Merge branch 'upstream' into concedo_experimental

# Conflicts:
#	.pi/gg/SYSTEM.md
#	docs/speculative.md
#	ggml/src/ggml-virtgpu/virtgpu-shm.cpp
#	ggml/src/ggml-virtgpu/virtgpu.cpp
#	ggml/src/ggml-virtgpu/virtgpu.h
#	ggml/src/ggml-webgpu/ggml-webgpu-shader-lib.hpp
#	ggml/src/ggml-webgpu/ggml-webgpu.cpp
#	ggml/src/ggml-webgpu/wgsl-shaders/row_norm.wgsl
#	tools/cli/README.md
#	tools/completion/README.md
#	tools/server/README.md
This commit is contained in:
Concedo
2026-05-04 15:36:13 +08:00
16 changed files with 384 additions and 283 deletions
+25 -28
View File
@@ -1905,14 +1905,14 @@ void llama_kv_cache::state_read(llama_io_read_i & io, llama_seq_id seq_id, llama
GGML_ASSERT(seq_id == -1 || (seq_id >= 0 && (size_t) seq_id < seq_to_stream.size()));
uint32_t n_stream_cur;
io.read_to(&n_stream_cur, sizeof(n_stream_cur));
io.read(&n_stream_cur, sizeof(n_stream_cur));
if (n_stream_cur != n_stream) {
throw std::runtime_error("n_stream mismatch");
}
for (uint32_t s = 0; s < n_stream; ++s) {
uint32_t cell_count;
io.read_to(&cell_count, sizeof(cell_count));
io.read(&cell_count, sizeof(cell_count));
if (cell_count == 0) {
continue;
@@ -2087,8 +2087,8 @@ bool llama_kv_cache::state_read_meta(llama_io_read_i & io, uint32_t strm, uint32
llama_pos pos;
uint32_t n_seq_id;
io.read_to(&pos, sizeof(pos));
io.read_to(&n_seq_id, sizeof(n_seq_id));
io.read(&pos, sizeof(pos));
io.read(&n_seq_id, sizeof(n_seq_id));
if (n_seq_id != 1) {
LLAMA_LOG_ERROR("%s: invalid seq_id-agnostic kv cell\n", __func__);
@@ -2097,7 +2097,7 @@ bool llama_kv_cache::state_read_meta(llama_io_read_i & io, uint32_t strm, uint32
if (hparams.n_pos_per_embd() > 1) {
llama_kv_cell_ext ext;
io.read_to(&ext, sizeof(ext));
io.read(&ext, sizeof(ext));
ubatch.pos[i + ubatch.n_tokens] = ext.y;
ubatch.pos[i + ubatch.n_tokens*2] = ext.x;
@@ -2106,7 +2106,7 @@ bool llama_kv_cache::state_read_meta(llama_io_read_i & io, uint32_t strm, uint32
// read the sequence id, but directly discard it - we will use dest_seq_id instead
{
llama_seq_id seq_id;
io.read_to(&seq_id, sizeof(seq_id));
io.read(&seq_id, sizeof(seq_id));
}
ubatch.pos[i] = pos;
@@ -2148,20 +2148,20 @@ bool llama_kv_cache::state_read_meta(llama_io_read_i & io, uint32_t strm, uint32
llama_pos pos;
uint32_t n_seq_id;
io.read_to(&pos, sizeof(pos));
io.read_to(&n_seq_id, sizeof(n_seq_id));
io.read(&pos, sizeof(pos));
io.read(&n_seq_id, sizeof(n_seq_id));
cells.pos_set(i, pos);
if (hparams.n_pos_per_embd() > 1) {
llama_kv_cell_ext ext;
io.read_to(&ext, sizeof(ext));
io.read(&ext, sizeof(ext));
cells.ext_set(i, ext);
}
for (uint32_t j = 0; j < n_seq_id; ++j) {
llama_seq_id seq_id;
io.read_to(&seq_id, sizeof(seq_id));
io.read(&seq_id, sizeof(seq_id));
if (seq_id < 0 || (uint32_t) seq_id >= n_seq_max) {
LLAMA_LOG_ERROR("%s: invalid seq_id, %d is out of range [0, %u)\n", __func__, seq_id, n_seq_max);
@@ -2194,8 +2194,8 @@ bool llama_kv_cache::state_read_data(llama_io_read_i & io, uint32_t strm, uint32
