Georgi Gerganov
114ab6347e
sampling : fix off-by-one in tail-free sampling
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ggml-ci
2024-09-23 11:44:55 +03:00
Georgi Gerganov
37f8c7b4c9
perplexity : remove extra new lines after chunks ( #9596 )
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2024-09-23 11:28:02 +03:00
Georgi Gerganov
bf9c1013ac
metal : use F32 prec for K*Q in vec FA ( #9595 )
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ggml-ci
2024-09-23 11:27:47 +03:00
Akarshan Biswas
e62e9789cd
Revert "[SYCL] fallback mmvq ( #9088 )" ( #9579 )
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This reverts commit 50addec9a5
.
2024-09-23 11:28:06 +08:00
R0CKSTAR
c35e586ea5
musa: enable building fat binaries, enable unified memory, and disable Flash Attention on QY1 (MTT S80) ( #9526 )
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* mtgpu: add mp_21 support
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
* mtgpu: disable flash attention on qy1 (MTT S80); disable q3_k and mul_mat_batched_cublas
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
* mtgpu: enable unified memory
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
* mtgpu: map cublasOperation_t to mublasOperation_t (sync code to latest)
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
---------
Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
2024-09-22 16:55:49 +02:00
Molly Sophia
912c331d3d
Fix merge error in #9454 ( #9589 )
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Signed-off-by: Molly Sophia <mollysophia379@gmail.com>
2024-09-22 15:26:50 +02:00
Johannes Gäßler
a5b57b08ce
CUDA: enable Gemma FA for HIP/Pascal ( #9581 )
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2024-09-22 09:34:52 +02:00
Shankar
ecd5d6b65b
llama: remove redundant loop when constructing ubatch ( #9574 )
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2024-09-22 04:30:34 +02:00
Molly Sophia
2a63caaa69
RWKV v6: RWKV_WKV op CUDA implementation ( #9454 )
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* ggml: CUDA unary op EXP
Signed-off-by: Molly Sophia <mollysophia379@gmail.com>
* ggml: rwkv_wkv op CUDA impl
Signed-off-by: Molly Sophia <mollysophia379@gmail.com>
---------
Signed-off-by: Molly Sophia <mollysophia379@gmail.com>
2024-09-22 04:29:12 +02:00
slaren
d09770cae7
ggml-alloc : fix list of allocated tensors with GGML_ALLOCATOR_DEBUG ( #9573 )
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2024-09-21 14:24:23 +02:00
agray3
41f477879f
Update CUDA graph on scale change plus clear nodes/params ( #9550 )
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* Avoid using saved CUDA graph if scale changes and reset nodes/params on update
Fixes https://github.com/ggerganov/llama.cpp/issues/9451
* clear before resize
2024-09-21 02:41:07 +02:00
Huang Qi
e948a7da7a
CI: Provide prebuilt windows binary for hip ( #9467 )
2024-09-21 02:39:41 +02:00
slaren
63351143b2
quantize : improve type name parsing ( #9570 )
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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
Georgi Gerganov
d13edb17ed
ggml : fix builds ( #0 )
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ggml-ci
2024-09-20 21:15:05 +03:00
Georgi Gerganov
27609c49b9
ggml : fix trailing whitespace ( #0 )
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ggml-ci
2024-09-20 21:15:05 +03:00
Georgi Gerganov
4301535326
sync : ggml
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ggml-ci
2024-09-20 21:15:05 +03:00
Johannes Gäßler
424c5d00a9
ggml/examples: add backend support for numerical optimization (ggml/949)
...
