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Vulkan Mixture of Experts (MoE) support (#7628)

* Finish Vulkan mul_mat_id implementation

* Add Vulkan sum_rows and div ops

* Fix MUL_MAT_ID matrix matrix shader

* Fix MUL_MAT_ID matrix vector shader dispatch size

* Fix MUL_MAT_ID matrix vector shader and dispatch code

* Update Vulkan CPU offload for MUL_MAT_ID

* Fix crash when using split mode none and setting a main GPU
0cc4m 1 an în urmă
părinte
comite
3d7ebf6312
5 a modificat fișierele cu 1077 adăugiri și 727 ștergeri
  1. 6 6
      common/common.cpp
  2. 481 120
      ggml-vulkan-shaders.hpp
  3. 369 289
      ggml-vulkan.cpp
  4. 220 311
      ggml_vk_generate_shaders.py
  5. 1 1
      llama.cpp

+ 6 - 6
common/common.cpp

@@ -1002,9 +1002,9 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
             return true;
         }
         params.main_gpu = std::stoi(argv[i]);
-#ifndef GGML_USE_CUDA_SYCL
-        fprintf(stderr, "warning: llama.cpp was compiled without CUDA/SYCL. Setting the main GPU has no effect.\n");
-#endif // GGML_USE_CUDA_SYCL
+#ifndef GGML_USE_CUDA_SYCL_VULKAN
+        fprintf(stderr, "warning: llama.cpp was compiled without CUDA/SYCL/Vulkan. Setting the main GPU has no effect.\n");
+#endif // GGML_USE_CUDA_SYCL_VULKAN
         return true;
     }
     if (arg == "--split-mode" || arg == "-sm") {
@@ -1030,9 +1030,9 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
             invalid_param = true;
             return true;
         }
-#ifndef GGML_USE_CUDA_SYCL
-        fprintf(stderr, "warning: llama.cpp was compiled without CUDA/SYCL. Setting the split mode has no effect.\n");
-#endif // GGML_USE_CUDA_SYCL
+#ifndef GGML_USE_CUDA_SYCL_VULKAN
+        fprintf(stderr, "warning: llama.cpp was compiled without CUDA/SYCL/Vulkan. Setting the split mode has no effect.\n");
+#endif // GGML_USE_CUDA_SYCL_VULKAN
         return true;
     }
     if (arg == "--tensor-split" || arg == "-ts") {

Fișier diff suprimat deoarece este prea mare
+ 481 - 120
ggml-vulkan-shaders.hpp


Fișier diff suprimat deoarece este prea mare
+ 369 - 289
ggml-vulkan.cpp


+ 220 - 311
ggml_vk_generate_shaders.py

@@ -225,10 +225,7 @@ mulmat_head = """#version 450
 #extension GL_EXT_shader_16bit_storage : require
 
 #ifdef MUL_MAT_ID
-#extension GL_EXT_buffer_reference2 : require
-#extension GL_EXT_nonuniform_qualifier : require
-#extension GL_EXT_scalar_block_layout : require
-#extension GL_EXT_shader_explicit_arithmetic_types_int8 : require
+#extension GL_EXT_shader_explicit_arithmetic_types_int16 : require
 
 #define EXPERT_COUNT 8
 #endif
@@ -260,30 +257,22 @@ layout (push_constant) uniform parameter
     uint stride_a;
     uint stride_b;
     uint stride_d;
-    uint k_split;
-
-    uint ne02;
-    uint ne12;
-    uint broadcast2;
-    uint broadcast3;
 
     uint batch_stride_a;
     uint batch_stride_b;
     uint batch_stride_d;
 
 #ifdef MUL_MAT_ID
-    uint expert_stride_a;
-    uint expert_stride_b0;
-    uint expert_stride_b1;
-    uint expert_stride_d;
-
-    uint ids_stride;
-
-    uint n_as;
     uint nei0;
     uint nei1;
     uint nbi1;
     uint ne11;
+#else
+    uint k_split;
+    uint ne02;
+    uint ne12;
+    uint broadcast2;
+    uint broadcast3;
 #endif
 } p;
 
@@ -301,16 +290,14 @@ shared FLOAT_TYPE buf_a[BM * (BK+1)];
 shared FLOAT_TYPE buf_b[BN * (BK+1)];
 
 #ifdef MUL_MAT_ID
-shared u8vec2 rowids[2048];
+shared u16vec2 row_ids[2048];
 #endif
 
 void main() {
 #ifdef MUL_MAT_ID
-    const uint batch_idx = gl_GlobalInvocationID.z / p.n_as;
-    const uint expert_idx = gl_GlobalInvocationID.z % p.n_as;
+    const uint expert_idx = gl_GlobalInvocationID.z;
 #else
     const uint batch_idx = gl_GlobalInvocationID.z;
-#endif
 
     const uint i13 = batch_idx / p.ne12;
     const uint i12 = batch_idx % p.ne12;
@@ -319,6 +306,7 @@ void main() {
     const uint i02 = i12 / p.broadcast2;
 
     const uint batch_idx_a = i03 * p.ne02 + i02;
+#endif
 
     const uint blocks_m = (p.M + BM - 1) / BM;
     const uint ir = gl_WorkGroupID.x % blocks_m;
@@ -350,30 +338,38 @@ void main() {
     for (uint ii1 = 0; ii1 < p.nei1; ii1++) {
         for (uint ii0 = 0; ii0 < p.nei0; ii0++) {
             if (data_ids[ii1*p.nbi1 + ii0] == expert_idx) {
-                rowids[_ne1] = u8vec2(ii0, ii1);
+                row_ids[_ne1] = u16vec2(ii0, ii1);
                 _ne1++;
             }
         }
     }
 
