Commit Graph

490 Commits

Author SHA1 Message Date
Nicolas Patry ecf6dc3a5a
feat: Add the option to force another dtype than `f16`. (#513) 2023-06-30 20:30:09 +02:00
OlivierDehaene e74bd41e0f
feat(server): add paged attention to flash models (#516)
Closes #478
2023-06-30 19:09:59 +02:00
Antoni Baum ae466a8736
fix(server): Do not init process group if already initialized (#388) 2023-06-26 12:32:54 +02:00
Nicolas Patry aefde28b45
feat(server): Add inference support for GPTQ (llama + falcon tested) + Quantization script (#438)
Let's start discussing implementation.

- Need to expose the quantization scripts (either included here or add
doc on how to use https://github.com/qwopqwop200/GPTQ-for-LLaMa)
- Make sure GPTQ works for multiple models (priority to Falcon).

Currently it means that every place we use `get_{tensor|sharded}` to
check for quantization.

My idea is to reintegrate as much as possible into `utils/layer.py` by
expanding `load_multi` to be a bit more generic.
This might require some thinking, but ultimately the
`qweight,qzeros,scales,g_idx` should be in a single place, and
independant of bias presence.

# What does this PR do?

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Fixes # (issue)


## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the
other checks if that's the case).
- [ ] Did you read the [contributor
guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-requests),
      Pull Request section?
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[forum](https://discuss.huggingface.co/)? Please add a link
      to it if that's the case.
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---------

Co-authored-by: Ubuntu <ubuntu@ip-172-31-41-161.ec2.internal>
Co-authored-by: OlivierDehaene <olivier@huggingface.co>
2023-06-26 12:27:01 +02:00
Nicolas Patry 776d150c55
feat(server): Adding new ignore_rule for conversion. (#485) 2023-06-23 12:41:13 +02:00
Nicolas Patry 49b4b33e80
feat(server): Update convert logic. (#483)
Should be more robust to shared tensors (ok when using
      `from_pretrained). But forcing us to add new checks in our loading
      code (since the chosen key to keep might be different from
      `transformers`).

---------

Co-authored-by: Ubuntu <ubuntu@ip-172-31-41-161.ec2.internal>
2023-06-23 12:40:46 +02:00
Nicolas Patry c9c65ab323
fix(server): Fixing T5 in case the names are mixed up. (#475) 2023-06-20 18:03:36 +02:00
OlivierDehaene 53aa9194c8
fix(server): fix warpers on CPU (#472)
Closes #471
2023-06-20 11:06:10 +02:00
OlivierDehaene ece7ffa40a
feat(server): improve flash attention import errors (#465)
@lewtun, is this enough?

Closes #458
Closes #456
2023-06-19 09:53:45 +02:00
OlivierDehaene f59fb8b630
feat(router): add ngrok integration (#453) 2023-06-16 16:25:11 +02:00
OlivierDehaene 5ce89059f8
feat(server): pre-allocate past key values for flash causal LM (#412) 2023-06-12 18:30:29 +02:00
OlivierDehaene e496c9ba5b
feat(server): optimize dist ops (#434) 2023-06-09 11:55:29 +02:00
Nicolas Patry abd58ff82c
feat(server): Rework model loading (#344)
# What does this PR do?

Reworked the loading logic. Idea is to use cleaner loading code:

- Remove need for `no_init_weights`
- Remove all weird `bnb_linear` and `load_weights` and
`post_load_weights`.

New code layout:

- New class `Weights` in charge of handling loading the weights from
multiple files into appropiate tensors (potentially sharded)
- TP layers now are "shells", they contain the code to know what kind of
sharding we need + eventual `all_reduce`. They do not inherit from
linear, but they contain some kind of Linear instead
- the contained linear can be either FastLinear, BnbLinear or GPTq
Linear next.
- All modeling code is explictly made for sharding, process group is
just no-ops for non sharded code (removes a lot of test cases)

![Screenshot from 2023-05-19
23-19-59](https://github.com/huggingface/text-generation-inference/assets/204321/9a802654-74a3-488c-87a8-073743a6143f)

