class_docstr: Implementation of SimCLR used by the command-line interface.
  
  Provides backwards compatability with old checkpoints.
code: def __init__(
      self, backbone: nn.Module, num_ftrs: int = 32, out_dim: int = 128
  ):
      super(_SimCLR, self).__init__()
  
      self.backbone = backbone
      self.projection_head = SimCLRProjectionHead(
          num_ftrs, num_ftrs, out_dim, batch_norm=False
      )
  
file_path: lightly/lightly/cli/_cli_simclr.py
imports: import warnings
  import torch
  import torch.nn
  from lightly.models.modules import SimCLRProjectionHead
label_desc: Use image node_id 1 to create a new _SimCLR object from inherited base classes: nn with example: obj = _SimCLR(backbone, num_ftrs, out_dim)