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llama.cpp
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vulkan: improve mul_mat_vec_iq1_s speed (#17874)

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lovedheart 2025-12-14 08:47:49 +01:00 committed by GitHub
parent d15d177f43
commit 4722671641
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1 changed files with 38 additions and 22 deletions
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48
ggml/src/ggml-vulkan/vulkan-shaders/mul_mat_vec_iq1_s.comp
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@ -7,36 +7,52 @@ layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in;
FLOAT_TYPE temp[NUM_COLS][NUM_ROWS];
void calc_superblock(const uint a_offset, const uint b_offset, const uint ib32, const uint i, const uint num_blocks_per_row, const uint first_row, const uint num_rows) {
const uint y_idx = i * QUANT_K + 32 * ib32;
void calc_superblock(const uint a_offset, const uint b_offset, const uint ib32, const uint i,
const uint num_blocks_per_row, const uint first_row, const uint num_rows) {
const uint y_idx_base = i * QUANT_K + 32 * ib32;
[[unroll]] for (uint j = 0; j < NUM_COLS; ++j) {
const uint base_b_idx = (j * p.batch_stride_b + b_offset + y_idx_base) / 4;
[[unroll]] for (uint l = 0; l < 4; ++l) {
const vec4 b_val_0 = vec4(data_b_v4[base_b_idx + 2 * l]);
const vec4 b_val_1 = vec4(data_b_v4[base_b_idx + 2 * l + 1]);
// index for data_a
uint ibi = a_offset / QUANT_K + first_row * num_blocks_per_row + i;
[[unroll]] for (uint n = 0; n < num_rows; ++n) {
const float d = float(data_a[ibi].d);
const uint qh = data_a[ibi].qh[ib32];
const float dl = d * float(2 * bitfieldExtract(qh, 12, 3) + 1);
const float delta = ((qh & 0x8000) != 0) ? -IQ1S_DELTA : IQ1S_DELTA;
[[unroll]] for (uint l = 0; l < 4; ++l) {
const float dl = d * float(2 * bitfieldExtract(qh, 12, 3) + 1);
const uint qs = data_a[ibi].qs[4 * ib32 + l];
const uint idxhi = bitfieldExtract(qh, 3 * int(l), 3);
const int16_t grid = int16_t(iq1s_grid[qs | (idxhi << 8)]);
const uint16_t grid = uint16_t(iq1s_grid[qs | (idxhi << 8)]);
[[unroll]] for (uint j = 0; j < NUM_COLS; ++j) {
vec4 b0 = vec4(data_b_v4[(j*p.batch_stride_b + b_offset + y_idx) / 4 + 2*l + 0]);
vec4 b4 = vec4(data_b_v4[(j*p.batch_stride_b + b_offset + y_idx) / 4 + 2*l + 1]);
const float delta_val = ((qh & 0x8000) != 0) ? -IQ1S_DELTA : IQ1S_DELTA;
const vec4 delta_v = vec4(delta_val);
const vec4 fbits0 = vec4(
float(bitfieldExtract(grid, 0, 2)),
float(bitfieldExtract(grid, 2, 2)),
float(bitfieldExtract(grid, 4, 2)),
float(bitfieldExtract(grid, 6, 2))
);
const vec4 fbits1 = vec4(
float(bitfieldExtract(grid, 8, 2)),
float(bitfieldExtract(grid, 10, 2)),
float(bitfieldExtract(grid, 12, 2)),
float(bitfieldExtract(grid, 14, 2))
);
vec4 sum_v = fma(b_val_0, fbits0 + delta_v, vec4(0.0));
sum_v = fma(b_val_1, fbits1 + delta_v, sum_v);
FLOAT_TYPE sum = dot(sum_v, vec4(1.0));
FLOAT_TYPE sum = FLOAT_TYPE(0.0);
[[unroll]] for (int k = 0; k < 4; ++k) {
sum = fma(FLOAT_TYPE(b0[k]), bitfieldExtract(grid, 2 * k, 2) + delta,
fma(FLOAT_TYPE(b4[k]), bitfieldExtract(grid, 8 + 2 * k, 2) + delta, sum));
}
temp[j][n] = fma(dl, sum, temp[j][n]);
}
}
ibi += num_blocks_per_row;
}
}
}
}
void compute_outputs(const uint32_t first_row, const uint32_t num_rows) {
uint a_offset, b_offset, d_offset;