---------

Co-authored-by: Ubuntu <ubuntu@ip-172-31-41-161.taildb5d.ts.net>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-41-161.ec2.internal>
Co-authored-by: OlivierDehaene <olivier@huggingface.co>
Co-authored-by: OlivierDehaene <23298448+OlivierDehaene@users.noreply.github.com>
2023-06-08 14:51:52 +02:00
OlivierDehaene 6abec14a7e
feat(server): batch tokenization for flash causal lm (#411) 2023-06-05 16:09:41 +02:00
OlivierDehaene 895c5f1562
feat(server): only compute prefill logprobs when asked (#406)
Close #288
2023-06-02 17:12:30 +02:00
OlivierDehaene e7248fe90e v0.8.2 2023-06-01 19:49:13 +02:00
OlivierDehaene 95d3546976
feat(server): load santacoder/starcoder models with safetensors (#393)
Fix #366
2023-06-01 12:10:35 +02:00
OlivierDehaene c0928e6f26
feat(server): remove trust_remote_code requirement for falcon models (#396) 2023-06-01 12:07:41 +02:00
OlivierDehaene d69a0633be
fix(server): fix has_position_ids (#395)
Fix #389
2023-06-01 11:41:35 +02:00
OlivierDehaene 337afb2842
fix(server): fix bnb quantization for CausalLM models (#385) 2023-05-31 11:48:28 +02:00
OlivierDehaene 87dc034b59
feat(server): add retry on download (#384) 2023-05-31 10:57:53 +02:00
OlivierDehaene b8b950b37c
feat(server): support RefinedWeb models (#379) 2023-05-30 18:25:19 +02:00
OlivierDehaene bf7f1d5434 fix(server): fix quantization 2023-05-30 13:56:03 +02:00
CL-Shang 5fde8d9991
Fix issue when load AutoModelForSeq2SeqLM model (#370) 2023-05-26 12:31:47 +02:00
OlivierDehaene 62f91f78ac
feat(server): support vectorized warpers in flash causal lm (#317)
Co-authored-by: Joel Lamy-Poirier <joel.lamy-poirier@servicenow.com>
2023-05-26 12:30:27 +02:00
OlivierDehaene 218c9adaa5
feat: decrease IPC proto size (#367)
Closes #307 #308
2023-05-24 19:19:57 +02:00
OlivierDehaene e3e487dc71
feat(server): support trust_remote_code (#363) 2023-05-23 20:40:39 +02:00
OlivierDehaene e9669a4085
feat(server): do not use device_map auto on single GPU (#362) 2023-05-23 19:12:12 +02:00
OlivierDehaene cfaa858070
feat(server): support fp16 for t5 (#360)
Fixes #349
2023-05-23 18:16:48 +02:00
OlivierDehaene 4f4c9c1665
fix(server): t5 cannot run in f16 (#356)
Fix #349
2023-05-23 12:15:54 +02:00
OlivierDehaene 91d9beec90
fix(server): fix init for flash causal lm (#352)
Fixes #347
2023-05-22 15:05:32 +02:00
OlivierDehaene e649bf9a55
feat(server): Support BLOOMChat-176B (#348) (#351)
@njhill, 
temporary workaround to be able to run our CI as secrets are not
available to runners run by external contributors. I will ask around to
see if there is a better way.

Co-authored-by: Nick Hill <nickhill@us.ibm.com>
2023-05-22 13:36:00 +02:00
OlivierDehaene 5a58226130
fix(server): fix decode token (#334)
Fixes #333

---------

Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
2023-05-16 23:23:27 +02:00
OlivierDehaene e71471bec9
feat: add snapshot testing (#282) 2023-05-15 23:36:30 +02:00
Nicolas Patry f58f0a0364
Single place for TP layers + Dropout Layer Norm + FastLinear (#329)
# What does this PR do?

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2023-05-15 17:30:47 +02:00
Nicolas Patry d7a97aa0b6
Removing dead variables. (#327)
# What does this PR do?

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2023-05-15 15:14:17 +02:00
Nicolas Patry 91e674bb85
Lifting check_unitialized. (#325)
# What does this PR do?

Lifting check_unitialized.

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2023-05-15 11:32:25 +02:00
Nicolas Patry 73d84c6ee5
Hotfixes for santacoder/bigcode. (#294)
# What does this PR do?

