class_docstr: Contrastive Model, currently mainly focused on memory bank and CSC.
class_docstr_tok: ["Contrastive","Model",",","currently","mainly","focused","on","memory","bank","and","CSC","."]
code: def batch_clips(self, clips):
      clips_batched = [None] * len(clips[0])
      for i, clip in enumerate(clips):
          for j, view in enumerate(clip):
              if i == 0:
                  clips_batched[j] = view
              else:
                  clips_batched[j] = torch.cat(
                      [clips_batched[j], view], dim=0
                  )
              del view
      return clips_batched
  
imports: import math
  import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  import slowfast.models.losses
  import slowfast.utils.distributed
  import slowfast.utils.logging
  from slowfast.models.video_model_builder import X3D, MViT, ResNet, SlowFast
  from .build import MODEL_REGISTRY
label_desc: Use image node_id 11 for calling the ContrastiveModel obj's underlying member method code with example usage: obj.batch_clips(clips) and returns: clips_batched