summaryrefslogtreecommitdiff
path: root/llama.cpp/ggml/src/ggml-opencl/kernels/mul_mat_Ab_Bi_8x4.cl
diff options
context:
space:
mode:
authorMitja Felicijan <mitja.felicijan@gmail.com>2026-02-12 20:57:17 +0100
committerMitja Felicijan <mitja.felicijan@gmail.com>2026-02-12 20:57:17 +0100
commitb333b06772c89d96aacb5490d6a219fba7c09cc6 (patch)
tree211df60083a5946baa2ed61d33d8121b7e251b06 /llama.cpp/ggml/src/ggml-opencl/kernels/mul_mat_Ab_Bi_8x4.cl
downloadllmnpc-b333b06772c89d96aacb5490d6a219fba7c09cc6.tar.gz
Engage!
Diffstat (limited to 'llama.cpp/ggml/src/ggml-opencl/kernels/mul_mat_Ab_Bi_8x4.cl')
-rw-r--r--llama.cpp/ggml/src/ggml-opencl/kernels/mul_mat_Ab_Bi_8x4.cl139
1 files changed, 139 insertions, 0 deletions
diff --git a/llama.cpp/ggml/src/ggml-opencl/kernels/mul_mat_Ab_Bi_8x4.cl b/llama.cpp/ggml/src/ggml-opencl/kernels/mul_mat_Ab_Bi_8x4.cl
new file mode 100644
index 0000000..ecb577b
--- /dev/null
+++ b/llama.cpp/ggml/src/ggml-opencl/kernels/mul_mat_Ab_Bi_8x4.cl
@@ -0,0 +1,139 @@
+// src0_q, src0_d, src1 are transposed as a preprocessing step
+// 4-bit weights are transposed in groups of 4 (unsigned short int)
+// consider weights originally "next to each other", now "on top of each other"
+// each fiber computes a 8x4 tile of output elements
+// using unshuffled weights
+
+#pragma OPENCL EXTENSION cl_khr_fp16 : enable
+#pragma OPENCL EXTENSION cl_qcom_reqd_sub_group_size : enable
+
+#ifdef cl_qcom_reqd_sub_group_size
+#pragma OPENCL EXTENSION cl_qcom_reqd_sub_group_size : enable
+#define ADRENO_GPU 1
+#define REQD_SUBGROUP_SIZE_128 __attribute__((qcom_reqd_sub_group_size("full")))
+#endif
+
+#ifdef ADRENO_GPU
+REQD_SUBGROUP_SIZE_128
+#endif
+
+kernel void kernel_mul_mat_Ab_Bi_8x4(
+ global const ushort * src0_q, // quantized A
+ global const half * src0_d, // A scales
+ __read_only image1d_buffer_t src1, // B (1d image)
+ global float * dst, // C
+ int m, // M
+ int n, // N with padding
+ int k, // K
+ int n_no_padding // N without padding
+) {
+
+ int m_4 = m >> 2;
+ int n_4 = n >> 2;
+
+ int gy = get_global_id(0);
+ int gx = get_global_id(1);
+ int gx_2 = gx << 2;
+
+ half8 c0 = 0, c1 = 0, c2 = 0, c3 = 0; // 8x4 output elements
+ half8 B; // registers for activations
+ half4 dequantized_weights; // registers for dequantized weights
+ __global const ushort* weight_ptr = src0_q + gx_2; // pointer for weights
+ __global const half* scale_ptr = src0_d + gx_2; // pointer for scales
+
+ for(int i=0; i<k; i+=4){ //loop through K dimension
+
+ B.s0123 = read_imageh(src1, gy*2 + (i)*(n_4));
+ B.s4567 = read_imageh(src1, gy*2 + (i)*(n_4)+1);
+
+ // keep (i/4) and (i/32) in parenthesis, rounds down
+ // load 4 consecutive groups of 4 weights
+ ushort4 bits4 = vload4(0, weight_ptr + (i/4)*(m)); // (i/4) because weights grouped in 4s
+
+ // load 4 consecutive scales
+ half4 scale = vload4(0, scale_ptr + (i/32)*(m));// (i/32) because 1 scale per 32 elements
