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[CI/Build] Update transformers to v4.55.2 (#23093)

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Signed-off-by: Isotr0py <mozf@mail2.sysu.edu.cn>
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Isotr0py 2025-08-20 01:06:17 +08:00 committed by GitHub
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commit d6a1a20973
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4 changed files with 12 additions and 11 deletions
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2
requirements/common.txt
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@ -7,7 +7,7 @@ requests >= 2.26.0
tqdm tqdm
blake3 blake3
py-cpuinfo py-cpuinfo
transformers >= 4.55.0 transformers >= 4.55.2
tokenizers >= 0.21.1 # Required for fast incremental detokenization. tokenizers >= 0.21.1 # Required for fast incremental detokenization.
protobuf # Required by LlamaTokenizer. protobuf # Required by LlamaTokenizer.
fastapi[standard] >= 0.115.0 # Required by FastAPI's form models in the OpenAI API server's audio transcriptions endpoint. fastapi[standard] >= 0.115.0 # Required by FastAPI's form models in the OpenAI API server's audio transcriptions endpoint.

2
requirements/test.in
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@ -34,7 +34,7 @@ opencv-python-headless >= 4.11.0 # required for video test
datamodel_code_generator # required for minicpm3 test datamodel_code_generator # required for minicpm3 test
lm-eval[api]==0.4.8 # required for model evaluation test lm-eval[api]==0.4.8 # required for model evaluation test
mteb[bm25s]>=1.38.11, <2 # required for mteb test mteb[bm25s]>=1.38.11, <2 # required for mteb test
transformers==4.55.0 transformers==4.55.2
tokenizers==0.21.1 tokenizers==0.21.1
schemathesis>=3.39.15 # Required for openai schema test. schemathesis>=3.39.15 # Required for openai schema test.
# quantization # quantization

2
requirements/test.txt
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@ -1139,7 +1139,7 @@ tqdm==4.66.6
# transformers # transformers
tqdm-multiprocess==0.0.11 tqdm-multiprocess==0.0.11
# via lm-eval # via lm-eval
transformers==4.55.0 transformers==4.55.2
# via # via
# -r requirements/test.in # -r requirements/test.in
# genai-perf # genai-perf

17
tests/models/multimodal/generation/test_mllama.py
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@ -5,6 +5,7 @@ from typing import Optional, overload
import pytest import pytest
import torch import torch
from packaging.version import Version
from transformers import AutoConfig, AutoModelForImageTextToText, AutoTokenizer from transformers import AutoConfig, AutoModelForImageTextToText, AutoTokenizer
from transformers import __version__ as TRANSFORMERS_VERSION from transformers import __version__ as TRANSFORMERS_VERSION
@ -287,8 +288,8 @@ def clear_cache():
@pytest.mark.parametrize("num_logprobs", [5]) @pytest.mark.parametrize("num_logprobs", [5])
@pytest.mark.parametrize("attn_backend", LIST_ENC_DEC_SUPPORTED_BACKENDS) @pytest.mark.parametrize("attn_backend", LIST_ENC_DEC_SUPPORTED_BACKENDS)
@pytest.mark.skipif( @pytest.mark.skipif(
TRANSFORMERS_VERSION == "4.55.0", Version(TRANSFORMERS_VERSION) <= Version("4.55.2"),
reason="Transformers v4.55.0 has a regression issue on mllama, " reason="Transformers v4.55 has a regression issue on mllama, "
"see: https://github.com/huggingface/transformers/pull/40083") "see: https://github.com/huggingface/transformers/pull/40083")
def test_models_single_leading_image(hf_runner, vllm_runner, image_assets, def test_models_single_leading_image(hf_runner, vllm_runner, image_assets,
model, sizes, dtype, max_tokens, model, sizes, dtype, max_tokens,
@ -319,8 +320,8 @@ def test_models_single_leading_image(hf_runner, vllm_runner, image_assets,
@pytest.mark.parametrize("num_logprobs", [5]) @pytest.mark.parametrize("num_logprobs", [5])
@pytest.mark.parametrize("attn_backend", LIST_ENC_DEC_SUPPORTED_BACKENDS) @pytest.mark.parametrize("attn_backend", LIST_ENC_DEC_SUPPORTED_BACKENDS)
@pytest.mark.skipif( @pytest.mark.skipif(
TRANSFORMERS_VERSION == "4.55.0", Version(TRANSFORMERS_VERSION) <= Version("4.55.2"),
reason="Transformers v4.55.0 has a regression issue on mllama, " reason="Transformers v4.55 has a regression issue on mllama, "
"see: https://github.com/huggingface/transformers/pull/40083") "see: https://github.com/huggingface/transformers/pull/40083")
def test_models_multi_leading_images(hf_runner, vllm_runner, image_assets, def test_models_multi_leading_images(hf_runner, vllm_runner, image_assets,
model, dtype, max_tokens, num_logprobs, model, dtype, max_tokens, num_logprobs,
@ -372,8 +373,8 @@ def test_models_multi_leading_images(hf_runner, vllm_runner, image_assets,
@pytest.mark.parametrize("num_logprobs", [5]) @pytest.mark.parametrize("num_logprobs", [5])
@pytest.mark.parametrize("attn_backend", LIST_ENC_DEC_SUPPORTED_BACKENDS) @pytest.mark.parametrize("attn_backend", LIST_ENC_DEC_SUPPORTED_BACKENDS)
@pytest.mark.skipif( @pytest.mark.skipif(
TRANSFORMERS_VERSION == "4.55.0", Version(TRANSFORMERS_VERSION) <= Version("4.55.2"),
reason="Transformers v4.55.0 has a regression issue on mllama, " reason="Transformers v4.55 has a regression issue on mllama, "
"see: https://github.com/huggingface/transformers/pull/40083") "see: https://github.com/huggingface/transformers/pull/40083")
def test_models_interleaved_images(hf_runner, vllm_runner, image_assets, model, def test_models_interleaved_images(hf_runner, vllm_runner, image_assets, model,
dtype, max_tokens, num_logprobs, dtype, max_tokens, num_logprobs,
@ -416,8 +417,8 @@ def test_models_interleaved_images(hf_runner, vllm_runner, image_assets, model,
@pytest.mark.parametrize("max_tokens", [64]) @pytest.mark.parametrize("max_tokens", [64])
@pytest.mark.parametrize("num_logprobs", [5]) @pytest.mark.parametrize("num_logprobs", [5])
@pytest.mark.skipif( @pytest.mark.skipif(
TRANSFORMERS_VERSION == "4.55.0", Version(TRANSFORMERS_VERSION) <= Version("4.55.2"),
reason="Transformers v4.55.0 has a regression issue on mllama, " reason="Transformers v4.55 has a regression issue on mllama, "
"see: https://github.com/huggingface/transformers/pull/40083") "see: https://github.com/huggingface/transformers/pull/40083")
def test_models_distributed( def test_models_distributed(
hf_runner, hf_runner,