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https://github.com/ggml-org/llama.cpp.git
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vulkan: dynamic subgroup size for the remaining k quants (#10745)
* q5_k q4_k q3_k q2_k q6_k multi row example * revert as multi row isnt faster for k quants
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@@ -4,9 +4,11 @@
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#include "mul_mat_vec_base.comp"
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layout(local_size_x = 32, local_size_y = 1, local_size_z = 1) in;
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layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in;
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shared FLOAT_TYPE tmp[32];
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layout (constant_id = 0) const uint BLOCK_SIZE = 32;
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shared FLOAT_TYPE tmp[BLOCK_SIZE];
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void main() {
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const uint row = gl_WorkGroupID.x + gl_NumWorkGroups.x * gl_WorkGroupID.z;
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@@ -21,11 +23,14 @@ void main() {
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const uint num_blocks_per_row = p.ncols / QUANT_K;
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const uint ib0 = a_offset / QUANT_K + row*num_blocks_per_row;
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const uint tid = gl_LocalInvocationID.x/2; // 0...31 or 0...16
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const uint ix = gl_LocalInvocationID.x%2; // 0 or 0, 1
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// 16 threads are used to process each block
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const uint it_size = gl_WorkGroupSize.x/16;
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const uint tid = gl_LocalInvocationID.x;
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const uint itid = tid%16; // 0...16
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const uint ix = tid/16;
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const uint il = tid/4; // 0...3
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const uint ir = tid - 4*il; // 0...7 or 0...3
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const uint il = itid/4; // 0...3
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const uint ir = itid - 4*il; // 0...7 or 0...3
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const uint v_im = il / 2; // 0 or 1. 0 computes 0,32 + 128,160, 1 computes 64,96 + 192,224
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const uint v_in = il % 2;
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@@ -36,7 +41,7 @@ void main() {
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FLOAT_TYPE temp = FLOAT_TYPE(0.0); // partial sum for thread in warp
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[[unroll]] for (uint i = ix; i < num_blocks_per_row; i += 2) {
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[[unroll]] for (uint i = ix; i < num_blocks_per_row; i += it_size) {
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const uint y1_idx = i * QUANT_K + y_offset;
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const uint y2_idx = y1_idx + 128;
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@@ -143,7 +148,7 @@ void main() {
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// sum up partial sums and write back result
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barrier();
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[[unroll]] for (uint s = 16; s > 0; s >>= 1) {
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[[unroll]] for (uint s = gl_WorkGroupSize.x/2; s > 0; s >>= 1) {
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if (tid < s) {
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tmp[tid] += tmp[tid + s];
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}
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