* add layerrmsnorm triton kernel
* add layerrmsnorm kernel
* modify the atol and rtol in test file
* Remove the logics of mean computations, and update the name of ther kernel functions and files
* add benchmark of rms norm
* add infer_struct and infer_config
* update codes
* change InferConfig
* Add hf_model_config to the engine
* rm _get_hf_model_config
* update codes
* made adjustments according to the feedback from the reviewer.
* update codes
* add ci test for config and struct
* Add the logic of the inference engine
* update engine and test
* Recover cache_manager.py
* add logger
* fix conflict
* update codes
* update codes
* update model and tokenizer
* fix add the logic about shardformer
* change kvcache_manager docstring
* add policy
* fix ci bug in test_kvcache_manager.py
* remove codes related o tokenizer and move model_policy
* fix code style
* add ordered_set to requirements-infer.txt
* Delete extra empty lines
* add ordered_set to requirements-test.txt
* [Inference] Add KVCache Manager
* function refactored
* add test for KVCache Manager
* add attr beam width
* Revise alloc func in CacheManager
* Fix docs and pytests
* add tp slicing for head number
* optimize shapes of tensors used as physical cache
* Apply using InferenceConfig on KVCacheManager
* rm duplicate config file
* Optimize cache allocation: use contiguous cache
* Fix config in pytest (and config)
* add infer_struct and infer_config
* update codes
* change InferConfig
* Add hf_model_config to the engine
* rm _get_hf_model_config
* update codes
* made adjustments according to the feedback from the reviewer.
* update codes
* add ci test for config and struct
* A more general _communicate
* feat: finish tree_flatten version p2p
* fix: update p2p api calls
---------
Co-authored-by: Wenhao Chen <cwher@outlook.com>
* test: add more p2p tests
* fix: remove send_forward_recv_forward as p2p op list need to use the same group
* fix: make send and receive atomic
* feat: update P2PComm fn
* feat: add metadata cache in 1f1b
* feat: add metadata cache in interleaved pp
* feat: modify is_xx_stage fn
* revert: add _broadcast_object_list
* feat: add interleaved pp in llama policy
* feat: set NCCL_BUFFSIZE in HybridParallelPlugin
* fix 3d checkpoint load when booster boost without optimizer
fix 3d checkpoint load when booster boost without optimizer
* test ci
* revert ci
* fix
fix
* [shardformer] implement policy for all GPT-J models and test
* [shardformer] support interleaved pipeline parallel for bert finetune
* [shardformer] shardformer support falcon (#4883)
* [shardformer]: fix interleaved pipeline for bert model (#5048)
* [hotfix]: disable seq parallel for gptj and falcon, and polish code (#5093)
* Add Mistral support for Shardformer (#5103)
* [shardformer] add tests to mistral (#5105)
---------
Co-authored-by: Pengtai Xu <henryxu880@gmail.com>
Co-authored-by: ppt0011 <143150326+ppt0011@users.noreply.github.com>
Co-authored-by: flybird11111 <1829166702@qq.com>
Co-authored-by: eric8607242 <e0928021388@gmail.com>
* [npu] setup device utils (#5047)
* [npu] add npu device support
* [npu] support low level zero
* [test] update npu zero plugin test
* [hotfix] fix import
* [test] recover tests
* [npu] gemini support npu (#5052)
* [npu] refactor device utils
* [gemini] support npu
* [example] llama2+gemini support npu
* [kernel] add arm cpu adam kernel (#5065)
* [kernel] add arm cpu adam
* [optim] update adam optimizer
* [kernel] arm cpu adam remove bf16 support
* fix: add warning for EP different behavior
* fix: use shard_data in ep & tp model
* to: add used_capacity
* fix: fix router test
* feat: add create_ep_node_group
* feat: add create_ep_hierarchical_group fn
* feat: add HierarchicalAllToAll
* test: add hierarchical all2all test
* fix: fix test errors
* fix: simplify create_ep_hierarchical_group
* fix: add hierarchical_alltoall arg
* fix: fix environ typo
* revert: revert process mesh order
* to: add todo mark
* fix: skip hierarchical_comm if torch < 1.13.1
* refactor pipeline into new CaiInferEngine
* updata llama modeling forward
* merge tp with pp
* update docstring
* optimize test workflow and example
* fix typo
* add assert and todo
* [inference] Dynamic Batching for Single and Multiple GPUs (#4831)
* finish batch manager
* 1
* first
* fix
* fix dynamic batching
* llama infer
* finish test
* support different lengths generating
* del prints
* del prints
* fix
* fix bug
---------
Co-authored-by: CjhHa1 <cjh18671720497outlook.com>
* [inference] Async dynamic batching (#4894)
* finish input and output logic
* add generate
* test forward
* 1
* [inference]Re push async dynamic batching (#4901)
* adapt to ray server
* finish async
* finish test
* del test
---------
Co-authored-by: yuehuayingxueluo <867460659@qq.com>
* Revert "[inference]Re push async dynamic batching (#4901)" (#4905)
This reverts commit fbf3c09e67.
