mirror of
https://github.com/PaddlePaddle/FastDeploy.git
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kevin
d60daca4a8
* add mm do profile * updata code * update code * update code * update code * update test case * update code * update code * fix xpu bug * update code * add mm do profile * update test case * update code
56 lines
1.4 KiB
Python
56 lines
1.4 KiB
Python
"""
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# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""
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from abc import ABC, abstractmethod
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class MMBaseDataProcessor(ABC):
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def __init__(
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self,
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**kwargs,
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) -> None:
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"""
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Initialize the mm data processor.
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"""
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@staticmethod
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@abstractmethod
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def mm_num_tokens(grid_thw: list) -> int:
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"""
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Calculate the number of tokens in the multimodal input.
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"""
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raise NotImplementedError
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def get_max_image_tokens(self, *args, **kwargs) -> int:
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"""
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Get the maximum number of image tokens.
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"""
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return 0
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def get_max_video_tokens(self, *args, **kwargs) -> int:
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"""
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Get the maximum number of video tokens.
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"""
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return 0
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def get_max_audio_tokens(self, *args, **kwargs) -> int:
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"""
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Get the maximum number of audio tokens.
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"""
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return 0
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