class_docstr: Any module where forward() takes timestep embeddings as a second argument.
class_docstr_tok: ["Any","module","where","forward","(",")","takes","timestep","embeddings","as","a","second","argument","."]
docstr: Apply the module to `x` given `emb` timestep embeddings.
docstr_tok: ["Apply","the","module","to","`","x","`","given","`","emb","`","timestep","embeddings","."]
code: def forward(self, x, emb):
      """
      Apply the module to `x` given `emb` timestep embeddings.
      """
  
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 TimestepBlock obj's underlying member method code with example usage: obj.forward(x, emb) without return types