Commit Graph

2418 Commits

Author SHA1 Message Date
Georgi Gerganov
549a1e6cd5
ci : fix yolo URLs + fix metal capture (ggml/712) 2024-01-30 16:20:25 +02:00
Jack Mousseau
5f14ee0b0c
metal : add debug capture backend function (ggml/694)
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-01-30 16:20:25 +02:00
Kawrakow
8e14e3ddb3
Faster AVX2 dot product for IQ2_XS (#5187)
* iq2xs: faster AVX2 dot product

* iq2xs: small AVX2 imrovement

* Speed up computing sign bits in AVX2 iq2_xs dot product

---------

Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
Co-authored-by: Peter Reid <peter@peterreid.net>
2024-01-30 15:15:07 +02:00
Kawrakow
f4d7e54974
SOTA 3-bit quants (#5196)
* iq3_xxs: quantize/dequantize

RMSE seems a bit high-ish at about half-way between q2_K and
q3_K, so need to check more.

* iq3_xxs: CUDA dequantize works

* iq2_xxs: tuning quantization

* iq3_xxs: starting to look better

PPL on wiki.test.raw
LLaMA-v1-7B: 6.4218
LLaMA-v2-7B: 6.3560
Mistral-7B : 6.0717

This is better than Q3_K_XS, with a 5% reduction in quantized model
size.

* iq3_xxs: CUDA dot product

We have
PP-512: 5891 t/s
TG-128: 143.9 t/s

* iq3_xxs: scalar and AVX2 dot products

* iq3_xxs: ARM_NEON and Metal

Metal performance is decent, ARM_NEON is pathetic

* iq3_xxs: slightly better grid points

* Faster iq3_xxs and iq2_xs dot products on CUDA

* iq3_xxs: add some quant mix

* iq3_xxs: fix failing quantization test

Dot product still fails. Is this real?

* iq3_xxs: hopefully fix ROCm

* iq3_xxs: failing tests

This time the dot product accuracy did find an actual bug
in the AVX2 implementation.

* Add IQ3_XXS to test-backend-ops

---------

Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
2024-01-30 15:14:12 +02:00
0cc4m
2256f36b79
Vulkan Windows APU Memory Handling (#5199)
* Add basic UMA memory handling

Improve memory OOM behavior

Fix tests

* Fix UMA handling

* Also fix UMA handling for prealloc buffers

* Remove unnecessary warning message

* Remove outdated comment
2024-01-30 13:59:30 +01:00
Vladimir Malyutin
7359016c7c
quantize : fix typo (#5211)
Fix misprint in quantize help
2024-01-30 12:57:07 +02:00
divinity76
813416991a
main : allow empty --prompt-cache file (#5176)
* allow empty --prompt-cache file

This allows the use of std::tmpnam(), std::tmpfile(), Python's tempfile.NamedTemporaryFile(), and similar create-empty-file API's for the user.

I switched from the C fopen API to the C++ filesystem api to get around the fact that, to the best of my knowledge, C has no portable way to get the file size above LONG_MAX, with std::ftell() returning long? fallback to std::ifstream for c++  < 17
(the project is currently targeting C++11 it seems - file_exists() and file_size() can be removed when we upgrade to c++17)

* formatting

(requested in codereview)

* remove c++17, file_is_empty
2024-01-30 11:18:02 +02:00
Romain Neutron
5589921ef8
readme : minor (#5204)
This is about tuning the code formatting of the README file
2024-01-30 11:16:38 +02:00
Georgi Gerganov
49f44b5c55
readme : update hot topics 2024-01-30 11:14:44 +02:00
Wu Jian Ping
6685cc41c2
server : improve README (#5209) 2024-01-30 11:11:46 +02:00
Paul Tsochantaris
ceebbb5b21
ggml alloc: Fix for null dereference on alloc failure (#5200)
* Fix for a null pointer dereference if a metal GGML buffer fails to be allocated

