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authorKawrakow <48489457+ikawrakow@users.noreply.github.com>2024-07-27 07:55:01 +0200
committerGitHub <noreply@github.com>2024-07-27 07:55:01 +0200
commit154e0d75fccf1784fe9ff6fd76a630b66563da3d (patch)
tree81ce6dbb5b1900c1aa78a879f0593c694cab9d27 /ggml/src/vulkan-shaders/argsort.comp
parent0684c3e9c70d49323b4fc517128cbe222cab7f96 (diff)
Merge mainline llama.cpp (#3)
* Merging mainline - WIP * Merging mainline - WIP AVX2 and CUDA appear to work. CUDA performance seems slightly (~1-2%) lower as it is so often the case with llama.cpp/ggml after some "improvements" have been made. * Merging mainline - fix Metal * Remove check --------- Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
Diffstat (limited to 'ggml/src/vulkan-shaders/argsort.comp')
-rw-r--r--ggml/src/vulkan-shaders/argsort.comp71
1 files changed, 71 insertions, 0 deletions
diff --git a/ggml/src/vulkan-shaders/argsort.comp b/ggml/src/vulkan-shaders/argsort.comp
new file mode 100644
index 00000000..e55414b0
--- /dev/null
+++ b/ggml/src/vulkan-shaders/argsort.comp
@@ -0,0 +1,71 @@
+#version 450
+
+#include "types.comp"
+
+#define BLOCK_SIZE 1024
+#define ASC 0
+
+layout(local_size_x = BLOCK_SIZE, local_size_y = 1, local_size_z = 1) in;
+
+layout (binding = 0) readonly buffer A {A_TYPE data_a[];};
+layout (binding = 1) buffer D {int data_d[];};
+
+layout (push_constant) uniform parameter {
+ uint ncols;
+ uint ncols_pad;
+ uint order;
+} p;
+
+shared int dst_row[BLOCK_SIZE];
+
+void swap(uint idx0, uint idx1) {
+ int tmp = dst_row[idx0];
+ dst_row[idx0] = dst_row[idx1];
+ dst_row[idx1] = tmp;
+}
+
+void main() {
+ // bitonic sort
+ const int col = int(gl_LocalInvocationID.x);
+ const uint row = gl_WorkGroupID.y;
+
+ if (col >= p.ncols_pad) {
+ return;
+ }
+
+ const uint row_offset = row * p.ncols;
+
+ // initialize indices
+ dst_row[col] = col;
+ barrier();
+
+ 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 (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);
+ }
+ }
+ }
+ barrier();
+ }
+ }
+
+ if (col < p.ncols) {
+ data_d[row_offset + col] = dst_row[col];
+ }
+}