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8 Commits

Author SHA1 Message Date
Ruben Ortlam 8a132faaa0 vulkan: unify type macros to use Vx instead of _VECx (#21605) 2026-04-09 07:31:51 +02:00
Adrien Gallouët 4293919068 common : skip non-primary GGUF split files when selecting model (#21633)
We should not assume files are listed in order.

Signed-off-by: Adrien Gallouët <angt@huggingface.co>
2026-04-09 07:28:06 +02:00
Aman Gupta d12cc3d1ca CUDA: also store node->src->data ptrs for equality check (#21635)
* CUDA: also store node->src->data ptrs for equality check

* address review comments
2026-04-09 01:01:56 +08:00
RealOrko 2dcb7f74ed fix: free ctx_copy in ggml_opt_free to plug per-training-session leak (#21592)
* fix: free ctx_copy in ggml_opt_free to plug per-training-session leak

ggml_opt_alloc populates opt_ctx->ctx_copy via a free+init pair every
time the allocated graph shape changes. The last ctx_copy from the
final ggml_opt_alloc call survives until ggml_opt_free is invoked,
but ggml_opt_free was only freeing ctx_static and ctx_cpu, never
ctx_copy. Each opt_ctx lifetime therefore leaks the final per-batch
context — ~900 KB for a typical GNN training session in
sindarin-pkg-tensor, surfaced via AddressSanitizer.

ctx_copy is nullptr-initialized and ggml_free() handles NULL safely,
so the new release is guard-free.

* Update ggml/src/ggml-opt.cpp

Co-authored-by: Johannes Gäßler <johannesg@5d6.de>

---------

Co-authored-by: realorko <realorko@nowhere.com>
Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
2026-04-08 17:40:15 +02:00
Yuri Khrustalev 660600081f server: respect the ignore eos flag (#21203) 2026-04-08 17:12:15 +02:00
Aldehir Rojas d9a12c82f0 vocab : remove </s> eog token if gemma4 (#21492) 2026-04-08 09:53:06 -05:00
Georgi Gerganov 4a05e0c566 webui : send both backend_sampling == false/true (#18781)
* webui : send both backend_sampling == false/true

* feat: Parameter sync

---------

Co-authored-by: Aleksander Grygier <aleksander.grygier@gmail.com>
2026-04-08 16:35:52 +02:00
John Eismeier e9fd96283d Propose fix a couple of typos (#21581)
Signed-off-by: John E <jeis4wpi@outlook.com>
2026-04-08 16:29:03 +02:00
26 changed files with 308 additions and 202 deletions
+11 -1
View File
@@ -591,6 +591,10 @@ static hf_cache::hf_file find_best_model(const hf_cache::hf_files & files,
for (const auto & f : files) {
if (gguf_filename_is_model(f.path) &&
std::regex_search(f.path, pattern)) {
auto split = get_gguf_split_info(f.path);
if (split.count > 1 && split.index != 1) {
continue;
}
return f;
}
}
@@ -600,6 +604,10 @@ static hf_cache::hf_file find_best_model(const hf_cache::hf_files & files,
if (tag.empty()) {
for (const auto & f : files) {
if (gguf_filename_is_model(f.path)) {
auto split = get_gguf_split_info(f.path);
if (split.count > 1 && split.index != 1) {
continue;
}
return f;
}
}
@@ -618,6 +626,7 @@ static void list_available_gguf_files(const hf_cache::hf_files & files) {
}
struct hf_plan {
hf_cache::hf_file primary;
hf_cache::hf_files model_files;
hf_cache::hf_file mmproj;
};
@@ -663,6 +672,7 @@ static hf_plan get_hf_plan(const common_params_model & model,
}
}
plan.primary = primary;
plan.model_files = get_split_files(all, primary);
if (opts.download_mmproj) {
@@ -749,7 +759,7 @@ common_download_model_result common_download_model(const common_params_model
for (const auto & f : hf.model_files) {
hf_cache::finalize_file(f);
}
result.model_path = hf.model_files[0].final_path;
result.model_path = hf.primary.final_path;
if (!hf.mmproj.path.empty()) {
result.mmproj_path = hf_cache::finalize_file(hf.mmproj);
+5 -1
View File
@@ -1173,7 +1173,11 @@ struct ggml_cuda_graph {
std::vector<cudaGraphNode_t> nodes;
bool disable_due_to_gpu_arch = false;
bool warmup_complete = false;
std::vector<ggml_tensor> nodes_copy;
struct node_properties {
ggml_tensor node;
void * node_src_data_ptrs[GGML_MAX_SRC];
};
std::vector<node_properties> node_props;
bool is_enabled() const {
static const bool disable_cuda_graphs_due_to_env = (getenv("GGML_CUDA_DISABLE_GRAPHS") != nullptr);
+14 -7
View File
@@ -2979,18 +2979,25 @@ static bool ggml_cuda_graph_update_required(ggml_backend_cuda_context * cuda_ctx
ggml_cuda_graph * graph = cuda_ctx->cuda_graph(graph_key);
// Check if the graph size has changed
if ((int)graph->nodes_copy.size() != cgraph->n_nodes) {
if ((int)graph->node_props.size() != cgraph->n_nodes) {
res = true;
graph->nodes_copy.resize(cgraph->n_nodes);
graph->node_props.resize(cgraph->n_nodes);
}
for (int i = 0; i < cgraph->n_nodes; i++) {
if (!res) {
if (memcmp(&graph->nodes_copy[i], cgraph->nodes[i], sizeof(ggml_tensor)) != 0) {
res = true;
}
ggml_cuda_graph::node_properties prop = {};
memcpy(&prop.node, cgraph->nodes[i], sizeof(ggml_tensor));
// if the backend scheduler is making copies of CPU tensors, the src pointers can be the same but with different data, see:
// https://github.com/ggml-org/llama.cpp/pull/21472#discussion_r3052235188
for (int j = 0; j < GGML_MAX_SRC; ++j) {
prop.node_src_data_ptrs[j] = cgraph->nodes[i]->src[j] ? cgraph->nodes[i]->src[j]->data : nullptr;
}
memcpy(&graph->nodes_copy[i], cgraph->nodes[i], sizeof(ggml_tensor));
if (!res && memcmp(&graph->node_props[i], &prop, sizeof(prop)) != 0) {
res = true;
}
graph->node_props[i] = prop;
}
return res;
+1
View File
@@ -589,6 +589,7 @@ void ggml_opt_free(ggml_opt_context_t opt_ctx) {
ggml_backend_buffer_free(opt_ctx->buf_cpu);
ggml_free(opt_ctx->ctx_static);
ggml_free(opt_ctx->ctx_cpu);
ggml_free(opt_ctx->ctx_copy);
delete opt_ctx;
}
@@ -6,8 +6,8 @@
#define MAT_VEC_FUSION_FLAGS_SCALE1 0x8
layout (binding = 0) readonly buffer A {A_TYPE data_a[];};
#if defined(A_TYPE_VEC4)
layout (binding = 0) readonly buffer AV4 {A_TYPE_VEC4 data_a_v4[];};
#if defined(A_TYPEV4)
layout (binding = 0) readonly buffer AV4 {A_TYPEV4 data_a_v4[];};
#endif
#if defined(A_TYPE_PACKED16)
layout (binding = 0) readonly buffer A_PACKED16 {A_TYPE_PACKED16 data_a_packed16[];};
@@ -17,11 +17,11 @@ layout (binding = 0) readonly buffer A_PACKED32 {A_TYPE_PACKED32 data_a_packed32
#endif
layout (binding = 1) readonly buffer B {B_TYPE data_b[];};
#ifdef B_TYPE_VEC2
layout (binding = 1) readonly buffer BV2 {B_TYPE_VEC2 data_b_v2[];};
#ifdef B_TYPEV2
layout (binding = 1) readonly buffer BV2 {B_TYPEV2 data_b_v2[];};
#endif
#ifdef B_TYPE_VEC4
layout (binding = 1) readonly buffer BV4 {B_TYPE_VEC4 data_b_v4[];};
#ifdef B_TYPEV4
