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# Copyright (c) OpenMMLab. All rights reserved.
from transformers import PretrainedConfig
class DownsamplerConfig(PretrainedConfig):
model_type = 'downsampler'
_auto_class = 'AutoConfig'
def __init__(
self,
kernel_size=1,
stride=1,
visual_hidden_size=4096,
llm_hidden_size=4096,
depth=2,
hidden_act='gelu',
bias=False,
**kwargs,
):
self.visual_hidden_size = visual_hidden_size
self.llm_hidden_size = llm_hidden_size
self.depth = depth
self.hidden_act = hidden_act
self.bias = bias
self.kernel_size = kernel_size
self.stride = stride
super().__init__(**kwargs)
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