Commit Graph

259 Commits

Author SHA1 Message Date
fxmarty
14ed7c7b4a 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
2024-07-17 05:36:58 +00:00
fxmarty
05600c55a5 Fix TunableOp bug (#1920)
cc @Narsil
2024-07-17 05:36:58 +00:00
fxmarty
166dc0b87d 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>
2024-07-17 05:36:58 +00:00
Nicolas Patry
398ad027c7 Removing some unused code. (#1915)
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2024-07-17 05:36:58 +00:00
drbh
62b2a8b67b 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>
2024-07-17 05:36:58 +00:00
Nicolas Patry
2573f3aed4 Removing accepted ids in the regular info logs, downgrade to debug. (#1898)
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2024-07-17 05:36:58 +00:00
Daniël de Kok
27a5d6b5f9 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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2024-07-17 05:36:58 +00:00
Nicolas Patry
95d15b4bbe MLPSpeculator. (#1865)
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---------

Co-authored-by: Joshua Rosenkranz <joshua.rosenkranz@gmail.com>
2024-07-17 05:36:58 +00:00
Nilabhra Roy Chowdhury
330aa87f3e Add: Support for the Falcon2 11B architecture (#1886)
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Add's support for the Falcon2 11B model architecture.

## Before submitting
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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>
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
Co-authored-by: oOraph <13552058+oOraph@users.noreply.github.com>
Co-authored-by: Raphael Glon <oOraph@users.noreply.github.com>
Co-authored-by: Julien Chaumond <julien@huggingface.co>
Co-authored-by: OlivierDehaene <23298448+OlivierDehaene@users.noreply.github.com>
Co-authored-by: abhishek thakur <1183441+abhishekkrthakur@users.noreply.github.com>
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>
Co-authored-by: drbh <david.richard.holtz@gmail.com>
Co-authored-by: Lucain <lucain@huggingface.co>
Co-authored-by: fxmarty <9808326+fxmarty@users.noreply.github.com>
Co-authored-by: Moritz Laurer <41862082+MoritzLaurer@users.noreply.github.com>
Co-authored-by: dr3s <dr3s@users.noreply.github.com>
Co-authored-by: Wang, Yi <yi.a.wang@intel.com>
Co-authored-by: Morgan Funtowicz <funtowiczmo@gmail.com>
Co-authored-by: Maziyar Panahi <maziyar.panahi@iscpif.fr>
Co-authored-by: Brandon Royal <2762697+brandonroyal@users.noreply.github.com>
Co-authored-by: Mishig <mishig.davaadorj@coloradocollege.edu>
Co-authored-by: Martin Iglesias Goyanes <martinigoyanes@hotmail.com>
Co-authored-by: martini <martin.iglesiasgoyanes@adyen.com>
2024-07-17 05:36:58 +00:00
Nicolas Patry
c395431999 Granite support? (#1882)
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2024-07-17 05:36:58 +00:00
Nicolas Patry
e5c4a219b3 Refactor layers. (#1866)
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2024-07-17 05:36:58 +00:00
Nicolas Patry
6310e2454c Remove misleading warning (not that important nowadays anyway). (#1848)
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2024-07-17 05:36:58 +00:00
Nicolas Patry
d9c668f8b2 Fix: "Fixing" double BOS for mistral too. (#1843)
# What does this PR do?

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2024-07-17 05:36:58 +00:00
Jacek Czaja
5df20f88ff
Fix to non-LLAMA models (#177)
Co-authored-by: Jacek Czaja <jczaja@habana.ai>
2024-07-04 13:42:24 +02:00
Jacek Czaja
c64b5b75e2
[TORCH COMPILE] Ignore HPU GRAPHS env var when eager mode is used (#165)
Co-authored-by: Jacek Czaja <jczaja@habana.ai>
2024-07-03 15:17:27 +02:00
Vidya Galli
ca1b2f4994
Updated kv cache for starcoder (#128) 2024-06-14 22:36:44 +02:00
Jacek Czaja
ef86232c94
[Torch.compile] Enable llama-2-7b (#157)
Co-authored-by: Jacek Czaja <jczaja@habana.ai>
2024-06-14 15:56:23 +02:00
Nicolas Patry
6ca39843b4 Small CI cleanup. (#1801)
# What does this PR do?

Just unifying some branches and making intentions clearer (no cuda graph
when 0 all the way in the launcher)

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2024-06-10 14:01:01 +03:00
Nicolas Patry
7641cda775 Dummy CI run. (#1817)
# What does this PR do?

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2024-06-10 13:57:59 +03:00
Nicolas Patry
a788888619 Fixing qwen2. (#1818)
# What does this PR do?

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2024-06-10 13:57:52 +03:00
Nicolas Patry
388af49916 Blunder (#1815)
# What does this PR do?

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2024-06-10 13:57:47 +03:00
Wang, Yi
62a83fd800 add intel xpu support for TGI (#1475)
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---------

Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>
Co-authored-by: Morgan Funtowicz <funtowiczmo@gmail.com>
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
2024-06-10 13:16:45 +03:00
Nicolas Patry
2ed6242816 Use the generation config. (#1808)
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2024-06-10 09:53:00 +03:00
Nicolas Patry
57b31f410d Idefics2. (#1756)
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2024-06-10 09:29:08 +03:00
Nicolas Patry
4f8ca6049e Phi3 support (#1797)
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2024-06-10 09:27:01 +03:00
fxmarty
5b162c7026 Make --cuda-graphs work as expected (bis) (#1768)
This was ignored up to now, even with `--cuda-graphs 0`.

