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Author SHA1 Message Date
Diego DevesaandGitHub 85679d37f3 llama : improve output buffer type selection (#10098) 2024-11-01 00:49:53 +01:00
Diego DevesaandGitHub 1e9f94994e quantize : fix --keep-split (#10114) 2024-11-01 00:45:34 +01:00
Diego DevesaandGitHub c02e5ab2a6 llama : fix buffer checks for mamba and rwk (#10111) 
* llama : fix buffer checks for mamba and rwk

* llama : fix missing worst case flag during reserve

* cuda : fix supports_op for norm

* disable sched SET_CAUSE
 2024-10-31 22:54:23 +01:00
Diego DevesaandGitHub dea5e86051 ggml : check tensor name lengths in gguf files (#10100) 2024-10-31 11:40:59 +01:00
Diego DevesaandGitHub b9e02e8184 ggml : fix memory leaks when loading invalid gguf files (#10094) 
* ggml : fix gguf string leak when reading kv pairs fails

* ggml : avoid crashing with GGML_ABORT when the KV has an invalid type

* ggml : avoid crashing on failed memory allocations when loading a gguf file
 2024-10-30 14:51:21 +01:00
Diego DevesaandGitHub c5b0f4b5d9 llama : refactor model loader with backend registry (#10026) 2024-10-30 02:01:23 +01:00
Diego DevesaandGitHub f010b77a37 vulkan : add backend registry / device interfaces (#9721) 
* vulkan : add backend registry / device interfaces

* llama : print devices used on model load
 2024-10-17 02:46:58 +02:00
Diego DevesaandGitHub 96776405a1 ggml : move more prints to the ggml log system (#9839) 
* ggml : move more prints to the ggml log system

* show BLAS OpenMP warnings in all builds using debug print
 2024-10-11 15:34:45 +02:00
Diego DevesaGitHubGeorgi Gerganov
 		7eee341bee common : use common_ prefix for common library functions (#9805) 
* common : use common_ prefix for common library functions

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
 2024-10-10 22:57:42 +02:00
Diego DevesaandGitHub 0e9f760eb1 rpc : add backend registry / device interfaces (#9812) 
* rpc : add backend registry / device interfaces

* llama : add llama_supports_rpc API

* ggml_backend_rpc_start_rpc_server -> ggml_backend_rpc_start_server
 2024-10-10 20:14:55 +02:00
Diego DevesaandGitHub c7499c557c examples : do not use common library in simple example (#9803) 
* examples : do not use common library in simple example

* add command line parser, simplify code
 2024-10-10 19:50:49 +02:00
Diego DevesaandGitHub c81f3bbb05 cmake : do not build common library by default when standalone (#9804) 2024-10-09 18:49:52 +02:00
Diego DevesaandGitHub dca1d4b58a ggml : fix BLAS with unsupported types (#9775) 
* ggml : do not use BLAS with types without to_float

* ggml : return pointer from ggml_internal_get_type_traits to avoid unnecessary copies

* ggml : rename ggml_internal_get_type_traits -> ggml_get_type_traits

it's not really internal if everybody uses it
 2024-10-08 14:21:43 +02:00
Diego DevesaandGitHub 6374743747 ggml : add backend registry / device interfaces to BLAS backend (#9752) 
* ggml : add backend registry / device interfaces to BLAS backend

* fix mmap usage when using host buffers
 2024-10-07 21:55:08 +02:00
Diego DevesaandGeorgi Gerganov ff565769f2 ggml : fixes after sync (ggml/983) 
ggml : remove test-backend-buffer

ggml : fix CUDA build warnings
 2024-10-04 18:50:04 +03:00
Diego DevesaandGitHub a7ad553513 ggml-backend : add device description to CPU backend (#9720) 2024-10-03 17:39:18 +02:00
Diego DevesaGitHubJohannes Gäßler
 		c83ad6d01e ggml-backend : add device and backend reg interfaces (#9707) 
Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
 2024-10-03 01:49:47 +02:00
slarenandGitHub 1b2f992cd2 test-backend-ops : use flops for some performance tests (#9657) 
* test-backend-ops : use flops for some performance tests