layout (binding = 1) readonly buffer BV4 {B_TYPEV4 data_b_v4[];};
#endif
layout (binding = 2) writeonly buffer D {D_TYPE data_d[];};
@@ -41,7 +41,7 @@ void calc_superblock(const uint a_offset, const uint b_offset, const uint itid,
const vec4 qs_u32_4 = vec4(unpack8((qs_u32 >> 4) & 0x03030303));
const vec4 qs_u32_6 = vec4(unpack8((qs_u32 >> 6) & 0x03030303));
const FLOAT_TYPE_VEC2 dm = vec2(data_a[ib0 + i].dm);
const FLOAT_TYPEV2 dm = vec2(data_a[ib0 + i].dm);
[[unroll]] for (uint j = 0; j < NUM_COLS; ++j) {
vec2 b0 = vec2(data_b_v2[(j*p.batch_stride_b + b_offset + y_idx) / 2 + 0]);
@@ -14,7 +14,7 @@ void calc_superblock(const uint a_offset, const uint b_offset, const uint v_im,
[[unroll]] for (uint n = 0; n < num_rows; ++n) {
const uint ib0 = a_offset + (first_row+n)*num_blocks_per_row;
const FLOAT_TYPE_VEC2 dm = FLOAT_TYPE_VEC2(data_a[ib0 + i].dm);
const FLOAT_TYPEV2 dm = FLOAT_TYPEV2(data_a[ib0 + i].dm);
const uint32_t scale0_u32 = data_a_packed16[ib0 + i].scales[v_im ];
const uint32_t scale4_u32 = data_a_packed16[ib0 + i].scales[v_im + 2];
@@ -14,7 +14,7 @@ void calc_superblock(const uint a_offset, const uint b_offset, const uint v_im,
[[unroll]] for (uint n = 0; n < num_rows; ++n) {
const uint ib0 = a_offset + (first_row+n)*num_blocks_per_row;
const FLOAT_TYPE_VEC2 dm = FLOAT_TYPE_VEC2(data_a[ib0 + i].dm);
const FLOAT_TYPEV2 dm = FLOAT_TYPEV2(data_a[ib0 + i].dm);
const uint32_t scale0_u32 = data_a_packed16[ib0 + i].scales[v_im ];
const uint32_t scale4_u32 = data_a_packed16[ib0 + i].scales[v_im + 2];
@@ -11,8 +11,8 @@ FLOAT_TYPE get_dm(uint ib) {
#endif
#if defined(DATA_A_Q4_1) || defined(DATA_A_Q5_1)
FLOAT_TYPE_VEC2 get_dm(uint ib) {
return FLOAT_TYPE_VEC2(data_a_packed32[ib].dm);
FLOAT_TYPEV2 get_dm(uint ib) {
return FLOAT_TYPEV2(data_a_packed32[ib].dm);
}
#endif
@@ -23,9 +23,9 @@ FLOAT_TYPE get_dm(uint ib) {
#endif
#if defined(DATA_A_Q2_K)
FLOAT_TYPE_VEC2 get_dm(uint ib) {
FLOAT_TYPEV2 get_dm(uint ib) {
const uint ib_k = ib / 8;
return FLOAT_TYPE_VEC2(data_a_packed32[ib_k].dm);
return FLOAT_TYPEV2(data_a_packed32[ib_k].dm);
}
#endif
@@ -304,7 +304,7 @@ vec2 get_dm_scale(uint ib, uint iqs) {
(data_a[ib_k].scales[is+4] >> 4) | ((data_a[ib_k].scales[is ] & 0xC0) >> 2));
}
return FLOAT_TYPE_VEC2(data_a_packed32[ib_k].dm) * FLOAT_TYPE_VEC2(scale_dm);
return FLOAT_TYPEV2(data_a_packed32[ib_k].dm) * FLOAT_TYPEV2(scale_dm);
}
FLOAT_TYPE mmvq_dot_product(const uint ib_a, const uint iqs) {
@@ -422,7 +422,7 @@ vec2 get_dm(uint ib, uint iqs) {
const float dl = d * float(2 * bitfieldExtract(qh, 12, 3) + 1);
// the -1 cancels out the bias in iq1s_grid_gpu
return FLOAT_TYPE_VEC2(dl, dl * (delta - 1));
return FLOAT_TYPEV2(dl, dl * (delta - 1));
}
FLOAT_TYPE mmvq_dot_product(const uint ib_a, const uint iqs) {
@@ -125,8 +125,8 @@ layout (constant_id = 3) const uint BK = 16; // Assumed to be 32 if working wit
#define SHMEM_STRIDE (BK / 2 + 1)
#endif
shared FLOAT_TYPE_VEC2 buf_a[BM * SHMEM_STRIDE];
shared FLOAT_TYPE_VEC2 buf_b[BN * SHMEM_STRIDE];
shared FLOAT_TYPEV2 buf_a[BM * SHMEM_STRIDE];
shared FLOAT_TYPEV2 buf_b[BN * SHMEM_STRIDE];
#define NUM_WARPS (BLOCK_SIZE / WARP)
@@ -258,17 +258,17 @@ void main() {
sums[i] = coopmat<ACC_TYPE, gl_ScopeSubgroup, TM, TN, gl_MatrixUseAccumulator>(0.0f);
}
#else
ACC_TYPE_VEC2 sums[WMITER * TM * WNITER * TN/2];
ACC_TYPEV2 sums[WMITER * TM * WNITER * TN/2];
#if defined(DATA_A_F32) || defined(DATA_A_F16)
FLOAT_TYPE_VEC4 cache_a[WMITER * TM];
FLOAT_TYPE_VEC4 cache_b;
FLOAT_TYPEV4 cache_a[WMITER * TM];
FLOAT_TYPEV4 cache_b;
#else
FLOAT_TYPE_VEC2 cache_a[WMITER * TM];
FLOAT_TYPE_VEC2 cache_b;
FLOAT_TYPEV2 cache_a[WMITER * TM];
FLOAT_TYPEV2 cache_b;
#endif
[[unroll]] for (uint i = 0; i < WMITER*TM*WNITER*TN/2; i++) {
sums[i] = ACC_TYPE_VEC2(0.0f, 0.0f);
sums[i] = ACC_TYPEV2(0.0f, 0.0f);
}
#endif
@@ -3,7 +3,7 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
#if LOAD_VEC_A == 8
const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
FLOAT_TYPE_VEC8 aa = FLOAT_TYPE_VEC8(data_a[idx]);
FLOAT_TYPEV8 aa = FLOAT_TYPEV8(data_a[idx]);
buf_a[buf_idx ] = aa[0].xy;
buf_a[buf_idx + 1] = aa[0].zw;
buf_a[buf_idx + 2] = aa[1].xy;
@@ -11,38 +11,38 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
#elif LOAD_VEC_A == 4
const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
FLOAT_TYPE_VEC4 aa = FLOAT_TYPE_VEC4(data_a[idx]);
FLOAT_TYPEV4 aa = FLOAT_TYPEV4(data_a[idx]);
buf_a[buf_idx ] = aa.xy;
buf_a[buf_idx + 1] = aa.zw;
#else // LOAD_VEC_BATCH_A == 2
const uint idx = pos_a + col * p.stride_a + row * 2;
const uint buf_idx = col * SHMEM_STRIDE + row;
if (idx_m < p.M && block + row * 2 + 1 < end_k) {
buf_a[buf_idx] = FLOAT_TYPE_VEC2(data_a[idx],
data_a[idx + 1]);
buf_a[buf_idx] = FLOAT_TYPEV2(data_a[idx],
data_a[idx + 1]);
} else if (idx_m < p.M && block + row * 2 < end_k) {
buf_a[buf_idx] = FLOAT_TYPE_VEC2(data_a[idx], 0.0f);
buf_a[buf_idx] = FLOAT_TYPEV2(data_a[idx], 0.0f);
} else {
buf_a[buf_idx] = FLOAT_TYPE_VEC2(0.0f);
buf_a[buf_idx] = FLOAT_TYPEV2(0.0f);
}
#endif
#elif defined(DATA_A_BF16)
#if LOAD_VEC_A == 4
const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
FLOAT_TYPE_VEC4 aa = FLOAT_TYPE_VEC4(TO_FLOAT_TYPE(data_a[idx]));
FLOAT_TYPEV4 aa = FLOAT_TYPEV4(TO_FLOAT_TYPE(data_a[idx]));
buf_a[buf_idx ] = aa.xy;
buf_a[buf_idx + 1] = aa.zw;
#else // LOAD_VEC_BATCH_A == 2
const uint idx = pos_a + col * p.stride_a + row * 2;
const uint buf_idx = col * SHMEM_STRIDE + row;
if (idx_m < p.M && block + row * 2 + 1 < end_k) {
buf_a[buf_idx] = FLOAT_TYPE_VEC2(TO_FLOAT_TYPE(data_a[idx]),
TO_FLOAT_TYPE(data_a[idx + 1]));
buf_a[buf_idx] = FLOAT_TYPEV2(TO_FLOAT_TYPE(data_a[idx]),
TO_FLOAT_TYPE(data_a[idx + 1]));
} else if (idx_m < p.M && block + row * 2 < end_k) {
buf_a[buf_idx] = FLOAT_TYPE_VEC2(TO_FLOAT_TYPE(data_a[idx]), 0.0f);
buf_a[buf_idx] = FLOAT_TYPEV2(TO_FLOAT_TYPE(data_a[idx]), 0.0f);
} else {
buf_a[buf_idx] = FLOAT_TYPE_VEC2(0.0f);
buf_a[buf_idx] = FLOAT_TYPEV2(0.0f);
}
#endif
#elif defined(DATA_A_Q4_0)
@@ -57,10 +57,10 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
const vec4 v0 = (vec4(unpack8(vui & 0x0F0F0F0F)) - 8.0f) * d;
const vec4 v1 = (vec4(unpack8((vui >> 4) & 0x0F0F0F0F)) - 8.0f) * d;
buf_a[buf_idx ] = FLOAT_TYPE_VEC2(v0.xy);
buf_a[buf_idx + 1] = FLOAT_TYPE_VEC2(v0.zw);
buf_a[buf_idx + 8] = FLOAT_TYPE_VEC2(v1.xy);
buf_a[buf_idx + 9] = FLOAT_TYPE_VEC2(v1.zw);
buf_a[buf_idx ] = FLOAT_TYPEV2(v0.xy);
buf_a[buf_idx + 1] = FLOAT_TYPEV2(v0.zw);