* CUDA eval works
* stochastic gradient descent op
* Adam except decay
* CUDA CROSS_ENTROPY_LOSS_BACK
* CUDA mnist-fc training works
* backend CLI arg
* refactor gguf load
* remove sched from opt_step_adam
* implement l1 regularization (weight decay)
* extra call to add optimizer
* initialize gradients with ggml_graph_reset
* gradient accumulation
* increment iter per eval instead of epoch
* adjust backend interfaces
* fix ggml_graph_reset without backend
* fix ggml graph export/import
* fixup
* rename
* revert ggml_opt changes
* more general CUDA repeat_back
* update documentation, fix CNN
* validation split
* add clarifying comment
* optimize PyTorch training
* adjust buffer size, thread count
* fix 0.0f validation split
* Update examples/mnist/mnist-common.cpp
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* fix gradient accumulation
* tensor flag for accumulators -> tensor hash set
* Update include/ggml.h
Co-authored-by: slaren <slarengh@gmail.com>
* Update tests/test-backend-ops.cpp
Co-authored-by: slaren <slarengh@gmail.com>
* Update tests/test-backend-ops.cpp
Co-authored-by: slaren <slarengh@gmail.com>
* fix test prints
* Update src/ggml-backend.c
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* better CUDA support for noncontiguous out_prod
* add comment
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Co-authored-by: slaren <slarengh@gmail.com>
2024-09-20 21:15:05 +03:00
Georgi Gerganov
a6809c6a2e
examples : add null threadpool args where needed (ggml/0)
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ggml-ci
2024-09-20 21:15:05 +03:00
Johannes Gäßler
5cb12f6839
CUDA: fix sum.cu compilation for CUDA < 11.7 ( #9562 )
2024-09-20 18:35:35 +02:00
Georgi Gerganov
d39e26741f
examples : flush log upon ctrl+c ( #9559 )
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2024-09-20 11:46:56 +03:00
Sigbjørn Skjæret
722ec1eb51
perplexity : do not escape input data by default ( #9548 )
2024-09-20 09:38:10 +03:00
Georgi Gerganov
6026da52d6
server : clean-up completed tasks from waiting list ( #9531 )
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ggml-ci
2024-09-19 12:44:53 +03:00
Sigbjørn Skjæret
eca0fab44e
imatrix : disable prompt escape by default ( #9543 )
2024-09-19 10:58:14 +03:00
slaren
64c6af3195
ggml : fix n_threads_cur initialization with one thread ( #9538 )
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* 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
Georgi Gerganov
0d2f22e45c
scripts : verify py deps at the start of compare ( #9520 )
2024-09-18 18:34:32 +03:00
Daniel Bevenius
6443ddd985
llama : use reserve/emplace_back in sampler_sample ( #9534 )
...
This commit updates the llama_sampler_sample function to use reserve and
emplace_back for the vector of llama_token_data structs.
The motivation for this change is to avoid the creation of n_vocab
default-constructed llama_token_data structs which are then
immediately overwritten.
2024-09-18 14:42:36 +03:00
Vinesh Janarthanan
8a308354f6
server : match OAI structured output response ( #9527 )
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2024-09-18 09:50:34 +03:00
Eric Zhang
f799155ab8
server : fix OpenSSL build (remove obsolete LOG_INFO
) ( #9529 )
2024-09-18 09:28:20 +03:00
Neo Zhang Jianyu
faf67b3de4
[SYCL]set context default value to avoid memory issue, update guide ( #9476 )
...
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* set context default to avoid memory issue, update guide
* Update docs/backend/SYCL.md
Co-authored-by: Meng, Hengyu <hengyu.meng@intel.com>
---------
Co-authored-by: arthw <14088817+arthw@users.noreply.github.com>
Co-authored-by: Meng, Hengyu <hengyu.meng@intel.com>
2024-09-18 08:30:31 +08:00
Michael Podvitskiy
7be099fa81
llama-bench: correct argument parsing error message ( #9524 )
2024-09-17 22:41:38 +02:00
Bert Wagner
8b836ae731
arg : add env variable for parallel ( #9513 )
...
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* add env variable for parallel
* Update README.md with env: LLAMA_ARG_N_PARALLEL
2024-09-17 16:35:38 +03:00
Michael Podvitskiy
8344ef58f8
llama : fix n_vocab init for 'no_vocab' case ( #9511 )
...
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* llama: fixed n_vocab for `no_vocab` models
* llama: updated error output for `llama_decode_internal` and `llama_encode_internal`
* llama: log warning if there's no vocab_size in metadata
* llama: correct vocab size for logging
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-09-17 13:18:22 +03:00
Max Krasnyansky
0226613853
threadpool : skip polling for unused threads ( #9461 )
...
* threadpool: skip polling for unused threads
Currently all threads do N polling rounds even if only 1 thread is active (n_threads_cur == 1).
This commit adds a check to skip the polling for unused threads (ith >= n_threads_cur).
n_threads_cur is now an atomic_int to explicitly tell thread sanitizer that it is written
from one thread and read from other threads (not a race conditions).
* threadpool: further simplify and improve ggml_barrier
Avoid using strict memory order while polling, yet make sure that all threads go through
full memory barrier (memory fence) on ggml_barrier entrace and exit.
* threads: add simple barrier test
This test does lots of small, parallel matmul ops where the barriers in between dominate the overhead.
* threadpool: improve thread sync for new-graphs
Using the same tricks as ggml_barrier. All the polling is done with relaxed memory order
to keep it efficient, once the new graph is detected we do full fence using read-modify-write
with strict memory order.
* threadpool: improve abort handling
Do not use threadpool->ec (exit code) to decide whether to exit the compute loop.
threadpool->ec is not atomic which makes thread-sanitizer rightfully unhappy about it.
Instead introduce atomic threadpool->abort flag used for this. This is consistent with
how we handle threadpool->stop or pause.
While at it add an explicit atomic_load for n_threads_cur for consistency.
* test-barrier: release threadpool before releasing the context
fixes use-after-free detected by gcc thread-sanitizer on x86-64
for some reason llvm sanitizer is not detecting this issue.