* Freeing the allocated buffers rather than the pointer in ggml-alloc.c

* Fixed the fix of the fix
2024-01-29 23:19:29 +01:00
Jared Van Bortel
6daa69ee81
kompute : fix fallback to CPU (#5201) 2024-01-29 17:11:27 -05:00
Jared Van Bortel
fbf1ddec69
Nomic Vulkan backend (#4456)
Signed-off-by: Jared Van Bortel <jared@nomic.ai>
Co-authored-by: niansa <anton-sa@web.de>
Co-authored-by: Adam Treat <treat.adam@gmail.com>
Co-authored-by: Aaron Miller <apage43@ninjawhale.com>
Co-authored-by: ToKiNoBug <tokinobug@163.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Co-authored-by: slaren <slarengh@gmail.com>
2024-01-29 15:50:50 -05:00
divinity76
2aed77eb06
fix typo "RLIMIT_MLOCK" (#5175) 2024-01-29 09:45:41 -05:00
Wu Jian Ping
c82d18e863
server : embeddings compatibility for OpenAI (#5190) 2024-01-29 15:48:10 +02:00
Georgi Gerganov
14fef85e2d
py : fix except (#5194)
ggml-ci
2024-01-29 15:35:54 +02:00
Sang-Kil Park
e76627bcce
py : improve BPE tokenizer support (#5189) 2024-01-29 11:24:19 +02:00
slaren
fbe7dfa53c
ggml : add max buffer sizes to opencl and metal backends (#5181) 2024-01-29 10:05:13 +02:00
Eve
172ac82629
cmake : fix Vulkan build (#5182) 2024-01-29 10:04:47 +02:00
Paul Tsochantaris
d2f650cb5b
metal : free metal objects (#5161)
* Releasing MTLFunction references after Metal pipeline construction

* Keeping the `ggml_metal_kernel` structure

* Spacing fix

* Whitespace fix
2024-01-28 21:50:16 +02:00
Georgi Gerganov
35dec26cc2
sync : ggml 2024-01-28 19:48:05 +02:00
Georgi Gerganov
d460510c72
ggml : minor type fix (int64_t -> size_t) 2024-01-28 19:47:31 +02:00
0cc4m
2307523d32
ggml : add Vulkan backend (#2059)
* Vulkan loader code

* Fix matmul kernel, continue implementation

* Continue implementation

* Vulkan memory management

* Vulkan development

* Matmul call

* Add aligned malloc and free for VMA

* Continue implementation

* First matmul success

* GEMM Kernel optimization

* 1D Blocktiling

* 2D Blocktiling

* Write coalescing

* Continue vulkan implementation and optimization

* First FP16 attempt, disabled for now

* Code abstraction, FP16 implementation, fix kernel, add FP16 to FP32 kernel

* Enable device extensions properly, restore fp16 matmul op

* Fix mulmat_f16

* Output FP32 in fp16 matmul shader

* Fix f16_to_f32 kernel

* dequant_q4_0 kernel

* Add VMA library

* Avoid requesting dedicated memory, VMA can decide that by itself

* Add bounds checking to matmul kernels, improve implementation, fix command buffers not freed properly

* add cmake commands

* Add 2d write operation, profiling code

* Fix 2d write

* Fix queue selection for AMD RADV

* Fix trailing whitespace in vk_mem_alloc.h

* Add WIP warp tile mat mul shaders

* Disable glslc optimization

* Disable glslc optimization for CMake

* Optimize warptile matmul shader, replace blocktile with it

* Add split-k optimization for small matrix multiplication

Use semaphores for synchronization instead of fences or waitidle

Rework async write/read for synchronization

* Fix validation errors, improve compatibility with AMD GPUs

* Rework command buffer handling

* Variable matmul kernel using specialization constants

* Fix synchronization on AMD, add barriers for buffer ownership transfer, add debug flag and prints

