fded91d049
[Inference] Kernel: no pad rotary embedding ( #5252 )
...
* fix bugs
* comment
* use more accurate atol
* fix
2024-01-11 13:46:14 +00:00
d40eb26029
fix bugs in request_handler.py and engine.py
2024-01-11 13:46:14 +00:00
10e3c9f923
rm torch.cuda.synchronize
2024-01-11 13:46:14 +00:00
fab294c7f4
fix CI bugs
2024-01-11 13:46:14 +00:00
2a73e828eb
fix bugs related to processing padding mask
2024-01-11 13:46:14 +00:00
e545a871b8
[Hotfix] Fix accuracy and align attention method api with Triton kernel ( #5229 )
...
* fix accuracy
* alignment in attention
* fix attention
* fix
* fix bugs
* fix bugs
* fix bugs
2024-01-11 13:46:14 +00:00
fa4fbdbffb
adapted to pad_context_forward
2024-01-11 13:44:06 +00:00
47e53eaa1c
fix bugs in attention.py and request_handler.py
2024-01-11 13:44:06 +00:00
bfd9b1b494
[Inference] Pytorch Attention func, pad&nopad input support ( #5219 )
...
* add attn
* add attention test
* fix attn forward
* fix decoding
2024-01-11 13:44:06 +00:00
3ad1f3b78b
fix beam_width
2024-01-11 13:39:56 +00:00
b2eb9cd186
Fixed a typo
2024-01-11 13:39:56 +00:00
bbfebfb9fc
fix bugs in sampler
2024-01-11 13:39:56 +00:00
02c1bf8b2a
add context_attention_unpadded
2024-01-11 13:39:56 +00:00
07b5283b6a
[kernel] Add triton kernel for context attention (FAv2) without padding ( #5192 )
...
* add context attn unpadded triton kernel
* test compatibility
* kv cache copy (testing)
* fix k/v cache copy
* fix kv cache copy and test
* fix boundary of block ptrs
* add support for GQA/MQA and testing
* fix import statement
---------
Co-authored-by: Round Heng <yuanhengzhao@Rounds-MacBook-Pro.local>
2024-01-11 13:39:56 +00:00
9489dc64d8
precision alignment
2024-01-11 13:39:56 +00:00
62968588d1
fix bugs in request_handler
2024-01-11 13:39:56 +00:00
62fd08ee44
Fixed a bug in the inference frame
2024-01-11 13:39:56 +00:00
86853a37d5
Add padding llama model
2024-01-11 13:39:56 +00:00
0e616462a7
[Inference] add logit processor and request handler ( #5166 )
...
* add logit processor and request handler
* add
* add
* add
* fix
* add search tokens and update func
* finish request handler
* add running list test
* fix test
* fix some bug
* add
* add
* fix bugs
* fix some bugs
* fix bug
* fix
* fix
* add copy fun
* del useless attn
* fix request status
---------
Co-authored-by: CjhHa1 <cjh18671720497outlook.com>
2024-01-11 13:39:56 +00:00
8daee26989
[Inference] Add the logic of the inference engine ( #5173 )
...
* 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
2024-01-11 13:39:56 +00:00
93aeacca34
[Inference]Update inference config and fix test ( #5178 )
...
* unify the config setting
* fix test
* fix import
* fix test
* fix
* fix
* add logger
* revise log info
---------
Co-authored-by: CjhHa1 <cjh18671720497outlook.com>
2024-01-11 13:39:29 +00:00
3de2e62299
[Inference] Add CacheBlock and KV-Cache Manager ( #5156 )
...
* [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)
2024-01-11 13:39:29 +00:00
fab9b931d9
[Inference]Add BatchInferState, Sequence and InferConfig ( #5149 )
...
* 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
2024-01-11 13:39:29 +00:00
2bb92243d4
[Inference/NFC] Clean outdated inference tests and deprecated kernels ( #5159 )
...
* [inference/nfc] remove outdated inference tests
* remove outdated kernel tests
* remove deprecated triton kernels
* remove imports from deprecated kernels
2024-01-11 13:39:29 +00:00
56e75eeb06
[Inference] Add readme (roadmap) and fulfill request handler ( #5147 )
...
* request handler
* add readme
---------
Co-authored-by: CjhHa1 <cjh18671720497outlook.com>
2024-01-11 13:39:29 +00:00
4cf4682e70
[Inference] First PR for rebuild colossal-infer ( #5143 )
...
* add engine and scheduler
* add dirs
---------
Co-authored-by: CjhHa1 <cjh18671720497outlook.com>
2024-01-11 13:39:29 +00:00
c174c4fc5f
[doc] fix doc typo ( #5256 )
...
* [doc] fix annotation display
* [doc] fix llama2 doc
2024-01-11 21:01:11 +08:00
e830ef917d
[ci] fix shardformer tests. ( #5255 )
...
* fix ci
fix
* revert: revert p2p
* feat: add enable_metadata_cache option
* revert: enable t5 tests
---------
Co-authored-by: Wenhao Chen <cwher@outlook.com>
2024-01-11 19:07:45 +08:00
d565df3821
[pipeline] A more general _communicate in p2p ( #5062 )
...
