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Daniel Bevenius 86587da03b
llama : check returned fn ptrs from ggml_backend_reg_get_proc_address (#15893) 
This commit adds check for two function pointers returned from
ggml_backend_reg_get_proc_address.

The motivation for this is that the function pointer could be nullptr if
the get proc address function changes in the future. This is also
consistent with all the other calls to ggml_backend_reg_get_proc_address
in the code base.
 		2025-09-10 05:33:58 +02:00
..
CMakeLists.txt kv-cache : drop the "unified" prefix (#15467) 2025-08-21 17:00:33 +03:00
llama-adapter.cpp aLoRA Support (#15327) 2025-09-05 17:32:39 -06:00
llama-adapter.h aLoRA Support (#15327) 2025-09-05 17:32:39 -06:00
llama-arch.cpp aLoRA Support (#15327) 2025-09-05 17:32:39 -06:00
llama-arch.h aLoRA Support (#15327) 2025-09-05 17:32:39 -06:00
llama-batch.cpp perplexity : provide a helpful hint for has_cpl case in split_equal error. (#15304) 2025-08-14 14:03:30 +03:00
llama-batch.h llama : reuse compute graphs (#14482) 2025-07-17 19:08:33 +03:00
llama-chat.cpp model : add support for Seed-OSS (#15490) 2025-08-23 15:21:52 +02:00
llama-chat.h model : add support for Seed-OSS (#15490) 2025-08-23 15:21:52 +02:00
llama-context.cpp llama : check returned fn ptrs from ggml_backend_reg_get_proc_address (#15893) 2025-09-10 05:33:58 +02:00
llama-context.h llama : separate compute buffer reserve from fattn check (#15696) 2025-08-31 15:49:03 +02:00
llama-cparams.cpp cparams : rename LLAMA_MAX_PARALLEL_SEQUENCES to LLAMA_MAX_SEQ (#14188) 2025-06-15 10:08:58 +03:00
llama-cparams.h llama : remove KV cache defragmentation logic (#15473) 2025-08-22 12:22:13 +03:00
llama-grammar.cpp `server`: streaming of tool calls and thoughts when `--jinja` is on (#12379) 2025-05-25 01:48:08 +01:00
llama-grammar.h `tool-call`: fix Qwen 2.5 Coder support, add micro benchmarks, support trigger patterns for lazy grammars (#12034) 2025-03-05 13:05:13 +00:00
llama-graph.cpp context : fix n_outputs during reserve (#15858) 2025-09-08 10:26:36 +03:00
llama-graph.h llama : add support for EmbeddingGemma 300m (#15798) 2025-09-04 18:10:29 +02:00
llama-hparams.cpp kv-cache : fix SWA checks + disable cacheless iSWA (#15811) 2025-09-05 10:39:22 +03:00
llama-hparams.h kv-cache : fix SWA checks + disable cacheless iSWA (#15811) 2025-09-05 10:39:22 +03:00
llama-impl.cpp GGUF: C++ refactor, backend support, misc fixes (#11030) 2025-01-07 18:01:58 +01:00
llama-impl.h llama: use FA + max. GPU layers by default (#15434) 2025-08-30 16:32:10 +02:00
llama-io.cpp llama : refactor llama_context, llama_kv_cache, llm_build_context (#12181) 2025-03-13 12:35:44 +02:00
llama-io.h llama : refactor llama_context, llama_kv_cache, llm_build_context (#12181) 2025-03-13 12:35:44 +02:00
llama-kv-cache-iswa.cpp kv-cache : fix SWA checks + disable cacheless iSWA (#15811) 2025-09-05 10:39:22 +03:00
llama-kv-cache-iswa.h kv-cache : support layer reuse (#15504) 2025-08-24 13:07:07 +03:00
llama-kv-cache.cpp model : avoid ggml_cont_3d for fused QKV weights (#15662) 2025-09-08 10:25:33 +03:00
llama-kv-cache.h model : avoid ggml_cont_3d for fused QKV weights (#15662) 2025-09-08 10:25:33 +03:00
llama-kv-cells.h llama : remove KV cache defragmentation logic (#15473) 2025-08-22 12:22:13 +03:00
llama-memory-hybrid.cpp kv-cache : fix SWA checks + disable cacheless iSWA (#15811) 2025-09-05 10:39:22 +03:00
llama-memory-hybrid.h kv-cache : fix SWA checks + disable cacheless iSWA (#15811) 2025-09-05 10:39:22 +03:00
llama-memory-recurrent.cpp kv-cache : support layer reuse (#15504) 2025-08-24 13:07:07 +03:00
llama-memory-recurrent.h kv-cache : support layer reuse (#15504) 2025-08-24 13:07:07 +03:00
llama-memory.cpp memory : correctly handle failure in apply() (#14438) 2025-06-30 18:03:03 +03:00
llama-memory.h kv-cache : support layer reuse (#15504) 2025-08-24 13:07:07 +03:00
llama-mmap.cpp llama : allow using mmap without PrefetchVirtualMemory, apply GGML_WIN_VER to llama.cpp sources (#14013) 2025-06-05 11:57:42 +02:00
llama-mmap.h llama-mmap: fix missing include (#11796) 2025-02-10 20:58:18 +02:00
llama-model-loader.cpp nvidia nemotron nano v2 (nemotronh) (#15507) 2025-08-28 18:39:31 -06:00
llama-model-loader.h model: support GLM 4.5 family of models (#14939) 2025-08-04 20:29:25 +02:00
llama-model-saver.cpp llama : improve sep token handling (#14272) 2025-06-20 14:04:09 +02:00
llama-model-saver.h llama/ggml: add LLM training support (#10544) 2025-05-12 14:44:49 +02:00
llama-model.cpp model : avoid ggml_cont_3d for fused QKV weights (#15662) 2025-09-08 10:25:33 +03:00
llama-model.h llama : fix incorrect model type for Gemma 270M (#15764) 2025-09-03 13:35:49 +02:00
llama-quant.cpp convert : support non-mxfp4 HF model (#15153) 2025-08-07 23:26:03 +02:00
llama-quant.h llama : refactor `src/llama.cpp` (#10902) 2025-01-03 10:18:53 +02:00
llama-sampling.cpp sampling : optimize dist sampler (#15704) 2025-09-03 18:16:26 +03:00
llama-sampling.h llama : add `llama_vocab`, functions -> methods, naming (#11110) 2025-01-12 11:32:42 +02:00
llama-vocab.cpp model : jina-embeddings-v3 support (#13693) 2025-08-28 15:49:50 +02:00
llama-vocab.h model : add hunyuan dense (#14878) 2025-08-01 15:31:12 +02:00
llama.cpp llama : check returned fn ptrs from ggml_backend_reg_get_proc_address (#15893) 2025-09-10 05:33:58 +02:00
unicode-data.cpp server : better security control for public deployments (#9776) 2024-10-08 13:27:04 +02:00
unicode-data.h llama : reduce compile time and binary size (#9712) 2024-10-02 15:49:55 +02:00
unicode.cpp model : add Kimi-K2 support (#14654) 2025-07-15 21:54:22 +02:00
unicode.h model : add Kimi-K2 support (#14654) 2025-07-15 21:54:22 +02:00