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from transformers import PretrainedConfig
class MambaVisionConfig(PretrainedConfig):
model_type = "mambavision"
def __init__(
self,
depths=[3, 3, 10, 5],
num_heads=[4, 8, 16, 32],
window_size=[8, 8, 14, 7],
dim=196,
in_dim=64,
mlp_ratio=4,
drop_path_rate=0.3,
layer_scale=1e-5,
layer_scale_conv=None,
**kwargs,
):
self.depths = depths
self.num_heads = num_heads
self.window_size = window_size
self.dim = dim
self.in_dim = in_dim
self.mlp_ratio = mlp_ratio
self.drop_path_rate = drop_path_rate
self.layer_scale=layer_scale
self.layer_scale_conv=layer_scale_conv
super().__init__(**kwargs) |