-    const u8vec2 id = rowids[ir * BN + ic];
+    barrier();
+
+    // Workgroup has no work
+    if (ic * BN >= _ne1) return;
 #endif
 
+#ifdef MUL_MAT_ID
+    const uint start_k = 0;
+    const uint end_k = p.K;
+#else
     const uint start_k = ik * p.k_split;
     const uint end_k = min(p.K, (ik + 1) * p.k_split);
+#endif
 
     uint pos_a = (
 #ifdef MUL_MAT_ID
-        expert_idx * p.expert_stride_a +
+        expert_idx * p.batch_stride_a +
+#else
+        batch_idx_a * p.batch_stride_a +
 #endif
-        batch_idx_a * p.batch_stride_a + ir * BM * p.stride_a + start_k) / LOAD_VEC_A;
-    uint pos_b = (
+        ir * BM * p.stride_a + start_k) / LOAD_VEC_A;
 #ifdef MUL_MAT_ID
-        id.y * p.expert_stride_b1 +
-        (id.x % p.ne11) * p.expert_stride_b0 +
+    uint pos_b = 0;
+#else
+    uint pos_b = (batch_idx * p.batch_stride_b + ic * BN * p.stride_b + start_k) / LOAD_VEC_B;
 #endif
-        batch_idx * p.batch_stride_b +
-        ic * BN * p.stride_b + start_k) / LOAD_VEC_B;
 
     float sums[WMITER * TM * WNITER * TN];
     FLOAT_TYPE cache_a[WMITER * TM];
@@ -620,7 +616,12 @@ mulmat_body2 = """
         }
         [[unroll]] for (uint l = 0; l < BN; l += loadstride_b) {
 #if LOAD_VEC_B == 8
+#ifdef MUL_MAT_ID
+            const u16vec2 row_idx = row_ids[ic * BN + loadc_b + l];
+            const uint idx = pos_b + row_idx.y * p.batch_stride_b / LOAD_VEC_B + (row_idx.x % p.ne11) * p.stride_b / LOAD_VEC_B + loadr_b;
+#else
             const uint idx = pos_b + (loadc_b + l) * p.stride_b / LOAD_VEC_B + loadr_b;
+#endif
             const uint buf_idx = (loadc_b + l) * (BK+1) + loadr_b * LOAD_VEC_B;
             buf_b[buf_idx + 0] = FLOAT_TYPE(data_b[idx][0].x);
             buf_b[buf_idx + 1] = FLOAT_TYPE(data_b[idx][0].y);
@@ -631,18 +632,31 @@ mulmat_body2 = """
             buf_b[buf_idx + 6] = FLOAT_TYPE(data_b[idx][1].z);
             buf_b[buf_idx + 7] = FLOAT_TYPE(data_b[idx][1].w);
 #elif LOAD_VEC_B == 4
+#ifdef MUL_MAT_ID
+            const u16vec2 row_idx = row_ids[ic * BN + loadc_b + l];
+            const uint idx = pos_b + row_idx.y * p.batch_stride_b / LOAD_VEC_B + (row_idx.x % p.ne11) * p.stride_b / LOAD_VEC_B + loadr_b;
+#else
             const uint idx = pos_b + (loadc_b + l) * p.stride_b / LOAD_VEC_B + loadr_b;
+#endif
             const uint buf_idx = (loadc_b + l) * (BK+1) + loadr_b * LOAD_VEC_B;
             buf_b[buf_idx + 0] = FLOAT_TYPE(data_b[idx].x);
             buf_b[buf_idx + 1] = FLOAT_TYPE(data_b[idx].y);
             buf_b[buf_idx + 2] = FLOAT_TYPE(data_b[idx].z);
             buf_b[buf_idx + 3] = FLOAT_TYPE(data_b[idx].w);
-#else
+#elif !MUL_MAT_ID
             if (ic * BN + loadc_b + l < p.N && block + loadr_b < end_k) {
                 buf_b[(loadc_b + l) * (BK+1) + loadr_b] = FLOAT_TYPE(data_b[pos_b + (loadc_b + l) * p.stride_b + loadr_b]);
             } else {
                 buf_b[(loadc_b + l) * (BK+1) + loadr_b] = FLOAT_TYPE(0.0f);
             }
+#else
+            const uint row_i = ic * BN + loadc_b + l;
+            if (row_i < _ne1) {
+                const u16vec2 row_idx = row_ids[row_i];
+                buf_b[(loadc_b + l) * (BK+1) + loadr_b] = FLOAT_TYPE(data_b[pos_b + row_idx.y * p.batch_stride_b + (row_idx.x % p.ne11) * p.stride_b + loadr_b]);
+            } else {
+                buf_b[(loadc_b + l) * (BK+1) + loadr_b] = FLOAT_TYPE(0.0f);
+            }
 #endif
         }
 