With this fix, `--cuda-graphs` is obeyed to.
2024-06-10 09:24:43 +03:00
Karol Damaszke
0e8f8726db
Warmup all decode buckets (#152)
Co-authored-by: Karol Damaszke <kdamaszke@habana.ai>
2024-05-29 22:46:55 +02:00
Karol Damaszke
7b879fd1d8
Pad next token chooser parameters with empty logits processors (#151)
Co-authored-by: Karol Damaszke <kdamaszke@habana.ai>
2024-05-29 22:43:56 +02:00
Jimin Ha
1023de8048
Add flash_attention argument options for Mistral (#145)
Co-authored-by: Karol Damaszke <karol.damaszke@intel.com>
Co-authored-by: Karol Damaszke <kdamaszke@habana.ai>
2024-05-27 20:00:42 +02:00
Karol Damaszke
32acdd55b4
Add grammar support (#140)
Co-authored-by: Karol Damaszke <kdamaszke@habana.ai>
2024-05-20 11:16:34 +02:00
Karol Damaszke
bad7fe720a
Fix warmup shapes for corner cases (#136)
Co-authored-by: Karol Damaszke <kdamaszke@habana.ai>
2024-05-06 11:35:27 +02:00
Karol Damaszke
600d033c04 Merge branch 'habana-main' into rebase_tgi_2.0 2024-04-29 09:44:45 +03:00
regisss
37aabf8571
Move call to adapt_transformers_to_gaudi earlier in the code (#133) 2024-04-26 11:07:27 +02:00
OlivierDehaene
c6a31b9e2b v2.0.0 (#1736) 2024-04-26 07:42:52 +00:00
OlivierDehaene
f6d5c2edf2 feat: medusa v2 (#1734) 2024-04-26 07:42:37 +00:00
OlivierDehaene
d1d0b3cbd6 hotfix: mixtral 2024-04-25 17:51:46 +03:00
OlivierDehaene
a1b65e5919 fix: fix CohereForAI/c4ai-command-r-plus (#1707)
@Narsil @drbh this will update flash attention v2 and vllm.
You will need to re-install them.
2024-04-25 17:51:35 +03:00
Nicolas Patry
2b2f4dee94 Adding Llava-Next (Llava 1.6) with full support. (#1709)
- 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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2024-04-25 14:30:55 +00:00
Nicolas Patry
fec3f8f21c Fixing cohere tokenizer. (#1697) 2024-04-25 15:10:46 +03:00
Nicolas Patry
29c316e5bb Add cuda graphs sizes and make it default. (#1703)
# What does this PR do?

```
text-generation-launcher --model-id XXX # Uses cuda graphs by default
text-generation-launcher --model-id XXX --cuda-graphs "1,2"  #Restrict the number of cuda graphs which saves VRAM
text-generation-launcher --model-id XXX --cuda-graphs "0"  # Disabling it entirely
```
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2024-04-25 15:08:54 +03:00
OlivierDehaene
dc1ab2001d feat: Add dbrx support (#1685)
Close #1679
2024-04-25 14:07:28 +03:00
OlivierDehaene
da4199ed97 feat: cohere (#1660) 2024-04-25 12:39:14 +03:00
SeongBeomLEE
097e72a672 fix: LlamaTokenizerFast to AutoTokenizer at flash_mistral.py (#1637)
# What does this PR do?

A few cases where you're using a mistral structure or mixtral structure
but not a llama tokenizer, why not make it to call the AutoTokenizer in
exception handling.

Similar PR #619

@Narsil
2024-04-25 12:35:44 +03:00
Nicolas Patry
6729783a19 Remove unecessary cuda graph. (#1664)
# What does this PR do?

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## Before submitting
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2024-04-25 12:35:24 +03:00
drbh
d888bc2828 feat: support force downcast after FastRMSNorm multiply for Gemma (#1658)
This PR adds `force_downcast_after` to `FastRMSNorm.forward` which is
used in the Gemma model. References
https://github.com/huggingface/transformers/pull/29402 and
https://github.com/huggingface/transformers/pull/29729

Setting `force_downcast_after=True` will perform the `hidden_states *
weight` multiplication in f32 and then downcast to half. This differs
slightly from the current implementation which first casts the
`hidden_states` to a half and then multiples.
2024-04-25 12:32:42 +03:00
Nicolas Patry
0390b28b85 Fix idefics default. (#1614)
# What does this PR do?

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2024-04-25 10:12:13 +03:00
drbh
e259625b8b fix: Handle concurrent grammar requests (#1610)
This PR fixes parallel grammar requests, currently grammar states are
not concatenated correctly when a new request is added to the batch and
this results in incorrect generation. This PR updates the `concatenate`
function to correctly include the previous states.

fixes: #1601
2024-04-25 10:11:40 +03:00
OlivierDehaene
666cdaaf16 feat: Qwen2 (#1608)
See #1584

---------

Co-authored-by: Cheng Kuan Yong Jason <jasoncky96@gmail.com>
2024-04-25 09:21:22 +03:00
OlivierDehaene
7c6a47bb7a feat: starcoder2 (#1605) 2024-04-25 09:18:55 +03:00
Nicolas Patry
21d52c9ca1 Revamp medusa implementation so that every model can benefit. (#1588)
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2024-04-25 09:13:03 +03:00