class_docstr: Categorical distribution with noise for MultiDiscrete action spaces.
class_docstr_tok: ["Categorical","distribution","with","noise","for","MultiDiscrete","action","spaces","."]
docstr: Returns:
      entropy: A float32 tensor with shape [BATCH_SIZE] of entropy of self policy distribution.
docstr_tok: ["Returns",":","entropy",":","A","float32","tensor","with","shape","[","BATCH_SIZE","]","of","entropy","of","self","policy","distribution","."]
code: def entropy(self):
      """
      Returns:
          entropy: A float32 tensor with shape [BATCH_SIZE] of entropy of self policy distribution.
      """
      return self.layers_add_n([p.entropy() for p in self.categoricals])
  
imports: import paddle
  import paddle.nn.functional
  import numpy
label_desc: Use image node_id 4 for calling the SoftMultiCategoricalDistribution obj's underlying member method code with example usage: obj.entropy() and returns: self