llama.cpp/common
slaren e7e4df031b
llama : ggml-backend integration (#4766)
* llama : ggml-backend integration

* ggml-backend : add names to buffers

* fix unmap after loading

* batched-bench : add tensor_split param

* llama : check for null tensor_split

* ggml-backend : increase GGML_MAX_BACKENDS

* improve graph splitting, partial fix for --no-kv-offload

* cuda : add ggml-backend split buffer support

* cuda : do not create buffer types for devices that don't exist (fixes usage without CUDA devices available)

* ggml : fix null backend dereference (#4807)

* ggml : fix null backend dereference

* ggml : also check ggml_backend_is_cpu

* test-backend-ops : check buffer allocation failures

* llama : add cparam (split_mode) and command line argument (--split-mode, -sm) to configure the split mode (none, layer or row)

* ggml : fix mul_mat_id work size

* llama : rewrite session kv load/set without graphs

* minor

* llama : only initialize used backends, free backends on context free

* llama : abort ctx if cuda backend init fails

* llama : rewrite lora with ggml-backend and compute on CPU

ggml-ci

* llama : only map to a backend buffer the region of the file mapping containing the tensors used in the buffer

* opencl : add ggml-backend buffer type

* cuda : only use batched_cublas with batched mat muls (fixes fp16 tg perf)

* llama : on Metal, by default offload the full model

ggml-ci

* metal : page align the data ptr (#4854)

* Apply suggestions from code review

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

* cuda : fix split buffer free

* address review comments

* llama-bench : add split-mode parameter

* fix whitespace

* opencl : fix double initialization

* server : add --split-mode parameter

* use async copy and compute to improve multi-gpu performance

ggml-ci

* use async memcpys to copy the graph outputs to the CPU

* fix opencl

* use a host buffer for the cpu compute buffer for faster copies to the gpu

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
2024-01-12 20:07:38 +01:00
..
base64.hpp llava : expose as a shared library for downstream projects (#3613) 2023-11-07 00:36:23 +03:00
build-info.cpp.in build : link against build info instead of compiling against it (#3879) 2023-11-02 08:50:16 +02:00
CMakeLists.txt cmake : fix ld warning duplicate libraries libllama.a (#4671) 2023-12-29 16:39:15 +02:00
common.cpp llama : ggml-backend integration (#4766) 2024-01-12 20:07:38 +01:00
common.h llama : ggml-backend integration (#4766) 2024-01-12 20:07:38 +01:00
console.cpp check C++ code with -Wmissing-declarations (#3184) 2023-09-15 15:38:27 -04:00
console.h gguf : new file format with flexible meta data (beta) (#2398) 2023-08-21 23:07:43 +03:00
grammar-parser.cpp grammar-parser : fix typo (#4318) 2023-12-04 09:57:35 +02:00
grammar-parser.h gguf : new file format with flexible meta data (beta) (#2398) 2023-08-21 23:07:43 +03:00
log.h english : use typos to fix comments and logs (#4354) 2023-12-12 11:53:36 +02:00
sampling.cpp server : allow to specify custom prompt for penalty calculation (#3727) 2023-12-23 11:31:49 +02:00
sampling.h server : allow to specify custom prompt for penalty calculation (#3727) 2023-12-23 11:31:49 +02:00
stb_image.h examples: support LLaVA v1.5 (multimodal model) (#3436) 2023-10-12 18:23:18 +03:00
train.cpp train : fix typo in overlapping-samples help msg (#4758) 2024-01-03 19:53:40 +02:00
train.h sync : ggml (backend v2) (#3912) 2023-11-13 14:16:23 +02:00