uint32_t v_trans;
uint32_t n_layer;
io.read_to(&v_trans, sizeof(v_trans));
io.read_to(&n_layer, sizeof(n_layer));
io.read(&v_trans, sizeof(v_trans));
io.read(&n_layer, sizeof(n_layer));
if (n_layer != layers.size()) {
LLAMA_LOG_ERROR("%s: mismatched layer count (%u instead of %u)\n", __func__, n_layer, (uint32_t) layers.size());
@@ -2222,7 +2222,7 @@ bool llama_kv_cache::state_read_data(llama_io_read_i & io, uint32_t strm, uint32
// Read type of key
int32_t k_type_i_ref;
io.read_to(&k_type_i_ref, sizeof(k_type_i_ref));
io.read(&k_type_i_ref, sizeof(k_type_i_ref));
const int32_t k_type_i = (int32_t) k->type;
if (k_type_i != k_type_i_ref) {
LLAMA_LOG_ERROR("%s: mismatched key type (%d != %d, layer %d)\n", __func__, k_type_i, k_type_i_ref, il);
@@ -2231,7 +2231,7 @@ bool llama_kv_cache::state_read_data(llama_io_read_i & io, uint32_t strm, uint32
// Read row size of key
uint64_t k_size_row_ref;
io.read_to(&k_size_row_ref, sizeof(k_size_row_ref));
io.read(&k_size_row_ref, sizeof(k_size_row_ref));
const size_t k_size_row = ggml_row_size(k->type, n_embd_k_gqa);
if (k_size_row != k_size_row_ref) {
LLAMA_LOG_ERROR("%s: mismatched key row size (%zu != %zu, layer %d)\n", __func__, k_size_row, (size_t) k_size_row_ref, il);
@@ -2241,13 +2241,12 @@ bool llama_kv_cache::state_read_data(llama_io_read_i & io, uint32_t strm, uint32
if (cell_count) {
if (sinfo.is_contiguous()) {
// Fast path: contiguous cells, single memcpy
ggml_backend_tensor_set(k, io.read(cell_count * k_size_row), sinfo.head() * k_size_row, cell_count * k_size_row);
io.read_tensor(k, sinfo.head() * k_size_row, cell_count * k_size_row);
} else {
// Slow path: scatter to non-contiguous positions
const void * src = io.read(cell_count * k_size_row);
for (uint32_t i = 0; i < cell_count; ++i) {
const size_t dst_offset = sinfo.idxs[0][i] * k_size_row;
ggml_backend_tensor_set(k, (const char*)src + i * k_size_row, dst_offset, k_size_row);
io.read_tensor(k, dst_offset, k_size_row);
}
}
}
@@ -2266,7 +2265,7 @@ bool llama_kv_cache::state_read_data(llama_io_read_i & io, uint32_t strm, uint32
// Read type of value
int32_t v_type_i_ref;
io.read_to(&v_type_i_ref, sizeof(v_type_i_ref));
io.read(&v_type_i_ref, sizeof(v_type_i_ref));
const int32_t v_type_i = (int32_t) v->type;
if (v_type_i != v_type_i_ref) {
LLAMA_LOG_ERROR("%s: mismatched value type (%d != %d, layer %d)\n", __func__, v_type_i, v_type_i_ref, il);
@@ -2275,7 +2274,7 @@ bool llama_kv_cache::state_read_data(llama_io_read_i & io, uint32_t strm, uint32
// Read row size of value
uint64_t v_size_row_ref;
io.read_to(&v_size_row_ref, sizeof(v_size_row_ref));
io.read(&v_size_row_ref, sizeof(v_size_row_ref));
const size_t v_size_row = ggml_row_size(v->type, n_embd_v_gqa);
if (v_size_row != v_size_row_ref) {
LLAMA_LOG_ERROR("%s: mismatched value row size (%zu != %zu, layer %d)\n", __func__, v_size_row, (size_t) v_size_row_ref, il);
