Commit Graph

154 Commits

Author SHA1 Message Date
Wang, Yi 07e240ca37
add doc for intel gpus (#2181)
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>
2024-07-08 15:57:06 +02:00
Nicolas Patry fb2f74e2b9
Refactor dead code - Removing all `flash_xxx.py` files. (#2166)
* Refactor dead code.

* First working step.

* Remove a lot of duplicated code.

* More dead code.

* More cleanup.

* Fix Santacoder test.

* Fixing the simple tests.

* Fixing sharding.

* Fixes for VLM.

* Fixing santacoder (num_kv_heads hardcoded).

* Removing more dead code.

* Fixing `config.n_head`.

* Stopping earlier because of `<end_of_utterance>` in idefics2.

* Addresses comments.

* Removing the dead code.

* Fuse back mistral into FlashCausalLM.

* Finish removal.

* Fixing docs + causal_lm `batch_class`.

* Fixing docs + causal.lm.

* Add default to Gemma Causality.

* Default value for gemma/gemma2.

* Wrong default.
2024-07-05 10:29:56 +02:00
Nicolas Patry 245d3de948
Preparing patch release. (#2186) 2024-07-04 10:55:33 +02:00
Nicolas Patry 5ad41aa2a6
Fixing missing `object` field for regular completions. (#2175)
* Fixing missing `object` field for regular completions.

* Fixing docs by re-adding missing `Prompt`.
2024-07-03 12:56:27 +02:00
Nicolas Patry be4a4c47f9
Revert "Fixing missing `object` field for regular completions."
This reverts commit 2bbb7fa4b2.
2024-07-03 10:41:39 +00:00
Nicolas Patry 2bbb7fa4b2
Fixing missing `object` field for regular completions. 2024-07-03 10:40:22 +00:00
drbh 571530dd9a
feat: improve update_docs for openapi schema (#2169)
* feat: add pre commit step to force schema update when router changes

* fix: prefer improved update_doc and start server and compare

* fix: adjust typo

* fix: adjust revert typo

* fix: update workflow to use update_doc md command

* feat: improve workflow to check openapi schema too

* fix: adjust timeout for CI

* fix: adjust raise condition and install server in ci

* fix: install protoc before server

* feat: improve update doc and add command to print router schema

* fix: adjust autodoc workflow

* fix: explicitly install protoc and python

* fix: alllow trailing space in openapi schema diff
2024-07-03 09:53:35 +02:00
Nicolas Patry 3ea8259af1
Fixing gemma2. (#2135)
* Fixing gemma2.

* Adding new model.
2024-06-27 16:04:20 +02:00
Nicolas Patry b53b21c63a
Bumping to 2.1 (#2131) 2024-06-27 12:34:43 +02:00
drbh 04e1af94d7
Enable multiple LoRa adapters (#2010)
* feat: first draft load multiple lora

* feat: load weights within layer and refactor lora pass

* fix: refactor and reduce lora math

* feat: baseline impl single request multi lora support

* feat: prefer lorax implementation and port loading logic

* fix: prefer adapter_data and refactors

* feat: perfer loraxs custom punica kernels and add mlp loras

* fix: adjust batch for bgmv

* fix: adjust adapter_segments logic when in batch

* fix: refactor and move changes to v3 proto

* fix: pass model_id for all flash causal lms

* fix: pass model_id for all causal and seq2seq lms

* fix: add model_id to model test

* feat: add lora support to mistral and refactors

* feat: prefer model id in request

* fix: include rust code for adapter id

* feat: bump launcher and add new lora docs

* feat: support base model generation and refactors

* fix: rename doc to retry ci build

* feat: support if vlm models

* fix: add adapter_data param and avoid missing layers

* fix: add adapter_data param to phi and neox

* fix: update all models forwards to include adapter_data

* fix: add model_id to IdeficsCausalLM

* Update lora.md

Fixed a typo

* Update lora.md

Fixing spam image

* fix: add lora kernel to dockerfile, support running without kernels and refactors

* fix: avoid dockerfile conflict

* fix: refactors and adjust flash llama lora logic

* fix: skip llama test due to CI issue (temp)