@@ -681,11 +695,9 @@ mulmat_body2 = """
     const uint dr = ir * BM + warp_r * WM;
     const uint dc = ic * BN + warp_c * WN;
 
-    const uint offsets =
-#ifdef MUL_MAT_ID
-            expert_idx * p.expert_stride_d +
+#ifndef MUL_MAT_ID
+    const uint offsets = batch_idx * p.batch_stride_d + ik * p.batch_stride_d * gl_NumWorkGroups.z;
 #endif
-            batch_idx * p.batch_stride_d + ik * p.batch_stride_d * gl_NumWorkGroups.z;
 
     [[unroll]] for (uint wsic = 0; wsic < WNITER; wsic++) {
         [[unroll]] for (uint wsir = 0; wsir < WMITER; wsir++) {
@@ -693,10 +705,20 @@ mulmat_body2 = """
             const uint dr_warp = dr + wsir * WSUBM + tiwr * TM;
             const uint dc_warp = dc + wsic * WSUBN + tiwc * TN;
             [[unroll]] for (uint cc = 0; cc < TN; cc++) {
+#ifdef MUL_MAT_ID
+                const uint row_i = dc_warp + cc;
+                if (row_i >= _ne1) break;
+
+                const u16vec2 row_idx = row_ids[row_i];
+#endif
                 [[unroll]] for (uint cr = 0; cr < TM; cr++) {
+#ifdef MUL_MAT_ID
+                    data_d[row_idx.y * p.batch_stride_d + row_idx.x * p.stride_d + dr_warp + cr] = D_TYPE(sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr]);
+#else
                     if (dr_warp + cr < p.M && dc_warp + cc < p.N) {
                         data_d[offsets + (dc_warp + cc) * p.stride_d + dr_warp + cr] = D_TYPE(sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr]);
                     }
+#endif
                 }
             }
         }
@@ -1172,46 +1194,29 @@ layout (push_constant) uniform parameter
     uint stride_b;
     uint stride_d;
 
-    uint ne02;
-    uint ne12;
-    uint broadcast2;
-    uint broadcast3;
-
     uint batch_stride_a;
     uint batch_stride_b;
     uint batch_stride_d;
 
 #ifdef MUL_MAT_ID
-    uint expert_stride_a;
-    uint expert_stride_b0;
-    uint expert_stride_b1;
-    uint expert_stride_d0;
-    uint expert_stride_d1;
-
-    uint ne11;
     uint nei0;
-    uint nbi1;
-    uint n_as;
+    uint ne11;
+#else
+    uint ne02;
+    uint ne12;
+    uint broadcast2;
+    uint broadcast3;
 #endif
 } p;
-"""
 
-mul_mat_vec_body = """
-layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in;
-
-layout (constant_id = 0) const uint BLOCK_SIZE = 32;
-
-shared FLOAT_TYPE tmp[BLOCK_SIZE];
-
-void main() {
-    const uint row = gl_WorkGroupID.x;
-    const uint tid = gl_LocalInvocationID.x;
-    const uint batch_idx = gl_GlobalInvocationID.y;
+void get_offsets(out uint a_offset, out uint b_offset, out uint d_offset) {
 #ifdef MUL_MAT_ID
-    const uint expert_idx1 = gl_GlobalInvocationID.z / p.nei0;
-    const uint expert_idx0 = gl_GlobalInvocationID.z % p.nei0;
+    const uint expert_idx = gl_GlobalInvocationID.y;
+#else
+    const uint batch_idx = gl_GlobalInvocationID.y;
 #endif
 
+#ifndef MUL_MAT_ID
     const uint i13 = batch_idx / p.ne12;
     const uint i12 = batch_idx % p.ne12;
 
@@ -1219,28 +1224,44 @@ void main() {
     const uint i02 = i12 / p.broadcast2;
 
     const uint batch_idx_a = i03 * p.ne02 + i02;
-
-#ifdef MUL_MAT_ID
-    const uint expert_id = data_ids[expert_idx1 * p.nbi1 + expert_idx0];
+#else
+    const uint expert_id = data_ids[expert_idx];
 #endif
 