* Reuse semaphores

* Handle stage flags during command buffer submission properly

* Increase matmul test runs for consistent results

* Fix F32 matmul

* Add vectorized loading and zeropadding for matrix multiplication

* Use pinned memory for f16 preprocessing

* Don't force aligned matmul

* Don't free before queue done

* Replace VMA library with native Vulkan buffer management

* Basic offloading support with mul_f32 and dmmv for q4_0

* Run glslc commands in parallel

* Unroll loops in dmmv shader

* Reduce usage of waitIdle

* Reuse pinned allocation for f16 conversion

* Handle devices with only a single queue

* Fix trailing whitespace in CMakeLists.txt

* Allow parallel execution of kernels, parallelize third and fourth dimension calls

* Add fallback for devices only supporting one DescriptorSet per DescriptorPool

* Move to graph function similar to CUDA implementation

* Use F16 kernel for most things, replace q_f32 with mul_mat_q_f16 function

* Add F32 dmmv shaders

* Batch submissions

* Add .spv to gitignore

* Split off matrix vector multiplication for separate optimization

* Use single command buffer for matrix vector multiplication ops

* Reduce overhead of mul_f32 calls by using a single command buffer

* Add submission batching to mul_f32

* Fix tests

* Add missing barrier

* Add further missing barrier

* Add further ops

* Replace vk::QueueFamilyIgnored with VK_QUEUE_FAMILY_IGNORED to support more Vulkan header versions

* Remove unnecessary cblas link

* Fix descriptor set pre-allocation assert

* Add runtime shader compilation, start transferring shaders to this approach

* Transfer remaining shaders to header and compile on runtime

* Fix fp32 fallback if device doesn't support fp16, add force disable env var GGML_VULKAN_DISABLE_F16

* Add support for q4_1, q5_0, q5_1 and q8_0

* Remove unnecessary scalar layout extension

* Parse graph early to pre-record command buffers

* Add q6_k support

* Add multi-submit for command buffers

* Fix q6_k dequant shader for AMD

* Fix q6_k for GPUs without fp16 support

* Simplify q6_k fp16 fix

* Minor fixes

* Fix wg_denom of m-mulmat shaders

* Add Python-based Vulkan shader generator

* Replace shaderc dependency with precompiled shaders

Fix python script to generate shaders

* Clean up code

* Fix shader generator script Windows compatibility

Co-authored-by: Concedo <39025047+LostRuins@users.noreply.github.com>

* Close file before deletion

* Fix vulkan shader fp32 name

* Add q2_k and q3_k support

Add validation check to compare shader results to cpu results

* Add q4_k support

* Add q5_k support

* Bake SPIR-V bytecode into the library instead of loading shaders from file

* Switch to signal semaphores for flexibility

Prepare broadcasting support for mul mat

* Finish broadcasting mul mat support for GQA

* Clean up unused functions

Add repeat op

* Add further ops, not yet enabled. Improve semaphore code

* Reduce number of used semaphores by utilizing timelines more properly

* Remove queue information

* Reuse timeline semaphores, allow parallel operation with binary semaphores to work around nvidia driver limitations

* Add Vulkan to llama-bench

* Remove cblas dependency

* Fix matmul k-split bug

* Fix q4_k dmmv K_QUANTS_PER_ITERATION 1 shader

* Add RMS Norm shader, rework op_f32 shader setup, fix matmul bug

* Fix issues with float16 overflows in shaders

* Fix issues with older Vulkan headers on Ubuntu 22.04

* Allow multi-op partial offloading by parsing the graph to preallocate enough between-op buffers

* Implement further ops, rework op_f32 calls, fix bugs

* Finish full offloading support, add last remaining ops, fix bugs, remove redundant code

* Upload generated file ggml-vulkan-shaders.hpp, remove redundant shaders

* Merge upstream changes, fix conflicts, adapt soft_max op

* Fix Python and shader header format

* Free model gpu buffers on exit

* Use single queue per device to simplify code

* Add matmul shader support for running multiple calculations in parallel

* Switch from semaphore-synchronized multiple command buffers per op to single command buffer for multiple ops, whole graph if possible

* Fix missing event cast

* Replace uint64_t(-1) with UINT64_MAX, rename function for clarity

* Fix warning about empty C function parameters

* Fix compiler warnings

* Properly implement Vulkan backend buffer handling

* Fix oversized host staging buffers

* Simplify barrier synchronization calls

* Fix gcc warnings

* Implement max_size for backend buffer types to limit the size of a single allocation

