class_docstr: Adds the same image multiple times to the batch K times so that the batch.
  Size is now N*K. Use the simclr_collator to convert into batches.
  
  This transform is useful when generating multiple copies of the same image,
  for example, when training contrastive methods.
code: def __call__(self, image):
      output = []
      for _ in range(self.num_times):
          output.append(image.copy())
      return output
  
file_path: vissl/vissl/data/ssl_transforms/img_replicate_pil.py
imports: import logging
  from typing import Any, Dict
  from classy_vision.dataset.transforms import register_transform
  from classy_vision.dataset.transforms.classy_transform import ClassyTransform
label_desc: Use image node_id 2 for calling the ImgReplicatePil obj's underlying member method code with example usage: obj.__call__(image) and returns: output