2024-09-17 11:19:46 +03:00
Yuri Khrustalev
503147a9f9
unicode : add <algorithm> ( #9508 )
2024-09-17 09:51:15 +03:00
Gabe Goodhart
0d2ec43833
llama : support IBM Granite architecture ( #9412 )
...
* feat(gguf-py): Add Granite model and params to gguf-py
Branch: GraniteLM
Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>
* feat(convert_hf_to_gguf): Add registration and param setup for Granite
Branch: GraniteLM
Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>
* feat(llama.cpp): Add config parsing for Granite multiplier params
Branch: GraniteLM
Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>
* feat(llama.cpp): First pass at full port of granite deviations from llama
Something is still not working right since the results are mostly terrible,
but on occasion it's producing relevant results at this point, so
_something_ is working.
Branch: GraniteLM
Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>
* fix(llama.cpp): Determine granite language 3b instruct by vocab size
Branch: GraniteLM
Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>
* fix(convert_hf_to_gguf): Use LlamaModel as base for GraniteModel
The defaults in LlamaModel are needed for Granite as well
Branch: GraniteLM
Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>
* fix(llama.cpp): Switch Granite param names to use _scale for consistency
Other scalar multipliers are called *_scale, so this provides a more
consistent naming convention.
Branch: GraniteLM
Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>
* fix(convert_hf_to_gguf/gguf-py): _multiplier -> _scale
The transformers names with _multiplier will now be converted to the _scale
equivalent during conversion.
Branch: GraniteLM
Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>
* fix(llama.cpp): Use separate switch clause for granite in llm_load_hparams
Branch: GraniteLM
Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>
---------
Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>
2024-09-17 09:44:58 +03:00
Michael Podvitskiy
37f3a3810e
llama : add llama_n_head() ( #9512 )
2024-09-17 09:23:30 +03:00
slaren
23e0d70bac
ggml : move common CPU backend impl to new header ( #9509 )
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2024-09-16 16:22:07 +02:00
Daniel Bevenius
acb2c32c33
llama : rename n_embed to n_embd in rwkv6_time_mix ( #9504 )
...
This commit renames n_embed to n_embd in llm_build_rwkv6_time_mix.
The motivation for this change is consistency with the other rwkv6
functions like build_rwkv6 (and other parts of the code base).
2024-09-16 14:07:13 +03:00
Michael Podvitskiy
a6a3a5c531
ggml : link MATH_LIBRARY not by its full path ( #9339 )
2024-09-16 14:06:50 +03:00
compilade
d54c21df7e
convert : identify missing model files ( #9397 )
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2024-09-16 10:30:22 +03:00
Georgi Gerganov
19514d632e
cmake : do not hide GGML options + rename option ( #9465 )
...
* cmake : do not hide GGML options
ggml-ci
* build : rename flag GGML_CUDA_USE_GRAPHS -> GGML_CUDA_GRAPHS
for consistency
ggml-ci
2024-09-16 10:27:50 +03:00
Eve
5c3d0f1824
ggml : IQ4_NL sgemm + Q4_0 AVX optimization ( #9422 )
...
* squashed
readd my iq4_nl sgemm PR https://github.com/ggerganov/llama.cpp/pull/8049
have ggml_vec_dot_q4_0 do two blocks per loop for avx
try out f16c ggml_vec_dot_iq4_nl, but it's not really faster. as per https://github.com/ggerganov/llama.cpp/pull/8549 we can calculate several blocks at a time with no issue
* shuffle
* remove f16c iq4_nl as i cant make it faster than before
2024-09-16 09:48:24 +03:00
Shane A
0aadac10c7
llama : support OLMoE ( #9462 )
2024-09-16 09:47:37 +03:00
CarryFun
95ca85168b
llama : support MiniCPM3 ( #9322 )
...
Co-authored-by: 范睿凯 <fanruikai@modelbest.cn>
2024-09-16 09:45:20 +03:00
Vinesh Janarthanan
441b72b91f
main : option to disable context shift ( #9484 )
...
* added cli arg to disable context shift
* reverted precommit
* updated README.md for main
* white space
* allow disabling context shift in the server
* Update common/arg.cpp
no-context-shift only works for main example
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
* added server example to --no-context-shift args
* removed server changes
* white space
---------
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-09-16 09:20:01 +03:00
Georgi Gerganov
c4965a64f7
metal : handle zero-sized allocs ( #9466 )
2024-09-16 09:05:56 +03:00
Georgi Gerganov
90a2fff0e7
flake.lock: Update ( #9488 )
2024-09-15 19:14:23 -07:00
Georgi Gerganov
6262d13e0b
common : reimplement logging ( #9418 )
...
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https://github.com/ggerganov/llama.cpp/pull/9418
2024-09-15 20:46:12 +03:00
slaren
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
Michael Podvitskiy
6988da94a2
cmake : correct order of sycl flags ( #9497 )
2024-09-15 19:55:52 +03:00