* fix: skip llama test CI (temp) 2

* fix: revert skips and prefer updated ci token for tests

* fix: refactors and helpful comments

* fix: add noop in TensorParallelAdapterRowLinear too

* fix: refactor and move shard_lora_weights logic

* fix: exit early if no adapter_data

---------

Co-authored-by: Derek <datavistics@gmail.com>
2024-06-25 14:46:27 -04:00
KevinDuffy94 1869ee2f57
Add OTLP Service Name Environment Variable (#2076)
* Adding Service Name Environment variable for https://github.com/huggingface/text-generation-inference/issues/2069

* Update Docs

* Update README.md

* Update Launcher Docs

* Update Launcher Docs
Removing Option
2024-06-25 09:33:01 +02:00
Lucain 3447c722fd
Support `HF_TOKEN` environment variable (#2066)
* Support HF_TOKEN environement variable

* Load test.

---------

Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
2024-06-25 09:23:12 +02:00
Alvaro Moran 445f313504
Adding architecture document (#2044)
* doc: adding architecture document

* doc: add architecture to toctree

* fix: avoid cargo lock changes

* fix: avoid cargo lock tweak

---------

Co-authored-by: drbh <david.richard.holtz@gmail.com>
2024-06-14 09:28:34 -04:00
Tiezhen WANG 96b7b40ca3
Update the link for qwen2 (#2068)
* Update the link for qwen2

* Fix Qwen2 model URL in model table

* Fix too eager staging

---------

Co-authored-by: Daniël de Kok <me@danieldk.eu>
2024-06-14 11:59:33 +02:00
Daniël de Kok 4594e6faba Add support for Marlin-quantized models
This change adds support for Marlin-quantized models. Marlin is an
FP16xINT4 matmul kernel, which provides good speedups decoding batches
of 16-32 tokens. It supports quantized models with symmetric
quantization, groupsize -1 or 128, and 4-bit.

Tested with:

- Llama 2
- Llama 3
- Phi 3
2024-06-06 13:16:52 +02:00
Emmanuel Ferdman fec0167a12
fix: update triton implementation reference (#2002)
# What does this PR do?

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PR #1986 moved the location of the `flash_attn_triton.py` file. This PR
adjusts sources to changes.


## Before submitting
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Signed-off-by: Emmanuel Ferdman <emmanuelferdman@gmail.com>
2024-06-04 14:26:35 +02:00
Nicholas Broad 08b3eac2ce
single char ` addition for docs (#1989)
# What does this PR do?

I think this will fix the docs from being weirdly formatted. All the
sections after MAX_TOP_N_TOKENS don't show up in the bar on the right
(https://huggingface.co/docs/text-generation-inference/basic_tutorials/launcher#maxtopntokens)


## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the
other checks if that's the case).
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      Pull Request section?
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## Who can review?

@merveenoyan

---------

Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
2024-05-31 18:42:14 +02:00
fxmarty 659bd67fec
Update documentation version to 2.0.4 (#1980)
As per title

cc @Narsil
2024-05-31 16:03:24 +02:00
Daniël de Kok 36dd16017c Add support for exl2 quantization
Mostly straightforward, changes to existing code:

* Wrap quantizer parameters in a small wrapper to avoid passing
  around untyped tuples and needing to repack them as a dict.
* Move scratch space computation to warmup, because we need the
  maximum input sequence length to avoid allocating huge
  scratch buffers that OOM.
2024-05-30 11:28:05 +02:00
Nicolas Patry e76b9824ae
Upgrade to Axum 0.7 and Hyper 1.0 (Breaking change: disabled ngrok tunneling). (#1959)
- Axum upgraded to hyper 1.0 and most of the ecosystem switched so it's
our time now
- [ngrok-rust](https://github.com/ngrok/ngrok-rust/pull/137/files)
hasn't yet, and hasn't for several months now, so let's disabled the
feature for the time being.


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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).
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      Pull Request section?
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2024-05-28 14:52:17 +02:00
Moritz Laurer b7ffa287f2
fix small typo and broken link (#1958)
# What does this PR do?

Fix a typo; fix a broken link; add one sentence in the guidance docs to
make the word "grammar" less abstract


## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the
other checks if that's the case).
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      Pull Request section?
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@drbh
2024-05-27 11:31:06 -04:00
Thomas Schillaci 629047cb82
Add completion route to client and add stop parameter where it's missing (#1869)
# What does this PR do?