* Use min of maxMemoryAllocationSize and maxBufferSize for device max allocation size

* refactor multi buf

* Disable unsupported ops to fix tests

* Check for maintenance4 support before using it

* Handle devices with only a single queue

* Fix single queue logic

* propagate buffer usage in multi buffers

* Implement rope_neox op

* Cleanup header and other files

* Simplify gpu_extras by removing events and putting staging memcpys into contexts

* Move queue into context

Add not-yet-enabled async backend ops

* Simplify context use, optimize matmul shader for warp size 64 (AMD GCN), fix split_k matmul shader optimization

* Add get_max_size to SYCL backend.

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

* llama : fix trailing whitespace

---------

Co-authored-by: Henri Vasserman <henv@hot.ee>
Co-authored-by: Concedo <39025047+LostRuins@users.noreply.github.com>
Co-authored-by: slaren <slarengh@gmail.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-01-28 19:03:59 +02:00
Abhilash Majumder
0f648573dd
ggml : add unified SYCL backend for Intel GPUs (#2690)
* first update for migration

* update init_cublas

* add debug functio, commit all help code

* step 1

* step 2

* step3 add fp16, slower 31->28

* add GGML_LIST_DEVICE function

* step 5 format device and print

* step6, enhance error check, remove CUDA macro, enhance device id to fix none-zero id issue

* support main device is non-zero

* step7 add debug for code path, rm log

* step 8, rename all macro & func from cuda by sycl

* fix error of select non-zero device, format device list

* ren ggml-sycl.hpp -> ggml-sycl.h

* clear CMAKE to rm unused lib and options

* correct queue: rm dtct:get_queue

* add print tensor function to debug

* fix error: wrong result in 658746bb26702e50f2c59c0e4ada8e9da6010481

* summary dpct definition in one header file to replace folder:dpct

* refactor device log

* mv dpct definition from folder dpct to ggml-sycl.h

* update readme, refactor build script

* fix build with sycl

* set nthread=1 when sycl, increase performance

* add run script, comment debug code

* add ls-sycl-device tool

* add ls-sycl-device, rm unused files

* rm rear space

* dos2unix

* Update README_sycl.md

* fix return type

* remove sycl version from include path

* restore rm code to fix hang issue

* add syc and link for sycl readme

* rm original sycl code before refactor

* fix code err

* add know issue for pvc hang issue

* enable SYCL_F16 support

* align pr4766

* check for sycl blas, better performance

* cleanup 1

* remove extra endif

* add build&run script, clean CMakefile, update guide by review comments

* rename macro to intel hardware

* editor config format

* format fixes

* format fixes

* editor format fix

* Remove unused headers

* skip build sycl tool for other code path

* replace tab by space

* fix blas matmul function

* fix mac build

* restore hip dependency

* fix conflict

* ren as review comments

* mv internal function to .cpp file

* export funciton print_sycl_devices(), mv class dpct definition to source file

* update CI/action for sycl code, fix CI error of repeat/dup

* fix action ID format issue

* rm unused strategy

* enable llama_f16 in ci

* fix conflict

* fix build break on MacOS, due to CI of MacOS depend on external ggml, instead of internal ggml

* fix ci cases for unsupported data type

* revert unrelated changed in cuda cmake
remove useless nommq
fix typo of GGML_USE_CLBLAS_SYCL

* revert hip cmake changes

* fix indent

* add prefix in func name

* revert no mmq

* rm cpu blas duplicate

* fix no_new_line

* fix src1->type==F16 bug.

* pass batch offset for F16 src1

* fix batch error

* fix wrong code

* revert sycl checking in test-sampling

* pass void as arguments of ggml_backend_sycl_print_sycl_devices

* remove extra blank line in test-sampling

* revert setting n_threads in sycl

* implement std::isinf for icpx with fast math.

