The result-checking and test debug paths in ggml-vulkan.cpp call ggml_graph_compute_with_ctx() to compute a CPU reference graph, but that symbol is defined in ggml-cpu, which ggml-vulkan does not link. Enabling -DGGML_VULKAN_CHECK_RESULTS=ON (or -DGGML_VULKAN_RUN_TESTS=ON) therefore fails to link with an unresolved external (e.g. LNK2019 on MSVC, undefined reference on GCC/Clang). This regressed after ggml-cpu was split into its own library. Link ggml-cpu under those two options so the debug builds link again.
Signed-off-by: Wyatt Caldwell <218154709+Detensable@users.noreply.github.com>
* server : improve message span logic
* cont : cast size_t to int32_t in comparisons
* server : create checkpoints before every user msg
* chat : remove \n in gemma4 delimiters
* chat : merge msg delimiter structs into one
* cont : reword comment
* cont : initialize tokens in delimiter
* cont : add server_tokens::get_raw_tokens() for mtmd
* cont : move message finding to server_tokens and skip mtmd tokens
* cont : update cohere2moe parser
* cont : increase min-step to 8192 and always produce a chkpt for last user message
* server: real-time model load progress tracking via /models/sse
* update docs
* server: move model download to child process
* rm unused
* fix most problems
* clean up
* nit fixes
* fix test case
* do not detact() thread
* shorter MODEL_DOWNLOAD_TIMEOUT in test
* throttle
* ui: model status and load progress via /models/sse feed
* ui: centralize SSE wire-format delimiters into shared constants for the chat and /models/sse parsers
* ui: type /models/sse event names as a ServerModelsSseEventType enum
Address review from allozaur
line_start -1 normalized to n+1, so append inserted at lines.begin() + n + 1,
one past end() -> heap-buffer-overflow in vector::_M_range_insert.
Normalize -1 to n (insert at end()), restrict -1 to append mode and reject it
for replace/delete instead of silently clobbering the last line. Parenthesize
the insert offset so empty-file append computes the position as int first,
avoiding a transient begin() - 1 on a null vector data pointer.
* common/peg : refactor until gbnf grammar into an ac automaton
* cont : add a test with multiple strings
* cont : pad state with 0s so rules line up
* cont : clean up comments
* cont : use set everywhere
* cont : inline state num string padding
* cont : add a ref to PR
* cont : fix regression in server-tools.cpp
* arg: try fixing test-args-parser randomly fails
* return ref
* try triggering the workflow
* exception wrapper
* wip
* test
* test 2
* arg: guard win32 utf8 argv override
make_utf8_argv rebuilds argv from GetCommandLineW to fix utf8 handling of
non ascii arguments on windows. the override runs unconditionally inside
common_params_parse, so it also clobbers a programmatic argv passed by a
caller. test-arg-parser builds a synthetic argv but then sees the real
process command line instead, the model argument is never parsed, and the
assert that expects success aborts via fastfail (0xC0000409). this shows up
as a random failure in the openvino windows workflow.
only override argv when its length matches the caller argc, so the utf8
repair still applies to real binaries while a programmatic argv stays intact.
---------
Co-authored-by: Pascal <admin@serveurperso.com>
* server: avoid forwarding auth headers in CORS proxy
* format
* fix test
* fix e2e test
---------
Co-authored-by: Xuan Son Nguyen <son@huggingface.co>
GLM-5.2 ships the DSA "lightning indexer" on only a subset of layers (the
"full" layers; others omit it), but the GLM_DSA loader created the five
indexer tensors on every layer as required, so loading any GLM-5.2 GGUF
failed with e.g. `missing tensor 'blk.3.indexer.k_norm.weight'`.
GLM_DSA's graph is llama_model_deepseek2::graph (plain MLA) and does not use
the indexer tensors (indexer runtime not yet implemented), so they are
loaded-but-unused. Marking them TENSOR_NOT_REQUIRED lets layers without an
indexer load as nullptr and the model runs as full MLA attention.
DeepSeek-V3.2 (uniform indexer on all layers) is unaffected.
Use std::partial_sort to order only the requested top-n tokens instead
of the full vocabulary
logprobs sort: vocab=128000 n_top=0 iters=100
full sort: 8555.6 us/op
partial sort: 704.3 us/op
Signed-off-by: Adrien Gallouët <angt@huggingface.co>
Jeff Bolz