GitLab

* 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

* wip

* profile disable tp

* fix profile

* lint

* fix dlpack

* remove comment

* add tp flag

* add session len check

* add eos

* remove tp and session len inputs

* warp tokenizer

* multithread load weight

* update profile

* refactor tokenizer

* remove pre/post process

* remove mpi4py requirement

* remove

* remove bind

* remove mpi requirement

* check backend_tokenizer

* update log info

* format cuda utils

* streaming-output

* fix end

* fix profile

* support chinese streaming

* lint

* update chat

* lint

* fix benchmark

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Co-authored-by: grimoire <yaoqian@pjlab.org.cn>

* add cal qparams

* support offload inference

* add collect funtions (mod,weight)

* stats kv scales

* update init

* add user guide

* fix hints

* fix comments & support turbomind format

* update user guide

* fix slice kv cache error & support pileval dataset (used in llm-awq)

* fix wrong num heads slice

* update default dataset

* fix conflict

* fix hints

* fix hints

* add gitignore

* wip

* wip

* example finish

* fix include and namespace

* wtf

* install lib

* batchize

* update cmake install

* multithread

* fix comment

* fix

* add mmengine

* bind llamamodel

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Co-authored-by: grimoire <yaoqian@pjlab.org.cn>

* format-11.1

* md-link-config

* feat(template): remote diff

* feat(cmake): use c++17

* change target tritonfastertransformerbackend to tritonturbomindbackend

* install targets to backends/turbomind

* changge model_dir

* 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

* support attention bias

* fix conflict

* update arch

* clang-format

* remove comment

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Co-authored-by: yaoqian <yaoqian@localhost.localdomain>

* support fmha

* update sm by cudaarch

* update ldscript path

* clang-format

* clang-format

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* add ft code

* gitignore

* fix lint

* revert fmha