- Add the stop parameter to the completion route
- Add the completion method to the python client
- Add the stop parameter to the python client's chat method


## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the
other checks if that's the case).
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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
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      to it if that's the case.
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- [ ] Did you write any new necessary tests?


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@Narsil

---------

Co-authored-by: Thomas SCHILLACI <tschilla@px101.prod.exalead.com>
Co-authored-by: Thomas Schillaci <thomas.schillaci@3ds.com>
2024-05-23 09:37:09 -04:00
drbh a103e3e9e2
feat: add train medusa head tutorial (#1934)
This PR adds a tutorial to self distill and train medusa heads for a
specific model

---------

Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
2024-05-23 11:34:18 +02:00
Nicolas Patry 2f243a1a15
Creating doc automatically for supported models. (#1929)
# 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).
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      Pull Request section?
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      to it if that's the case.
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2024-05-22 16:22:57 +02:00
Junlin Zhou 904ff36917
docs: Fix grafana dashboard url (#1925)
# What does this PR do?

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<!-- Remove if not applicable -->

Fixes an incorrect url in monitoring doc.

## Before submitting
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other checks if that's the case).
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      Pull Request section?
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2024-05-21 13:12:14 -04:00
fxmarty 293b8125e7
ROCm: make CK FA2 default instead of Triton (#1924)
As per title.

Triton autotune overhead is prohibitive, as it needs to be done for each
different prompt length.
2024-05-20 08:44:48 +08:00
fxmarty b5f1c9de06
Fix TunableOp bug (#1920)
cc @Narsil
2024-05-17 18:21:51 +02:00
fxmarty c4cf8b49d1
Add TGI monitoring guide through Grafana and Prometheus (#1908)
As per title. It is very useful.
2024-05-17 10:34:44 -04:00
fxmarty 232e8d5227
MI300 compatibility (#1764)
Adds support for AMD Instinct MI300 in TGI.

Most changes are:
* Support PyTorch TunableOp to pick the GEMM/GEMV kernels for decoding
https://github.com/pytorch/pytorch/tree/main/aten/src/ATen/cuda/tunable.
TunableOp is disabled by default, and can be enabled with
`PYTORCH_TUNABLEOP_ENABLED=1`.
* Update ROCm dockerfile to PyTorch 2.3 (actually patched with changes
from https://github.com/pytorch/pytorch/pull/124362)
* Support SILU & Linear custom kernels contributed by AMD
* Update vLLM paged attention to https://github.com/fxmarty/rocm-vllm/,
branching out of a much more recent commit
3489ce7936
* Support FA2 Triton kernel as recommended by AMD. Can be used by
specifying `ROCM_USE_FLASH_ATTN_V2_TRITON=1`.
* Update dockerfile to ROCm 6.1

By default, TunableOp tuning results are saved in `/data` (e.g.
`/data/tunableop_meta-llama-Llama-2-70b-chat-hf_tp1_rank0.csv`) in order
to avoid to have to rerun the tuning at each `docker run`.

