| |
| from typing import Any |
|
|
| from transformers.configuration_utils import PretrainedConfig |
|
|
| __all__ = ["AIMv2Config"] |
|
|
|
|
| class AIMv2Config(PretrainedConfig): |
| """This is the configuration class to store the configuration of an [`AIMv2Model`]. |
| |
| Instantiating a configuration with the defaults will yield a similar configuration |
| to that of the [apple/aimv2-large-patch14-224](https://huggingface.co/apple/aimv2-large-patch14-224). |
| |
| Args: |
| hidden_size: Dimension of the hidden representations. |
| intermediate_size: Dimension of the SwiGLU representations. |
| num_hidden_layers: Number of hidden layers in the Transformer. |
| num_attention_heads: Number of attention heads for each attention layer |
| in the Transformer. |
| num_channels: Number of input channels. |
| image_size: Image size. |
| patch_size: Patch size. |
| rms_norm_eps: Epsilon value used for the RMS normalization layer. |
| attention_dropout: Dropout ratio for attention probabilities. |
| projection_dropout: Dropout ratio for the projection layer after the attention. |
| qkv_bias: Whether to add a bias to the queries, keys and values. |
| use_bias: Whether to add a bias in the feed-forward and projection layers. |
| kwargs: Keyword arguments for the [`PretrainedConfig`]. |
| """ |
|
|
| model_type: str = "aimv2" |
|
|
| def __init__( |
| self, |
| hidden_size: int = 1024, |
| intermediate_size: int = 2816, |
| num_hidden_layers: int = 24, |
| num_attention_heads: int = 8, |
| num_channels: int = 3, |
| image_size: int = 224, |
| patch_size: int = 14, |
| rms_norm_eps: float = 1e-5, |
| attention_dropout: float = 0.0, |
| projection_dropout: float = 0.0, |
| qkv_bias: bool = False, |
| use_bias: bool = False, |
| **kwargs: Any, |
| ): |
| 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.image_size = image_size |
| self.attention_dropout = attention_dropout |
| self.rms_norm_eps = rms_norm_eps |
|
|
| self.projection_dropout = projection_dropout |
| self.qkv_bias = qkv_bias |
| self.use_bias = use_bias |
|
|
