code: def __init__(self, dim):
      super().__init__()
      self.dim = dim
  
imports: from abc import abstractmethod
  import math
  import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  from ldm.modules.diffusionmodules.util import checkpoint, conv_nd, linear, avg_pool_nd, zero_module, normalization, timestep_embedding
  from ldm.modules.attention import SpatialTransformer
  from ldm.util import exists
label_desc: Use image node_id 1 to create a new Timestep object from inherited base classes: nn with example: obj = Timestep(dim)