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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-vulkan/vulkan-shaders/mul_mat_vec_q6_k.comp
downloadllmnpc-b333b06772c89d96aacb5490d6a219fba7c09cc6.tar.gz
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Diffstat (limited to 'llama.cpp/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec_q6_k.comp')
-rw-r--r--llama.cpp/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec_q6_k.comp130
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diff --git a/llama.cpp/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec_q6_k.comp b/llama.cpp/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec_q6_k.comp
new file mode 100644
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+++ b/llama.cpp/ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec_q6_k.comp
@@ -0,0 +1,130 @@
+#version 450
+
+#extension GL_EXT_shader_explicit_arithmetic_types_int32 : require
+
+#include "mul_mat_vec_base.glsl"
+
+layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in;
+
+shared FLOAT_TYPE sccache[2][BLOCK_SIZE/16][16];
+
+FLOAT_TYPE temp[NUM_COLS][NUM_ROWS];
+uint csel = 0;
+
+void calc_superblock(const uint a_offset, const uint b_offset, const uint itid, const uint ix, const uint ql_offset, const uint qh_offset, const uint s_offset, const uint y_offset, const uint i, const uint num_blocks_per_row, const uint first_row, const uint num_rows, const bool all_threads) {
+ const uint y_idx = i * QUANT_K + y_offset;
+
+ [[unroll]] for (uint n = 0; n < num_rows; ++n) {
+ const uint ib0 = a_offset + (first_row+n)*num_blocks_per_row;
+ csel ^= 1;
+
+ if (!all_threads) { // when we don't have enough blocks to use all threads
+ if (i < num_blocks_per_row)
+ sccache[csel][ix][itid] = FLOAT_TYPE(data_a[ib0 + i].scales[itid]);
+ barrier();
+
+ if (i >= num_blocks_per_row)
+ continue;
+ }
+
+ const uint32_t ql0_u32 = uint32_t(data_a_packed16[ib0 + i].ql[ql_offset / 2]) | (uint32_t(data_a_packed16[ib0 + i].ql[ql_offset / 2 + 1]) << 16);
+ const uint32_t ql32_u32 = uint32_t(data_a_packed16[ib0 + i].ql[ql_offset / 2 + 16]) | (uint32_t(data_a_packed16[ib0 + i].ql[ql_offset / 2 + 17]) << 16);
+
+ const uint32_t ql0_u32_lo4 = ql0_u32 & 0x0F0F0F0F;
+ const uint32_t ql0_u32_hi4 = (ql0_u32 >> 4) & 0x0F0F0F0F;
+ const uint32_t ql32_u32_lo4 = ql32_u32 & 0x0F0F0F0F;
+ const uint32_t ql32_u32_hi4 = (ql32_u32 >> 4) & 0x0F0F0F0F;
+
+ const uint32_t qh_u32 = uint32_t(data_a_packed16[ib0 + i].qh[qh_offset / 2]) | (uint32_t(data_a_packed16[ib0 + i].qh[qh_offset / 2 + 1]) << 16);
+ const uint32_t qh0_u32 = (qh_u32 & 0x03030303) << 4;
+ const uint32_t qh2_u32 = (qh_u32 & 0x0C0C0C0C) << 2;
+ const uint32_t qh4_u32 = (qh_u32 & 0x30303030);
+ const uint32_t qh6_u32 = (qh_u32 & 0xC0C0C0C0) >> 2;
+
+ const uint32_t q0_u32 = ql0_u32_lo4 | qh0_u32;
+ const uint32_t q1_u32 = ql32_u32_lo4 | qh2_u32;
+ const uint32_t q2_u32 = ql0_u32_hi4 | qh4_u32;
+ const uint32_t q3_u32 = ql32_u32_hi4 | qh6_u32;
+
+ const vec4 q0 = vec4(unpack8(q0_u32)) - 32;
