| from transformers import PretrainedConfig | |
| from typing import List | |
| class RaDialogConfig(PretrainedConfig): | |
| model_type = "resnet" | |
| def __init__( | |
| self, | |
| **kwargs, | |
| ): | |
| if block_type not in ["basic", "bottleneck"]: | |
| raise ValueError(f"`block_type` must be 'basic' or bottleneck', got {block_type}.") | |
| if stem_type not in ["", "deep", "deep-tiered"]: | |
| raise ValueError(f"`stem_type` must be '', 'deep' or 'deep-tiered', got {stem_type}.") | |
| self.block_type = block_type | |
| self.layers = layers | |
| self.num_classes = num_classes | |
| self.input_channels = input_channels | |
| self.cardinality = cardinality | |
| self.base_width = base_width | |
| self.stem_width = stem_width | |
| self.stem_type = stem_type | |
| self.avg_down = avg_down | |
| super().__init__(**kwargs) |