- parallelize tensor quantization

- use a different set of cases for performance and correctness tests

- run each test for at least one second
 2024-09-28 14:32:46 +02:00
slarenandGitHub d09770cae7 ggml-alloc : fix list of allocated tensors with GGML_ALLOCATOR_DEBUG (#9573) 2024-09-21 14:24:23 +02:00
slarenandGitHub 63351143b2 quantize : improve type name parsing (#9570) 
quantize : do not ignore invalid types in arg parsing

quantize : ignore case of type and ftype arguments
 2024-09-20 20:55:36 +02:00
slarenGitHubMax Krasnyansky
 		64c6af3195 ggml : fix n_threads_cur initialization with one thread (#9538) 
* ggml : fix n_threads_cur initialization with one thread

* Update ggml/src/ggml.c

---------

Co-authored-by: Max Krasnyansky <quic_maxk@quicinc.com>
 2024-09-18 10:13:08 -07:00
slarenandGitHub 23e0d70bac ggml : move common CPU backend impl to new header (#9509) 2024-09-16 16:22:07 +02:00
slarenandGitHub e6deac31f7 gguf-split : add basic checks (#9499) 
* gguf-split : do not overwrite existing files when merging

* gguf-split : error when too many arguments are passed
 2024-09-15 19:02:27 +02:00
slarenandGitHub 1b28061400 llama : skip token bounds check when evaluating embeddings (#9437) 2024-09-11 17:52:13 +02:00
slarenandGitHub 49006c67b4 llama : move random seed generation to the samplers (#9398) 
* llama_sampler_penalties : clamp penalty_last_n to zero
 2024-09-10 18:04:25 +02:00
slarenandGitHub fb3f249815 make : do not run llama-gen-docs when building (#9399) 2024-09-10 09:23:33 +03:00
slarenandGitHub 5fb5e24811 llama : minor sampling refactor (2) (#9386) 2024-09-09 17:10:46 +02:00
slarenandGitHub a249843d89 common : restore --n-gpu-layers (#9371) 2024-09-08 16:44:42 +02:00
slarenandGitHub 19f4a7b296 llama : refactor samplers internal implementation (#9370) 2024-09-08 15:52:07 +02:00
slarenandGitHub eae597182c llama : sanitize tokens in the upper bound (#9359) 2024-09-08 12:41:51 +02:00
slarenandGitHub e32d0816ed ggml : always check bounds on get_rows operations (#9354) 2024-09-07 20:23:07 +02:00
slarenandGitHub 6c89eb0b47 ci : disable rocm image creation (#9340) 2024-09-07 10:48:54 +03:00
slarenandGitHub 4db04784f9 cuda : fix defrag with quantized KV (#9319) 2024-09-05 11:13:11 +02:00
slarenandGitHub bdf314f38a llama-bench : fix NUL terminators in CPU name (#9313) 2024-09-05 02:19:39 +02:00
slarenandGitHub 048de848ee docker : fix missing binaries in full-cuda image (#9278) 2024-09-02 18:11:13 +02:00
slarenandGitHub 9fe94ccac9 docker : build images only once (#9225) 2024-08-28 17:28:00 +02:00
slarenandGitHub 66b039a501 docker : update CUDA images (#9213) 2024-08-28 13:20:36 +02:00
slarenandGitHub 7d787ed96c ggml : do not crash when quantizing q4_x_x with an imatrix (#9192) 2024-08-26 19:44:43 +02:00
slarenandGitHub 0c41e03ceb metal : gemma2 flash attention support (#9159) 2024-08-26 11:08:59 +02:00
slarenandGitHub f12ceaca0c ggml-ci : try to improve build time (#9160) 2024-08-26 11:03:30 +02:00
slarenandGitHub 6e02327e8b metal : fix uninitialized abort_callback (#8968) 2024-08-10 15:42:10 +02:00
slarenandGitHub 15fa07a5c5 make : use C compiler to build metal embed object (#8899) 
* make : use C compiler to build metal embed object

* use rm + rmdir to avoid -r flag in rm
 2024-08-07 18:24:05 +02:00
slarenandGitHub be55695eff ggml-backend : fix async copy from CPU (#8897) 
* ggml-backend : fix async copy from CPU

* cuda : more reliable async copy, fix stream used when the devices are the same
 2024-08-07 13:29:02 +02:00
slarenandGitHub 7a11eb3a26 cuda : fix dmmv cols requirement to 2*GGML_CUDA_DMMV_X (#8800) 
* cuda : fix dmmv cols requirement to 2*GGML_CUDA_DMMV_X

