"""GR-Lite model configuration."""

from transformers import PretrainedConfig


class GRLiteConfig(PretrainedConfig):
    model_type = "gr_lite"

    def __init__(
        self,
        hidden_size=1024,
        num_hidden_layers=24,
        num_attention_heads=16,
        intermediate_size=4096,
        patch_size=16,
        image_size=336,
        num_channels=3,
        num_register_tokens=4,
        layer_norm_eps=1e-6,
        qkv_bias=True,
        k_bias=False,
        **kwargs,
    ):
        super().__init__(**kwargs)
        self.hidden_size = hidden_size
        self.num_hidden_layers = num_hidden_layers
        self.num_attention_heads = num_attention_heads
        self.intermediate_size = intermediate_size
        self.patch_size = patch_size
        self.image_size = image_size
        self.num_channels = num_channels
        self.num_register_tokens = num_register_tokens
        self.layer_norm_eps = layer_norm_eps
        self.qkv_bias = qkv_bias
        self.k_bias = k_bias