* Revert "[inference] Async dynamic batching (#4894)"
This reverts commit fced140250.
* Revert "[inference] Async dynamic batching (#4894)" (#4909)
This reverts commit fced140250.
* Add Ray Distributed Environment Init Scripts
* support DynamicBatchManager base function
* revert _set_tokenizer version
* add driver async generate
* add async test
* fix bugs in test_ray_dist.py
* add get_tokenizer.py
* fix code style
* fix bugs about No module named 'pydantic' in ci test
* fix bugs in ci test
* fix bugs in ci test
* fix bugs in ci test
* [infer]Add Ray Distributed Environment Init Scripts (#4911)
* Revert "[inference] Async dynamic batching (#4894)"
This reverts commit fced140250.
* Add Ray Distributed Environment Init Scripts
* support DynamicBatchManager base function
* revert _set_tokenizer version
* add driver async generate
* add async test
* fix bugs in test_ray_dist.py
* add get_tokenizer.py
* fix code style
* fix bugs about No module named 'pydantic' in ci test
* fix bugs in ci test
* fix bugs in ci test
* fix bugs in ci test
* support dynamic batch for bloom model and is_running function
* [Inference]Test for new Async engine (#4935)
* infer engine
* infer engine
* test engine
* test engine
* new manager
* change step
* add
* test
* fix
* fix
* finish test
* finish test
* finish test
* finish test
* add license
---------
Co-authored-by: yuehuayingxueluo <867460659@qq.com>
* add assertion for config (#4947)
* [Inference] Finish dynamic batching offline test (#4948)
* test
* fix test
* fix quant
* add default
* fix
* fix some bugs
* fix some bugs
* fix
* fix bug
* fix bugs
* reset param
---------
Co-authored-by: yuehuayingxueluo <867460659@qq.com>
Co-authored-by: Cuiqing Li <lixx3527@gmail.com>
Co-authored-by: CjhHa1 <cjh18671720497outlook.com>
* [test] add custom models in model zoo
* [test] update legacy test
* [test] update model zoo
* [test] update gemini test
* [test] remove components to test
* add test
* fix no_sync bug in low level zero plugin
* fix test
* add argument for grad accum
* add grad accum in backward hook for gemini
* finish implementation, rewrite tests
* fix test
* skip stuck model in low level zero test
* update doc
* optimize communication & fix gradient checkpoint
* modify doc
* cleaning codes
* update cpu adam fp16 case
* [kernel] support pure fp16 for cpu adam (#4896)
* [kernel] fix cpu adam kernel for pure fp16 and update tests (#4919)
* [kernel] fix cpu adam
* [test] update gemini optim test
* [pipeline inference] pipeline inference (#4492)
* add pp stage manager as circle stage
* fix a bug when create process group
* add ppinfer basic framework
* add micro batch manager and support kvcache-pp gpt2 fwd
* add generate schedule
* use mb size to control mb number
* support generate with kv cache
* add output, remove unused code
* add test
* reuse shardformer to build model
* refactor some code and use the same attribute name of hf
* fix review and add test for generation
* remove unused file
* fix CI
* add cache clear
* fix code error
* fix typo
* [Pipeline inference] Modify to tieweight (#4599)
* add pp stage manager as circle stage
* fix a bug when create process group
* add ppinfer basic framework
* add micro batch manager and support kvcache-pp gpt2 fwd
* add generate schedule
* use mb size to control mb number
* support generate with kv cache
* add output, remove unused code
* add test
* reuse shardformer to build model
* refactor some code and use the same attribute name of hf
* fix review and add test for generation
* remove unused file
* modify the way of saving newtokens
* modify to tieweight
* modify test
* remove unused file
* solve review
* add docstring
* [Pipeline inference] support llama pipeline inference (#4647)
* support llama pipeline inference
* remove tie weight operation
* [pipeline inference] Fix the blocking of communication when ppsize is 2 (#4708)
* add benchmark verbose
* fix export tokens
* fix benchmark verbose
* add P2POp style to do p2p communication
* modify schedule as p2p type when ppsize is 2
* remove unused code and add docstring
* [Pipeline inference] Refactor code, add docsting, fix bug (#4790)
* add benchmark script
* update argparse
* fix fp16 load
* refactor code style
* add docstring
* polish code
* fix test bug
* [Pipeline inference] Add pipeline inference docs (#4817)
* add readme doc
* add a ico
* Add performance
* update table of contents
* refactor code (#4873)
* [lazy] support _like methods and clamp
* [lazy] pass transformers models
* [lazy] fix device move and requires grad
* [lazy] fix requires grad and refactor api
* [lazy] fix requires grad
* [legacy] move communication to legacy (#4640)
