idx + 3 < m * n_no_padding) {
vstore4((float4)(c0.s0, c1.s0, c2.s0, c3.s0), 0, dst + idx) idx += m }
if (idx + 3 < m * n_no_padding) {
vstore4((float4)(c0.s1, c1.s1, c2.s1, c3.s1), 0, dst + idx) idx += m }
if (idx + 3 < m * n_no_padding) {
vstore4((float4)(c0.s2, c1.s2, c2.s2, c3.s2), 0, dst + idx) idx += m }
if (idx + 3 < m * n_no_padding) {
vstore4((float4)(c0.s3, c1.s3, c2.s3, c3.s3), 0, dst + idx) idx += m }
if (idx + 3 < m * n_no_padding) {
vstore4((float4)(c0.s4, c1.s4, c2.s4, c3.s4), 0, dst + idx) idx += m }
if (idx + 3 < m * n_no_padding) {
vstore4((float4)(c0.s5, c1.s5, c2.s5, c3.s5), 0, dst + idx) idx += m }
if (idx + 3 < m * n_no_padding) {
vstore4((float4)(c0.s6, c1.s6, c2.s6, c3.s6), 0, dst + idx) idx += m }
if (idx + 3 < m * n_no_padding) {
vstore4((float4)(c0.s7, c1.s7, c2.s7, c3.s7), 0, dst + idx) }
}