Example:
```
Validator,PT_VERSION,2.3.0
Validator,ROCM_VERSION,6.1.0.0-82-5fabb4c
Validator,HIPBLASLT_VERSION,0.7.0-1549b021
Validator,GCN_ARCH_NAME,gfx942:sramecc+:xnack-
Validator,ROCBLAS_VERSION,4.1.0-cefa4a9b-dirty
GemmTunableOp_Half_TN,tn_8192_7_28672,Gemm_Rocblas_45475,0.132098
GemmTunableOp_Half_TN,tn_10240_4_8192,Gemm_Rocblas_45546,0.0484431
GemmTunableOp_Half_TN,tn_32000_6_8192,Default,0.149546
GemmTunableOp_Half_TN,tn_32000_3_8192,Gemm_Rocblas_45520,0.147119
GemmTunableOp_Half_TN,tn_8192_3_28672,Gemm_Rocblas_45475,0.132645
GemmTunableOp_Half_TN,tn_10240_3_8192,Gemm_Rocblas_45546,0.0482971
GemmTunableOp_Half_TN,tn_57344_5_8192,Gemm_Rocblas_45520,0.255694
GemmTunableOp_Half_TN,tn_10240_7_8192,Gemm_Rocblas_45517,0.0482522
GemmTunableOp_Half_TN,tn_8192_3_8192,Gemm_Rocblas_45546,0.0444671
GemmTunableOp_Half_TN,tn_8192_5_8192,Gemm_Rocblas_45546,0.0445834
GemmTunableOp_Half_TN,tn_57344_7_8192,Gemm_Rocblas_45520,0.25622
GemmTunableOp_Half_TN,tn_8192_2_28672,Gemm_Rocblas_45475,0.132122
GemmTunableOp_Half_TN,tn_8192_4_8192,Gemm_Rocblas_45517,0.0453191
GemmTunableOp_Half_TN,tn_10240_5_8192,Gemm_Rocblas_45517,0.0482514
GemmTunableOp_Half_TN,tn_8192_5_28672,Gemm_Rocblas_45542,0.133914
GemmTunableOp_Half_TN,tn_8192_2_8192,Gemm_Rocblas_45517,0.0446516
GemmTunableOp_Half_TN,tn_8192_1_28672,Gemm_Hipblaslt_TN_10814,0.131953
GemmTunableOp_Half_TN,tn_10240_2_8192,Gemm_Rocblas_45546,0.0481043
GemmTunableOp_Half_TN,tn_32000_4_8192,Gemm_Rocblas_45520,0.147497
GemmTunableOp_Half_TN,tn_8192_6_28672,Gemm_Rocblas_45529,0.134895
GemmTunableOp_Half_TN,tn_57344_2_8192,Gemm_Rocblas_45520,0.254716
GemmTunableOp_Half_TN,tn_57344_4_8192,Gemm_Rocblas_45520,0.255731
GemmTunableOp_Half_TN,tn_10240_6_8192,Gemm_Rocblas_45517,0.0484816
GemmTunableOp_Half_TN,tn_57344_3_8192,Gemm_Rocblas_45520,0.254701
GemmTunableOp_Half_TN,tn_8192_4_28672,Gemm_Rocblas_45475,0.132159
GemmTunableOp_Half_TN,tn_32000_2_8192,Default,0.147524
GemmTunableOp_Half_TN,tn_32000_5_8192,Default,0.147074
GemmTunableOp_Half_TN,tn_8192_6_8192,Gemm_Rocblas_45546,0.0454045
GemmTunableOp_Half_TN,tn_57344_6_8192,Gemm_Rocblas_45520,0.255582
GemmTunableOp_Half_TN,tn_32000_7_8192,Default,0.146705
GemmTunableOp_Half_TN,tn_8192_7_8192,Gemm_Rocblas_45546,0.0445489
```

---------

Co-authored-by: Mohit Sharma <mohit21sharma.ms@gmail.com>
2024-05-17 15:30:47 +02:00
Daniël de Kok b5bc6e5c4e
Add GPT-2 with flash attention (#1889)
# What does this PR do?

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This change adds `FlashGPT2ForCausalLM` and wires it up. The model
itself is pretty straightforward, the main difference from other models
is that it uses trained position embeddings and that all weight matrices
are transposed compared to other models (due to the use of Conv1D in the
upstream model).


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2024-05-15 13:31:22 +02:00
Brandon Lockaby 92f1338b84
Correct 'using guidance' link (#1892)
Fix typo in link to 'using guidance' article
2024-05-14 14:23:39 -04:00
drbh 65539b743e
feat: prefer huggingface_hub in docs and show image api (#1844)
This PR prefers the `huggingface_hub` library, refactors the grammar
docs and adds the new image_url api to the vlm docs.
2024-05-02 16:56:24 +02:00
drbh 6073ece4fc
fix: split docs and start conceptual page (#1836)
This PR improves the guidance docs and adds a section that explains how
grammars are applied on a technical level
2024-05-01 09:03:25 +02:00
drbh b2c982750a
feat: add vlm docs and simple examples (#1812)
This PR start to add documentation for visual language models
2024-04-30 12:14:39 +02:00
drbh f6615080b9
feat: add how it works section (#1773)
This PR adds a short "how it works" section to guidance and includes a
mention to the outlines library that enables grammars/tools


*and a small formatting change

---------

Co-authored-by: Mishig <mishig.davaadorj@coloradocollege.edu>
2024-04-30 11:45:49 +02:00
Nicolas Patry 007d5e54aa
Changing the waiting_served_ratio default (stack more aggressively by default). (#1820)
# What does this PR do?