* [legacy] refactor logger and clean up legacy codes (#4654)
* [legacy] make logger independent to gpc
* [legacy] make optim independent to registry
* [legacy] move test engine to legacy
* [legacy] move nn to legacy (#4656)
* [legacy] move nn to legacy
* [checkpointio] fix save hf config
* [test] remove useledd rpc pp test
* [legacy] fix nn init
* [example] skip tutorial hybriad parallel example
* [devops] test doc check
* [devops] test doc check
* [legacy] move engine to legacy
* [example] fix seq parallel example
* [example] fix seq parallel example
* [test] test gemini pluging hang
* [test] test gemini pluging hang
* [test] test gemini pluging hang
* [test] test gemini pluging hang
* [test] test gemini pluging hang
* [example] update seq parallel requirements
* fix zero ckptio with offload
* fix load device
* saved tensors in ckpt should be on CPU
* fix unit test
* fix unit test
* add clear cache
* save memory for CI
* add APIs
* implement save_sharded_model
* add test for hybrid checkpointio
* implement naive loading for sharded model
* implement efficient sharded model loading
* open a new file for hybrid checkpoint_io
* small fix
* fix circular importing
* fix docstring
* arrange arguments and apis
* small fix
* [shardformer] chatglm support sequence parallel
[shardformer] chatglm support sequence parallel
[shardformer] chatglm support sequence parallel
[shardformer] chatglm support sequence parallel
[shardformer] chatglm support sequence parallel
[shardformer] chatglm support sequence parallel
* fix
fix
fix
fix
* [shardformer] jit fused fix
* [shardformer] jit fused fix
* [shardformer] jit fused fix
* [shardformer] jit fused fix
* [shardformer] jit fused fix
* [shardformer] jit fused fix
* [shardformer] jit fused fix
* activate checks
* [Test] test ci
* test ci
* test ci
* test ci
* test ci
* test ci
* test ci
* fix
* [shardformer/sequence parallel] Support sequence parallel for gpt2 (#4384)
* [sequence parallel] add sequence parallel linear col/row support (#4336)
* add sequence parallel linear col/row support
* add annotation
* add annotation
* add support for gpt2 fused qkv linear layer
* support sequence parallel in GPT2
* add docstring and note
* add requirments
* remove unused flash-attb
* modify flash attn test
* modify flash attn setting
* modify flash attn code
* add assert before divide, rename forward function
* [shardformer/test] fix gpt2 test with seq-parallel
* [shardformer/sequence parallel] Overlap input gather and grad computation during col backward (#4401)
* overlap gather input / grad computing during col backward
* modify test for overlap
* simplify code
* fix code and modify cuda stream synchronize
* [shardformer/sequence parallel] polish code
* [shardformer] gpt2 tests fix
[shardformer] test all optimizations (#4399)
[shardformer] test all optimizations
[shardformer] test all optimizations
[shardformer] test all optimizations
[shardformer] gpt2 tests fix
* [shardformer]update t5 to use all optimizations
* [shardformer] gpt2 tests fix
[shardformer] test all optimizations (#4399)
[shardformer] test all optimizations
[shardformer] test all optimizations
[shardformer] test all optimizations
[shardformer] gpt2 tests fix
* [shardformer] gpt2 tests fix
* add pipeline policy and bert forward to be done
* add bertmodel pipeline forward and make tests
* add Bert_Policy and test for policy
* update formatting
* update formatting
* update the code
* fix bugs
* fix name confilt
* add bloom model and policy ,revise the base class of policy
* revise
* revision
* add bert_for_pretraining
* add bert_for_pretraining forward and policy
* fix typos
* cancel warning
* change the imediate output to default dict
* change the default output of get_shared_params
* rewrite bert test
* rewrite bert test
* fix some bugs
* del pipeline tests
* del pipeline tests
* del useless print
* del useless print
* rewrite data repeats
* [shardformer] supported flash attention test dependency (#4158)
* [shardformer] fix flash attention utils test (#4180)
* [shardformer] opt support flash attention (#4163)
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] move to modeling
* [shardformer] move to modeling
* [shardformer] add performance benchmark of shardformer (#4175)
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] benchmark fix
* [shardformer] benchmark fix
* [shardformer] llama support flash attention (#4185)
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] move to modeling
* [shardformer] move to modeling
* [shardformer] llama support flash attention
* [shardformer] llama support flash attention
* [shardformer] Move the import statement for xformer outside the forward function.
