| 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) |