buf_a[buf_idx + 8] = FLOAT_TYPEV2(v1.xy);
buf_a[buf_idx + 9] = FLOAT_TYPEV2(v1.zw);
#elif defined(DATA_A_Q4_1)
const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 4;
@@ -73,10 +73,10 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
const vec4 v0 = vec4(unpack8(vui & 0x0F0F0F0F)) * dm.x + dm.y;
const vec4 v1 = vec4(unpack8((vui >> 4) & 0x0F0F0F0F)) * dm.x + dm.y;
buf_a[buf_idx ] = FLOAT_TYPE_VEC2(v0.xy);
buf_a[buf_idx + 1 ] = FLOAT_TYPE_VEC2(v0.zw);
buf_a[buf_idx + 8 ] = FLOAT_TYPE_VEC2(v1.xy);
buf_a[buf_idx + 9 ] = FLOAT_TYPE_VEC2(v1.zw);
buf_a[buf_idx ] = FLOAT_TYPEV2(v0.xy);
buf_a[buf_idx + 1 ] = FLOAT_TYPEV2(v0.zw);
buf_a[buf_idx + 8 ] = FLOAT_TYPEV2(v1.xy);
buf_a[buf_idx + 9 ] = FLOAT_TYPEV2(v1.zw);
#elif defined(DATA_A_Q5_0)
const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 4;
@@ -92,8 +92,8 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
const uint vui = uint(data_a_packed16[ib].qs[iqs]);
const vec4 v = (vec4((vui & 0xF) | qh0.x, ((vui >> 4) & 0xF) | qh0.y, ((vui >> 8) & 0xF) | qh1.x, (vui >> 12) | qh1.y) - 16.0f) * d;
buf_a[buf_idx ] = FLOAT_TYPE_VEC2(v.xz);
buf_a[buf_idx + 8] = FLOAT_TYPE_VEC2(v.yw);
buf_a[buf_idx ] = FLOAT_TYPEV2(v.xz);
buf_a[buf_idx + 8] = FLOAT_TYPEV2(v.yw);
#elif defined(DATA_A_Q5_1)
const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 4;
@@ -112,10 +112,10 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
const vec4 v0 = vec4((vui & 0xF) | qh0.x, ((vui >> 4) & 0xF) | qh0.y, ((vui >> 8) & 0xF) | qh1.x, ((vui >> 12) & 0xF) | qh1.y) * dm.x + dm.y;
const vec4 v1 = vec4(((vui >> 16) & 0xF) | qh2.x, ((vui >> 20) & 0xF) | qh2.y, ((vui >> 24) & 0xF) | qh3.x, ((vui >> 28) & 0xF) | qh3.y) * dm.x + dm.y;
buf_a[buf_idx ] = FLOAT_TYPE_VEC2(v0.xz);
buf_a[buf_idx + 1] = FLOAT_TYPE_VEC2(v1.xz);
buf_a[buf_idx + 8] = FLOAT_TYPE_VEC2(v0.yw);
buf_a[buf_idx + 9] = FLOAT_TYPE_VEC2(v1.yw);
buf_a[buf_idx ] = FLOAT_TYPEV2(v0.xz);
buf_a[buf_idx + 1] = FLOAT_TYPEV2(v1.xz);
buf_a[buf_idx + 8] = FLOAT_TYPEV2(v0.yw);
buf_a[buf_idx + 9] = FLOAT_TYPEV2(v1.yw);
#elif defined(DATA_A_Q8_0)
const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
@@ -128,8 +128,8 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
const i8vec2 v1 = unpack8(int32_t(data_a_packed16[ib].qs[2*iqs + 1])).xy;
const vec4 v = vec4(v0.x, v0.y, v1.x, v1.y) * d;
buf_a[buf_idx ] = FLOAT_TYPE_VEC2(v.xy);
buf_a[buf_idx + 1] = FLOAT_TYPE_VEC2(v.zw);
buf_a[buf_idx ] = FLOAT_TYPEV2(v.xy);
buf_a[buf_idx + 1] = FLOAT_TYPEV2(v.zw);
#elif defined(DATA_A_Q2_K)
const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
@@ -147,8 +147,8 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
const vec4 v = dm.x * float(scales & 0xF) * qs - dm.y * float(scales >> 4);
buf_a[buf_idx ] = FLOAT_TYPE_VEC2(v.xy);
buf_a[buf_idx + 1] = FLOAT_TYPE_VEC2(v.zw);
buf_a[buf_idx ] = FLOAT_TYPEV2(v.xy);
buf_a[buf_idx + 1] = FLOAT_TYPEV2(v.zw);
#elif defined(DATA_A_Q3_K)
const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
@@ -171,8 +171,8 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
const vec2 qs = vec2(unpack8((uint(data_a_packed16[ib].qs[qsi / 2]) >> qsshift) & 0x0303).xy);
const vec2 hm = vec2(unpack8(((uint(data_a_packed16[ib].hmask[hmi / 2]) >> (4 * n + halfsplit)) & 0x0101 ^ 0x0101) << 2).xy);
buf_a[buf_idx] = FLOAT_TYPE_VEC2(dl * (qs.x - hm.x),
dl * (qs.y - hm.y));
buf_a[buf_idx] = FLOAT_TYPEV2(dl * (qs.x - hm.x),
dl * (qs.y - hm.y));
#elif defined(DATA_A_Q4_K)
const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
@@ -206,8 +206,8 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
const vec4 q = vec4(unpack8((data_a_packed32[ib].qs[qsi / 4] >> (b * 4)) & 0x0F0F0F0F));
buf_a[buf_idx ] = FLOAT_TYPE_VEC2(fma(d, q.x, m), fma(d, q.y, m));
buf_a[buf_idx + 1] = FLOAT_TYPE_VEC2(fma(d, q.z, m), fma(d, q.w, m));
buf_a[buf_idx ] = FLOAT_TYPEV2(fma(d, q.x, m), fma(d, q.y, m));
buf_a[buf_idx + 1] = FLOAT_TYPEV2(fma(d, q.z, m), fma(d, q.w, m));
#elif defined(DATA_A_Q5_K)
const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
@@ -244,8 +244,8 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
const uint qh = ((data_a_packed32[ib].qh[qhi / 4] >> (iqs / 16)) & 0x01010101) << 4;
const vec4 q = vec4(unpack8(qs | qh));
buf_a[buf_idx ] = FLOAT_TYPE_VEC2(fma(d, q.x, m), fma(d, q.y, m));
buf_a[buf_idx + 1] = FLOAT_TYPE_VEC2(fma(d, q.z, m), fma(d, q.w, m));
buf_a[buf_idx ] = FLOAT_TYPEV2(fma(d, q.x, m), fma(d, q.y, m));
buf_a[buf_idx + 1] = FLOAT_TYPEV2(fma(d, q.z, m), fma(d, q.w, m));
#elif defined(DATA_A_Q6_K)
const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
@@ -267,7 +267,7 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
const uint qh = (uint(data_a_packed16[ib].qh[qhi]) >> qhshift) & 0x0303;
const vec2 q = (vec2(unpack8(ql | (qh << 4)).xy) - 32) * dscale;
buf_a[buf_idx] = FLOAT_TYPE_VEC2(q.x, q.y);
buf_a[buf_idx] = FLOAT_TYPEV2(q.x, q.y);
#elif defined(DATA_A_IQ1_S)
const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
@@ -284,8 +284,8 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
const int16_t grid = int16_t(iq1s_grid[qs | (bitfieldExtract(qh, 3 * int(ib8 & 3), 3) << 8)]);
[[unroll]] for (int k = 0; k < 4; ++k) {
buf_a[buf_idx + k] = FLOAT_TYPE_VEC2(dl * (bitfieldExtract(grid, 4 * k , 2) + delta),
dl * (bitfieldExtract(grid, 4 * k + 2, 2) + delta));
buf_a[buf_idx + k] = FLOAT_TYPEV2(dl * (bitfieldExtract(grid, 4 * k , 2) + delta),
dl * (bitfieldExtract(grid, 4 * k + 2, 2) + delta));
}
#elif defined(DATA_A_IQ1_M)
const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
@@ -306,8 +306,8 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
const int16_t grid = int16_t(iq1s_grid[qs | ((qh & 7) << 8)]);
[[unroll]] for (int k = 0; k < 4; ++k) {
buf_a[buf_idx + k] = FLOAT_TYPE_VEC2(dl * (bitfieldExtract(grid, 4 * k , 2) + delta),
dl * (bitfieldExtract(grid, 4 * k + 2, 2) + delta));
buf_a[buf_idx + k] = FLOAT_TYPEV2(dl * (bitfieldExtract(grid, 4 * k , 2) + delta),
dl * (bitfieldExtract(grid, 4 * k + 2, 2) + delta));
}
#elif defined(DATA_A_IQ2_XXS)
const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
@@ -332,14 +332,14 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
const vec4 grid0 = vec4(unpack8(grid.x));
const vec4 grid1 = vec4(unpack8(grid.y));
buf_a[buf_idx ] = db * FLOAT_TYPE_VEC2((sign & 1) != 0 ? -grid0.x : grid0.x,
(sign & 2) != 0 ? -grid0.y : grid0.y);
buf_a[buf_idx + 1] = db * FLOAT_TYPE_VEC2((sign & 4) != 0 ? -grid0.z : grid0.z,