-    const uint a_offset =
+    a_offset =
 #ifdef MUL_MAT_ID
-            expert_id * p.expert_stride_a +
-#endif
+            expert_id * p.batch_stride_a;
+#else
             batch_idx_a * p.batch_stride_a;
-    const uint b_offset =
-#ifdef MUL_MAT_ID
-            (expert_idx0 % p.ne11) * p.expert_stride_b0 +
-            expert_idx1 * p.expert_stride_b1 +
 #endif
-            batch_idx * p.batch_stride_b;
-    const uint d_offset =
+    b_offset =
 #ifdef MUL_MAT_ID
-            expert_idx0 * p.expert_stride_b0 +
-            expert_idx1 * p.expert_stride_b1 +
+            (expert_idx % p.ne11) * p.stride_b;
+#else
+            batch_idx * p.batch_stride_b;
 #endif
+    d_offset =
+#ifdef MUL_MAT_ID
+            expert_idx * p.stride_d;
+#else
             batch_idx * p.batch_stride_d;
+#endif
+}
+"""
+
+mul_mat_vec_body = """
+layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in;
+
+layout (constant_id = 0) const uint BLOCK_SIZE = 32;
+
+shared FLOAT_TYPE tmp[BLOCK_SIZE];
+
+void main() {
+    const uint row = gl_WorkGroupID.x;
+    const uint tid = gl_LocalInvocationID.x;
+
+    uint a_offset, b_offset, d_offset;
+    get_offsets(a_offset, b_offset, d_offset);
 
     const uint y_offset = QUANT_R == 1 ? 1 : QUANT_K/2;
 
@@ -1281,41 +1302,9 @@ shared FLOAT_TYPE tmp[32];
 
 void main() {
     const uint row = gl_WorkGroupID.x;
-    const uint batch_idx = gl_GlobalInvocationID.y;
-#ifdef MUL_MAT_ID
-    const uint expert_idx1 = gl_GlobalInvocationID.z / p.nei0;
-    const uint expert_idx0 = gl_GlobalInvocationID.z % p.nei0;
-#endif
-
-    const uint i13 = batch_idx / p.ne12;
-    const uint i12 = batch_idx % p.ne12;
-
-    const uint i03 = i13 / p.broadcast3;
-    const uint i02 = i12 / p.broadcast2;
-
-    const uint batch_idx_a = i03 * p.ne02 + i02;
 
-#ifdef MUL_MAT_ID
-    const uint expert_id = data_ids[expert_idx1 * p.nbi1 + expert_idx0];
-#endif
-
-    const uint a_offset =
-#ifdef MUL_MAT_ID
-            expert_id * p.expert_stride_a +
-#endif
-            batch_idx_a * p.batch_stride_a;
-    const uint b_offset =
-#ifdef MUL_MAT_ID
-            (expert_idx0 % p.ne11) * p.expert_stride_b0 +
-            expert_idx1 * p.expert_stride_b1 +
-#endif
-            batch_idx * p.batch_stride_b;
-    const uint d_offset =
-#ifdef MUL_MAT_ID
-            expert_idx0 * p.expert_stride_b0 +
-            expert_idx1 * p.expert_stride_b1 +
-#endif
-            batch_idx * p.batch_stride_d;
+    uint a_offset, b_offset, d_offset;
+    get_offsets(a_offset, b_offset, d_offset);
 
     const uint num_blocks_per_row = p.ncols / QUANT_K;
     const uint ib0 = a_offset / QUANT_K + row*num_blocks_per_row;
@@ -1384,41 +1373,9 @@ shared FLOAT_TYPE tmp[32];
 
 void main() {
     const uint row = gl_WorkGroupID.x;
-    const uint batch_idx = gl_GlobalInvocationID.y;
-#ifdef MUL_MAT_ID
-    const uint expert_idx1 = gl_GlobalInvocationID.z / p.nei0;
-    const uint expert_idx0 = gl_GlobalInvocationID.z % p.nei0;
-#endif
 
-    const uint i13 = batch_idx / p.ne12;
-    const uint i12 = batch_idx % p.ne12;
-
-    const uint i03 = i13 / p.broadcast3;
-    const uint i02 = i12 / p.broadcast2;
-
-    const uint batch_idx_a = i03 * p.ne02 + i02;
-
-#ifdef MUL_MAT_ID
-    const uint expert_id = data_ids[expert_idx1 * p.nbi1 + expert_idx0];
-#endif
-
-    const uint a_offset =
-#ifdef MUL_MAT_ID
-            expert_id * p.expert_stride_a +
-#endif
-            batch_idx_a * p.batch_stride_a;
-    const uint b_offset =
-#ifdef MUL_MAT_ID
-            (expert_idx0 % p.ne11) * p.expert_stride_b0 +
-            expert_idx1 * p.expert_stride_b1 +
-#endif
-            batch_idx * p.batch_stride_b;
-    const uint d_offset =
-#ifdef MUL_MAT_ID
-            expert_idx0 * p.expert_stride_b0 +
-            expert_idx1 * p.expert_stride_b1 +
-#endif
-            batch_idx * p.batch_stride_d;
+    uint a_offset, b_offset, d_offset;
+    get_offsets(a_offset, b_offset, d_offset);
 
     const uint num_blocks_per_row = p.ncols / QUANT_K;
     const uint ib0 = a_offset / QUANT_K + row*num_blocks_per_row;
@@ -1480,41 +1437,9 @@ shared FLOAT_TYPE tmp[32];
 
 void main() {
     const uint row = gl_WorkGroupID.x;
-    const uint batch_idx = gl_GlobalInvocationID.y;
-#ifdef MUL_MAT_ID
-    const uint expert_idx1 = gl_GlobalInvocationID.z / p.nei0;
-    const uint expert_idx0 = gl_GlobalInvocationID.z % p.nei0;
-#endif
-
-    const uint i13 = batch_idx / p.ne12;
-    const uint i12 = batch_idx % p.ne12;
 
