class_docstr: A sequential module that passes timestep embeddings to the children that
  support it as an extra input.
class_docstr_tok: ["A","sequential","module","that","passes","timestep","embeddings","to","the","children","that","support","it","as","an","extra","input","."]
code: def forward(self, x, emb):
      for layer in self:
          if isinstance(layer, TimestepBlock):
              x = layer(x, emb)
          else:
              x = layer(x)
      return x
  
imports: import math
  from abc import abstractmethod
  import numpy
  import paddle
  import paddle.nn
  import paddle.nn.functional
  from .nn import avg_pool_nd
  from .nn import checkpoint
  from .nn import conv_nd
  from .nn import linear
  from .nn import normalization
  from .nn import SiLU
  from .nn import timestep_embedding
  from .nn import zero_module
label_desc: Use image node_id 1 for calling the TimestepEmbedSequential obj's underlying member method code with example usage: obj.forward(x, emb) and returns: x