(sign & 8) != 0 ? -grid0.w : grid0.w);
buf_a[buf_idx + 2] = db * FLOAT_TYPE_VEC2((sign & 16) != 0 ? -grid1.x : grid1.x,
(sign & 32) != 0 ? -grid1.y : grid1.y);
buf_a[buf_idx + 3] = db * FLOAT_TYPE_VEC2((sign & 64) != 0 ? -grid1.z : grid1.z,
(sign & 128) != 0 ? -grid1.w : grid1.w);
buf_a[buf_idx ] = db * FLOAT_TYPEV2((sign & 1) != 0 ? -grid0.x : grid0.x,
(sign & 2) != 0 ? -grid0.y : grid0.y);
buf_a[buf_idx + 1] = db * FLOAT_TYPEV2((sign & 4) != 0 ? -grid0.z : grid0.z,
(sign & 8) != 0 ? -grid0.w : grid0.w);
buf_a[buf_idx + 2] = db * FLOAT_TYPEV2((sign & 16) != 0 ? -grid1.x : grid1.x,
(sign & 32) != 0 ? -grid1.y : grid1.y);
buf_a[buf_idx + 3] = db * FLOAT_TYPEV2((sign & 64) != 0 ? -grid1.z : grid1.z,
(sign & 128) != 0 ? -grid1.w : grid1.w);
#elif defined(DATA_A_IQ2_XS)
const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
@@ -358,14 +358,14 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
const vec4 grid0 = vec4(unpack8(grid.x));
const vec4 grid1 = vec4(unpack8(grid.y));
buf_a[buf_idx ] = db * FLOAT_TYPE_VEC2((sign & 1) != 0 ? -grid0.x : grid0.x,
(sign & 2) != 0 ? -grid0.y : grid0.y);
buf_a[buf_idx + 1] = db * FLOAT_TYPE_VEC2((sign & 4) != 0 ? -grid0.z : grid0.z,
(sign & 8) != 0 ? -grid0.w : grid0.w);
buf_a[buf_idx + 2] = db * FLOAT_TYPE_VEC2((sign & 16) != 0 ? -grid1.x : grid1.x,
(sign & 32) != 0 ? -grid1.y : grid1.y);
buf_a[buf_idx + 3] = db * FLOAT_TYPE_VEC2((sign & 64) != 0 ? -grid1.z : grid1.z,
(sign & 128) != 0 ? -grid1.w : grid1.w);
buf_a[buf_idx ] = db * FLOAT_TYPEV2((sign & 1) != 0 ? -grid0.x : grid0.x,
(sign & 2) != 0 ? -grid0.y : grid0.y);
buf_a[buf_idx + 1] = db * FLOAT_TYPEV2((sign & 4) != 0 ? -grid0.z : grid0.z,
(sign & 8) != 0 ? -grid0.w : grid0.w);
buf_a[buf_idx + 2] = db * FLOAT_TYPEV2((sign & 16) != 0 ? -grid1.x : grid1.x,
(sign & 32) != 0 ? -grid1.y : grid1.y);
buf_a[buf_idx + 3] = db * FLOAT_TYPEV2((sign & 64) != 0 ? -grid1.z : grid1.z,
(sign & 128) != 0 ? -grid1.w : grid1.w);
#elif defined(DATA_A_IQ2_S)
const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
@@ -386,14 +386,14 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
const vec4 grid0 = vec4(unpack8(grid.x));
const vec4 grid1 = vec4(unpack8(grid.y));
buf_a[buf_idx ] = db * FLOAT_TYPE_VEC2((sign & 1) != 0 ? -grid0.x : grid0.x,
(sign & 2) != 0 ? -grid0.y : grid0.y);
buf_a[buf_idx + 1] = db * FLOAT_TYPE_VEC2((sign & 4) != 0 ? -grid0.z : grid0.z,
(sign & 8) != 0 ? -grid0.w : grid0.w);
buf_a[buf_idx + 2] = db * FLOAT_TYPE_VEC2((sign & 16) != 0 ? -grid1.x : grid1.x,
(sign & 32) != 0 ? -grid1.y : grid1.y);
buf_a[buf_idx + 3] = db * FLOAT_TYPE_VEC2((sign & 64) != 0 ? -grid1.z : grid1.z,
(sign & 128) != 0 ? -grid1.w : grid1.w);
buf_a[buf_idx ] = db * FLOAT_TYPEV2((sign & 1) != 0 ? -grid0.x : grid0.x,
(sign & 2) != 0 ? -grid0.y : grid0.y);
buf_a[buf_idx + 1] = db * FLOAT_TYPEV2((sign & 4) != 0 ? -grid0.z : grid0.z,
(sign & 8) != 0 ? -grid0.w : grid0.w);
buf_a[buf_idx + 2] = db * FLOAT_TYPEV2((sign & 16) != 0 ? -grid1.x : grid1.x,
(sign & 32) != 0 ? -grid1.y : grid1.y);
buf_a[buf_idx + 3] = db * FLOAT_TYPEV2((sign & 64) != 0 ? -grid1.z : grid1.z,
(sign & 128) != 0 ? -grid1.w : grid1.w);
#elif defined(DATA_A_IQ3_XXS)
const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
@@ -414,10 +414,10 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
const uint grid = iq3xxs_grid[qs];
const vec4 v = db * vec4(unpack8(grid));
buf_a[buf_idx ] = FLOAT_TYPE_VEC2((sign & 1) != 0 ? -v.x : v.x,
(sign & 2) != 0 ? -v.y : v.y);
buf_a[buf_idx + 1] = FLOAT_TYPE_VEC2((sign & 4) != 0 ? -v.z : v.z,
(sign & 8) != 0 ? -v.w : v.w);
buf_a[buf_idx ] = FLOAT_TYPEV2((sign & 1) != 0 ? -v.x : v.x,
(sign & 2) != 0 ? -v.y : v.y);
buf_a[buf_idx + 1] = FLOAT_TYPEV2((sign & 4) != 0 ? -v.z : v.z,
(sign & 8) != 0 ? -v.w : v.w);
#elif defined(DATA_A_IQ3_S)
const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
@@ -436,10 +436,10 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
const uint32_t grid = iq3s_grid[qs | ((qh << (8 - (iqs % 8))) & 256)];
const vec4 v = db * vec4(unpack8(grid));
buf_a[buf_idx ] = FLOAT_TYPE_VEC2((sign & 1) != 0 ? -v.x : v.x,
(sign & 2) != 0 ? -v.y : v.y);
buf_a[buf_idx + 1] = FLOAT_TYPE_VEC2((sign & 4) != 0 ? -v.z : v.z,
(sign & 8) != 0 ? -v.w : v.w);
buf_a[buf_idx ] = FLOAT_TYPEV2((sign & 1) != 0 ? -v.x : v.x,
(sign & 2) != 0 ? -v.y : v.y);
buf_a[buf_idx + 1] = FLOAT_TYPEV2((sign & 4) != 0 ? -v.z : v.z,
(sign & 8) != 0 ? -v.w : v.w);
#elif defined(DATA_A_IQ4_XS)
const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 2;
@@ -456,8 +456,8 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
const float d = float(data_a[ib].d);
const vec4 v = d * float(int(sl | (sh << 4)) - 32) * vec4(kvalues_iq4nl[qs.x], kvalues_iq4nl[qs.y], kvalues_iq4nl[qs.z], kvalues_iq4nl[qs.w]);
buf_a[buf_idx ] = FLOAT_TYPE_VEC2(v.xy);
buf_a[buf_idx + 1] = FLOAT_TYPE_VEC2(v.zw);
buf_a[buf_idx ] = FLOAT_TYPEV2(v.xy);
buf_a[buf_idx + 1] = FLOAT_TYPEV2(v.zw);
#elif defined(DATA_A_IQ4_NL)
const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 4;
@@ -468,10 +468,10 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
const FLOAT_TYPE d = FLOAT_TYPE(data_a_packed16[ib].d);
const uint vui = uint(data_a_packed16[ib].qs[iqs]);
buf_a[buf_idx ] = d * FLOAT_TYPE_VEC2(kvalues_iq4nl[vui & 0xF],
kvalues_iq4nl[bitfieldExtract(vui, 8, 4)]);
buf_a[buf_idx + 8] = d * FLOAT_TYPE_VEC2(kvalues_iq4nl[bitfieldExtract(vui, 4, 4)],
kvalues_iq4nl[vui >> 12]);
buf_a[buf_idx ] = d * FLOAT_TYPEV2(kvalues_iq4nl[vui & 0xF],
kvalues_iq4nl[bitfieldExtract(vui, 8, 4)]);
buf_a[buf_idx + 8] = d * FLOAT_TYPEV2(kvalues_iq4nl[bitfieldExtract(vui, 4, 4)],
kvalues_iq4nl[vui >> 12]);
#elif defined(DATA_A_MXFP4)
const uint idx = pos_a + col * p.stride_a / LOAD_VEC_A + row;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_A / 4;
@@ -483,10 +483,10 @@ void load_a_to_shmem(const uint pos_a, const uint row, const uint col, const uin
const uint vui = uint(data_a[ib].qs[iqs]);
const uint vui2 = uint(data_a[ib].qs[iqs+1]);
buf_a[buf_idx ] = FLOAT_TYPE_VEC2(kvalues_mxfp4[vui & 0xF] * d,
kvalues_mxfp4[vui2 & 0xF] * d);
buf_a[buf_idx + 8] = FLOAT_TYPE_VEC2(kvalues_mxfp4[vui >> 4] * d,
kvalues_mxfp4[vui2 >> 4] * d);
buf_a[buf_idx ] = FLOAT_TYPEV2(kvalues_mxfp4[vui & 0xF] * d,
kvalues_mxfp4[vui2 & 0xF] * d);
buf_a[buf_idx + 8] = FLOAT_TYPEV2(kvalues_mxfp4[vui >> 4] * d,
kvalues_mxfp4[vui2 >> 4] * d);
#endif
}
