from .timesformer_config import TimesformerScrollprizeConfig
from transformers import PreTrainedModel
import torch
from timesformer_pytorch import TimeSformer

# from .configuration_resnet import ResnetConfig




class TimesformerScrollprizeModel(PreTrainedModel):
    config_class = TimesformerScrollprizeConfig

    def __init__(self, config):
        super().__init__(config)
        self.backbone=TimeSformer(
                dim = config.dim,
                image_size = config.window_size,
                patch_size = config.patch_size,
                num_frames = config.num_frames,
                num_classes = config.num_classes,
                channels=1,
                depth = config.depth,
                heads = config.n_heads,
                dim_head =  64,
                attn_dropout = 0.1,
                ff_dropout = 0.1
            )

    def forward(self, tensor):
        x = self.backbone(torch.permute(tensor, (0, 2, 1,3,4)))
        x=x.view(-1,1,4,4)
        return x