* Update ci/run.sh

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

* Update examples/sycl/run-llama2.sh

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

* Update examples/sycl/run-llama2.sh

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

* Update CMakeLists.txt

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

* Update CMakeLists.txt

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

* Update CMakeLists.txt

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

* Update CMakeLists.txt

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

* add copyright and MIT license declare

* update the cmd example

---------

Co-authored-by: jianyuzh <jianyu.zhang@intel.com>
Co-authored-by: luoyu-intel <yu.luo@intel.com>
Co-authored-by: Meng, Hengyu <hengyu.meng@intel.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-01-28 17:56:23 +02:00
Georgi Gerganov
b764b8f1d0
flake.lock: Update (#5162) 2024-01-28 14:54:54 +00:00
Johannes Gäßler
9241c3a2ac
Apply min_p to unsorted tokens (#5115) 2024-01-28 09:59:49 +01:00
Johannes Gäßler
b2b2bf988c
Tests for min_p, sampling queue (#5147) 2024-01-28 09:35:14 +01:00
Marcus Dunn
af4980bfed
readme : add link to rust bindings (#5148)
* added link to another set of rust bindings with brief note on differences.

* fixed link name
2024-01-28 10:30:44 +02:00
sharpHL
f2e69d28c0
llama : add support for Orion-14B (#5118)
* add support for Orion-14B(https://huggingface.co/OrionStarAI/Orion-14B-Chat)

* flake8 support

* Update llama.cpp

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

* Update llama.cpp

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

* Update llama.cpp

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

* Update llama.cpp

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

* Update llama.cpp

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

* Update llama.cpp

* Update llama.cpp

---------

Co-authored-by: lixiaopu <lixiaopu@cmcm.com>
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Co-authored-by: slaren <slarengh@gmail.com>
2024-01-28 10:00:30 +02:00
Kyle Mistele
39baaf55a1
docker : add server-first container images (#5157)
* feat: add Dockerfiles for each platform that user ./server instead of ./main

* feat: update .github/workflows/docker.yml to build server-first docker containers

* doc: add information about running the server with Docker to README.md

* doc: add information about running with docker to the server README

* doc: update n-gpu-layers to show correct GPU usage

* fix(doc): update container tag from `server` to `server-cuda` for README example on running server container with CUDA
2024-01-28 09:55:31 +02:00
John
6db2b41a76
llava : support for Yi-VL and fix for mobileVLM (#5093)
* Support for Yi-VL, templating fix for mobileVLM

* ws

* Update examples/llava/clip.cpp

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

* Update llava-cli.cpp

* Update clip.cpp

bugfix for new conversions

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-01-27 17:09:18 +02:00
Georgi Gerganov
753eafed0e
sync : ggml 2024-01-27 17:00:24 +02:00
Judd
e976423005
ggml : check ggml_add src1 type (ggml/708)
Co-authored-by: Judd <foldl@boxvest.com>
2024-01-27 16:59:00 +02:00
Michael Klimenko
35a2ee9143
Remove unused data and add fixes (#5154)
* Remove unused data and add fixes

* Add missing file

* Address review comments

* Replace the scope of vq allocation
2024-01-27 15:25:55 +01:00
Maximilian Winter
ec903c0341
server : add self-extend support (#5104)
* Ported self extension to server example

* Update server.cpp

* Fixed prompt caching without self extend

* Update server.cpp

* Added description to server readme.

* Update server.cpp

* Update server.cpp

* Update server.cpp

* Update server.cpp

* Update README.md

* Changed descriptions

* server : formatting

* Update examples/server/server.cpp

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

* Update examples/server/server.cpp

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

* Update server.cpp

* Update server.cpp

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2024-01-27 15:38:05 +02:00
0cc4m
a1d6df129b
Add OpenCL add kernel (#5151)
* Add OpenCL add kernel