* update asserts

* only use dmmv for supported types

* add test
 2024-08-01 15:26:22 +02:00
slarenandGitHub 2b1f616b20 ggml : reduce hash table reset cost (#8698) 
* ggml : reduce hash table reset cost

* fix unreachable code warnings after GGML_ASSERT(false)

* GGML_ASSERT(false) -> GGML_ABORT("fatal error")

* GGML_ABORT use format string
 2024-07-27 04:41:55 +02:00
slarenGitHubGeorgi Gerganov
 		87e397d00b ggml : fix quant dot product with odd number of blocks (#8549) 
* ggml : fix iq4_nl dot product with odd number of blocks

* ggml : fix odd blocks for ARM_NEON (#8556)

* ggml : fix iq4_nl dot product with odd number of blocks

* ggml : fix q4_1

* ggml : fix q5_0

* ggml : fix q5_1

* ggml : fix iq4_nl metal

ggml-ci

* ggml : fix q4_0

* ggml : fix q8_0

ggml-ci

* ggml : remove special Q4_0 code for first 2 blocks

* ggml : fix sumf redefinition

---------

Co-authored-by: slaren <slarengh@gmail.com>

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
 2024-07-19 17:17:27 +02:00
slarenandGitHub 5f2d4e60e2 ppl : fix n_seq_max for perplexity (#8277) 
* ppl : fix n_seq_max for perplexity

* use 1 seq for kl_divergence
 2024-07-03 20:33:31 +03:00
slarenandGitHub 0e0590adab cuda : update supports_op for matrix multiplication (#8245) 2024-07-02 09:39:38 +03:00
slarenandGitHub b851b3fba0 cmake : allow user to override default options (#8178) 2024-06-28 12:37:45 +02:00
slarenandGitHub 8172ee9da9 cmake : fix deprecated option names not working (#8171) 
* cmake : fix deprecated option names not working

* remove LlAMA_OPENMP
 2024-06-27 20:04:39 +02:00
slarenandGitHub ae5d0f4b89 ci : publish new docker images only when the files change (#8142) 2024-06-26 21:59:28 +02:00
slarenandGitHub 31ec3993f6 ggml : add GGML_CUDA_USE_GRAPHS option, restore GGML_CUDA_FORCE_CUBLAS (cmake) (#8140) 2024-06-26 21:34:14 +02:00
slarenandGitHub c7ab7b612c make : fix missing -O3 (#8143) 2024-06-26 21:20:22 +03:00
slarenandGitHub dd047b476c disable docker CI on pull requests (#8110) 2024-06-25 19:20:06 +02:00
slarenandGitHub 8cb508d0d5 disable publishing the full-rocm docker image (#8083) 2024-06-24 08:36:11 +03:00
slarenandGitHub 95f57bb5d5 ggml : remove ggml_task_type and GGML_PERF (#8017) 
* ggml : remove ggml_task_type and GGML_PERF

* check abort_callback on main thread only

* vulkan : remove usage of ggml_compute_params

* remove LLAMA_PERF
 2024-06-24 03:07:59 +02:00
slarenandGitHub b6b9a8e606 fix CI failures (#8066) 
* test-backend-ops : increase cpy max nmse

* server ci : disable thread sanitizer
 2024-06-23 13:14:45 +02:00
slarenandGitHub 9c77ec1d74 ggml : synchronize threads using barriers (#7993) 2024-06-19 15:04:15 +02:00
slarenandGitHub 99052cd227 sched : offload_op also requires supports_op (#7977) 2024-06-17 16:51:42 +02:00
slarenGitHubGeorgi Gerganov
 		f578b86b21 move BLAS to a separate backend (#6210) 
* move BLAS to a separate backend

* rename GGML_USE_OPENBLAS to GGML_USE_BLAS

* alloc : reuse same buffer when the same buffer type if used multiple times

* set number of threads automatically for openblas and blis

* sched : print assignments when GGML_SCHED_DEBUG env variable is set

* sched : allow ops with weights on an incompatible buffer type

This will cause the weight to be copied to a backend that supports the
op, which is very costly. The weight should have been stored in a buffer
of a backend that can run the op, but llama.cpp cannot do this
automatically at the moment.

