Commit Graph

829 Commits

Author SHA1 Message Date
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 967ced2ff4 Gemma GPTQ checks: skip logprob checks
This test fails somewhat regularly due to non-determinism and this
test is primarily to verify that we are loading a model which doesn't
have `float16` as the default dtype correctly.
2024-05-30 11:28:05 +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
drbh cbced7f0f9
feat: adjust attn weight loading logic (#1975)
This PR updates `load_attention` to prefer loading specific attention
based on the model type. Additionally there were two cases where
`TensorParallelColumnLinear.load_multi` was called and this reduces it
to a single path
2024-05-29 12:42:11 -04:00
Nicolas Patry 612bc483b6
Fixing the text part from tokenizer endpoint. (#1967)
# What does this PR do?

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2024-05-28 16:55:36 +02:00
Daniël de Kok f20463e4e3 Fix (non-container) pytest stdout buffering-related lock-up
Two issues:

1. When one of the stdout/stderr pipe buffers of a process started
   with `subprocess.Popen` is full, the process can get blocked until
   the buffer is drained.
2. Calling `Popen.wait` can deadlock when called before draining
   the pipe buffers (if they are full).

This avoids the issue altogether by giving the child process a
temporary file to write to.
2024-05-28 16:26:11 +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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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


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@drbh
2024-05-27 11:31:06 -04:00
drbh 0732b9d2f0
Processor config chat template (#1954)
This PR loads the `processor_config` similar to the `tokenizer_config`
and uses the processor_config's chat_template if the tokenizer_config
does not include one. These changes enable chat with idefics2
2024-05-27 16:03:16 +02:00
Daniël de Kok a401c83c35
Fix GPTQ for models which do not have float16 at the default dtype (simpler) (#1953)
# What does this PR do?

Fix GPTQ for models which do not have float16 at the default dtype

Before this change GPTQ models would not work if the model's default
data type is not `float16`. For example, Gemma GPTQ models would fail
because the default dtype of Gemma is `bfloat16`. There are two issues:

If the default `dtype` is not `float16`, the quantizer's `float16`
parameters get converted to that dtype. The kernels cannot deal
with non-`float16` types. The same applies to inputs of quantized ops.

This is resolved by setting the dtype of gptq/awq-quantized models to
`float16`.

Simpler version of #1951.

**Draft:** just testing...

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2024-05-27 14:41:28 +02:00
Daniël de Kok 9231098f3a Fix (flash) Gemma prefix and enable tests 2024-05-27 09:58:06 +02:00
Nicolas Patry d32e33bd48
Fix seeded output. (#1949)
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2024-05-24 15:36:13 +02:00
Nicolas Patry cff472ba2b
Fixing codellama loads by using purely `AutoTokenizer`. (#1947)
- The need for the slow tokenizer default stems from back
  when llama 1 was introduced and all the flags where not
  supported in `tokenizers`.

- Fixes #1891


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2024-05-24 12:40:39 +02:00
Nicolas Patry 954653466d
Improving the logging system. (#1938)
- Added a debug log for speculated ids (helps seeing in logs quality of
  a speculator).
- Remove newlines from child process logs when re-emitting in non JSON
  mode.
- Made standard level be closer to what's expected (only our binaries
  level).
- Propagate that level correctly to the shard (was forced into INFO).


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2024-05-23 15:40:40 +02:00
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


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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
Nicolas Patry f4a073ae6d
Fixing some legacy behavior (big swapout of serverless on legacy stuff). (#1937)
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---------

Co-authored-by: Daniël de Kok <me@github.danieldk.eu>
2024-05-23 14:39:38 +02:00
Wang, Yi f41d644a90
reenable xpu for tgi (#1939)
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Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>
2024-05-23 14:11:08 +02:00
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
drbh efb73fcb59
fix: use path inside of speculator config (#1935)
This PR access the path on the speculator similar to
`MLPSpeculatorHead.load` and `MedusaHeadV1.load`


these changes resolves this error locally when loading a `MedusaHeadV2`
```
TypeError: expected str, bytes or os.PathLike object, not dict
```
2024-05-22 20:46:29 +02:00
Nicolas Patry 2f243a1a15
Creating doc automatically for supported models. (#1929)
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2024-05-22 16:22:57 +02:00
drbh fc0eaffc81
feat: include token in client test like server tests (#1932)
This PR simply includes the HF token in the client tests similar to how
it's included in the server tests. This helps avoid CI failure due to
rate limiting
2024-05-22 09:58:26 +02:00
Junlin Zhou 904ff36917
docs: Fix grafana dashboard url (#1925)
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Fixes an incorrect url in monitoring doc.

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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
Nicolas Patry f871f114ca
Fixing the download strategy for ibm-fms (#1917)
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2024-05-18 13:31:24 +02:00
fxmarty 5dad0c0b29
Fix TGI issues with ROCm (#1921)
Not all models were tested in
https://github.com/huggingface/text-generation-inference/pull/1764.

Fixing some more issues (notably starcoder2) here, the full CI will come
shortly once we split `build.yml` in two
2024-05-18 01:50:52 +08:00
fxmarty b5f1c9de06
Fix TunableOp bug (#1920)
cc @Narsil
2024-05-17 18:21:51 +02:00
fxmarty 422bf1f986
Update grafana template (#1918)
As per title, there was a mistake

credit to @Narsil 

updated
https://huggingface.co/docs/text-generation-inference/basic_tutorials/monitoring
as well

Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
2024-05-17 17:37:23 +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
Nicolas Patry a60fa8406a
Removing some unused code. (#1915)
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2024-05-17 11:35:49 +02:00
Nicolas Patry 3b5d93e68d
Fixing signals. (#1910)
Taking the signal handles later, so during loads,
regular signal handling is done, we only need to handle SIGINT and
SIGTERM during real loads to get more graceful shutdowns when queries
are in flight.