* [shardformer] gpt2 support flash attention. (#4191)
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] move to modeling
* [shardformer] move to modeling
* [shardformer] gpt2 support flash attention
* [shardformer] gpt2 support flash attention
* [shardformer] gpt2 support flash attention
* [shardformer] bloom support flash attention (#4188)
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] move to modeling
* [shardformer] move to modeling
* [shardformer] bloom suport flash attention
* [shardformer] add assert to sequence length
* [shardformer] fix
* [shardformer] fix
* [shardformer] fix
* [shardformer] bert support flash attention. (#4206)
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] move to modeling
* [shardformer] move to modeling
* [shardformer] bert support flash attention
* [shardformer] t5 support flash attention. (#4216)
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] move to modeling
* [shardformer] move to modeling
* [shardformer] t5 support flash attention
* [shardformer] t5 support flash attention
* fix typo
* fix typo
* fix typo
* fix typo
* fix typo
* fix typo
* [shardformer] support 'paddedcausal' type of attention mask in Coloattention. (#4215)
* added padded causal attn mask type for ColoAttention
* [shardformer]t5 flash attention fix (#4239)
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] move to modeling
* [shardformer] move to modeling
* [shardformer] t5 flash attention fix
* [shardformer] update gpt2 to use coloattention. (#4234)
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] move to modeling
* [shardformer] move to modeling
* [shardformer] update gpt2 to use coloattention
* [shardformer] update gpt2 to use coloattention
* [shardformer] update gpt2 to use coloattention
* [shardformer] update gpt2 to use coloattention
* [shardformer] update gpt2
* [shardformer] update opt and llama to use coloattention. (#4226)
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] move to modeling
* [shardformer] move to modeling
* update opt to use coloattention
* [shardformer]update opt to use coloattention
* [shardformer]update opt to use coloattention
* [shardformer]update opt to use coloattention
* [shardformer]update opt to use coloattention
* [shardformer]update opt to use coloattention
* [shardformer]update opt to use coloattention
* [shardformer]update opt
* [shardformer] shardformer support jit fused operator. (#4236)
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] opt support flash attention
* [shardformer] move to modeling
* [shardformer] move to modeling
* [shardformer] bloom support jit fused operator
* [shardformer] bloom support jit fused operator
* [shardformer] bloom support jit fused operator
* [shardformer] t5 support jit fused operator
* [shardformer] t5 support jit fused operator
* [shardformer] t5 support jit fused operator
* [shardformer] add roadmap of flash attention
* [shardformer] add roadmap of flash attention
* [shardformer] add roadmap of flash attention
* [shardformer] add type hint to 'self' param of forward
* [shardformer] merge feature/shardformer-models branch to feature/flash-attention-shardformer branch. (#4290)
* Feature/vit support (#4182)
* [shardformer] added tests
* [shardformer] vit test finish and support
* fix attention dropout
* [shardformer] support SAM (#4231)
* 1.support sam 2.add fused qkv for nn.Linear
* update utils support set element in list
* overtwrite SamVisionAttention foward to use DropoutForParallelInput
* remove unused code
* [shardformer] support whisper (#4212)
* support whisper
* fix bug in vocabembedding
* support downstream model of whisper
* update readme
* Feature/chatglm (#4240)
* [shardformer] added tests
* [shardformer] vit test finish and support
* [shardformer] chatglm ready
* import chatglm
* [shardformer] add test kit in model zoo for chatglm
* [sharformer] add first version of policy of chatglm
* [shardformer] polish chatglm code
* [shardformer] polish code
* [shardformer] support chatglm without layernorm
* [shardformer] chatglm shard without mlp sharding
* [shardformer] delete some file
* [shardformer] ChatGLM support layernorm sharding
* [shardformer] register without auto policy
* [shardformer] pre-commit check files
* [shardformer] fix chatglm configuration with pre-commit
---------
Co-authored-by: Kun Lin <81014421+klhhhhh@users.noreply.github.com>
Co-authored-by: FoolPlayer <45593998+FoolPlayer@users.noreply.github.com>
* [shardformer] whisper support flash attention (#4301)
* Feature/vit support (#4182)
* [shardformer] added tests
* [shardformer] vit test finish and support
* fix attention dropout
* [shardformer] support SAM (#4231)
