Commit Graph

440 Commits

Author SHA1 Message Date
OlivierDehaene e74bd41e0f
feat(server): add paged attention to flash models (#516)
Closes #478
2023-06-30 19:09:59 +02:00
Robert Kimball 70f485bf9f
feat(router): add header option to disable buffering for the generate_stream response (#498)
# This PR adds an http header option to disable buffering for the
generate_stream endpoint response stream.

Problem: If a model is run behind a proxy server such as nginx that has
buffering enabled then the response stream from generate_stream gets
aggregated into a single response which basically disables streaming.
Instead of getting a chunked response where each token is presented over
time the response presents everything all at once.

Solution: This change adds the `X-Accel-Buffering` http header which
disables buffering for the generate_stream response, allowing the
response to stream properly.
2023-06-28 11:50:12 +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?
- [ ] Was this discussed/approved via a Github issue or the
[forum](https://discuss.huggingface.co/)? Please add a link
      to it if that's the case.
- [ ] Did you make sure to update the documentation with your changes?
Here are the
[documentation
guidelines](https://github.com/huggingface/transformers/tree/main/docs),
and
[here are tips on formatting
docstrings](https://github.com/huggingface/transformers/tree/main/docs#writing-source-documentation).
- [ ] Did you write any new necessary tests?


## Who can review?

Anyone in the community is free to review the PR once the tests have
passed. Feel free to tag
members/contributors who may be interested in your PR.

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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
OlivierDehaene bd3a9d8e85
fix(router): add timeout on flume sends (#488) 2023-06-23 14:58:28 +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
sayf eddine hammemi ca650e5bff
fix(makefile): Fix typo and use POSIX comparison in the makefile (#443)
# What does this PR do?

This PR fixes:
- The usage of non posix comparison which may fail depending on the
shell used (`=` will always work, `==` only with bash)
- Typo in the env variable name displayed in the error message
`BUILD_EXTENSION` instead of `BUILD_EXTENSIONS`

<!-- Remove if not applicable -->

Fixes #422
2023-06-12 15:24:53 +02:00
A.J d4eb60f48d
docs(launcher): fix CUDA_VISIBLE_DEVICES helper comment (#441)
# What does this PR do?
It solves a typo in the comment sections referencing the environment
variable `CUDA_VISIBLE_DEVICES`. No misspelling references to this
variable have been found in code logic leading to undefined behaviour or
bugs. This PR is not expected to perform any code logic modification.
2023-06-12 13:59:22 +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 19c41824cb chore: update openapi schema 2023-06-05 18:16:08 +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 83b84486ad
feat(launcher): parse oom signal (#404) 2023-06-02 14:17:27 +02:00
OlivierDehaene 62fc401030
feat(sagemaker): add trust remote code to entrypoint (#394) 2023-06-02 09:51:06 +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 db2ebe3947 v0.8.1 2023-05-31 12:08:40 +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 444400b457 increase health checks 2023-05-31 10:55:59 +02:00
OlivierDehaene 081b926584 v0.8.0 2023-05-30 18:39:35 +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
OlivierDehaene 49a6c8c1b2 fix(launcher): parse num cuda devices from CUDA_VISIBLE_DEVICES and NVIDIA_VISIBLE_DEVICES 2023-05-30 13:27:48 +02:00
OlivierDehaene 146e72c3be fix(launcher): parse num cuda devices from CUDA_VISIBLE_DEVICES and NVIDIA_VISIBLE_DEVICES 2023-05-30 12:52:18 +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 951930fbff
feat(benchmarker): add summary tables (#368) 2023-05-25 13:38:36 +02:00
OlivierDehaene 218c9adaa5
feat: decrease IPC proto size (#367)
Closes #307 #308
2023-05-24 19:19:57 +02:00
OlivierDehaene d31562f300
v0.7.0 (#353) 2023-05-23 21:20:49 +02:00
OlivierDehaene 942005386a
feat(router): log input/ouput at debug level (#364)
@njhill FYI
2023-05-23 20:47:37 +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 94377efa78
chore(sever): update requirements (#357)
Fixes #338
2023-05-23 18:03:22 +02:00
OlivierDehaene 5f67923cac
feat: add nightly load testing (#358) 2023-05-23 17:42:19 +02:00
oOraph 0a6494785c
fix(ci): fix security group (#359)
# What does this PR do?
Switch security group used for ci
(open outbound rules)

Signed-off-by: Raphael <oOraph@users.noreply.github.com>
Co-authored-by: Raphael <oOraph@users.noreply.github.com>
2023-05-23 16:49:11 +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
Xin Yang 1ba78207e6
fix: set MODEL_ID in sagemaker-entrypoint script (#343) 2023-05-22 10:10:21 +02:00