@@ -496,7 +496,7 @@ void load_b_to_shmem(const uint pos_b, const uint row, const uint col, const uin
// Not supported for b_type bf16 because bf16mat2x4 does not exist
const uint idx = pos_b + col * p.stride_b / LOAD_VEC_B + row;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_B / 2;
FLOAT_TYPE_VEC8 bb = FLOAT_TYPE_VEC8(data_b[idx]);
FLOAT_TYPEV8 bb = FLOAT_TYPEV8(data_b[idx]);
buf_b[buf_idx + 0] = bb[0].xy;
buf_b[buf_idx + 1] = bb[0].zw;
buf_b[buf_idx + 2] = bb[1].xy;
@@ -505,9 +505,9 @@ void load_b_to_shmem(const uint pos_b, const uint row, const uint col, const uin
const uint idx = pos_b + col * p.stride_b / LOAD_VEC_B + row;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_B / 2;
#if defined(DATA_B_BF16)
FLOAT_TYPE_VEC4 bb = FLOAT_TYPE_VEC4(TO_FLOAT_TYPE(data_b[idx]));
FLOAT_TYPEV4 bb = FLOAT_TYPEV4(TO_FLOAT_TYPE(data_b[idx]));
#else
FLOAT_TYPE_VEC4 bb = FLOAT_TYPE_VEC4(data_b[idx]);
FLOAT_TYPEV4 bb = FLOAT_TYPEV4(data_b[idx]);
#endif
buf_b[buf_idx + 0] = bb.xy;
buf_b[buf_idx + 1] = bb.zw;
@@ -515,12 +515,12 @@ void load_b_to_shmem(const uint pos_b, const uint row, const uint col, const uin
const uint idx = pos_b + col * p.stride_b + row * 2;
const uint buf_idx = col * SHMEM_STRIDE + row;
if (idx_n < p.N && block + row * 2 + 1 < end_k) {
buf_b[buf_idx] = FLOAT_TYPE_VEC2(TO_FLOAT_TYPE(data_b[idx]),
TO_FLOAT_TYPE(data_b[idx + 1]));
buf_b[buf_idx] = FLOAT_TYPEV2(TO_FLOAT_TYPE(data_b[idx]),
TO_FLOAT_TYPE(data_b[idx + 1]));
} else if (idx_n < p.N && block + row * 2 < end_k) {
buf_b[buf_idx] = FLOAT_TYPE_VEC2(TO_FLOAT_TYPE(data_b[idx]), 0.0f);
buf_b[buf_idx] = FLOAT_TYPEV2(TO_FLOAT_TYPE(data_b[idx]), 0.0f);
} else {
buf_b[buf_idx] = FLOAT_TYPE_VEC2(0.0f);
buf_b[buf_idx] = FLOAT_TYPEV2(0.0f);
}
#endif
}
@@ -531,7 +531,7 @@ void load_b_to_shmem(const uint pos_b, const uint row, const uint col, const uin
const u16vec2 row_idx = row_ids[col];
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 + row;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_B / 2;
FLOAT_TYPE_VEC8 bb = FLOAT_TYPE_VEC8(data_b[idx]);
FLOAT_TYPEV8 bb = FLOAT_TYPEV8(data_b[idx]);
buf_b[buf_idx + 0] = bb[0].xy;
buf_b[buf_idx + 1] = bb[0].zw;
buf_b[buf_idx + 2] = bb[1].xy;
@@ -541,9 +541,9 @@ void load_b_to_shmem(const uint pos_b, const uint row, const uint col, const uin
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 + row;
const uint buf_idx = col * SHMEM_STRIDE + row * LOAD_VEC_B / 2;
#if defined(DATA_B_BF16)
FLOAT_TYPE_VEC4 bb = FLOAT_TYPE_VEC4(TO_FLOAT_TYPE(data_b[idx]));
FLOAT_TYPEV4 bb = FLOAT_TYPEV4(TO_FLOAT_TYPE(data_b[idx]));
#else
FLOAT_TYPE_VEC4 bb = FLOAT_TYPE_VEC4(data_b[idx]);
FLOAT_TYPEV4 bb = FLOAT_TYPEV4(data_b[idx]);
#endif
buf_b[buf_idx + 0] = bb.xy;
buf_b[buf_idx + 1] = bb.zw;
@@ -553,14 +553,14 @@ void load_b_to_shmem(const uint pos_b, const uint row, const uint col, const uin
if (row_i < _ne1 && block + row * 2 + 1 < end_k) {
const u16vec2 row_idx = row_ids[col];
const uint idx = pos_b + row_idx.y * p.batch_stride_b + (row_idx.x % p.ne11) * p.stride_b + row * 2;
buf_b[buf_idx] = FLOAT_TYPE_VEC2(TO_FLOAT_TYPE(data_b[idx]),
TO_FLOAT_TYPE(data_b[idx + 1]));
buf_b[buf_idx] = FLOAT_TYPEV2(TO_FLOAT_TYPE(data_b[idx]),
TO_FLOAT_TYPE(data_b[idx + 1]));
} else if (row_i < _ne1 && block + row * 2 < end_k) {
const u16vec2 row_idx = row_ids[col];
const uint idx = pos_b + row_idx.y * p.batch_stride_b + (row_idx.x % p.ne11) * p.stride_b + row * 2;
buf_b[buf_idx] = FLOAT_TYPE_VEC2(TO_FLOAT_TYPE(data_b[idx]), 0.0f);
buf_b[buf_idx] = FLOAT_TYPEV2(TO_FLOAT_TYPE(data_b[idx]), 0.0f);
} else {
buf_b[buf_idx] = FLOAT_TYPE_VEC2(0.0f);
buf_b[buf_idx] = FLOAT_TYPEV2(0.0f);
}
#endif
}
@@ -21,7 +21,7 @@ void block_a_to_shmem(const uint buf_ib, const uint ib, const uint iqs) {
buf_a[buf_ib].qs[iqs] = data_a_packed32[ib].qs[iqs];
if (iqs == 0) {
buf_a[buf_ib].dm = FLOAT_TYPE_VEC2(data_a_packed32[ib].dm);
buf_a[buf_ib].dm = FLOAT_TYPEV2(data_a_packed32[ib].dm);
}
#endif
}
@@ -72,7 +72,7 @@ void block_a_to_shmem(const uint buf_ib, const uint ib, const uint iqs) {
buf_a[buf_ib].qs[iqs] = data_a_packed32[ib].qs[iqs];
if (iqs == 0) {
buf_a[buf_ib].dm = FLOAT_TYPE_VEC2(data_a_packed32[ib].dm);
buf_a[buf_ib].dm = FLOAT_TYPEV2(data_a_packed32[ib].dm);
buf_a[buf_ib].qh = data_a_packed32[ib].qh;
}
#endif
@@ -203,7 +203,7 @@ void block_a_to_shmem(const uint buf_ib, const uint ib, const uint iqs) {
buf_a[buf_ib].qs[iqs] = vals0 | (vals1 << 2) | (vals2 << 4) | (vals3 << 6);
if (iqs == 0) {
buf_a[buf_ib].dm = FLOAT_TYPE_VEC2(data_a_packed32[ib_k].dm);
buf_a[buf_ib].dm = FLOAT_TYPEV2(data_a_packed32[ib_k].dm);
buf_a[buf_ib].scales = unpack8(uint32_t(data_a_packed16[ib_k].scales[iqs_k / 8])).xy; // vec4 used due to #12147
}
}
@@ -264,7 +264,7 @@ void block_a_to_shmem(const uint buf_ib, const uint ib, const uint iqs) {
const i8vec2 scales = i8vec2(unpack8(uint32_t(((data_a_packed16[ib_k].scales[(is % 8 ) / 2] >> (4 * (is / 8))) & 0x0F0F) |
(((data_a_packed16[ib_k].scales[(8 + (is % 4)) / 2] >> (2 * (is / 4))) & 0x0303) << 4))).xy); // vec4 used due to #12147
buf_a[buf_ib].d_scales = FLOAT_TYPE_VEC2(float(data_a_packed16[ib_k].d) * vec2(scales - 32));
buf_a[buf_ib].d_scales = FLOAT_TYPEV2(float(data_a_packed16[ib_k].d) * vec2(scales - 32));
}
}
@@ -334,7 +334,7 @@ void block_a_to_shmem(const uint buf_ib, const uint ib, const uint iqs) {
(data_a[ib_k].scales[is+4] >> 4) | ((data_a[ib_k].scales[is ] & 0xC0) >> 2));
}
buf_a[buf_ib].dm = FLOAT_TYPE_VEC2(vec2(data_a_packed32[ib_k].dm) * vec2(scale_dm));
buf_a[buf_ib].dm = FLOAT_TYPEV2(vec2(data_a_packed32[ib_k].dm) * vec2(scale_dm));
}
}
@@ -385,7 +385,7 @@ void block_a_to_shmem(const uint buf_ib, const uint ib, const uint iqs) {
const uint is = iqs_k / 4;
const i8vec2 scales = unpack8(int32_t(data_a_packed16[ib_k].scales[is / 2])).xy;
buf_a[buf_ib].d_scales = FLOAT_TYPE_VEC2(float(data_a_packed16[ib_k].d) * vec2(scales));
buf_a[buf_ib].d_scales = FLOAT_TYPEV2(float(data_a_packed16[ib_k].d) * vec2(scales));
}
}
@@ -426,7 +426,7 @@ void block_b_to_shmem(const uint buf_ib, const uint ib, const uint iqs, const bo
const uint ib_inner = ib % 4;
if (iqs == 0) {
buf_b[buf_ib].ds = FLOAT_TYPE_VEC2(data_b[ib_outer].ds[ib_inner]);
buf_b[buf_ib].ds = FLOAT_TYPEV2(data_b[ib_outer].ds[ib_inner]);
}
const ivec4 values = data_b[ib_outer].qs[ib_inner * 2 + iqs];
@@ -436,7 +436,7 @@ void block_b_to_shmem(const uint buf_ib, const uint ib, const uint iqs, const bo
buf_b[buf_ib].qs[iqs * 4 + 3] = values.w;
} else {
if (iqs == 0) {