* 1.support sam 2.add fused qkv for nn.Linear
* update utils support set element in list
* overtwrite SamVisionAttention foward to use DropoutForParallelInput
* remove unused code
* [shardformer] support whisper (#4212)
* support whisper
* fix bug in vocabembedding
* support downstream model of whisper
* update readme
* Feature/chatglm (#4240)
* [shardformer] added tests
* [shardformer] vit test finish and support
* [shardformer] chatglm ready
* import chatglm
* [shardformer] add test kit in model zoo for chatglm
* [sharformer] add first version of policy of chatglm
* [shardformer] polish chatglm code
* [shardformer] polish code
* [shardformer] support chatglm without layernorm
* [shardformer] chatglm shard without mlp sharding
* [shardformer] delete some file
* [shardformer] ChatGLM support layernorm sharding
* [shardformer] register without auto policy
* [shardformer] pre-commit check files
* [shardformer] fix chatglm configuration with pre-commit
* [shardformer] whisper support flash attention
* [shardformer] whisper support flash attention
* [shardformer]whisper support jit operator
---------
Co-authored-by: Kun Lin <81014421+klhhhhh@users.noreply.github.com>
Co-authored-by: FoolPlayer <45593998+FoolPlayer@users.noreply.github.com>
* [shardformer] sam support flash attention (#4316)
* Feature/vit support (#4182)
* [shardformer] added tests
* [shardformer] vit test finish and support
* fix attention dropout
* [shardformer] support SAM (#4231)
* 1.support sam 2.add fused qkv for nn.Linear
* update utils support set element in list
* overtwrite SamVisionAttention foward to use DropoutForParallelInput
* remove unused code
* [shardformer] support whisper (#4212)
* support whisper
* fix bug in vocabembedding
* support downstream model of whisper
* update readme
* Feature/chatglm (#4240)
* [shardformer] added tests
* [shardformer] vit test finish and support
* [shardformer] chatglm ready
* import chatglm
* [shardformer] add test kit in model zoo for chatglm
* [sharformer] add first version of policy of chatglm
* [shardformer] polish chatglm code
* [shardformer] polish code
* [shardformer] support chatglm without layernorm
* [shardformer] chatglm shard without mlp sharding
* [shardformer] delete some file
* [shardformer] ChatGLM support layernorm sharding
* [shardformer] register without auto policy
* [shardformer] pre-commit check files
* [shardformer] fix chatglm configuration with pre-commit
* [shardformer] sam support flash attention
---------
Co-authored-by: Kun Lin <81014421+klhhhhh@users.noreply.github.com>
Co-authored-by: FoolPlayer <45593998+FoolPlayer@users.noreply.github.com>
* [shardformer] merge blip2/chatglm (#4321)
* Feature/vit support (#4182)
* [shardformer] added tests
* [shardformer] vit test finish and support
* fix attention dropout
* [shardformer] support SAM (#4231)
* 1.support sam 2.add fused qkv for nn.Linear
* update utils support set element in list
* overtwrite SamVisionAttention foward to use DropoutForParallelInput
* remove unused code
* [shardformer] support whisper (#4212)
* support whisper
* fix bug in vocabembedding
* support downstream model of whisper
* update readme
* Feature/chatglm (#4240)
* [shardformer] added tests
* [shardformer] vit test finish and support
* [shardformer] chatglm ready
* import chatglm
* [shardformer] add test kit in model zoo for chatglm
* [sharformer] add first version of policy of chatglm
* [shardformer] polish chatglm code
* [shardformer] polish code
* [shardformer] support chatglm without layernorm
* [shardformer] chatglm shard without mlp sharding
* [shardformer] delete some file
* [shardformer] ChatGLM support layernorm sharding
* [shardformer] register without auto policy
* [shardformer] pre-commit check files
* [shardformer] fix chatglm configuration with pre-commit
* [shardformer] added tests
* [shardformer] vit test finish and support
* import chatglm
* [shardformer] add test kit in model zoo for chatglm
* [sharformer] add first version of policy of chatglm
* [shardformer] polish chatglm code
* [shardformer] polish code
* [shardformer] support chatglm without layernorm
* [shardformer] delete some file
* [shardformer] ChatGLM support layernorm sharding
* [shardformer] register without auto policy
* [shardformer] pre-commit check files
* [shardformer] support ChatGLMForConditionalGeneration & add fusedlayernorm for vit
* [shardformer] support Blip2 (#4243)
* support base blip2
* add support for downstream blip2 model
* update readme
* add forward injection
* skip not compatible models test
* fix test for gemini and low_level_zero_pugin
---------
Co-authored-by: Kun Lin <81014421+klhhhhh@users.noreply.github.com>