+ const vec4 q1 = vec4(unpack8(q1_u32)) - 32;
+ const vec4 q2 = vec4(unpack8(q2_u32)) - 32;
+ const vec4 q3 = vec4(unpack8(q3_u32)) - 32;
+
+ if (all_threads) {
+ sccache[csel][ix][itid] = FLOAT_TYPE(data_a[ib0 + i].scales[itid]);
+ barrier();
+ }
+
+ const FLOAT_TYPE d = FLOAT_TYPE(data_a[ib0 + i].d);
+
+ [[unroll]] for (uint j = 0; j < NUM_COLS; ++j) {
+ vec4 by0 = vec4(data_b_v4[(j*p.batch_stride_b + b_offset + y_idx) / 4 ]);
+ vec4 by32 = vec4(data_b_v4[(j*p.batch_stride_b + b_offset + y_idx) / 4 + 8]);
+ vec4 by64 = vec4(data_b_v4[(j*p.batch_stride_b + b_offset + y_idx) / 4 + 16]);
+ vec4 by96 = vec4(data_b_v4[(j*p.batch_stride_b + b_offset + y_idx) / 4 + 24]);
+
+ FLOAT_TYPE sum[4] = {0, 0, 0, 0};
+ [[unroll]] for (uint l = 0; l < 4; ++l) {
+ sum[0] = fma(FLOAT_TYPE(by0[l]), q0[l], sum[0]);
+ sum[1] = fma(FLOAT_TYPE(by32[l]), q1[l], sum[1]);
+ sum[2] = fma(FLOAT_TYPE(by64[l]), q2[l], sum[2]);
+ sum[3] = fma(FLOAT_TYPE(by96[l]), q3[l], sum[3]);
+ }
+ temp[j][n] = fma(fma(sum[0], sccache[csel][ix][s_offset], fma(sum[1], sccache[csel][ix][s_offset + 2], fma(sum[2], sccache[csel][ix][s_offset + 4], sum[3] * sccache[csel][ix][s_offset + 6]))), d, temp[j][n]);
+ }
+ }
+}
+
+void compute_outputs(const uint first_row, const uint num_rows) {
+ uint a_offset, b_offset, d_offset;
+ get_offsets(a_offset, b_offset, d_offset);
+
+ const uint num_blocks_per_row = p.ncols / QUANT_K;
+
+ // 16 threads are used to process each block
+ const uint it_size = gl_WorkGroupSize.x/16;
+ const uint tid = gl_LocalInvocationID.x;
+ const uint itid = tid%16; // 0...15
+ const uint ix = tid/16;
+
+ const uint v_im = itid/8; // 0 or 1. 0 computes 0..., 1 computes 128...
+ const uint v_in = itid - 8*v_im; // 0...7
+
+ const uint l0 = 4 * v_in; // 0, 4, 8, ..., 28
+ const uint is = v_in / 4;
+
+ const uint ql_offset = 64*v_im + l0;
+ const uint qh_offset = 32*v_im + l0;
+ const uint s_offset = 8*v_im + is;
+ const uint y_offset = 128*v_im + l0;
+
+ [[unroll]] for (uint j = 0; j < NUM_COLS; ++j) {
+ [[unroll]] for (uint i = 0; i < NUM_ROWS; ++i) {
+ temp[j][i] = FLOAT_TYPE(0);
+ }
+ }
+
+ const uint nbr_par_th = num_blocks_per_row%it_size;
+ const uint nbr_all_th = num_blocks_per_row - nbr_par_th;
+ uint i0 = 0;
+ [[unroll]] for (; i0 < nbr_all_th; i0 += it_size)
+ calc_superblock(a_offset, b_offset, itid, ix, ql_offset, qh_offset, s_offset, y_offset, i0 + ix, num_blocks_per_row, first_row, num_rows, true);
+ calc_superblock(a_offset, b_offset, itid, ix, ql_offset, qh_offset, s_offset, y_offset, i0 + ix, num_blocks_per_row, first_row, num_rows, false);
+
+ reduce_result(temp, d_offset, first_row, num_rows, tid);
+}
+
+void main() {
+ const uint first_row = NUM_ROWS * (gl_WorkGroupID.x + gl_NumWorkGroups.x * gl_WorkGroupID.z);
+
+ // do NUM_ROWS at a time, unless there aren't enough remaining rows
+ if (first_row + NUM_ROWS <= p.stride_d) {
+ compute_outputs(first_row, NUM_ROWS);
+ } else {
+ if (first_row >= p.stride_d) {
+ return;
+ }
+ compute_outputs(first_row, p.stride_d - first_row);
+ }
+}