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-rw-r--r--vulkan-shaders/mul_mat_vec_q2_k.comp73
1 files changed, 73 insertions, 0 deletions
diff --git a/vulkan-shaders/mul_mat_vec_q2_k.comp b/vulkan-shaders/mul_mat_vec_q2_k.comp
new file mode 100644
index 00000000..27bf6d51
--- /dev/null
+++ b/vulkan-shaders/mul_mat_vec_q2_k.comp
@@ -0,0 +1,73 @@
+#version 450
+
+#include "mul_mat_vec_base.comp"
+
+layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in;
+
+shared FLOAT_TYPE tmp[32];
+
+void main() {
+ const uint row = gl_WorkGroupID.x;
+
+ 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;
+ const uint ib0 = a_offset / QUANT_K + row*num_blocks_per_row;
+
+ const uint tid = gl_LocalInvocationID.x/K_QUANTS_PER_ITERATION; // 0...31 or 0...16
+ const uint ix = gl_LocalInvocationID.x%K_QUANTS_PER_ITERATION; // 0 or 0, 1
+
+ const uint step = 16/K_QUANTS_PER_ITERATION; // 16 or 8
+
+ const uint v_im = tid/step; // 0 or 1. 0 computes 0..., 1 computes 128...
+ const uint v_in = tid - step*v_im; // 0...15 or 0...7
+
+ const uint l0 = K_QUANTS_PER_ITERATION*v_in; // 0...15
+ const uint q_offset = 32*v_im + l0;
+ const uint s_offset = 8*v_im;
+ const uint y_offset = 128*v_im + l0;
+
+ tmp[16 * ix + tid] = FLOAT_TYPE(0.0); // partial sum for thread in warp
+
+ [[unroll]] for (uint i = ix; i < num_blocks_per_row; i += K_QUANTS_PER_ITERATION) {
+ const uint y_idx = i * QUANT_K + y_offset;
+
+ const FLOAT_TYPE dall = FLOAT_TYPE(data_a[ib0 + i].d.x);
+ const FLOAT_TYPE dmin = FLOAT_TYPE(data_a[ib0 + i].d.y);
+
+ FLOAT_TYPE sum1 = FLOAT_TYPE(0.0);
+ FLOAT_TYPE sum2 = FLOAT_TYPE(0.0);
+ for (int l = 0; l < K_QUANTS_PER_ITERATION; ++l) {
+ sum1 += FLOAT_TYPE(data_b[b_offset + y_idx + l + 0]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 0] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l + 0] >> 0) & 3)
+ + FLOAT_TYPE(data_b[b_offset + y_idx + l + 16]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 1] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l +16] >> 0) & 3)
+ + FLOAT_TYPE(data_b[b_offset + y_idx + l + 32]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 2] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l + 0] >> 2) & 3)
+ + FLOAT_TYPE(data_b[b_offset + y_idx + l + 48]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 3] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l +16] >> 2) & 3)
+ + FLOAT_TYPE(data_b[b_offset + y_idx + l + 64]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 4] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l + 0] >> 4) & 3)
+ + FLOAT_TYPE(data_b[b_offset + y_idx + l + 80]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 5] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l +16] >> 4) & 3)
+ + FLOAT_TYPE(data_b[b_offset + y_idx + l + 96]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 6] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l + 0] >> 6) & 3)
+ + FLOAT_TYPE(data_b[b_offset + y_idx + l +112]) * FLOAT_TYPE(data_a[ib0 + i].scales[s_offset + 7] & 0xF) * FLOAT_TYPE((data_a[ib0 + i].qs[q_offset + l +16] >> 6) & 3);
+ sum2 += FLOAT_TYPE(data_b[b_offset + y_idx + l + 0]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 0] >> 4) & 0xF)
+ + FLOAT_TYPE(data_b[b_offset + y_idx + l + 16]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 1] >> 4) & 0xF)
+ + FLOAT_TYPE(data_b[b_offset + y_idx + l + 32]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 2] >> 4) & 0xF)
+ + FLOAT_TYPE(data_b[b_offset + y_idx + l + 48]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 3] >> 4) & 0xF)
+ + FLOAT_TYPE(data_b[b_offset + y_idx + l + 64]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 4] >> 4) & 0xF)
+ + FLOAT_TYPE(data_b[b_offset + y_idx + l + 80]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 5] >> 4) & 0xF)
+ + FLOAT_TYPE(data_b[b_offset + y_idx + l + 96]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 6] >> 4) & 0xF)
+ + FLOAT_TYPE(data_b[b_offset + y_idx + l +112]) * FLOAT_TYPE((data_a[ib0 + i].scales[s_offset + 7] >> 4) & 0xF);
+ }
+ tmp[16 * ix + tid] += dall * sum1 - dmin * sum2;
+ }
+
+ // sum up partial sums and write back result
+ barrier();
+ [[unroll]] for (uint s = 16; s > 0; s >>= 1) {
+ if (tid < s) {
+ tmp[tid] += tmp[tid + s];
+ }
+ barrier();
+ }
+ if (tid == 0) {
+ data_d[d_offset + row] = D_TYPE(tmp[0]);
+ }
+}