Co-authored-by: FoolPlayer <45593998+FoolPlayer@users.noreply.github.com>
Co-authored-by: klhhhhh <1412841649@qq.com>
* [shardformer] blip2 support flash attention and jit operator (#4325)
* Feature/vit support (#4182)
* [shardformer] added tests
* [shardformer] vit test finish and support
* fix attention dropout
* [shardformer] support SAM (#4231)
* 1.support sam 2.add fused qkv for nn.Linear
* update utils support set element in list
* overtwrite SamVisionAttention foward to use DropoutForParallelInput
* remove unused code
* [shardformer] support whisper (#4212)
* support whisper
* fix bug in vocabembedding
* support downstream model of whisper
* update readme
* Feature/chatglm (#4240)
* [shardformer] added tests
* [shardformer] vit test finish and support
* [shardformer] chatglm ready
* import chatglm
* [shardformer] add test kit in model zoo for chatglm
* [sharformer] add first version of policy of chatglm
* [shardformer] polish chatglm code
* [shardformer] polish code
* [shardformer] support chatglm without layernorm
* [shardformer] chatglm shard without mlp sharding
* [shardformer] delete some file
* [shardformer] ChatGLM support layernorm sharding
* [shardformer] register without auto policy
* [shardformer] pre-commit check files
* [shardformer] fix chatglm configuration with pre-commit
* [shardformer] added tests
* [shardformer] vit test finish and support
* import chatglm
* [shardformer] add test kit in model zoo for chatglm
* [sharformer] add first version of policy of chatglm
* [shardformer] polish chatglm code
* [shardformer] polish code
* [shardformer] support chatglm without layernorm
* [shardformer] delete some file
* [shardformer] ChatGLM support layernorm sharding
* [shardformer] register without auto policy
* [shardformer] pre-commit check files
* [shardformer] support ChatGLMForConditionalGeneration & add fusedlayernorm for vit
* [shardformer] support Blip2 (#4243)
* support base blip2
* add support for downstream blip2 model
* update readme
* add forward injection
* skip not compatible models test
* fix test for gemini and low_level_zero_pugin
* [shardformer] blip2 support flash attention and jit operator
* [shardformer] blip2 support flash attention and jit operator
* [shardformer] blip2 support flash attention and jit operator
---------
Co-authored-by: Kun Lin <81014421+klhhhhh@users.noreply.github.com>
Co-authored-by: FoolPlayer <45593998+FoolPlayer@users.noreply.github.com>
Co-authored-by: klhhhhh <1412841649@qq.com>
* [shardformer] chatglm support flash attention and jit operator (#4330)
* Feature/vit support (#4182)
* [shardformer] added tests
* [shardformer] vit test finish and support
* fix attention dropout
* [shardformer] support SAM (#4231)
* 1.support sam 2.add fused qkv for nn.Linear
* update utils support set element in list
* overtwrite SamVisionAttention foward to use DropoutForParallelInput
* remove unused code
* [shardformer] support whisper (#4212)
* support whisper
* fix bug in vocabembedding
* support downstream model of whisper
* update readme
* Feature/chatglm (#4240)
* [shardformer] added tests
* [shardformer] vit test finish and support
* [shardformer] chatglm ready
* import chatglm
* [shardformer] add test kit in model zoo for chatglm
* [sharformer] add first version of policy of chatglm
* [shardformer] polish chatglm code
* [shardformer] polish code
* [shardformer] support chatglm without layernorm
* [shardformer] chatglm shard without mlp sharding
* [shardformer] delete some file
* [shardformer] ChatGLM support layernorm sharding
* [shardformer] register without auto policy
* [shardformer] pre-commit check files
* [shardformer] fix chatglm configuration with pre-commit
* [shardformer] added tests
* [shardformer] vit test finish and support
* import chatglm
* [shardformer] add test kit in model zoo for chatglm
* [sharformer] add first version of policy of chatglm
* [shardformer] polish chatglm code
* [shardformer] polish code
* [shardformer] support chatglm without layernorm
* [shardformer] delete some file
* [shardformer] ChatGLM support layernorm sharding
* [shardformer] register without auto policy
* [shardformer] pre-commit check files
* [shardformer] support ChatGLMForConditionalGeneration & add fusedlayernorm for vit
* [shardformer] support Blip2 (#4243)
* support base blip2
* add support for downstream blip2 model
* update readme
* add forward injection
* skip not compatible models test
* fix test for gemini and low_level_zero_pugin
* [shardformer] chatglm support flash attention and jit operator
* [shardformer] chatglm support flash attention and jit operator
* [shardformer] chatglm support flash attention and jit operator