Hotfixes:

- Uses `model_type`=`gpt_bigcode` for more general usage.
- Hotfixes linked lm_head vs wte_embedding (safetensors file do not
contain the key, correctly when the file is sharded, where as pytorch
copies the tensor)


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---------

Co-authored-by: Ubuntu <ubuntu@ip-172-31-41-161.ec2.internal>
Co-authored-by: OlivierDehaene <olivier@huggingface.co>
2023-05-15 10:35:20 +02:00
OlivierDehaene 8a8f43410d
chore(docker): use nvidia base image (#318) 2023-05-12 17:32:40 +02:00
Nicolas Patry 76a48cd365
feat(server): GPTQ quantization (step1) (#277)
Changes only the type from `bool` to `Option<Enum>` pretty much
everywhere.
- Use `Optional[str]` in Python (easier to manage than importing type
everywhere). Except for the cli to get proper validation
- Updated all models to handle gracefully new values. (Error out if
unknown value, or gptq since not implemented).

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## Before submitting
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      Pull Request section?
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      to it if that's the case.
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2023-05-12 14:46:41 +02:00
OlivierDehaene 4f6d038c0b fix(server): fix multinomial implem in Sampling 2023-05-11 13:30:38 +02:00
OlivierDehaene a6c18c39bb
feat(server): use cuda graph in logits warping (#302) 2023-05-10 19:08:54 +02:00
OlivierDehaene 745f596c88
feat(server): use float16 (#304) 2023-05-10 15:51:10 +02:00
OlivierDehaene 68e9d6ab33
feat(server): shard token decode (#303) 2023-05-10 15:48:21 +02:00
OlivierDehaene ad66f6ef9a
feat(server): optim flash causal lm decode_token (#285) 2023-05-09 18:26:19 +02:00
Nicolas Patry b4aa87db58
fea(server): decrease convert RAM requirements (#286) 2023-05-05 17:57:02 +02:00
Nicolas Patry 690fc31757
fix(server): fix convert (#284) 2023-05-05 15:28:08 +02:00
Nicolas Patry f08343d44d
fix(server): Removes the parallelism in file convertion (during download) (#275) 2023-05-04 15:22:54 +02:00
OlivierDehaene 85aa7e2e7b
feat(server): support hf endpoint weight layout (#266) 2023-05-03 11:36:24 +02:00
OlivierDehaene 4096000e34
fix(server): fix typo in tokenizers decode (#269)
closes #268
2023-05-03 10:10:34 +02:00
Ehsan M. Kermani f092ba9b22
feat(server): add watermarking tests (#248) 2023-04-27 19:16:35 +02:00
Nick Hill 34bca0b8d3
fix(server): Small tidy of code from recent changes (#251)
remaining_decode_tokens was calculated twice in Seq2SeqLMBatch.filter()
2023-04-27 09:57:28 +02:00
Nick Hill b4cf832c40
fix(server): fix reshaping of bloom past_key_values in concatenate() (#252)
Introduced in #214 