-    const uint i03 = i13 / p.broadcast3;
-    const uint i02 = i12 / p.broadcast2;
-
-    const uint batch_idx_a = i03 * p.ne02 + i02;
-
-#ifdef MUL_MAT_ID
-    const uint expert_id = data_ids[expert_idx1 * p.nbi1 + expert_idx0];
-#endif
-
-    const uint a_offset =
-#ifdef MUL_MAT_ID
-            expert_id * p.expert_stride_a +
-#endif
-            batch_idx_a * p.batch_stride_a;
-    const uint b_offset =
-#ifdef MUL_MAT_ID
-            (expert_idx0 % p.ne11) * p.expert_stride_b0 +
-            expert_idx1 * p.expert_stride_b1 +
-#endif
-            batch_idx * p.batch_stride_b;
-    const uint d_offset =
-#ifdef MUL_MAT_ID
-            expert_idx0 * p.expert_stride_b0 +
-            expert_idx1 * p.expert_stride_b1 +
-#endif
-            batch_idx * p.batch_stride_d;
+    uint a_offset, b_offset, d_offset;
+    get_offsets(a_offset, b_offset, d_offset);
 
     const uint num_blocks_per_row = p.ncols / QUANT_K;
     const uint ib0 = a_offset / QUANT_K + row*num_blocks_per_row;
@@ -1625,41 +1550,9 @@ shared FLOAT_TYPE tmp[32];
 
 void main() {
     const uint row = gl_WorkGroupID.x;
-    const uint batch_idx = gl_GlobalInvocationID.y;
-#ifdef MUL_MAT_ID
-    const uint expert_idx1 = gl_GlobalInvocationID.z / p.nei0;
-    const uint expert_idx0 = gl_GlobalInvocationID.z % p.nei0;
-#endif
-
-    const uint i13 = batch_idx / p.ne12;
-    const uint i12 = batch_idx % p.ne12;
-
-    const uint i03 = i13 / p.broadcast3;
-    const uint i02 = i12 / p.broadcast2;
 
-    const uint batch_idx_a = i03 * p.ne02 + i02;
-
-#ifdef MUL_MAT_ID
-    const uint expert_id = data_ids[expert_idx1 * p.nbi1 + expert_idx0];
-#endif
-
-    const uint a_offset =
-#ifdef MUL_MAT_ID
-            expert_id * p.expert_stride_a +
-#endif
-            batch_idx_a * p.batch_stride_a;
-    const uint b_offset =
-#ifdef MUL_MAT_ID
-            (expert_idx0 % p.ne11) * p.expert_stride_b0 +
-            expert_idx1 * p.expert_stride_b1 +
-#endif
-            batch_idx * p.batch_stride_b;
-    const uint d_offset =
-#ifdef MUL_MAT_ID
-            expert_idx0 * p.expert_stride_b0 +
-            expert_idx1 * p.expert_stride_b1 +
-#endif
-            batch_idx * p.batch_stride_d;
+    uint a_offset, b_offset, d_offset;
+    get_offsets(a_offset, b_offset, d_offset);
 
     const uint num_blocks_per_row = p.ncols / QUANT_K;
     const uint ib0 = a_offset / QUANT_K + row*num_blocks_per_row;
@@ -1766,41 +1659,9 @@ shared FLOAT_TYPE tmp[32];
 
 void main() {
     const uint row = gl_WorkGroupID.x;
-    const uint batch_idx = gl_GlobalInvocationID.y;
-#ifdef MUL_MAT_ID
-    const uint expert_idx1 = gl_GlobalInvocationID.z / p.nei0;
-    const uint expert_idx0 = gl_GlobalInvocationID.z % p.nei0;
-#endif
 
-    const uint i13 = batch_idx / p.ne12;
-    const uint i12 = batch_idx % p.ne12;
-
-    const uint i03 = i13 / p.broadcast3;
-    const uint i02 = i12 / p.broadcast2;
-
-    const uint batch_idx_a = i03 * p.ne02 + i02;
-
-#ifdef MUL_MAT_ID
-    const uint expert_id = data_ids[expert_idx1 * p.nbi1 + expert_idx0];
-#endif
-
-    const uint a_offset =
-#ifdef MUL_MAT_ID
-            expert_id * p.expert_stride_a +
-#endif
-            batch_idx_a * p.batch_stride_a;
-    const uint b_offset =
-#ifdef MUL_MAT_ID
-            (expert_idx0 % p.ne11) * p.expert_stride_b0 +
-            expert_idx1 * p.expert_stride_b1 +
-#endif
-            batch_idx * p.batch_stride_b;
-    const uint d_offset =
-#ifdef MUL_MAT_ID
-            expert_idx0 * p.expert_stride_b0 +
-            expert_idx1 * p.expert_stride_b1 +
-#endif
-            batch_idx * p.batch_stride_d;
+    uint a_offset, b_offset, d_offset;
+    get_offsets(a_offset, b_offset, d_offset);
 
     const uint num_blocks_per_row = p.ncols / QUANT_K;
     const uint ib0 = a_offset / QUANT_K + row*num_blocks_per_row;
@@ -2143,12 +2004,18 @@ void main() {
 
 generic_binary_op_combined = f"{generic_binary_op_head}\n{generic_binary_op_layout}\n{generic_binary_op_funcs}\n{generic_binary_op_main}"
 