This should enable more aggressive by default stacking, meaning better
throughput (in throughput constrained environements).

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2024-04-28 17:54:19 +02:00
dr3s eb08b9faef
Update guidance docs to reflect grammar support in API (#1775)
# What does this PR do?
Update guidance docs to reflect grammar support in API. The previous
wording was vague and made it sound like openai API supported the
grammar parameter.


https://github.com/huggingface/text-generation-inference/blob/main/router/src/server.rs#L654
confirms that support for grammar is TGI only at this time.

## Before submitting
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2024-04-25 13:11:26 -04:00
Nicolas Patry bfddfa5955
Idefics2. (#1756)
# What does this PR do?

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2024-04-23 23:04:44 +02:00
Moritz Laurer ed72e92126
fix typos in docs and add small clarifications (#1790)
# What does this PR do?

Fix some small typos in the docs; add minor clarifications; add guidance
to features on landing page

## Before submitting
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## Who can review?

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2024-04-22 12:15:48 -04:00
OlivierDehaene 2d0a7173d4 v2.0.1 2024-04-18 17:20:36 +02:00
Nicolas Patry f9ee2c41b9
Upgrading all versions. (#1759) 2024-04-18 17:17:40 +02:00
drbh 06c3d4b1ec
feat: accept list as prompt and use first string (#1702)
This PR allows the `CompletionRequest.prompt` to be sent as a string or
array of strings. When an array is sent the first value will be used if
it's a string; otherwise the according error will be thrown

Fixes:
https://github.com/huggingface/text-generation-inference/issues/1690
Similar to: https://github.com/vllm-project/vllm/pull/323/files
2024-04-17 10:41:12 +02:00
OlivierDehaene c38a7d7ddd
v2.0.0 (#1736) 2024-04-12 18:38:34 +02:00
Ikko Eltociear Ashimine 275caa04b1
Fix typo in guidance.md (#1735)
# What does this PR do?

compliation -> compilation


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2024-04-12 16:51:07 +02:00
Nicolas Patry 1b2670c823
Improve the defaults for the launcher (#1727)
# What does this PR do?

- Renamed `max_input_length` into `max_input_tokens` for consistency
(backward compatible change, will yell if both are set.)
- Will now use the config for `max_input_tokens` `max_total_token` and
`max_batch_total_tokens`.
- Capping the values to 16k in order to save VRAM on behalf of users
(overriddable by simply setting the values).

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2024-04-12 14:20:31 +02:00
Nicolas Patry 408dbc485c
Fp8 Support (#1726)
# What does this PR do?

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---------

Co-authored-by: Dong Shin <d0104.shin@gmail.com>
2024-04-12 08:13:30 +02:00
Nicolas Patry 842f6658e2 Revert "Easier defaults for models stemmed from configs."
This reverts commit b83aab9bb3.
2024-04-11 12:51:57 +00:00
Nicolas Patry b83aab9bb3 Easier defaults for models stemmed from configs. 2024-04-11 12:48:39 +00:00
Nicolas Patry 4634b00c2a
Adding Llava-Next (Llava 1.6) with full support. (#1709)
# What does this PR do?

- Changed all models to extract `embed_tokens` in order to enable llava
to separately call the embeddings and the core model layers.
- Added VlmCausalLM to inherit from FlashMistral in order to be
maximally supported. The only added logics sits on top and parses images
into pixel values, preallocates input_ids space for the image
embeddings, and passes them for the model.
- Added Clip for the vision tower.
- Didn't add flash for the vision tower since there's no padding anyway.
- Added heuristic (potentially incomplete) to calculate number of
features *before* calculating the clip patches (allows for easier logic
reuse of the LLM under the hood).


Still needs to be done:

- [x] Implement the image parsing in the controller side, to avoid
downloading n times per TP shard and also refusing requests too large
early and avoid issues where the truncation actually truncates the
image.
- [ ] Make sure it works with quantization properly.
- [x] Make sure it works with TP>1



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2024-04-09 21:32:00 +02:00
Nicolas Patry c7e570e59d
Pickle conversion now requires `--trust-remote-code`. (#1704)
# What does this PR do?

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2024-04-05 13:32:53 +02:00