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
 2024-06-13 03:11:35 +02:00
slarenandGitHub c2ce6c47e4 fix CUDA CI by using a windows-2019 image (#7861) 
* try to fix CUDA ci with --allow-unsupported-compiler

* trigger when build.yml changes

* another test

* try exllama/bdashore3 method

* install vs build tools before cuda toolkit

* try win-2019
 2024-06-11 08:59:20 +03:00
slarenandGitHub fd5ea0f897 ci : try win-2019 on server windows test (#7854) 2024-06-10 15:18:41 +03:00
slarenandGitHub fe1e3917cf Revert "[SYCL] Update rpc-server.cpp to include SYCL backend (#7682)" (#7808) 
This reverts commit 9422c5e34b.
 2024-06-09 01:43:39 +02:00
slarenGitHub0cc4m
 		da799b4189 vulkan : reuse parent extra for views (#7806) 
* vulkan : reuse parent extra for views

* Fix validation error when multiple compute contexts are used in a graph

---------

Co-authored-by: 0cc4m <picard12@live.de>
 2024-06-07 19:47:49 +02:00
slarenandGitHub c9ee7118d5 check for nans in imatrix and quantize (#7807) 
* imatrix : detect nan/inf values

* quantize : check imatrix for nan/inf values
 2024-06-07 09:01:29 +03:00
slarenandGitHub 2d08b7fbb4 docker : build only main and server in their images (#7782) 
* add openmp lib to dockerfiles

* build only main and server in their docker images
 2024-06-06 08:19:49 +03:00
slarenandGitHub d67caea0d6 docker : add openmp lib (#7780) 2024-06-06 08:17:21 +03:00
slarenandGitHub adc9ff3841 llama-bench : allow using a different printer for stderr with -oe (#7722) 
compare-commits.sh : hide stdout, use -oe to print markdown
 2024-06-04 14:32:42 +02:00
slarenandGitHub 87bdf2a199 ggml : use atomic_flag for critical section (#7598) 
* ggml : use atomic_flag for critical section

* add windows shims
 2024-05-29 13:36:39 +02:00
slarenandGitHub b18532a4ef phi3 : duplicate rope factors in each layer (#7447) 
* phi3 : duplicate rope factors in each layer

phi3 : set phi-3 model type as 14B

model loader : simplify the process for duplicating model tensors

llama-bench : remove default pg test

* replace bool parameters in llama_model_loader with named flags
 2024-05-22 16:10:46 +02:00
slarenandGitHub d359f30921 llama : remove MPI backend (#7395) 2024-05-20 01:17:03 +02:00
slarenandGitHub e4e6f67be6 ggml : fix another case of quants nans (#7387) 2024-05-19 17:08:46 +02:00
slarenandGitHub ab33f7a338 cuda : clear error after buffer allocation failure (#7376) 2024-05-19 14:19:37 +02:00
slarenandGitHub 05834841dc ggml : fix quants nans when all the group weights are very close to zero (#7313) 2024-05-18 02:39:54 +02:00
slarenandGitHub 344f9126cc ggml : tag ggml_tensor::backend as deprecated (#7290) 2024-05-15 15:08:48 +02:00
slarenandGitHub 541600201e llama : disable pipeline parallelism with nkvo (#7265) 2024-05-14 17:33:42 +10:00
slarenandGitHub b228aba91a remove convert-lora-to-ggml.py (#7204) 2024-05-12 02:29:33 +02:00
slarenandGitHub e849648888 llama-bench : add pp+tg test type (#7199) 2024-05-10 18:03:54 +02:00
slarenandGitHub 25c6e82e7a llama : use n_vocab to differentiate between mistral 7B and llama3 8B (#7200) 2024-05-10 14:28:01 +02:00
slarenandGitHub eaf4bd8b39 eval-callback : fix conversion to float (#7184) 2024-05-10 01:04:12 +02:00
slarenandGitHub c4ec9c0d3d ci : exempt confirmed bugs from being tagged as stale (#7014) 2024-05-01 08:13:59 +03:00
slarenandGitHub 017e6999b5 add basic tensor data validation function (#6884) 
* add basic tensor data validation function

* add --check-tensors command line argument

tensor validation is disabled by default and can be enabled by adding
`--check-tensors` to the command line arguments.

quantize always validates tensors.
 2024-04-26 18:39:58 +02:00
slarenandGitHub e2764cd7ca gguf : fix mismatch between alloc and free functions (#6929) 2024-04-26 18:07:42 +03:00
slarenandGitHub d6e1d44f16 llama : synchronize before get/set session data (#6911) 2024-04-25 17:59:03 +02:00
slarenandGitHub 0ead1f1072 llama : check that all the tensor data is in the model file (#6885) 
* llama : check that all the tensor data is in the model file