buf_b[buf_ib].ds = FLOAT_TYPE_VEC2(0.0f);
buf_b[buf_ib].ds = FLOAT_TYPEV2(0.0f);
}
buf_b[buf_ib].qs[iqs * 4 ] = 0;
@@ -8,7 +8,7 @@ struct block_a_cache {
#define QUANT_R_MMQ 2
struct block_a_cache {
uint32_t qs[16/4];
FLOAT_TYPE_VEC2 dm;
FLOAT_TYPEV2 dm;
};
#elif defined(DATA_A_Q5_0)
#define QUANT_R_MMQ 2
@@ -22,7 +22,7 @@ struct block_a_cache {
struct block_a_cache {
uint32_t qs[16/4];
uint32_t qh;
FLOAT_TYPE_VEC2 dm;
FLOAT_TYPEV2 dm;
};
#elif defined(DATA_A_Q8_0)
#define QUANT_R_MMQ 1
@@ -43,36 +43,36 @@ struct block_a_cache {
struct block_a_cache {
uint32_t qs[2];
u8vec2 scales;
FLOAT_TYPE_VEC2 dm;
FLOAT_TYPEV2 dm;
};
#elif defined(DATA_A_Q3_K)
#define QUANT_R_MMQ 2
struct block_a_cache {
uint32_t qs[4];
FLOAT_TYPE_VEC2 d_scales;
FLOAT_TYPEV2 d_scales;
};
#elif defined(DATA_A_Q4_K)
#define QUANT_R_MMQ 2
struct block_a_cache {
uint32_t qs[4];
FLOAT_TYPE_VEC2 dm;
FLOAT_TYPEV2 dm;
};
#elif defined(DATA_A_Q5_K)
#define QUANT_R_MMQ 1
struct block_a_cache {
int32_t qs[8];
FLOAT_TYPE_VEC2 dm;
FLOAT_TYPEV2 dm;
};
#elif defined(DATA_A_Q6_K)
#define QUANT_R_MMQ 1
struct block_a_cache {
int32_t qs[8];
FLOAT_TYPE_VEC2 d_scales;
FLOAT_TYPEV2 d_scales;
};
#endif
struct block_b_cache
{
int32_t qs[8];
FLOAT_TYPE_VEC2 ds;
FLOAT_TYPEV2 ds;
};
@@ -446,8 +446,8 @@ void matmul_shaders(bool fp16, MatMulIdType matmul_id_type, bool coopmat, bool c
base_dict["FLOAT16"] = "1";
}
base_dict["ACC_TYPE" ] = f16acc ? "float16_t" : "float";
base_dict["ACC_TYPE_VEC2"] = f16acc ? "f16vec2" : "vec2";
base_dict["ACC_TYPE" ] = f16acc ? "float16_t" : "float";
base_dict["ACC_TYPEV2"] = f16acc ? "f16vec2" : "vec2";
if (f16acc) {
base_dict["ACC_TYPE_MAX"] = "float16_t(65504.0)";
}
@@ -514,10 +514,10 @@ void matmul_shaders(bool fp16, MatMulIdType matmul_id_type, bool coopmat, bool c
};
const std::map<std::string, std::string> float_type_dict_f16 = {
{"FLOAT_TYPE", FLOAT_TYPE(1, "f16")},
{"FLOAT_TYPE_VEC2", FLOAT_TYPE(2, "f16")},
{"FLOAT_TYPE_VEC4", FLOAT_TYPE(4, "f16")},
{"FLOAT_TYPE_VEC8", FLOAT_TYPE(8, "f16")},
{"FLOAT_TYPE", FLOAT_TYPE(1, "f16")},
{"FLOAT_TYPEV2", FLOAT_TYPE(2, "f16")},
{"FLOAT_TYPEV4", FLOAT_TYPE(4, "f16")},
{"FLOAT_TYPEV8", FLOAT_TYPE(8, "f16")},
};
// Shaders with f16 B_TYPE
@@ -536,9 +536,9 @@ void matmul_shaders(bool fp16, MatMulIdType matmul_id_type, bool coopmat, bool c
std::string to_float_type = (coopmat || coopmat2) ? "uintBitsToBFloat16EXT" : "bf16_to_fp32";
const std::map<std::string, std::string> float_type_dict_bf16 = {
{"FLOAT_TYPE", FLOAT_TYPE(1, "bf16")},
{"FLOAT_TYPE_VEC2", FLOAT_TYPE(2, "bf16")},
{"FLOAT_TYPE_VEC4", FLOAT_TYPE(4, "bf16")},
{"FLOAT_TYPE", FLOAT_TYPE(1, "bf16")},
{"FLOAT_TYPEV2", FLOAT_TYPE(2, "bf16")},
{"FLOAT_TYPEV4", FLOAT_TYPE(4, "bf16")},
};
// If bfloat16 is not supported, then only compile the scalar (promote to fp32) shader
@@ -569,10 +569,10 @@ void matmul_shaders(bool fp16, MatMulIdType matmul_id_type, bool coopmat, bool c
std::string load_vec_a = (coopmat2 || tname == "f32" || tname == "f16" || tname == "bf16") ? load_vec : load_vec_quant;
const std::map<std::string, std::string> float_type_dict = {
{"FLOAT_TYPE", FLOAT_TYPE(1, tname)},
{"FLOAT_TYPE_VEC2", FLOAT_TYPE(2, tname)},
{"FLOAT_TYPE_VEC4", FLOAT_TYPE(4, tname)},
{"FLOAT_TYPE_VEC8", FLOAT_TYPE(8, tname)},
{"FLOAT_TYPE", FLOAT_TYPE(1, tname)},
{"FLOAT_TYPEV2", FLOAT_TYPE(2, tname)},
{"FLOAT_TYPEV4", FLOAT_TYPE(4, tname)},
{"FLOAT_TYPEV8", FLOAT_TYPE(8, tname)},
};
// don't generate f32 variants for coopmat2
@@ -676,36 +676,36 @@ void process_shaders() {
}
}
std::map<std::string, std::string> base_dict = {{"FLOAT_TYPE", "float"}, {"FLOAT_TYPE_VEC2", "vec2"}};
std::map<std::string, std::string> base_dict = {{"FLOAT_TYPE", "float"}, {"FLOAT_TYPEV2", "vec2"}};
for (const auto& tname : type_names) {
// mul mat vec
std::string data_a_key = "DATA_A_" + to_uppercase(tname);
std::string shader = (string_ends_with(tname, "_k") || string_starts_with(tname, "iq1_") || string_starts_with(tname, "iq2_") || string_starts_with(tname, "iq3_")) ? "mul_mat_vec_" + tname + ".comp" : "mul_mat_vec.comp";
string_to_spv("mul_mat_vec_" + tname + "_f32_f32", shader, merge_maps(base_dict, {{data_a_key, "1"}, {"B_TYPE", "float"}, {"B_TYPE_VEC2", "vec2"}, {"B_TYPE_VEC4", "vec4"}, {"D_TYPE", "float"}}));
string_to_spv("mul_mat_vec_" + tname + "_f16_f32", shader, merge_maps(base_dict, {{data_a_key, "1"}, {"B_TYPE", "float16_t"}, {"B_TYPE_VEC2", "f16vec2"}, {"B_TYPE_VEC4", "f16vec4"}, {"D_TYPE", "float"}}));
string_to_spv("mul_mat_vec_" + tname + "_f32_f32", shader, merge_maps(base_dict, {{data_a_key, "1"}, {"B_TYPE", "float"}, {"B_TYPEV2", "vec2"}, {"B_TYPEV4", "vec4"}, {"D_TYPE", "float"}}));
string_to_spv("mul_mat_vec_" + tname + "_f16_f32", shader, merge_maps(base_dict, {{data_a_key, "1"}, {"B_TYPE", "float16_t"}, {"B_TYPEV2", "f16vec2"}, {"B_TYPEV4", "f16vec4"}, {"D_TYPE", "float"}}));
string_to_spv("mul_mat_vec_" + tname + "_f32_f32_subgroup", shader, merge_maps(base_dict, {{data_a_key, "1"}, {"B_TYPE", "float"}, {"B_TYPE_VEC2", "vec2"}, {"B_TYPE_VEC4", "vec4"}, {"D_TYPE", "float"}, {"USE_SUBGROUP_ADD", "1"}}));
string_to_spv("mul_mat_vec_" + tname + "_f16_f32_subgroup", shader, merge_maps(base_dict, {{data_a_key, "1"}, {"B_TYPE", "float16_t"}, {"B_TYPE_VEC2", "f16vec2"}, {"B_TYPE_VEC4", "f16vec4"}, {"D_TYPE", "float"}, {"USE_SUBGROUP_ADD", "1"}}));
string_to_spv("mul_mat_vec_" + tname + "_f32_f32_subgroup", shader, merge_maps(base_dict, {{data_a_key, "1"}, {"B_TYPE", "float"}, {"B_TYPEV2", "vec2"}, {"B_TYPEV4", "vec4"}, {"D_TYPE", "float"}, {"USE_SUBGROUP_ADD", "1"}}));
string_to_spv("mul_mat_vec_" + tname + "_f16_f32_subgroup", shader, merge_maps(base_dict, {{data_a_key, "1"}, {"B_TYPE", "float16_t"}, {"B_TYPEV2", "f16vec2"}, {"B_TYPEV4", "f16vec4"}, {"D_TYPE", "float"}, {"USE_SUBGROUP_ADD", "1"}}));
string_to_spv("mul_mat_vec_" + tname + "_f32_f32_subgroup_no_shmem", shader, merge_maps(base_dict, {{data_a_key, "1"}, {"B_TYPE", "float"}, {"B_TYPE_VEC2", "vec2"}, {"B_TYPE_VEC4", "vec4"}, {"D_TYPE", "float"}, {"USE_SUBGROUP_ADD_NO_SHMEM", "1"}}));
string_to_spv("mul_mat_vec_" + tname + "_f16_f32_subgroup_no_shmem", shader, merge_maps(base_dict, {{data_a_key, "1"}, {"B_TYPE", "float16_t"}, {"B_TYPE_VEC2", "f16vec2"}, {"B_TYPE_VEC4", "f16vec4"}, {"D_TYPE", "float"}, {"USE_SUBGROUP_ADD_NO_SHMEM", "1"}}));
