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e361922 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 | # Copyright 2024 Bytedance Ltd. and/or its affiliates
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from transformers.modeling_utils import ALL_ATTENTION_FUNCTIONS
from ..utils.py_functional import is_transformers_version_greater_than
from .transformers.flash_attention_utils import flash_attention_forward
from .transformers.qwen2_vl import (
qwen2_vl_attn_forward,
qwen2_vl_base_forward_new,
qwen2_vl_forward_new,
qwen2_vl_forward_old,
)
def apply_ulysses_patch(model_type: str) -> None:
if model_type in ("llama", "gemma", "gemma2", "mistral", "qwen2", "qwen3", "qwen3_moe"):
ALL_ATTENTION_FUNCTIONS["flash_attention_2"] = flash_attention_forward
elif model_type in ("qwen2_vl", "qwen2_5_vl"):
if is_transformers_version_greater_than("4.53.0"):
from transformers.models.qwen2_5_vl.modeling_qwen2_5_vl import Qwen2_5_VLAttention
from transformers.models.qwen2_vl.modeling_qwen2_vl import Qwen2VLAttention
Qwen2VLAttention.forward = qwen2_vl_attn_forward
Qwen2_5_VLAttention.forward = qwen2_vl_attn_forward
raise NotImplementedError("Transformers 4.53.* is not compatible with Qwen2-VL models.")
else:
from transformers.models.qwen2_5_vl.modeling_qwen2_5_vl import Qwen2_5_VLFlashAttention2
from transformers.models.qwen2_vl.modeling_qwen2_vl import Qwen2VLFlashAttention2
Qwen2VLFlashAttention2.forward = qwen2_vl_attn_forward
Qwen2_5_VLFlashAttention2.forward = qwen2_vl_attn_forward
if is_transformers_version_greater_than("4.52.0"):
from transformers.models.qwen2_5_vl.modeling_qwen2_5_vl import (
Qwen2_5_VLForConditionalGeneration,
Qwen2_5_VLModel,
)
from transformers.models.qwen2_vl.modeling_qwen2_vl import Qwen2VLForConditionalGeneration, Qwen2VLModel
Qwen2VLModel.forward = qwen2_vl_base_forward_new
Qwen2_5_VLModel.forward = qwen2_vl_base_forward_new
Qwen2VLForConditionalGeneration.forward = qwen2_vl_forward_new
Qwen2_5_VLForConditionalGeneration.forward = qwen2_vl_forward_new
else:
from transformers.models.qwen2_5_vl.modeling_qwen2_5_vl import Qwen2_5_VLForConditionalGeneration
from transformers.models.qwen2_vl.modeling_qwen2_vl import Qwen2VLForConditionalGeneration
Qwen2VLForConditionalGeneration.forward = qwen2_vl_forward_old
Qwen2_5_VLForConditionalGeneration.forward = qwen2_vl_forward_old
else:
raise NotImplementedError(f"Model architecture {model_type} is not supported yet.")
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