Fixes #1842 


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2024-05-16 15:40:10 -04:00
Nicolas Patry b3dd3902e7
Types. (#1909)
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2024-05-16 17:21:00 +02:00
Nicolas Patry f5d43414c2
Fixing types. (#1906)
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2024-05-16 10:59:05 -04:00
phangiabao98 d8402eaf67
OpenAI function calling compatible support (#1888)
# What does this PR do?

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Fixes # (issue)
https://github.com/huggingface/text-generation-inference/issues/1887

## Before submitting
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other checks if that's the case).
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      Pull Request section?
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---------

Co-authored-by: Bao Phan <baopg@inter-k.com>
2024-05-16 10:17:00 +02:00
drbh 40213c957f
Pali gemma modeling (#1895)
This PR adds paligemma modeling code

Blog post: https://huggingface.co/blog/paligemma
Transformers PR: https://github.com/huggingface/transformers/pull/30814

install the latest changes and run with
```bash
# get the weights
# text-generation-server download-weights gv-hf/PaliGemma-base-224px-hf

# run TGI
text-generation-launcher --model-id gv-hf/PaliGemma-base-224px-hf
```


basic example sending various requests
```python
from huggingface_hub import InferenceClient

client = InferenceClient("http://127.0.0.1:3000")


images = [
    "https://huggingface.co/datasets/hf-internal-testing/fixtures-captioning/resolve/main/cow_beach_1.png",
    "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/rabbit.png",
]

prompts = [
    "What animal is in this image?",
    "Name three colors in this image.",
    "What are 10 colors in this image?",
    "Where is the cow standing?",
    "answer en Where is the cow standing?",
    "Is there a bird in the image?",
    "Is ther a cow in the image?",
    "Is there a rabbit in the image?",
    "how many birds are in the image?",
    "how many rabbits are in the image?",
]

for img in images:
    print(f"\nImage: {img.split('/')[-1]}")
    for prompt in prompts:
        inputs = f"![]({img}){prompt}\n"
        json_data = {
            "inputs": inputs,
            "parameters": {
                "max_new_tokens": 30,
                "do_sample": False,
            },
        }
        generated_output = client.text_generation(prompt, max_new_tokens=30, stream=False)
        print([f"{prompt}\n{generated_output}"])

```

---------

Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
2024-05-16 06:58:47 +02:00
Dhruv Srikanth 6c715f8183
[Bug Fix] Update torch import reference in bnb quantization (#1902)
# What does this PR do?

Fixes `Import Error` occurring from mismatch of usage between
torch.nn.Module and nn.Module.
2024-05-15 21:08:32 +02:00
drbh a69ef52cf6
feat: add deprecation warning to clients (#1855)
This PR adds a deprecation warning to the clients and points users to
the https://github.com/huggingface/huggingface_hub
2024-05-15 15:40:07 +02:00
Nicolas Patry a70b087e71
Removing accepted ids in the regular info logs, downgrade to debug. (#1898)
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2024-05-15 13:56:07 +02:00
Daniël de Kok b5bc6e5c4e
Add GPT-2 with flash attention (#1889)
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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
Nicolas Patry 33bc7212af
Fixing truncation. (#1890)
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2024-05-14 18:15:56 +02:00
Nicolas Patry e3d765645a
MLPSpeculator. (#1865)
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---------

Co-authored-by: Joshua Rosenkranz <joshua.rosenkranz@gmail.com>
2024-05-14 12:33:18 +02:00
Nilabhra Roy Chowdhury 3136f27f36
Add: Support for the Falcon2 11B architecture (#1886)
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Add's support for the Falcon2 11B model architecture.


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Signed-off-by: Raphael Glon <oOraph@users.noreply.github.com>
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>
Co-authored-by: OlivierDehaene <olivier@huggingface.co>
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Co-authored-by: Dong Shin <d0104.shin@gmail.com>
Co-authored-by: Christof Weickhardt <christof@weickhardt.ch>
Co-authored-by: Ikko Eltociear Ashimine <eltociear@gmail.com>
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Co-authored-by: martini <martin.iglesiasgoyanes@adyen.com>
2024-05-14 10:06:02 +02:00
Nicolas Patry d348d2b28f
Granite support? (#1882)
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2024-05-13 13:46:29 +02:00
Nicolas Patry fd89d9dfae
Refactor layers. (#1866)
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2024-05-13 12:44:30 +02:00
Wang, Yi 59b3ffea14
update xpu docker image and use public ipex whel (#1860)
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Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>
2024-05-06 16:05:43 +02:00
Nicolas Patry ac7076b64d
Upgrading to rust 1.78. (#1851)
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2024-05-06 13:48:11 +02:00
Lucain bb2b2959a2
Add router name to /info endpoint (#1854)
Add `router` key in `/info` endpoint and set it to
`env!("CARGO_PKG_NAME")` => so always set to `"text-generation-router"`
in TGI. Happy to change the naming if you think of a better one
(framework? package_name?)

The goal is to use this information in `InferenceClient` to know the
model is served with TGI. At the moment we can use
https://api-inference.huggingface.co/models/mistralai/Mistral-7B-Instruct-v0.2/info
to infer it is TGI-served because it returns information but having a
proper key would be better.


For context, a transformers-served model is only outputting `{"ok":
"ok"}` (see
[here](https://api-inference.huggingface.co/models/microsoft/DialoGPT-large/info)).
2024-05-03 10:39:04 -04:00
Nicolas Patry a25737139d
Updating Phi3 (long context). (#1849)
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2024-05-02 19:07:10 +02:00
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