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2.91 kB
| 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; | |
| 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; | |
| } | |
| } | |