* also check for unsigned overflow
 2024-04-25 15:23:47 +02:00
slarenGitHubGeorgi Gerganov
 		0d56246f4b ggml : group all experts in a single ggml_mul_mat_id (#6505) 
* ggml : group all experts in a single ggml_mul_mat_id
cuda : improve mmid row copy

* cuda : fix bin bcast with non-cont src0

* test-backend-ops : only run all mul mat tests for base types

* llama : disable moe offloading with SYCL

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
 2024-04-18 15:18:48 +02:00
slarenandGitHub c71bfd736e llama : fix compatibility with old 2 expert models (#6735) 2024-04-18 10:04:47 +03:00
slarenandGitHub fbbc030ba9 metal : unify mul_mv_id kernels (#6556) 2024-04-12 18:13:20 +02:00
slarenandGitHub 4f407a0a35 llama : add model types for mixtral (#6589) 2024-04-10 17:24:14 +02:00
slarenandGitHub 65c64dc36f convert.py : add consolidated.safetensors for mixtral 8x22b (#6587) 2024-04-10 15:23:12 +02:00
slarenGitHubGeorgi Gerganov
 		08a0c02060 ggml : mul_mat_id use the same tensor for all the experts (#6387) 
* ggml : update mul_mat_id to use the same tensor for all the experts

* update cuda

* minor

* update metal

* update test-backend-ops

* fix cuda

* Update ggml-metal.m

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

* update convert.py

* update convert-hf-to-gguf.py

* update convert.py for mixtral hf models

* Update convert-hf-to-gguf.py

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

* cuda : support non-pow-2 number of experts

* allow quantize to work for split and merged experts models in the same way

* cleanup + disable mmap automatically with split tensors models

* update imatrix

* test-backend-ops : test qwen argsort

* update grok model loading

* llama : add merged experts tensors to the grok tensor map

* minor

* gguf : bump version

* fix quantizing of merged experts

* convert-hf-to-gguf.py : update grok (untested)

* make linter happy

* cuda/argsort : use shared memory instead of pool memory

* convert : fix grok tensor names

* metal : add support for non-pow-2 argsort

* llama : more loader cleanup, better error checking

* cuda : fix warning

* llama : still use mmap for loading old models, but copy the data to a host buffer

* add review note

* llama : remove ffn tensor counting + add sanity check

ggml-ci

* convert : fix handling of n_experts == None

ggml-ci

* imatrix : fix ncall counters

* llama : produce error if imatrix size does not match

* quantize : terminate on errors + trace logs

ggml-ci

* metal : pad shared memory to 16 bytes

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
 2024-04-03 16:07:05 +03:00
slarenandGitHub e5b89a441a ggml : fix bounds checking of zero size views (#6347) 2024-03-27 15:07:50 +01:00
slarenandGitHub 280345968d cuda : rename build flag to LLAMA_CUDA (#6299) 2024-03-26 01:16:01 +01:00
slarenandGitHub 2f34b865b6 cuda : fix LLAMA_CUDA_F16 build (#6298) 2024-03-25 16:43:22 +02:00
slarenandGitHub ae1f211ce2 cuda : refactor into multiple files (#6269) 2024-03-25 13:50:23 +01:00
slarenandGitHub 2f0e81e053 cuda : add LLAMA_CUDA_NO_PEER_COPY to workaround broken ROCm p2p copy (#6208) 
* cuda : add LLAMA_CUDA_NO_PEER_COPY to workaround broken ROCm p2p copy

* add LLAMA_CUDA_NO_PEER_COPY to HIP build
 2024-03-22 14:05:31 +01:00
slarenandGitHub d0a71233fb cuda : disable host register by default (#6206) 2024-03-21 20:54:28 +02:00
slarenandGitHub 03a8f8fafe cuda : fix LLAMA_CUDA_F16 build (#6197) 2024-03-21 14:59:53 +02:00
slarenandGitHub 42e21c6882 cuda : fix conflict with std::swap (#6186) 2024-03-21 01:47:46 +01:00
slarenandGitHub 1c51f98adc cuda : print the returned error when CUDA initialization fails (#6185) 2024-03-20 21:03:26 +01:00