vulkan: Implement top-k (#17418)
* vulkan: Implement top-k Each pass launches workgroups that each sort 2^N elements (where N is usually 7-10) and discards all but the top K. Repeat until only K are left. And there's a fast path when K==1 to just find the max value rather than sorting. * fix pipeline selection * vulkan: Add N-ary search algorithm for topk * microoptimizations
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#version 450
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#extension GL_EXT_control_flow_attributes : enable
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#include "types.glsl"
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layout(constant_id = 0) const int BLOCK_SIZE = 1024;
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layout(constant_id = 1) const int NCOLS_PADDED_LOG2 = 10;
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layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in;
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// Input can either be the source (A) or intermediate values (S).
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// Similarly, output can be either destination (D) or intermediate values (S).
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layout (binding = 0) readonly buffer A {A_TYPE data_a[];};
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layout (binding = 0) readonly buffer S {ivec2 data_s[];};
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layout (binding = 1) writeonly buffer D {int data_d[];};
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layout (binding = 1) writeonly buffer T {ivec2 data_t[];};
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layout (push_constant) uniform parameter {
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uint orig_ncols;
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uint ncols_input;
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uint ncols_output;
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uint nrows;
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uint first_pass;
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uint last_pass;
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} p;
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// pairs of (gid, value)
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shared ivec2 dst_row[BLOCK_SIZE];
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void topk(bool needs_bounds_check, const uint row) {
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const int col = int(gl_LocalInvocationID.x);
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// initialize indices
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if (gl_GlobalInvocationID.x < p.ncols_input) {
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if (p.first_pass != 0) {
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const uint row_offset = row * p.ncols_input;
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dst_row[col] = ivec2(gl_GlobalInvocationID.x, floatBitsToInt(data_a[row_offset + gl_GlobalInvocationID.x]));
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} else {
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const uint row_offset = row * p.orig_ncols;
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dst_row[col] = data_s[row_offset + gl_GlobalInvocationID.x];
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}
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} else {
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dst_row[col] = ivec2(p.orig_ncols, 0);
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}
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barrier();
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if (p.ncols_output == 1) {
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// Fast path for single output - just do a max reduction
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[[unroll]] for (int s = BLOCK_SIZE / 2; s >= 1; s /= 2) {
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if (col < s) {
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ivec2 a = dst_row[col];
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ivec2 b = dst_row[col + s];
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if (a.x >= p.orig_ncols ||
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b.x < p.orig_ncols && b.y > a.y) {
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dst_row[col] = b;
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}
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}
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barrier();
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}
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} else {
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// bitonic sort on this group of elements
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uint num_outer_loop_iters = NCOLS_PADDED_LOG2;
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for (uint k = 2, outer_idx = 0; outer_idx < num_outer_loop_iters; k *= 2, outer_idx++) {
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uint num_inner_loop_iters = outer_idx + 1;
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for (uint j = k / 2, inner_idx = 0; inner_idx < num_inner_loop_iters; j /= 2, inner_idx++) {
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const int ixj = int(col ^ j);
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int idx_0 = (col & k) == 0 ? col : ixj;
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int idx_1 = (col & k) == 0 ? ixj : col;
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ivec2 sh_idx_0 = dst_row[idx_0];
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ivec2 sh_idx_1 = dst_row[idx_1];
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bool idx_0_oob = needs_bounds_check ? sh_idx_0.x >= p.orig_ncols : false;
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bool idx_1_oob = needs_bounds_check ? sh_idx_1.x >= p.orig_ncols : false;
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if ((idx_0_oob ||
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(!idx_1_oob && intBitsToFloat(sh_idx_0.y) < intBitsToFloat(sh_idx_1.y))) && (ixj > col)) {
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dst_row[idx_0] = sh_idx_1;
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dst_row[idx_1] = sh_idx_0;
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}
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barrier();
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}
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}
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}
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if (col < p.ncols_output && gl_GlobalInvocationID.x < p.orig_ncols) {
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if (p.last_pass != 0) {
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const uint row_offset = row * p.ncols_output;
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data_d[row_offset + col] = dst_row[col].x;
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} else {
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const uint row_offset = row * p.orig_ncols + gl_WorkGroupID.x * p.ncols_output;
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data_t[row_offset + col] = dst_row[col];
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}
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}
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}
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void main() {
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// Fast path for fully occupied workgroups
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if ((p.ncols_input % BLOCK_SIZE) == 0) {
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uint row = gl_WorkGroupID.y;
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while (row < p.nrows) {
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topk(false, row);
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row += gl_WorkGroupSize.y * gl_NumWorkGroups.y;
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}
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} else {
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uint row = gl_WorkGroupID.y;
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while (row < p.nrows) {
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topk(true, row);
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row += gl_WorkGroupSize.y * gl_NumWorkGroups.y;
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}
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}
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}
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