@@ -2285,13 +2284,12 @@ bool llama_kv_cache::state_read_data(llama_io_read_i & io, uint32_t strm, uint32
if (cell_count) {
if (sinfo.is_contiguous()) {
// Fast path: contiguous cells, single memcpy
ggml_backend_tensor_set(v, io.read(cell_count * v_size_row), sinfo.head() * v_size_row, cell_count * v_size_row);
io.read_tensor(v, sinfo.head() * v_size_row, cell_count * v_size_row);
} else {
// Slow path: scatter to non-contiguous positions
const void * src = io.read(cell_count * v_size_row);
for (uint32_t i = 0; i < cell_count; ++i) {
const size_t dst_offset = sinfo.idxs[0][i] * v_size_row;
ggml_backend_tensor_set(v, (const char*)src + i * v_size_row, dst_offset, v_size_row);
io.read_tensor(v, dst_offset, v_size_row);
}
}
}
@@ -2310,7 +2308,7 @@ bool llama_kv_cache::state_read_data(llama_io_read_i & io, uint32_t strm, uint32
// Read type of value
int32_t v_type_i_ref;
io.read_to(&v_type_i_ref, sizeof(v_type_i_ref));
io.read(&v_type_i_ref, sizeof(v_type_i_ref));
const int32_t v_type_i = (int32_t) v->type;
if (v_type_i != v_type_i_ref) {
LLAMA_LOG_ERROR("%s: mismatched value type (%d != %d, layer %d)\n", __func__, v_type_i, v_type_i_ref, il);
@@ -2319,7 +2317,7 @@ bool llama_kv_cache::state_read_data(llama_io_read_i & io, uint32_t strm, uint32
// Read element size of value
uint32_t v_size_el_ref;
io.read_to(&v_size_el_ref, sizeof(v_size_el_ref));
io.read(&v_size_el_ref, sizeof(v_size_el_ref));
const size_t v_size_el = ggml_type_size(v->type);
if (v_size_el != v_size_el_ref) {
LLAMA_LOG_ERROR("%s: mismatched value element size (%zu != %zu, layer %d)\n", __func__, v_size_el, (size_t) v_size_el_ref, il);
@@ -2328,7 +2326,7 @@ bool llama_kv_cache::state_read_data(llama_io_read_i & io, uint32_t strm, uint32
// Read GQA embedding size
uint32_t n_embd_v_gqa_ref;
io.read_to(&n_embd_v_gqa_ref, sizeof(n_embd_v_gqa_ref));
io.read(&n_embd_v_gqa_ref, sizeof(n_embd_v_gqa_ref));
if (n_embd_v_gqa != n_embd_v_gqa_ref) {
LLAMA_LOG_ERROR("%s: mismatched GQA embedding size (%u != %u, layer %d)\n", __func__, n_embd_v_gqa, n_embd_v_gqa_ref, il);
return false;
@@ -2340,15 +2338,14 @@ bool llama_kv_cache::state_read_data(llama_io_read_i & io, uint32_t strm, uint32
const uint32_t h = sinfo.head();
for (uint32_t j = 0; j < n_embd_v_gqa; ++j) {
const size_t dst_offset = (h + j * cells.size()) * v_size_el;
ggml_backend_tensor_set(v, io.read(cell_count * v_size_el), dst_offset, cell_count * v_size_el);
io.read_tensor(v, dst_offset, cell_count * v_size_el);
}
} else {
// Slow path: scatter to non-contiguous positions
for (uint32_t j = 0; j < n_embd_v_gqa; ++j) {
const void * src = io.read(cell_count * v_size_el);
for (uint32_t i = 0; i < cell_count; ++i) {
const size_t dst_offset = (sinfo.idxs[0][i] + j * cells.size()) * v_size_el;
ggml_backend_tensor_set(v, (const char*)src + i * v_size_el, dst_offset, v_size_el);
io.read_tensor(v, dst_offset, v_size_el);
}
}
}