* [shardformer] chatglm support flash attention and jit operator
---------
Co-authored-by: Kun Lin <81014421+klhhhhh@users.noreply.github.com>
Co-authored-by: FoolPlayer <45593998+FoolPlayer@users.noreply.github.com>
Co-authored-by: klhhhhh <1412841649@qq.com>
* [shardformer] vit support flash attention and jit operator (#4334)
* Feature/vit support (#4182)
* [shardformer] added tests
* [shardformer] vit test finish and support
* fix attention dropout
* [shardformer] support SAM (#4231)
* 1.support sam 2.add fused qkv for nn.Linear
* update utils support set element in list
* overtwrite SamVisionAttention foward to use DropoutForParallelInput
* remove unused code
* [shardformer] support whisper (#4212)
* support whisper
* fix bug in vocabembedding
* support downstream model of whisper
* update readme
* Feature/chatglm (#4240)
* [shardformer] added tests
* [shardformer] vit test finish and support
* [shardformer] chatglm ready
* import chatglm
* [shardformer] add test kit in model zoo for chatglm
* [sharformer] add first version of policy of chatglm
* [shardformer] polish chatglm code
* [shardformer] polish code
* [shardformer] support chatglm without layernorm
* [shardformer] chatglm shard without mlp sharding
* [shardformer] delete some file
* [shardformer] ChatGLM support layernorm sharding
* [shardformer] register without auto policy
* [shardformer] pre-commit check files
* [shardformer] fix chatglm configuration with pre-commit
* [shardformer] added tests
* [shardformer] vit test finish and support
* import chatglm
* [shardformer] add test kit in model zoo for chatglm
* [sharformer] add first version of policy of chatglm
* [shardformer] polish chatglm code
* [shardformer] polish code
* [shardformer] support chatglm without layernorm
* [shardformer] delete some file
* [shardformer] ChatGLM support layernorm sharding
* [shardformer] register without auto policy
* [shardformer] pre-commit check files
* [shardformer] support ChatGLMForConditionalGeneration & add fusedlayernorm for vit
* [shardformer] support Blip2 (#4243)
* support base blip2
* add support for downstream blip2 model
* update readme
* add forward injection
* skip not compatible models test
* fix test for gemini and low_level_zero_pugin
* [shardformer] vit support flash attention and jit operator
* [shardformer] vit support flash attention and jit operator
---------
Co-authored-by: Kun Lin <81014421+klhhhhh@users.noreply.github.com>
Co-authored-by: FoolPlayer <45593998+FoolPlayer@users.noreply.github.com>
Co-authored-by: klhhhhh <1412841649@qq.com>
* [pipeline] merge flash attention branch
* [pipeline] merge flash attention branch
* [pipeline] merge flash attention branch
* [pipeline] fix conflict
* [pipeline] fix conflict
* Merge branch 'feature/pipeline' into feature/pipeline
* Merge branch 'feature/pipeline' into feature/pipeline
* Merge branch 'feature/pipeline' into feature/pipeline
* activate checks
* activate checks
* activate checks
* activate checks
* activate checks
* activate checks
* activate checks
* activate checks
* fix flash attention tests
* gemini ignore whisper
* fix vit
* fix xformers import handle
---------
Co-authored-by: Frank Lee <somerlee.9@gmail.com>
Co-authored-by: Kun Lin <81014421+klhhhhh@users.noreply.github.com>
Co-authored-by: FoolPlayer <45593998+FoolPlayer@users.noreply.github.com>
Co-authored-by: klhhhhh <1412841649@qq.com>
* fix llama test
* fix test bug of bert, blip2, bloom, gpt2
* fix llama test
* fix opt test
* fix sam test
* fix sam test
* fix t5 test
* fix vit test
* fix whisper test
* fix whisper test
* polish code
* adjust allclose parameter
* Add mistakenly deleted code
* addjust allclose
* change loss function for some base model
* support base blip2
* add support for downstream blip2 model
* update readme
* add forward injection
* skip not compatible models test
* fix test for gemini and low_level_zero_pugin
* [shardformer] added tests
* [shardformer] vit test finish and support
* [shardformer] chatglm ready
* import chatglm
* [shardformer] add test kit in model zoo for chatglm
* [sharformer] add first version of policy of chatglm
* [shardformer] polish chatglm code
* [shardformer] polish code
* [shardformer] support chatglm without layernorm
* [shardformer] chatglm shard without mlp sharding
* [shardformer] delete some file
* [shardformer] ChatGLM support layernorm sharding
* [shardformer] register without auto policy
* [shardformer] pre-commit check files
* [shardformer] fix chatglm configuration with pre-commit
* 1.support sam 2.add fused qkv for nn.Linear
* update utils support set element in list
* overtwrite SamVisionAttention foward to use DropoutForParallelInput