Fixes #249
2023-04-27 09:51:27 +02:00
Nicolas Patry db2b4e0754
feat(router): new healthcheck that skips the queue (#244)
Co-authored-by: OlivierDehaene <23298448+OlivierDehaene@users.noreply.github.com>
Co-authored-by: OlivierDehaene <olivier@huggingface.co>
2023-04-26 20:23:54 +02:00
OlivierDehaene ebc74d5666
feat(router): use number of tokens in batch as input for dynamic batching (#226)
Co-authored-by: Nick Hill <nickhill@us.ibm.com>
2023-04-24 17:59:00 +02:00
Nick Hill 4a7dd4085a
feat(server): reduce memory requirement (#214) 2023-04-24 14:15:42 +02:00
OlivierDehaene 4b460e72fb
fix(server): fix flash batch filtering (#220) 2023-04-21 20:26:01 +02:00
OlivierDehaene 1ffea36ec2
fix(server): fix flash causal (#219) 2023-04-21 19:49:08 +02:00
OlivierDehaene 86bca365df
fix(server): fix flash causal (#218) 2023-04-21 19:42:16 +02:00
OlivierDehaene afc5b999d0
fix(server): cleanup new flash past_key_values logic (#217) 2023-04-21 16:19:04 +02:00
OlivierDehaene db4cb5e4ed
fix(server): fix past key values logic (#216)
@njhill fyi
2023-04-21 15:59:18 +02:00
OlivierDehaene 343437c7b5
feat(router): add device and dtype info (#215) 2023-04-21 15:36:29 +02:00
Nick Hill ac8c0f6fe4
feat(server): flash attention past key value optimizations (#213) 2023-04-21 14:57:18 +02:00
OlivierDehaene 709d8936f6
feat(router): drop requests when client closes the channel (#202) 2023-04-20 11:07:40 +02:00
OlivierDehaene b6ee0ec7b0
feat(router): add git sha to info route (#208) 2023-04-19 21:36:59 +02:00
OlivierDehaene a88c54bb4c
feat(server): check cuda capability when importing flash models (#201)
close #198
2023-04-19 12:52:37 +02:00
OlivierDehaene e14ae3b5e9
feat(server): support quantization for flash models (#200)
closes #197
2023-04-19 12:51:11 +02:00
OlivierDehaene 7a1ba58557
fix(docker): fix docker image dependencies (#187) 2023-04-17 00:26:47 +02:00
OlivierDehaene 880a76eed5
feat(server): support sharded santacoder (#167) 2023-04-12 17:18:08 +02:00
OlivierDehaene 5fa8ae041c
feat(server): optimize decode for sane tokenizers (#170) 2023-04-12 12:03:10 +02:00
OlivierDehaene f26dfd0dc1
feat(server): support OPT models (#55)
OPT models do not all have a `tokenizer.json` file on the hub at the
moment. Can't merge for now.
2023-04-11 19:16:41 +02:00
OlivierDehaene 299217c95c
feat(server): add flash attention llama (#144) 2023-04-11 16:38:22 +02:00
OlivierDehaene 9987960062
feat(router): make router input validation optional (#164) 2023-04-09 20:22:27 +02:00
OlivierDehaene 3f2542bb6a
fix(server): fix escape characters in stop sequence (#155) 2023-04-05 19:37:41 +02:00
OlivierDehaene c0aeb32583
feat(server): flash santacoder (#153) 2023-04-03 19:06:42 +02:00
OlivierDehaene 08b7e4a282
fix(server): fix flash neox rotary embeddings (#150) 2023-03-30 16:12:23 +02:00
OlivierDehaene 610bb1f978
feat(benchmark): tui based benchmarking tool (#149) 2023-03-30 15:26:27 +02:00
OlivierDehaene c9bdaa8b73
feat(server): reduce mlp and attn in one op for flash neox (#145) 2023-03-28 16:51:41 +02:00
OlivierDehaene f000068944
feat(server): clear cache on error (#143) 2023-03-28 11:29:35 +02:00
Nick Hill 462530c2b0
fix(server): Avoid using try/except to determine kind of AutoModel (#142) 2023-03-27 09:23:22 +02:00
OlivierDehaene 678b2f3900
feat(server): cleanup flash neox loading (#139) 2023-03-26 16:37:21 +02:00
OlivierDehaene d6a93fe992
fix(server): fix flash-neox scores warping (#137) 2023-03-24 18:21:41 +01:00
OlivierDehaene 05e9a796cc
feat(server): flash neoX (#133) 2023-03-24 14:02:14 +01:00
OlivierDehaene b49dbf2d88
fix(server): use server tokenizer as gt (#128) 2023-03-16 12:12:26 +01:00
OlivierDehaene 8ad60b752f
fix(server): add position ids to neox (#126) 2023-03-15 13:12:49 +01:00
OlivierDehaene c0795de2f2
fix(server): do not warp prefill logits (#116) 2023-03-09 13:00:10 +01:00
OlivierDehaene 1a2d68250a
feat: support typical sampling (#114)
closes #112
2023-03-09 11:33:57 +01:00
OlivierDehaene 941cd42e0c
fix(server): fix index out of range for watermarking (#110) 2023-03-08 18:29:08 +01:00
OlivierDehaene b1485e18c5
fix(server): fix galactica batch (#106)
closes #105
2023-03-07 20:05:21 +01:00
OlivierDehaene 3fef90d50f
feat(clients): Python client (#103) 2023-03-07 18:52:22 +01:00