* A more general _communicate
* feat: finish tree_flatten version p2p
* fix: update p2p api calls
---------
Co-authored-by: Wenhao Chen <cwher@outlook.com>
2024-01-08 15:37:27 +08:00
b0b53a171c
[nfc] fix typo colossalai/shardformer/ ( #5133 )
2024-01-04 16:21:55 +08:00
451e9142b8
fix flash attn ( #5209 )
2024-01-03 14:39:53 +08:00
365671be10
fix-test ( #5210 )
...
fix-test
fix-test
2024-01-03 14:26:13 +08:00
d799a3088f
[pipeline]: add p2p fallback order and fix interleaved pp deadlock ( #5214 )
...
* fix: add fallback order option and update 1f1b
* fix: fix deadlock comm in interleaved pp
* test: modify p2p test
2024-01-03 11:34:49 +08:00
3c0d82b19b
[pipeline]: support arbitrary batch size in forward_only mode ( #5201 )
...
* fix: remove drop last in val & test dataloader
* feat: add run_forward_only, support arbitrary bs
* chore: modify ci script
2024-01-02 23:41:12 +08:00
02d2328a04
support linear accumulation fusion ( #5199 )
...
support linear accumulation fusion
support linear accumulation fusion
fix
2023-12-29 18:22:42 +08:00
4fa689fca1
[pipeline]: fix p2p comm, add metadata cache and support llama interleaved pp ( #5134 )
...
* 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
2023-12-22 10:44:00 +08:00
79718fae04
[shardformer] llama support DistCrossEntropy ( #5176 )
...
* fix
aaa
fix
fix
fix
* fix
* fix
* test ci
* fix ci
fix
* llama support dist-cross
fix
fix
fix
fix
fix
fix
fix
fix
* fix
* fix
* fix
fix
* test ci
* test ci
* fix
* [Colossal-Llama-2] Add finetuning Colossal-Llama-2 example (#4878 )
* Add finetuning Colossal-Llama-2 example
* Add finetuning Colossal-Llama-2 example 2
* Add finetuning Colossal-Llama-2 example and support NEFTuning
* Add inference example and refine neftune
* Modify readme file
* update the imports
---------
Co-authored-by: Xu Yuanchen <yuanchen.xu00@gmail.com>
Co-authored-by: Camille Zhong <44392324+Camille7777@users.noreply.github.com>
* llama support dist-cross
fix
fix
fix
fix
fix
fix
fix
fix
* fix
* fix
* fix
fix
* test ci
* test ci
* fix
* fix ci
* fix ci
---------
Co-authored-by: Yuanchen <70520919+chengeharrison@users.noreply.github.com>
Co-authored-by: Xu Yuanchen <yuanchen.xu00@gmail.com>
Co-authored-by: Camille Zhong <44392324+Camille7777@users.noreply.github.com>
2023-12-13 01:39:14 +08:00
21aa5de00b
[gemini] hotfix NaN loss while using Gemini + tensor_parallel ( #5150 )
...
* fix
aaa
fix
fix
fix
* fix
* fix
* test ci
* fix ci
fix
2023-12-08 11:10:51 +08:00
3dbbf83f1c
fix ( #5158 )
...
fix
2023-12-05 14:28:36 +08:00
2a2ec49aa7
[plugin]fix 3d checkpoint load when booster boost without optimizer. ( #5135 )
...
* fix 3d checkpoint load when booster boost without optimizer
fix 3d checkpoint load when booster boost without optimizer
* test ci
* revert ci
* fix
fix
2023-11-30 18:37:47 +08:00
d10ee42f68
[format] applied code formatting on changed files in pull request 5088 ( #5127 )
...
Co-authored-by: github-actions <github-actions@github.com>
2023-11-29 13:38:37 +08:00
7172459e74
[shardformer]: support gpt-j, falcon, Mistral and add interleaved pipeline for bert ( #5088 )
...
* [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>
2023-11-28 16:54:42 +08:00
126cf180bc
[hotfix] fixed memory usage of shardformer module replacement ( #5122 )
2023-11-28 15:38:26 +08:00
68fcaa2225
remove duplicate import ( #5100 )
2023-11-23 15:15:01 +08:00
3acbf6d496
[npu] add npu support for hybrid plugin and llama ( #5090 )
...
* llama 3d
* update
* fix autocast
2023-11-22 19:23:21 +08:00
aae496631c
[shardformer]fix flash attention, when mask is casual, just don't unpad it ( #5084 )
...
* fix flash attn
* fix
fix
2023-11-22 16:00:07 +08:00
75af66cd81
[Hotfix] Fix model policy matching strategy in ShardFormer ( #5064 )
...
* hotfix/Fix get model policy strategy in ShardFormer
* fix bug in auto policy
2023-11-22 11:19:39 +08:00
4ccb9ded7d
[gemini]fix gemini optimzer, saving Shardformer in Gemini got list assignment index out of range ( #5085 )
2023-11-22 11:14:25 +08:00
dce05da535
fix thrust-transform-reduce error ( #5078 )
2023-11-21 15:09:35 +08:00
1cd7efc520
[inference] refactor examples and fix schedule ( #5077 )
...
* [setup] refactor infer setup
* [hotfix] fix infenrece behavior on 1 1 gpu
* [exmaple] refactor inference examples
2023-11-21 10:46:03 +08:00
Jianghai