+
+ // j=0
+ dequantized_weights.s0 = ((bits4.s0 & (0x000F)) - 8) * scale.s0; // dequantize a row of the 16 weights
+ dequantized_weights.s1 = ((bits4.s1 & (0x000F)) - 8) * scale.s1;
+ dequantized_weights.s2 = ((bits4.s2 & (0x000F)) - 8) * scale.s2;
+ dequantized_weights.s3 = ((bits4.s3 & (0x000F)) - 8) * scale.s3;
+ c0 += B * dequantized_weights.s0; // vector-scalar multiplication to accumulate
+ c1 += B * dequantized_weights.s1;
+ c2 += B * dequantized_weights.s2;
+ c3 += B * dequantized_weights.s3;
+
+ // j=1
+ B.s0123 = read_imageh(src1, gy*2 + (i+1)*(n_4));
+ B.s4567 = read_imageh(src1, gy*2 + (i+1)*(n_4)+1);
+ dequantized_weights.s0 = (((bits4.s0 & (0x00F0)) >> 4) - 8) * scale.s0; // dequantize a row of the 16 weights
+ dequantized_weights.s1 = (((bits4.s1 & (0x00F0)) >> 4) - 8) * scale.s1;
+ dequantized_weights.s2 = (((bits4.s2 & (0x00F0)) >> 4) - 8) * scale.s2;
+ dequantized_weights.s3 = (((bits4.s3 & (0x00F0)) >> 4) - 8) * scale.s3;
+ c0 += B * dequantized_weights.s0; //vector-scalar multiplication to accumulate
+ c1 += B * dequantized_weights.s1;
+ c2 += B * dequantized_weights.s2;
+ c3 += B * dequantized_weights.s3;
+
+ // j=2
+ B.s0123 = read_imageh(src1, gy*2 + (i+2)*(n_4));
+ B.s4567 = read_imageh(src1, gy*2 + (i+2)*(n_4)+1);
+ dequantized_weights.s0 = (((bits4.s0 & (0x0F00)) >> 8) - 8) * scale.s0; // dequantize a row of the 16 weights
+ dequantized_weights.s1 = (((bits4.s1 & (0x0F00)) >> 8) - 8) * scale.s1;
+ dequantized_weights.s2 = (((bits4.s2 & (0x0F00)) >> 8) - 8) * scale.s2;
+ dequantized_weights.s3 = (((bits4.s3 & (0x0F00)) >> 8) - 8) * scale.s3;
+ c0 += B * dequantized_weights.s0; // vector-scalar multiplication to accumulate
+ c1 += B * dequantized_weights.s1;
+ c2 += B * dequantized_weights.s2;
+ c3 += B * dequantized_weights.s3;
+
+ // j=3
+ B.s0123 = read_imageh(src1, gy*2 + (i+3)*(n_4));
+ B.s4567 = read_imageh(src1, gy*2 + (i+3)*(n_4)+1);
+ dequantized_weights.s0 = (((bits4.s0 & (0xF000)) >> 12) - 8) * scale.s0; // dequantize a row of the 16 weights
+ dequantized_weights.s1 = (((bits4.s1 & (0xF000)) >> 12) - 8) * scale.s1;
+ dequantized_weights.s2 = (((bits4.s2 & (0xF000)) >> 12) - 8) * scale.s2;
+ dequantized_weights.s3 = (((bits4.s3 & (0xF000)) >> 12) - 8) * scale.s3;
+ c0 += B * dequantized_weights.s0; // vector-scalar multiplication to accumulate
+ c1 += B * dequantized_weights.s1;
+ c2 += B * dequantized_weights.s2;
+ c3 += B * dequantized_weights.s3;
+ }
+
+ int idx = (gy<<3)*m + (gx<<2); // vectorized store 16 elements
+
+ // conditional check if store is to a valid location. Required when N is not a multiple of 8
+ // if statements allow registers to be reused for each store
+ // provides a performance boost due to reduced register footprint, which increases number of concurrent waves
+ 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);
+ }
+}