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todo: 基于 CUDA 13.0 编译
2517be1
#version 450
#include "types.glsl"
#include "sum_rows.glsl"
#extension GL_EXT_control_flow_attributes : enable
#extension GL_KHR_shader_subgroup_arithmetic : enable
#extension GL_KHR_shader_subgroup_basic : enable
layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in;
layout (binding = 0) readonly buffer A {A_TYPE data_a[];};
layout (binding = 1) writeonly buffer D {D_TYPE data_d[];};
layout (constant_id = 0) const uint BLOCK_SIZE = 128;
layout (constant_id = 1) const uint SUBGROUP_SIZE = 32;
layout (constant_id = 2) const uint ELEM_PER_THREAD = 4;
#define CEIL_DIV(a, b) (((a) + (b) - 1) / (b))
shared FLOAT_TYPE partial[BLOCK_SIZE / SUBGROUP_SIZE];
shared FLOAT_TYPE last_sum;
void main() {
const uint row = gl_WorkGroupID.z * 262144 + gl_WorkGroupID.y * 512 + gl_WorkGroupID.x;
const uint tid = gl_LocalInvocationID.x;
const uint i03 = fastdiv(row, p.ne0_12mp, p.ne0_12L);
const uint i03_offset = i03 * p.ne01*p.ne02;
const uint i02 = fastdiv(row - i03_offset, p.ne0_1mp, p.ne0_1L);
const uint i01 = row - i03_offset - i02*p.ne01;
const uint src_idx = get_aoffset() + i01 * p.nb01 + i02 * p.nb02 + i03 * p.nb03;
const uint dst_idx = get_doffset() + i01 * p.nb11 + i02 * p.nb12 + i03 * p.nb13;
uint subgroup_id = tid / SUBGROUP_SIZE;
if (tid == 0) {
last_sum = 0;
}
uint col = tid * ELEM_PER_THREAD;
uint num_iter = CEIL_DIV(p.n_cols, BLOCK_SIZE * ELEM_PER_THREAD);
for (int i = 0; i < num_iter; ++i) {
FLOAT_TYPE v[ELEM_PER_THREAD];
FLOAT_TYPE thread_sum = 0;
[[unroll]] for (uint j = 0; j < ELEM_PER_THREAD; ++j) {
if (col + j < p.n_cols) {
thread_sum += FLOAT_TYPE(data_a[src_idx + col + j]);
}
v[j] = thread_sum;
}
thread_sum = subgroupExclusiveAdd(thread_sum);
[[unroll]] for (uint j = 0; j < ELEM_PER_THREAD; ++j) {
v[j] += thread_sum;
}
// Store the largest partial sum for each subgroup, then add the partials for all
// lower subgroups and the final partial sum from the previous iteration.
if (gl_SubgroupInvocationID == SUBGROUP_SIZE - 1) {
partial[subgroup_id] = v[ELEM_PER_THREAD - 1];
}
barrier();
for (int s = 0; s < subgroup_id; ++s) {
[[unroll]] for (uint j = 0; j < ELEM_PER_THREAD; ++j) {
v[j] += partial[s];
}
}
[[unroll]] for (uint j = 0; j < ELEM_PER_THREAD; ++j) {
v[j] += last_sum;
}
barrier();
if (tid == BLOCK_SIZE - 1) {
last_sum = v[ELEM_PER_THREAD - 1];
}
[[unroll]] for (uint j = 0; j < ELEM_PER_THREAD; ++j) {
if (col + j < p.n_cols) {
data_d[dst_idx + col + j] = D_TYPE(v[j]);
}
}
col += BLOCK_SIZE * ELEM_PER_THREAD;
}
}