* Put add kernel into different string to stay within MSVC string length limit, disable float16 support due to bad results
2024-01-26 23:07:32 +01:00
Jared Van Bortel
bbe7c56c99
cmake : pass CPU architecture flags to nvcc (#5146) 2024-01-26 15:34:06 -05:00
slaren
62fead3ea0
cuda : fix tensor size calculation for non-split buffer (#5145) 2024-01-26 18:59:43 +01:00
slaren
15b4538ff2
ggml-alloc : add 10% margin to the buffer sizes (#5149) 2024-01-26 19:18:26 +02:00
snadampal
7032f4f634
ggml : update softmax n_task calculation (#5126)
updated the n_task calculation to use max number of
threads possible. This has improved the prompt eval
performance by around 5% for DOT kernels and by
around 10% for MMLA kernels on AWS Graviton3.
2024-01-26 19:17:59 +02:00
Georgi Gerganov
5f1925a8ce
scripts : move run-with-preset.py from root to scripts folder 2024-01-26 17:09:44 +02:00
Georgi Gerganov
3b7c914de2
tests : gitignore test-c.o 2024-01-26 14:48:15 +02:00
Xuan Son Nguyen
48c857aa10
server : refactored the task processing logic (#5065)
* server: add llama_server_queue struct

* server: add llama_server_response_event

* server: add comments

* server: move all mutexes away from server.cpp

* server: correct multitask response

* server: only add back deferred tasks when one slot is available

* server: fix a race condition cause by "request_completion"
2024-01-26 14:42:20 +02:00
crasm
413e7b0559
ci : add model tests + script wrapper (#4586)
* scripts : add lib.sh and lib_test.sh

* scripts : stub out new ci-run.sh script

* scripts : switch to PascalCase for functions

This looks a little odd at first, but I find it very useful as a
convention to know if a command is part of our code vs a builtin.

* scripts : add some fancy conversion from snake_case to PascalCase

* Add venv to ci/run.sh

* Revert scripts work

* scripts : add wrapper script for local use of ci/run.sh

* Simplify .gitignore for tests, clang-tidy fixes

* Label all ctest tests

* ci : ctest uses -L main

* Attempt at writing ctest_with_model

* Update test-model-load-cancel

* ci : add ctest_with_model for debug and release

ggml-ci

* Fix gg_get_model function

ggml-ci

* got stuck on CMake

* Add get_model.cpp to tests/CMakeLists.txt

ggml-ci

* Fix README.md output for ctest_with_model

ggml-ci

* workflows : use `-L main` for all ctest

ggml-ci

* Fixes

* GG_RUN_CTEST_MODELFILE => LLAMACPP_TESTMODELFILE
* Always show warning rather than failing if model file variable is not
  set

* scripts : update usage text for ci-run.sh
2024-01-26 14:18:00 +02:00
Paul Tsochantaris
6dd3c28c9c
metal : remove unused n_buffers and buffers (#5129) 2024-01-26 14:16:07 +02:00
Riceball LEE
38b431de23
gguf : fix "general.alignment" type in gguf_reader.py (#5136) 2024-01-26 11:10:28 +02:00
Georgi Gerganov
aad0b01d73
readme : update hot topics 2024-01-26 10:52:33 +02:00
Kawrakow
1182cf4d4f
Another bucket sort (#5109)
* Initial bucket sort

* Bucket sort: slightly better version

* Bucket sort: another minor improvement

---------

Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
2024-01-26 09:14:39 +02:00
XiaotaoChen
fe54033b69
readme : add MobileVLM 1.7B/3B to the supported models list (#5107)
Co-authored-by: Chenxiaotao03 <chenxiaotao03@meituan.com>
2024-01-25 22:14:32 +02:00
l3utterfly
5eaf9964fc
llama : dynamic temperature sampling (#4972)
* implemented dynamic temperature sampling from koboldcpp

* removed trailing whitespace

* removed unused temp parameter in llama_sample_entropy

* exposed exponent_val in dynamic temp sampler

* added debug check for printf statements

* use nullptr in llama_sample_softmax call during llama_sample_entropy

this avoids counting the time taken stats twice

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

* return earlier if there is only 1 candiate (i.e. max_entropy == 0)

* reformat 't' case in llama_sample_queue

Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com>

* check for one or zero candidates case in llama_sample_entropy

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Co-authored-by: Jared Van Bortel <cebtenzzre@gmail.com>
2024-01-25 22:06:22 +02:00