string_to_spv("mul_mat_vec_" + tname + "_f32_f32_subgroup_no_shmem", shader, merge_maps(base_dict, {{data_a_key, "1"}, {"B_TYPE", "float"}, {"B_TYPEV2", "vec2"}, {"B_TYPEV4", "vec4"}, {"D_TYPE", "float"}, {"USE_SUBGROUP_ADD_NO_SHMEM", "1"}}));
string_to_spv("mul_mat_vec_" + tname + "_f16_f32_subgroup_no_shmem", shader, merge_maps(base_dict, {{data_a_key, "1"}, {"B_TYPE", "float16_t"}, {"B_TYPEV2", "f16vec2"}, {"B_TYPEV4", "f16vec4"}, {"D_TYPE", "float"}, {"USE_SUBGROUP_ADD_NO_SHMEM", "1"}}));
string_to_spv("mul_mat_vec_id_" + tname + "_f32_f32", shader, merge_maps(base_dict, {{"MUL_MAT_ID", "1"}, {data_a_key, "1"}, {"B_TYPE", "float"}, {"B_TYPE_VEC2", "vec2"}, {"B_TYPE_VEC4", "vec4"}, {"D_TYPE", "float"}}));
string_to_spv("mul_mat_vec_id_" + tname + "_f32_f32_subgroup", shader, merge_maps(base_dict, {{"MUL_MAT_ID", "1"}, {data_a_key, "1"}, {"B_TYPE", "float"}, {"B_TYPE_VEC2", "vec2"}, {"B_TYPE_VEC4", "vec4"}, {"D_TYPE", "float"}, {"USE_SUBGROUP_ADD", "1"}}));
string_to_spv("mul_mat_vec_id_" + tname + "_f32_f32_subgroup_no_shmem", shader, merge_maps(base_dict, {{"MUL_MAT_ID", "1"}, {data_a_key, "1"}, {"B_TYPE", "float"}, {"B_TYPE_VEC2", "vec2"}, {"B_TYPE_VEC4", "vec4"}, {"D_TYPE", "float"}, {"USE_SUBGROUP_ADD_NO_SHMEM", "1"}}));
string_to_spv("mul_mat_vec_id_" + tname + "_f32_f32", shader, merge_maps(base_dict, {{"MUL_MAT_ID", "1"}, {data_a_key, "1"}, {"B_TYPE", "float"}, {"B_TYPEV2", "vec2"}, {"B_TYPEV4", "vec4"}, {"D_TYPE", "float"}}));
string_to_spv("mul_mat_vec_id_" + tname + "_f32_f32_subgroup", shader, merge_maps(base_dict, {{"MUL_MAT_ID", "1"}, {data_a_key, "1"}, {"B_TYPE", "float"}, {"B_TYPEV2", "vec2"}, {"B_TYPEV4", "vec4"}, {"D_TYPE", "float"}, {"USE_SUBGROUP_ADD", "1"}}));
string_to_spv("mul_mat_vec_id_" + tname + "_f32_f32_subgroup_no_shmem", shader, merge_maps(base_dict, {{"MUL_MAT_ID", "1"}, {data_a_key, "1"}, {"B_TYPE", "float"}, {"B_TYPEV2", "vec2"}, {"B_TYPEV4", "vec4"}, {"D_TYPE", "float"}, {"USE_SUBGROUP_ADD_NO_SHMEM", "1"}}));
// mul mat vec with integer dot product
#if defined(GGML_VULKAN_INTEGER_DOT_GLSLC_SUPPORT)
if (is_legacy_quant(tname) || tname == "mxfp4" || is_k_quant(tname) || tname == "iq1_s" || tname == "iq1_m") {
string_to_spv("mul_mat_vec_" + tname + "_q8_1_f32", "mul_mat_vecq.comp", merge_maps(base_dict, {{data_a_key, "1"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}, {"FLOAT_TYPE_VEC2", "vec2"}, {"ACC_TYPE", "float"}}));
string_to_spv("mul_mat_vec_" + tname + "_q8_1_f32_subgroup", "mul_mat_vecq.comp", merge_maps(base_dict, {{data_a_key, "1"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}, {"FLOAT_TYPE_VEC2", "vec2"}, {"ACC_TYPE", "float"}, {"USE_SUBGROUP_ADD", "1"}}));
string_to_spv("mul_mat_vec_" + tname + "_q8_1_f32_subgroup_no_shmem", "mul_mat_vecq.comp", merge_maps(base_dict, {{data_a_key, "1"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}, {"FLOAT_TYPE_VEC2", "vec2"}, {"ACC_TYPE", "float"}, {"USE_SUBGROUP_ADD_NO_SHMEM", "1"}}));
string_to_spv("mul_mat_vec_" + tname + "_q8_1_f32", "mul_mat_vecq.comp", merge_maps(base_dict, {{data_a_key, "1"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}, {"FLOAT_TYPEV2", "vec2"}, {"ACC_TYPE", "float"}}));
string_to_spv("mul_mat_vec_" + tname + "_q8_1_f32_subgroup", "mul_mat_vecq.comp", merge_maps(base_dict, {{data_a_key, "1"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}, {"FLOAT_TYPEV2", "vec2"}, {"ACC_TYPE", "float"}, {"USE_SUBGROUP_ADD", "1"}}));
string_to_spv("mul_mat_vec_" + tname + "_q8_1_f32_subgroup_no_shmem", "mul_mat_vecq.comp", merge_maps(base_dict, {{data_a_key, "1"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}, {"FLOAT_TYPEV2", "vec2"}, {"ACC_TYPE", "float"}, {"USE_SUBGROUP_ADD_NO_SHMEM", "1"}}));
string_to_spv("mul_mat_vec_id_" + tname + "_q8_1_f32", "mul_mat_vecq.comp", merge_maps(base_dict, {{"MUL_MAT_ID", "1"}, {data_a_key, "1"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}, {"FLOAT_TYPE_VEC2", "vec2"}, {"ACC_TYPE", "float"}}));
string_to_spv("mul_mat_vec_id_" + tname + "_q8_1_f32_subgroup", "mul_mat_vecq.comp", merge_maps(base_dict, {{"MUL_MAT_ID", "1"}, {data_a_key, "1"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}, {"FLOAT_TYPE_VEC2", "vec2"}, {"ACC_TYPE", "float"}, {"USE_SUBGROUP_ADD", "1"}}));
string_to_spv("mul_mat_vec_id_" + tname + "_q8_1_f32_subgroup_no_shmem", "mul_mat_vecq.comp", merge_maps(base_dict, {{"MUL_MAT_ID", "1"}, {data_a_key, "1"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}, {"FLOAT_TYPE_VEC2", "vec2"}, {"ACC_TYPE", "float"}, {"USE_SUBGROUP_ADD_NO_SHMEM", "1"}}));
string_to_spv("mul_mat_vec_id_" + tname + "_q8_1_f32", "mul_mat_vecq.comp", merge_maps(base_dict, {{"MUL_MAT_ID", "1"}, {data_a_key, "1"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}, {"FLOAT_TYPEV2", "vec2"}, {"ACC_TYPE", "float"}}));
string_to_spv("mul_mat_vec_id_" + tname + "_q8_1_f32_subgroup", "mul_mat_vecq.comp", merge_maps(base_dict, {{"MUL_MAT_ID", "1"}, {data_a_key, "1"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}, {"FLOAT_TYPEV2", "vec2"}, {"ACC_TYPE", "float"}, {"USE_SUBGROUP_ADD", "1"}}));
string_to_spv("mul_mat_vec_id_" + tname + "_q8_1_f32_subgroup_no_shmem", "mul_mat_vecq.comp", merge_maps(base_dict, {{"MUL_MAT_ID", "1"}, {data_a_key, "1"}, {"D_TYPE", "float"}, {"FLOAT_TYPE", "float"}, {"FLOAT_TYPEV2", "vec2"}, {"ACC_TYPE", "float"}, {"USE_SUBGROUP_ADD_NO_SHMEM", "1"}}));
}
#endif
@@ -726,9 +726,9 @@ void process_shaders() {
string_to_spv("get_rows_i32", "get_rows.comp", {{"TEMP_TYPE", "uint"}, {"A_TYPE", "uint"}, {"B_TYPE", "int"}, {"D_TYPE", "uint"}});
string_to_spv("mul_mat_vec_p021_f16_f32_subgroup_add", "mul_mat_vec_p021.comp", {{"A_TYPE", "float16_t"}, {"A_TYPE_VEC4", "f16vec4"}, {"B_TYPE", "float"}, {"B_TYPE_VEC4", "vec4"}, {"D_TYPE", "float"}, {"USE_SUBGROUP_ADD", "1"}});
string_to_spv("mul_mat_vec_p021_f16_f32", "mul_mat_vec_p021.comp", {{"A_TYPE", "float16_t"}, {"A_TYPE_VEC4", "f16vec4"}, {"B_TYPE", "float"}, {"B_TYPE_VEC4", "vec4"}, {"D_TYPE", "float"}});
string_to_spv("mul_mat_vec_nc_f16_f32", "mul_mat_vec_nc.comp", {{"A_TYPE", "float16_t"}, {"A_TYPE_VEC4", "f16vec4"}, {"B_TYPE", "float"}, {"B_TYPE_VEC4", "vec4"}, {"D_TYPE", "float"}});
string_to_spv("mul_mat_vec_p021_f16_f32_subgroup_add", "mul_mat_vec_p021.comp", {{"A_TYPE", "float16_t"}, {"A_TYPEV4", "f16vec4"}, {"B_TYPE", "float"}, {"B_TYPEV4", "vec4"}, {"D_TYPE", "float"}, {"USE_SUBGROUP_ADD", "1"}});
string_to_spv("mul_mat_vec_p021_f16_f32", "mul_mat_vec_p021.comp", {{"A_TYPE", "float16_t"}, {"A_TYPEV4", "f16vec4"}, {"B_TYPE", "float"}, {"B_TYPEV4", "vec4"}, {"D_TYPE", "float"}});
