Commit Graph

44 Commits

Author SHA1 Message Date
yuanwu
d34ffc4fe9 Refile the hpu warmup
Signed-off-by: yuanwu <yuan.wu@intel.com>
2024-08-02 04:36:59 +00:00
yuanwu
588a014551 Enable llava-next
Signed-off-by: yuanwu <yuan.wu@intel.com>
2024-07-29 21:55:31 +00:00
Nicolas Patry
7cf21294d1 Fixing some legacy behavior (big swapout of serverless on legacy stuff). (#1937)
# What does this PR do?

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      Pull Request section?
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---------

Co-authored-by: Daniël de Kok <me@github.danieldk.eu>
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
125c8a05c3 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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2024-07-17 05:36:58 +00:00
Nicolas Patry
3f3a1a6a66 Better graceful shutdown. (#1827)
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      to it if that's the case.
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2024-06-10 14:00:26 +03:00
OlivierDehaene
b7299e1b7f fix: fix gpt-q with groupsize = -1 (#1358) 2024-04-19 15:05:50 +03:00
OlivierDehaene
5c9ef069ed feat: add more latency metrics in forward (#1346) 2024-04-19 13:41:34 +03:00
OlivierDehaene
79f268f95a chore: formatting 2024-04-18 16:26:00 +03:00
Nicolas Patry
a7f52f3812 Speculative (#1308) 2024-04-18 12:39:39 +00:00
Karol Damaszke
d957e32601
Add Habana copyright header (#122)
Co-authored-by: Karol Damaszke <kdamaszke@habana.ai>
2024-04-08 18:06:21 +02:00
Karol Damaszke
7342baa2eb
Add support for rope_scaling and remove is_optimized_for_gaudi (#112)
Co-authored-by: Karol Damaszke <kdamaszke@habana.ai>
2024-03-29 15:07:32 +01:00
Karol Damaszke
022ce1eaaf
Overhead reduction (#58) (#85)
Co-authored-by: mrs303 <54661797+mrs303@users.noreply.github.com>
2024-02-29 09:17:45 +01:00
Karol Damaszke
2122acc60f
Add warmup for all possible shapes for prefill #49 (#81) 2024-02-28 10:40:13 +01:00
Karol Damaszke
d31fb62576
Add more info to high-level profiler events (#46) (#79)
Co-authored-by: Karol Damaszke <kdamaszke@habana.ai>
2024-02-28 09:55:50 +01:00
Karol Damaszke
941d36f3fd
Enable deferred token generation (#44) (#75)
Co-authored-by: Krzysztof Laskowski <klaskowski@habana.ai>
2024-02-27 15:46:40 +01:00
jkaniecki
c3bd8ef445
Add Fp8 support (#42) (#71)
Co-authored-by: mrs303 <54661797+mrs303@users.noreply.github.com>
Co-authored-by: Adam Stachowicz <105052242+astachowiczhabana@users.noreply.github.com>
Co-authored-by: Grzegorz Morys <gmorys@habana.ai>
2024-02-23 11:52:28 +01:00
jkaniecki
f7ef414e38
Remove unused pad_token_id for filter (#35) (#64)
Co-authored-by: mswiniarsk <156412439+mswiniarsk@users.noreply.github.com>
2024-02-22 11:24:09 +01:00
jkaniecki
8f590759e3
Prefill optimization by allocating space only for the first output token (#34) (#62)
Co-authored-by: mswiniarsk <156412439+mswiniarsk@users.noreply.github.com>
Co-authored-by: Karol Damaszke <karol.damaszke@intel.com>
2024-02-22 04:55:43 +01:00
Karol Damaszke
2a7a967de3
Revert prefill optimization and fix accuracy issue in shift operation (#29)
Co-authored-by: Karol Damaszke <kdamaszke@habana.ai>
Co-authored-by: madamczykhabana <110973826+madamczykhabana@users.noreply.github.com>
Co-authored-by: jkaniecki <153085639+jkaniecki@users.noreply.github.com>
2024-01-23 15:19:07 +01:00
Karol Damaszke
60f63262db
Prefill optimization by allocating space only for the first token (#17) 2024-01-19 15:18:35 +01:00
Krzysztof Laskowski
c459c86f88
High-level server profiler (#13) 2024-01-16 09:57:29 +01:00
Karol Damaszke
6436ae86a1
Fix for continuous batching (#1) 2023-12-11 09:24:09 +01:00
regisss
cc744ba426 Add changes from Optimum Habana's TGI folder 2023-12-05 11:12:16 +01:00
OlivierDehaene
47954b81e9
feat: format code (#1070) 2023-09-27 12:22:09 +02:00
Nicolas Patry
bce5e22444
Adding Idefics multi modal model. (#842)
Co-Authored-By: Victor Sanh <victorsanh@gmail.com>


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---------

Co-authored-by: Victor Sanh <victorsanh@gmail.com>
2023-08-17 14:38:49 +02:00
OlivierDehaene
8bd0adb135
fix(server): fix quantization python requirements (#708) 2023-07-27 12:28:10 +02:00
OlivierDehaene
37df6df38e
fix(server): fix exllama buffers (#689)
Close #683
2023-07-24 14:25:43 +02:00
OlivierDehaene
73a4d65d26
feat: add cuda memory fraction (#659)
Close #673
2023-07-24 11:43:58 +02:00
Nicolas Patry
d5b5bc750f
feat(server): Add exllama GPTQ CUDA kernel support #553 (#666)
Just trying to get the integration tests to pass.


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      to it if that's the case.
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---------

Co-authored-by: Felix Marty <9808326+fxmarty@users.noreply.github.com>
2023-07-21 10:59:00 +02:00
OlivierDehaene
fe80f5360c
feat(server): auto max_batch_total_tokens for flash att models (#630) 2023-07-19 09:31:25 +02:00
OlivierDehaene
f2f0289fb9 feat(server): empty cache on errors 2023-07-12 17:06:19 +02:00
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
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
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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Fixes # (issue)


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Here are the
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2023-05-12 14:46:41 +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
OlivierDehaene
343437c7b5
feat(router): add device and dtype info (#215) 2023-04-21 15:36:29 +02:00
OlivierDehaene
709d8936f6
feat(router): drop requests when client closes the channel (#202) 2023-04-20 11:07:40 +02:00
OlivierDehaene
f000068944
feat(server): clear cache on error (#143) 2023-03-28 11:29:35 +02:00
OlivierDehaene
3fef90d50f
feat(clients): Python client (#103) 2023-03-07 18:52:22 +01:00