-# MUL F32
+# MUL
 mul_body = """
     data_d[p.d_offset + dst_idx(gl_GlobalInvocationID.x)] = D_TYPE(FLOAT_TYPE(data_a[src0_idx(gl_GlobalInvocationID.x)]) * FLOAT_TYPE(data_b[src1_idx(gl_GlobalInvocationID.x)]));
 }
 """
 
+# DIV
+div_body = """
+    data_d[p.d_offset + dst_idx(gl_GlobalInvocationID.x)] = D_TYPE(FLOAT_TYPE(data_a[src0_idx(gl_GlobalInvocationID.x)]) / FLOAT_TYPE(data_b[src1_idx(gl_GlobalInvocationID.x)]));
+}
+"""
+
 # ADD
 add_body = """
     data_d[p.d_offset + dst_idx(gl_GlobalInvocationID.x)] = D_TYPE(FLOAT_TYPE(data_a[src0_idx(gl_GlobalInvocationID.x)]) + FLOAT_TYPE(data_b[src1_idx(gl_GlobalInvocationID.x)]));
@@ -2759,6 +2626,41 @@ void main() {
 }
 """
 
+sum_rows_src = """
+#extension GL_EXT_control_flow_attributes : enable
+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 = 32;
+
+shared FLOAT_TYPE tmp[BLOCK_SIZE];
+
+void main() {
+    const uint row = gl_WorkGroupID.x;
+    const uint col = gl_LocalInvocationID.x;
+
+    tmp[col] = FLOAT_TYPE(0.0f);
+
+    for (uint i = col; i < p.KX; i += BLOCK_SIZE) {
+        tmp[col] += FLOAT_TYPE(data_a[row*p.KX + i]);
+    }
+
+    barrier();
+    [[unroll]] for (int s = int(BLOCK_SIZE) / 2; s > 0; s >>= 1) {
+        if (col < s) {
+            tmp[col] += tmp[col + s];
+        }
+        barrier();
+    }
+
+    if (col == 0) {
+        data_d[row] = D_TYPE(tmp[0]);
+    }
+}
+"""
+
 GLSLC = "glslc"
 
 VK_NUM_TYPES = 16
@@ -2940,66 +2842,66 @@ async def main():
         tasks.append(string_to_spv("matmul_q6_k_f32_aligned", "".join(stream), {"LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q6_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
 
