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vulkan: Optimize argsort #15354
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vulkan: Optimize argsort #15354
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Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -1,69 +1,79 @@ | ||
#version 450 | ||
#extension GL_EXT_control_flow_attributes : enable | ||
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#include "types.comp" | ||
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#define BLOCK_SIZE 1024 | ||
layout(constant_id = 0) const int BLOCK_SIZE = 1024; | ||
layout(constant_id = 1) const int BLOCK_SIZE_LOG2 = 10; | ||
#define ASC 0 | ||
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layout(local_size_x = BLOCK_SIZE, local_size_y = 1, local_size_z = 1) in; | ||
layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in; | ||
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layout (binding = 0) readonly buffer A {A_TYPE data_a[];}; | ||
layout (binding = 1) buffer D {int data_d[];}; | ||
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layout (push_constant) uniform parameter { | ||
uint ncols; | ||
uint ncols_pad; | ||
uint order; | ||
} p; | ||
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shared int dst_row[BLOCK_SIZE]; | ||
shared A_TYPE a_sh[BLOCK_SIZE]; | ||
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void swap(uint idx0, uint idx1) { | ||
int tmp = dst_row[idx0]; | ||
dst_row[idx0] = dst_row[idx1]; | ||
dst_row[idx1] = tmp; | ||
} | ||
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void main() { | ||
void argsort(bool needs_bounds_check) { | ||
// bitonic sort | ||
const int col = int(gl_LocalInvocationID.x); | ||
const uint row = gl_WorkGroupID.y; | ||
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const uint row_offset = row * p.ncols; | ||
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// initialize indices | ||
if (col < p.ncols_pad) { | ||
dst_row[col] = col; | ||
} | ||
dst_row[col] = col; | ||
a_sh[col] = data_a[row_offset + col]; | ||
barrier(); | ||
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for (uint k = 2; k <= p.ncols_pad; k *= 2) { | ||
for (uint j = k / 2; j > 0; j /= 2) { | ||
const uint ixj = col ^ j; | ||
if (col < p.ncols_pad && ixj > col) { | ||
if ((col & k) == 0) { | ||
if (dst_row[col] >= p.ncols || | ||
(dst_row[ixj] < p.ncols && (p.order == ASC ? | ||
data_a[row_offset + dst_row[col]] > data_a[row_offset + dst_row[ixj]] : | ||
data_a[row_offset + dst_row[col]] < data_a[row_offset + dst_row[ixj]])) | ||
) { | ||
swap(col, ixj); | ||
} | ||
} else { | ||
if (dst_row[ixj] >= p.ncols || | ||
(dst_row[col] < p.ncols && (p.order == ASC ? | ||
data_a[row_offset + dst_row[col]] < data_a[row_offset + dst_row[ixj]] : | ||
data_a[row_offset + dst_row[col]] > data_a[row_offset + dst_row[ixj]])) | ||
) { | ||
swap(col, ixj); | ||
} | ||
} | ||
uint num_outer_loop_iters = BLOCK_SIZE_LOG2; | ||
[[unroll]] for (uint k = 2, outer_idx = 0; outer_idx < num_outer_loop_iters; k *= 2, outer_idx++) { | ||
uint num_inner_loop_iters = outer_idx + 1; | ||
[[unroll]] for (uint j = k / 2, inner_idx = 0; inner_idx < num_inner_loop_iters; j /= 2, inner_idx++) { | ||
const int ixj = int(col ^ j); | ||
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int idx_0 = (col & k) == 0 ? col : ixj; | ||
int idx_1 = (col & k) == 0 ? ixj : col; | ||
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int sh_idx_0 = dst_row[idx_0]; | ||
int sh_idx_1 = dst_row[idx_1]; | ||
bool idx_0_oob = needs_bounds_check ? sh_idx_0 >= p.ncols : false; | ||
bool idx_1_oob = needs_bounds_check ? sh_idx_1 >= p.ncols : false; | ||
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if ((idx_0_oob || | ||
(!idx_1_oob && a_sh[sh_idx_0] > a_sh[sh_idx_1])) && (ixj > col)) { | ||
swap(idx_0, idx_1); | ||
} | ||
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barrier(); | ||
} | ||
} | ||
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if (col < p.ncols) { | ||
data_d[row_offset + col] = dst_row[col]; | ||
if (p.order == ASC) { | ||
data_d[row_offset + col] = dst_row[col]; | ||
} else { | ||
data_d[row_offset + p.ncols - col - 1] = dst_row[col]; | ||
} | ||
} | ||
} | ||
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void main() { | ||
if (p.ncols == BLOCK_SIZE) { | ||
argsort(false); | ||
} else { | ||
argsort(true); | ||
} | ||
} |
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