string_to_spv("mul_mat_vec_nc_f16_f32", "mul_mat_vec_nc.comp", {{"A_TYPE", "float16_t"}, {"A_TYPEV4", "f16vec4"}, {"B_TYPE", "float"}, {"B_TYPEV4", "vec4"}, {"D_TYPE", "float"}});
// Norms
string_to_spv("norm_f32", "norm.comp", merge_maps(base_dict, {{"A_TYPE", "float"}, {"D_TYPE", "float"}}));
+29 -1
View File
@@ -2558,7 +2558,8 @@ void llama_vocab::impl::load(llama_model_loader & ml, const LLM_KV & kv) {
|| t.first == "[EOS]" // Kimi-K2
|| t.first == "<|end_of_text|>"
|| t.first == "<end_of_utterance>" // smoldocling
|| t.first == "<turn|>" // gemma4
|| t.first == "<eos>" // gemma4
|| t.first == "<turn|>" // gemma4
|| t.first == "<|tool_response>" // gemma4
|| t.first == "<end▁of▁sentence>" // deepseek-ocr
) {
@@ -2645,6 +2646,33 @@ void llama_vocab::impl::load(llama_model_loader & ml, const LLM_KV & kv) {
LLAMA_LOG_WARN("%s: special_eog_ids contains both '<|return|>' and '<|call|>', or '<|calls|>' and '<|flush|>' tokens, removing '<|end|>' token from EOG list\n", __func__);
}
}
// workaround for gemma4 and paddleocr: do not include </s> as an eog token
{
bool has_tool_response = false;
bool has_s = false;
llama_token s_id = LLAMA_TOKEN_NULL;
for (auto tid : special_eog_ids) {
const auto & text = id_to_token[tid].text;
if (text == "<|tool_response>") {
has_tool_response = true;
} else if (text == "</s>") {
has_s = true;
s_id = tid;
}
}
if (has_tool_response && has_s) {
special_eog_ids.erase(s_id);
auto & attr = id_to_token[s_id].attr;
attr = LLAMA_TOKEN_ATTR_NORMAL;
LLAMA_LOG_WARN("%s: special_eog_ids contains '<|tool_response>', removing '</s>' token from EOG list\n", __func__);
}
}
}
// build special tokens cache
+1 -1
View File
@@ -3454,7 +3454,7 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
},
"replaceAll": {
"type": "boolean",
"description": "Whether to replace all occurences."
"description": "Whether to replace all occurrences."
}
},
"required": ["oldString", "newString"]
File diff suppressed because one or more lines are too long
+1 -1
View File
@@ -18,7 +18,7 @@
<div style="display: contents">
<script>
{
__sveltekit_1ppa22i = {
__sveltekit_1610ad9 = {
base: new URL('.', location).pathname.slice(0, -1)
};
+3
View File
@@ -3033,6 +3033,8 @@ server_context_meta server_context::get_meta() const {
/* fim_rep_token */ llama_vocab_fim_rep(impl->vocab),
/* fim_sep_token */ llama_vocab_fim_sep(impl->vocab),
/* logit_bias_eog */ impl->params_base.sampling.logit_bias_eog,
/* model_vocab_type */ llama_vocab_type(impl->vocab),
/* model_vocab_n_tokens */ llama_vocab_n_tokens(impl->vocab),
/* model_n_ctx_train */ llama_model_n_ctx_train(impl->model),
@@ -3117,6 +3119,7 @@ std::unique_ptr<server_res_generator> server_routes::handle_completions_impl(
ctx_server.vocab,
params,
meta->slot_n_ctx,
meta->logit_bias_eog,
data);
task.id_slot = json_value(data, "id_slot", -1);
+3
View File
@@ -39,6 +39,9 @@ struct server_context_meta {
llama_token fim_rep_token;
llama_token fim_sep_token;
// sampling
std::vector<llama_logit_bias> logit_bias_eog;
// model meta
enum llama_vocab_type model_vocab_type;
int32_t model_vocab_n_tokens;
+2 -1
View File
@@ -239,6 +239,7 @@ task_params server_task::params_from_json_cmpl(
const llama_vocab * vocab,
const common_params & params_base,
const int n_ctx_slot,
const std::vector<llama_logit_bias> & logit_bias_eog,
const json & data) {
task_params params;
@@ -562,7 +563,7 @@ task_params server_task::params_from_json_cmpl(
if (params.sampling.ignore_eos) {
params.sampling.logit_bias.insert(
params.sampling.logit_bias.end(),
defaults.sampling.logit_bias_eog.begin(), defaults.sampling.logit_bias_eog.end());
logit_bias_eog.begin(), logit_bias_eog.end());
}
}
+1
View File
@@ -209,6 +209,7 @@ struct server_task {
const llama_vocab * vocab,
const common_params & params_base,
const int n_ctx_slot,
const std::vector<llama_logit_bias> & logit_bias_eog,
const json & data);
// utility function
+1 -1
View File
@@ -135,7 +135,7 @@ def test_completion_stream_with_openai_library_stops():
client = OpenAI(api_key="dummy", base_url=f"http://{server.server_host}:{server.server_port}/v1")
res = client.completions.create(
model="davinci-002",
prompt="System: You are helpfull assistant.\nAssistant:\nHey! How could I help?\nUser:\nTell me a joke.\nAssistant:\n",
prompt="System: You are helpful assistant.\nAssistant:\nHey! How could I help?\nUser:\nTell me a joke.\nAssistant:\n",
stop=["User:\n", "Assistant:\n"],
max_tokens=200,
stream=True,
@@ -0,0 +1,43 @@
import pytest
from utils import *
server = ServerPreset.tinyllama2()
@pytest.fixture(autouse=True)
def create_server():
global server
server = ServerPreset.tinyllama2()
def test_ignore_eos_populates_logit_bias():
"""ignore_eos=true must add EOG logit biases to generation_settings."""
global server
server.start()
res = server.make_request("POST", "/completion", data={
"n_predict": 8,
"prompt": "Once upon a time",
"ignore_eos": True,
"temperature": 0.0,
})
assert res.status_code == 200
# EOG token biases must be present with -inf bias
logit_bias = res.body["generation_settings"]["logit_bias"]
assert len(logit_bias) > 0
for entry in logit_bias:
assert entry["bias"] is None # null in JSON represents -inf
def test_ignore_eos_false_no_logit_bias():
"""ignore_eos=false (default) must NOT add EOG logit biases."""
global server
server.start()
res = server.make_request("POST", "/completion", data={
"n_predict": 8,
"prompt": "Once upon a time",
"ignore_eos": False,
"temperature": 0.0,
})
assert res.status_code == 200
logit_bias = res.body["generation_settings"]["logit_bias"]
assert len(logit_bias) == 0
@@ -88,6 +88,12 @@ export const SYNCABLE_PARAMETERS: SyncableParameter[] = [
},
{ key: 'max_tokens', serverKey: 'max_tokens', type: SyncableParameterType.NUMBER, canSync: true },
{ key: 'samplers', serverKey: 'samplers', type: SyncableParameterType.STRING, canSync: true },
{
key: 'backend_sampling',
serverKey: 'backend_sampling',
type: SyncableParameterType.BOOLEAN,
canSync: true
},
{
key: 'pasteLongTextToFileLen',
serverKey: 'pasteLongTextToFileLen',
@@ -1610,8 +1610,7 @@ class ChatStore {
if (currentConfig.samplers) apiOptions.samplers = currentConfig.samplers;
if (currentConfig.backend_sampling)
apiOptions.backend_sampling = currentConfig.backend_sampling;
apiOptions.backend_sampling = currentConfig.backend_sampling;
if (currentConfig.custom) apiOptions.custom = currentConfig.custom;