         # MUL_MAT_ID
-        # stream.clear()
-        # stream.extend((mulmat_head, shader_float_type, mulmat_body1, mulmat_load_scalar, mulmat_body2))
-        # tasks.append(string_to_spv("matmul_id_f32", "".join(stream), {"MUL_MAT_ID": "1", "A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
-        # tasks.append(string_to_spv("matmul_id_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": load_vec, "LOAD_VEC_B": load_vec, "A_TYPE": vec_type, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
-
-        # tasks.append(string_to_spv("matmul_id_f16", "".join(stream), {"MUL_MAT_ID": "1", "A_TYPE": "float16_t", "B_TYPE": "float16_t", "D_TYPE": "float"}, fp16))
-        # tasks.append(string_to_spv("matmul_id_f16_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": load_vec, "LOAD_VEC_B": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type_f16, "D_TYPE": "float"}, fp16))
-
-        # tasks.append(string_to_spv("matmul_id_f16_f32", "".join(stream), {"MUL_MAT_ID": "1", "A_TYPE": "float16_t", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
-        # tasks.append(string_to_spv("matmul_id_f16_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": load_vec, "LOAD_VEC_B": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
-
-        # stream.clear()
-        # stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q4_0_defines, mulmat_body1, mulmat_load_q4_0, mulmat_body2))
-        # tasks.append(string_to_spv("matmul_id_q4_0_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q4_0", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
-        # tasks.append(string_to_spv("matmul_id_q4_0_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q4_0", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
-
-        # stream.clear()
-        # stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q4_1_defines, mulmat_body1, mulmat_load_q4_1, mulmat_body2))
-        # tasks.append(string_to_spv("matmul_id_q4_1_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q4_1", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
-        # tasks.append(string_to_spv("matmul_id_q4_1_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q4_1", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
-
-        # stream.clear()
-        # stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q5_0_defines, mulmat_body1, mulmat_load_q5_0, mulmat_body2))
-        # tasks.append(string_to_spv("matmul_id_q5_0_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q5_0", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
-        # tasks.append(string_to_spv("matmul_id_q5_0_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q5_0", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
-
-        # stream.clear()
-        # stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q5_1_defines, mulmat_body1, mulmat_load_q5_1, mulmat_body2))
-        # tasks.append(string_to_spv("matmul_id_q5_1_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q5_1", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
-        # tasks.append(string_to_spv("matmul_id_q5_1_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q5_1", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
-
-        # stream.clear()
-        # stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q8_0_defines, mulmat_body1, mulmat_load_q8_0, mulmat_body2))
-        # tasks.append(string_to_spv("matmul_id_q8_0_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q8_0", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
-        # tasks.append(string_to_spv("matmul_id_q8_0_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q8_0", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
-
-        # stream.clear()
-        # stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q2_K_defines, mulmat_body1, mulmat_load_q2_K, mulmat_body2))
-        # tasks.append(string_to_spv("matmul_id_q2_k_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q2_K", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
-        # tasks.append(string_to_spv("matmul_id_q2_k_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q2_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
-
-        # stream.clear()
-        # stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q3_K_defines, mulmat_body1, mulmat_load_q3_K, mulmat_body2))
-        # tasks.append(string_to_spv("matmul_id_q3_k_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q3_K", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
-        # tasks.append(string_to_spv("matmul_id_q3_k_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q3_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
-
-        # stream.clear()
-        # stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q4_K_defines, mulmat_body1, mulmat_load_q4_K, mulmat_body2))
-        # tasks.append(string_to_spv("matmul_id_q4_k_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q4_K", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
-        # tasks.append(string_to_spv("matmul_id_q4_k_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q4_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
-
-        # stream.clear()
-        # stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q5_K_defines, mulmat_body1, mulmat_load_q5_K, mulmat_body2))
-        # tasks.append(string_to_spv("matmul_id_q5_k_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q5_K", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
-        # tasks.append(string_to_spv("matmul_id_q5_k_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q5_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
-
-        # stream.clear()
-        # stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q6_K_defines, mulmat_body1, mulmat_load_q6_K, mulmat_body2))
-        # tasks.append(string_to_spv("matmul_id_q6_k_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q6_K", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
-        # tasks.append(string_to_spv("matmul_id_q6_k_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q6_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
+        stream.clear()
+        stream.extend((mulmat_head, shader_float_type, mulmat_body1, mulmat_load_scalar, mulmat_body2))
+        tasks.append(string_to_spv("matmul_id_f32", "".join(stream), {"MUL_MAT_ID": "1", "A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
+        tasks.append(string_to_spv("matmul_id_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": load_vec, "LOAD_VEC_B": load_vec, "A_TYPE": vec_type, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
+
+        tasks.append(string_to_spv("matmul_id_f16", "".join(stream), {"MUL_MAT_ID": "1", "A_TYPE": "float16_t", "B_TYPE": "float16_t", "D_TYPE": "float"}, fp16))
+        tasks.append(string_to_spv("matmul_id_f16_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": load_vec, "LOAD_VEC_B": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type_f16, "D_TYPE": "float"}, fp16))
+
+        tasks.append(string_to_spv("matmul_id_f16_f32", "".join(stream), {"MUL_MAT_ID": "1", "A_TYPE": "float16_t", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
+        tasks.append(string_to_spv("matmul_id_f16_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": load_vec, "LOAD_VEC_B": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
+
+        stream.clear()
+        stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q4_0_defines, mulmat_body1, mulmat_load_q4_0, mulmat_body2))
+        tasks.append(string_to_spv("matmul_id_q4_0_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q4_0", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
+        tasks.append(string_to_spv("matmul_id_q4_0_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q4_0", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
+
+        stream.clear()
+        stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q4_1_defines, mulmat_body1, mulmat_load_q4_1, mulmat_body2))
+        tasks.append(string_to_spv("matmul_id_q4_1_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q4_1", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
+        tasks.append(string_to_spv("matmul_id_q4_1_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q4_1", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
+
+        stream.clear()
+        stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q5_0_defines, mulmat_body1, mulmat_load_q5_0, mulmat_body2))
+        tasks.append(string_to_spv("matmul_id_q5_0_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q5_0", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
+        tasks.append(string_to_spv("matmul_id_q5_0_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q5_0", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
+
+        stream.clear()
+        stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q5_1_defines, mulmat_body1, mulmat_load_q5_1, mulmat_body2))
+        tasks.append(string_to_spv("matmul_id_q5_1_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q5_1", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
+        tasks.append(string_to_spv("matmul_id_q5_1_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q5_1", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
+
+        stream.clear()
+        stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q8_0_defines, mulmat_body1, mulmat_load_q8_0, mulmat_body2))
+        tasks.append(string_to_spv("matmul_id_q8_0_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q8_0", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
+        tasks.append(string_to_spv("matmul_id_q8_0_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q8_0", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
+
+        stream.clear()
+        stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q2_K_defines, mulmat_body1, mulmat_load_q2_K, mulmat_body2))
+        tasks.append(string_to_spv("matmul_id_q2_k_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q2_K", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
+        tasks.append(string_to_spv("matmul_id_q2_k_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q2_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
+
+        stream.clear()
+        stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q3_K_defines, mulmat_body1, mulmat_load_q3_K, mulmat_body2))
+        tasks.append(string_to_spv("matmul_id_q3_k_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q3_K", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
+        tasks.append(string_to_spv("matmul_id_q3_k_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q3_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
+
+        stream.clear()
+        stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q4_K_defines, mulmat_body1, mulmat_load_q4_K, mulmat_body2))
+        tasks.append(string_to_spv("matmul_id_q4_k_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q4_K", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
+        tasks.append(string_to_spv("matmul_id_q4_k_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q4_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
+
+        stream.clear()
+        stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q5_K_defines, mulmat_body1, mulmat_load_q5_K, mulmat_body2))
+        tasks.append(string_to_spv("matmul_id_q5_k_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q5_K", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
+        tasks.append(string_to_spv("matmul_id_q5_k_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q5_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
+
+        stream.clear()
+        stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q6_K_defines, mulmat_body1, mulmat_load_q6_K, mulmat_body2))
+        tasks.append(string_to_spv("matmul_id_q6_k_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q6_K", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
+        tasks.append(string_to_spv("matmul_id_q6_k_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q6_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
 
