GitLab

* Add bf16 template sp

* prepare merge

* add enable bf

* add bf16 decode attention support

* fix python lint

* fix yapf

* fix c format

* c format11

* fix cast

* fix on sm<80

* fix linux bf162 cast

* fix type cast

* fix lint

* support from hf pretrained

* fix pybind

* fix converter

* add trust remote code

* fix comment

* fix convert qwen

* fix lint

* fix baichuan

* update weight map

* support image_embs input

* add some checks

* update interactive/config.pbtxt && TurbomindModelConfig

* update docstring

* refactor

* support convert embeddings to bf16

* update interactive/config.pbtxt

* embeddings -> input_embeddings

* use input_embedding_ranges

* remove embedding_begins/ends

* Unify prefill and decode passes

* dynamic split-fuse

* refactor

* correct input count calculation

* remove unused

* lint

* lint

* fix msvc build

* fix msvc build

* fix msvc build

* fix msvc build

* fix msvc build

* fix msvc build

* fix msvc build

* fix msvc build

* fix msvc build

* tmp

* update

* update

* optimize for throughput

* update

* fix eos

* clean up

* fix serving

* fix indexed copy

* minor

* minor

---------
Co-authored-by: lvhan028 <lvhan_028@163.com>

* refresh decoder attention kernel

* block-level kv cache

* `BlockManager` & `SequenceManager`

* update

* update

* update

* update

* rename

* GQA support

* fix context length

* GQA dispatch

* kv8

* tune

* async stream cb

* nvtx

* config parsing

* debug

* optimize output cost

* split-k decoding

* minor

* truncate `session_len` by available blocks

* minor

* license

* fix

* dispatch `cp.async`

* fix linking

* fix

* fix deadlock

* guard input length

* correct start offset

* fix prefill chunking

* fix `cache_block_seq_len` param passing

* fix `block_size` fmtstr

* fix output tokens

* fix batch resizing

* fix masking of finished sequences

* add debug util

* free unused block early

* add ntk scaling and logn scaling

* cmake flags

* fix typo

* w4a16 for sm75

* fix msvc build

* fix msvc build

* fix block verification

* fix msvc build

* use `std::shuffle`

* fix lint

* fix lint

* fix lint

* clear incoming buffer

* clear finished requests

* fix batch initialization

* fix typo

* fix typo

* fix comparison

* cuda allocator fix

* graceful termination

* lint and compilation fix

* support actual seqlen

* fix lint

* update variable types

* lint

* update type

* fix lint

---------

* Pad tok_embedding and output weights to make their shape divisible by TP

* update

* update

* update

* update

* update llamaBatch

* qwen support

* dynamic ntk & logn attn

* fix ntk & add chat template

* fix ntk scaling & stop words

* fix lint

* add tiktoken to requirements.txt

* fix tokenizer, set model format automatically

* update model.py

* update readme

* fix lint

* __PRETTY_FUNCTION__

* CASE_K

* uint

* remove not

* HALF_FLT_MAX

* struct init

* port utils

* better build pthread-win32

* port kernels

* port utils/gemm_test

* hide windows header

* port models

* port examples && triton_backend && unittests

* update build readme

* fix lint

* fix lint

* fix lint

* fix lint

* fix lint

* fix build

* fix build

* cmake version

* fix typos

* update ci

* port kernels/gemm_s_f16

* update ci

* fix ci

* use cudaStreamSynchronize instead of volatile check

* remove gettimeofday

* remove pthread-win32

* remove dirent.h

* update pre-commit

* update

* remove todo

* fix include

* fix build

* fix build

* fix build ci

* fix github action trigger

* update README

* fix linux-build ci

* remove windows folder

* fix lint

* update readme

* add GQA for llama2

* fix model conversion

* fix lint & remove dev log

* update news

* minor

* fix allocation size

* fix split_dim for w_qkv.bias

* build turbomind

* change namespace fastertransformer to turbomind

* change logger name

* temp

* fix lint

* csrc->src

* remove clang-format

* skip .rst

* skip doc

* clang-format

version

version

* mat_B

* feat(src): add int8 and compile passed

* feat(kernels): fix

* feat(llama): update kernel

* feat(src): add debug

* fix(kernel): k_cache use int8_t pointer

* style(llama): clean code

* feat(deploy.py): revert to enable fmha

* style(LlamaV2): clean code

* feat(deploy.py): add default quant policy

* add ft code

* gitignore

* fix lint

* revert fmha