code: def _unpatchify(self, x):
      N, T, H, W, p, u, t, h, w = self.patch_info
      x = x.reshape(shape=(N, t, h, w, u, p, p, 3))
      x = torch.einsum("nthwupqc->nctuhpwq", x)
      imgs = x.reshape(shape=(N, 3, T, H, W))
      return imgs
  
imports: import math
  from functools import partial
  import torch
  import torch.nn
  import torch.nn.functional
  from torch.nn.init import trunc_normal_
  import slowfast.utils.logging
  import slowfast.utils.misc
  from slowfast.models import head_helper
  from slowfast.models.attention import attention_pool
  from slowfast.models.utils import calc_mvit_feature_geometry
  from slowfast.models.video_model_builder import MViT
  from .None import head_helper, operators, resnet_helper, stem_helper
  from .build import MODEL_REGISTRY
label_desc: Use image node_id 6 for calling the MaskMViT obj's underlying member method code with example usage: obj._unpatchify(x) and returns: imgs