* remove unused code
* add naive optimizer for 3DPlugin/refactor gpt2 shardformer test
* merge tests of PP/DP/TP combinations into one test file
* fix bug when sync grad for dp in HybridPlugin
* update supported precisions for 3DPlugin/fix bug when shifting tp_degree
* improve the passing of lazy_init
* modify lazy_init/use sync_shared_params
* refactor tests
* refactor bloom model
* finish policy tests
* refactor tests
* fix test pure pipeline
* remove test pipeline and cutdown launch process
* refactor tests
* refactor bloom model
* finish policy tests
* refactor tests
* fix test pure pipeline
* remove test pipeline and cutdown launch process
* Feature/vit support (#4182)
* [shardformer] added tests
* [shardformer] vit test finish and support
* fix attention dropout
* support base vit pipeline
* support vit downstream model
* fix vit shard test
* modify hidden states return type
---------
Co-authored-by: Kun Lin <81014421+klhhhhh@users.noreply.github.com>
* complete policy for T5Model & T5ForConditionalGeneration
* modify function signature in forwards
* add forward for T5model
* add forward for T5ForConditionalGeneration
* fix a bug
* fix hidden_states transporting in decoder
* fix the passing of encoder_outputs
* bloom policy
* llama pipeline forward and tests
* fix the output and attention_mask
* fix name
* bind argument to policy
* Revert "bloom policy"
This reverts commit 8dee68a0a2.
This policy should be revert and copied to feature/bloom
* revert the bloom changes
* cancel unneeded inputs
* gpt
* finish llama
* causal lm and sequence classification
* revision
* add pure pipeline test
* fixed version
* fixed version
* pure pipeline
* opt forward and test
* pause
* finish opt model pipeline
* finish opt pipeline
* opt forward and test
* pause
* finish opt model pipeline
* finish opt pipeline
* fix opt
* set transformers version
* refactor the test pipeline
* bloom policy
* llama pipeline forward and tests
* fix the output and attention_mask
* fix name
* bind argument to policy
* Revert "bloom policy"
This reverts commit 8dee68a0a2.
This policy should be revert and copied to feature/bloom
* revert the bloom changes
* cancel unneeded inputs
* gpt
* finish llama
* causal lm and sequence classification
* revision
* add pure pipeline test
* finish some bert models
* finish all bert models
* finish bert tests
* fix bugs
* fix bugs
* fix test pipeline
* fix data gen for qa
* update the set pipeline forward
* shared params
* fix bugs
* * fix typehint & docstring in sharder.py
* * update pipeline forward for GPT2Model
* * add test for pipeline forward of GPT2Model
* * add cache cleaning in gpt2 test
* * change assert to raise command
* bloom policy
* llama pipeline forward and tests
* fix the output and attention_mask
* fix name
* bind argument to policy
* finish bloom model
* test shard gpt2
* clear cache
* bloom policy
* llama pipeline forward and tests
* fix the output and attention_mask
* fix name
* bind argument to policy
* Revert "bloom policy"
This reverts commit 8dee68a0a2.
This policy should be revert and copied to feature/bloom
* revert the bloom changes
* cancel unneeded inputs
* gpt
* finish llama
* causal lm and sequence classification
* revision
* bloom policy
* llama pipeline forward and tests
* fix the output and attention_mask
* fix name
* bind argument to policy
* Revert "bloom policy"
This reverts commit 8dee68a0a2.
This policy should be revert and copied to feature/bloom
* revert the bloom changes
* cancel unneeded inputs
* gpt
* [shardformer] support lazy init
* [shardformer] linear support lazy init
* [shardformer] embedding support lazy init
* [shardformer] norm support lazy init
* [shardformer] fused linear support lazy init
* [test] update shardformer test layer
* [test] shardformer with lazy init fit ddp
* [lazy] hotfix deepcopy of param
* [shardformer] fix bert policy and update test
* [shardformer] fix bloom policy and update test
* [shardformer] fix opt policy and update test
* [shardformer] fix t5 policy and update test
* [shardformer] fix gpt2 policy and update test
* [shardformer] fix llama policy and update test
* add pipeline policy and bert forward to be done
* add bertmodel pipeline forward and make tests
* add Bert_Policy and test for policy
* update formatting
* update formatting
* update the code
* fix bugs
* fix name confilt
* add bloom model and policy ,revise the base class of policy
* revise
* revision
* add bert_for_pretraining
* add bert_for_pretraining forward and policy
* fix typos
* cancel warning
* change the imediate output to default dict
* change the default output of get_shared_params
Frank Lee