mirror of
https://github.com/RYDE-WORK/llama.cpp.git
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438a83926a
* vulkan: implement specialized MMV kernels for IQ2 quantizations * vulkan: add MMV kernels for IQ3 quants * vulkan: Increase MMV batch size and unroll IQ LUT setup * vulkan: fix init_iq_shmem for WG sizes larger than tables * vulkan: common batch size for all I-quants
88 lines
3.6 KiB
Plaintext
88 lines
3.6 KiB
Plaintext
#version 450
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#extension GL_EXT_shader_explicit_arithmetic_types_int32 : require
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#include "mul_mat_vec_base.comp"
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layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in;
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FLOAT_TYPE temp[NUM_COLS][NUM_ROWS];
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void calc_superblock(const uint a_offset, const uint b_offset, const uint itid, const uint i, const uint num_blocks_per_row, const uint first_row, const uint num_rows) {
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const uint y_idx = i * QUANT_K + 16 * itid;
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const uint nibble_shift = 4 * (itid & 1);
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const uint ib32 = itid / 2; // 0..7
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uint ibi = a_offset / QUANT_K + first_row * num_blocks_per_row + i;
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[[unroll]] for (uint n = 0; n < num_rows; ++n) {
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const float d = float(data_a[ibi].d);
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const uint scale = (data_a[ibi].scales[ib32] >> nibble_shift) & 0xF;
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const float db = d * (0.5 + scale) * 0.25;
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[[unroll]] for (uint l = 0; l < 2; ++l) {
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const uint qs = data_a[ibi].qs[2 * itid + l];
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const uint sign = qs >> 9;
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const uint sign7 = bitCount(sign);
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const vec4 grid0 = vec4(unpack8(iq2xs_grid[qs & 511].x));
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const vec4 grid1 = vec4(unpack8(iq2xs_grid[qs & 511].y));
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[[unroll]] for (uint j = 0; j < NUM_COLS; ++j) {
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vec4 b0 = vec4(data_b_v4[(j*p.batch_stride_b + b_offset + y_idx) / 4 + 2*l + 0]);
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vec4 b4 = vec4(data_b_v4[(j*p.batch_stride_b + b_offset + y_idx) / 4 + 2*l + 1]);
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FLOAT_TYPE sum =
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fma(FLOAT_TYPE(b0.x), FLOAT_TYPE((sign & 1) != 0 ? -grid0.x : grid0.x),
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fma(FLOAT_TYPE(b0.y), FLOAT_TYPE((sign & 2) != 0 ? -grid0.y : grid0.y),
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fma(FLOAT_TYPE(b0.z), FLOAT_TYPE((sign & 4) != 0 ? -grid0.z : grid0.z),
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fma(FLOAT_TYPE(b0.w), FLOAT_TYPE((sign & 8) != 0 ? -grid0.w : grid0.w),
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fma(FLOAT_TYPE(b4.x), FLOAT_TYPE((sign & 16) != 0 ? -grid1.x : grid1.x),
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fma(FLOAT_TYPE(b4.y), FLOAT_TYPE((sign & 32) != 0 ? -grid1.y : grid1.y),
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fma(FLOAT_TYPE(b4.z), FLOAT_TYPE((sign & 64) != 0 ? -grid1.z : grid1.z),
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fma(FLOAT_TYPE(b4.w), FLOAT_TYPE((sign7 & 1) != 0 ? -grid1.w : grid1.w),
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FLOAT_TYPE(0.0)))))))));
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temp[j][n] = fma(db, sum, temp[j][n]);
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}
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}
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ibi += num_blocks_per_row;
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}
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}
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void compute_outputs(const uint32_t first_row, const uint32_t num_rows) {
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uint a_offset, b_offset, d_offset;
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get_offsets(a_offset, b_offset, d_offset);
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const uint num_blocks_per_row = p.ncols / QUANT_K;
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// 16 threads are used to process each block
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const uint blocks_per_wg = gl_WorkGroupSize.x/16;
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const uint tid = gl_LocalInvocationID.x;
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const uint itid = tid % 16; // 0...15
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const uint ix = tid / 16;
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[[unroll]] for (uint j = 0; j < NUM_COLS; ++j) {
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[[unroll]] for (uint i = 0; i < NUM_ROWS; ++i) {
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temp[j][i] = FLOAT_TYPE(0);
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}
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}
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[[unroll]] for (uint i = ix; i < num_blocks_per_row; i += blocks_per_wg)
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calc_superblock(a_offset, b_offset, itid, i, num_blocks_per_row, first_row, num_rows);
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reduce_result(temp, d_offset, first_row, num_rows, tid);
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}
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void main() {
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const uint first_row = NUM_ROWS * (gl_WorkGroupID.x + gl_NumWorkGroups.x * gl_WorkGroupID.z);
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init_iq_shmem(gl_WorkGroupSize);
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// do NUM_ROWS at a time, unless there aren't enough remaining rows
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if (first_row + NUM_ROWS <= p.stride_d) {
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compute_outputs(first_row, NUM_ROWS);
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} else {
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if (first_row >= p.stride_d) {
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return;
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}
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compute_outputs(first_row, p.stride_d - first_row);
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}
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}
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