| import os | |
| from typing import Union | |
| from transformers.configuration_utils import PretrainedConfig | |
| from transformers.utils import logging | |
| logger = logging.get_logger(__name__) | |
| class Siglip2VisionConfig(PretrainedConfig): | |
| model_type = "siglip2_navit_rope_model" | |
| base_config_key = "vision_config" | |
| def __init__( | |
| self, | |
| hidden_size=768, | |
| intermediate_size=3072, | |
| num_hidden_layers=12, | |
| num_attention_heads=12, | |
| num_channels=3, | |
| patch_size=16, | |
| hidden_act="gelu_pytorch_tanh", | |
| layer_norm_eps=1e-6, | |
| preserve_original_pe=True, | |
| disable_rope=False, | |
| num_patches=1369, | |
| rope_theta=10000.0, | |
| **kwargs, | |
| ): | |
| super().__init__(**kwargs) | |
| self.hidden_size = hidden_size | |
| self.intermediate_size = intermediate_size | |
| self.num_hidden_layers = num_hidden_layers | |
| self.num_attention_heads = num_attention_heads | |
| self.num_channels = num_channels | |
| self.patch_size = patch_size | |
| self.hidden_act = hidden_act | |
| self.layer_norm_eps = layer_norm_eps | |
| self.preserve_original_pe = preserve_original_pe | |
| self.disable_rope = disable_rope | |
| self.num_patches = num_patches | |
| self.rope_theta = rope_theta | |