     # Shaders where precision is needed, so no fp16 version
 
@@ -3008,7 +2910,9 @@ async def main():
         stream.clear()
         stream.extend((mul_mat_vec_head, shader_int8_ext, shader_f32))
 
-        if i == GGML_TYPE_F16:
+        if i == GGML_TYPE_F32:
+            stream.extend((shader_f32_defines, mul_mat_vec_layout, shader_float_dequant_func, mul_mat_vec_body))
+        elif i == GGML_TYPE_F16:
             stream.extend((shader_f16_defines, mul_mat_vec_layout, shader_float_dequant_func, mul_mat_vec_body))
         elif i == GGML_TYPE_Q4_0:
             stream.extend((shader_q4_0_defines, mul_mat_vec_layout, shader_q4_0_dequant_func, mul_mat_vec_body))
@@ -3036,7 +2940,7 @@ async def main():
         tasks.append(string_to_spv(f"mul_mat_vec_{type_names[i]}_f32_f32", "".join(stream), {"B_TYPE": "float", "D_TYPE": "float", "K_QUANTS_PER_ITERATION": K_QUANTS_PER_ITERATION}))
         tasks.append(string_to_spv(f"mul_mat_vec_{type_names[i]}_f16_f32", "".join(stream), {"B_TYPE": "float16_t", "D_TYPE": "float", "K_QUANTS_PER_ITERATION": K_QUANTS_PER_ITERATION}))
 
-        # tasks.append(string_to_spv(f"mul_mat_vec_id_{type_names[i]}_f32", "".join(stream), {"MUL_MAT_ID": "1", "B_TYPE": "float", "D_TYPE": "float", "K_QUANTS_PER_ITERATION": K_QUANTS_PER_ITERATION}))
+        tasks.append(string_to_spv(f"mul_mat_vec_id_{type_names[i]}_f32", "".join(stream), {"MUL_MAT_ID": "1", "B_TYPE": "float", "D_TYPE": "float", "K_QUANTS_PER_ITERATION": K_QUANTS_PER_ITERATION}))
 
     # Dequant shaders
     for i in range(0, VK_NUM_TYPES):
@@ -3115,8 +3019,11 @@ async def main():
     tasks.append(string_to_spv("add_f32", f"{generic_binary_op_combined}\n{add_body}", {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float", "FLOAT_TYPE": "float"}))
 
     tasks.append(string_to_spv("split_k_reduce", mulmat_split_k_reduce_src, {}))
+
     tasks.append(string_to_spv("mul_f32", f"{generic_binary_op_combined}\n{mul_body}", {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float", "FLOAT_TYPE": "float"}))
 
+    tasks.append(string_to_spv("div_f32", f"{generic_binary_op_combined}\n{div_body}", {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float", "FLOAT_TYPE": "float"}))
+
     tasks.append(string_to_spv("scale_f32", f"{generic_unary_op_combined}\n{scale_body}", {"A_TYPE": "float", "D_TYPE": "float", "FLOAT_TYPE": "float"}))
 
     tasks.append(string_to_spv("sqr_f32", f"{generic_unary_op_combined}\n{sqr_body}", {"A_TYPE": "float", "D_TYPE": "float", "FLOAT_TYPE": "float"}))
@@ -3140,6 +3047,8 @@ async def main():
 
     tasks.append(string_to_spv("argsort_f32", argsort_src, {"A_TYPE": "float"}))
 
+    tasks.append(string_to_spv("sum_rows_f32", f"{generic_head}\n{shader_f32}\n{sum_rows_src}", {"A_TYPE": "float", "D_TYPE": "float"}))
+
     # Helper to decorate tasks with semaphore acquisition.
     async def withSemaphore(sem, task):
         async with sem:

+ 1 - 1
llama.cpp

@@ -16372,7 +16372,7 @@ struct llama_context * llama_new_context_with_model(
             return nullptr;
         }
         if (model->split_mode == LLAMA_SPLIT_MODE_NONE) {
-            ggml_backend_t backend = ggml_backend_vk_init(0);
+            ggml_backend_t backend = ggml_backend_vk_init(model->main_gpu);
             if (backend == nullptr) {
                 LLAMA_LOG_ERROR("%s: failed to initialize Vulkan backend\n", __func__);
                 llama_free(ctx);

Unele fișiere nu au fost afișate deoarece prea multe fișiere au fost modificate în acest diff