class_docstr: A generator supports creating sequences for input into graph machine learning algorithms via the `flow` method.
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docstr: Returns the number of batch dimensions in returned tensors (_not_ the batch size itself).
  
  For instance, for full batch methods like GCN, the feature has shape ``1 × number of nodes ×
  feature size``, where the 1 is a "dummy" batch dimension and ``number of nodes`` is the real
  batch size (every node in the graph).
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code: def num_batch_dims(self):
      """
      Returns the number of batch dimensions in returned tensors (_not_ the batch size itself).
  
      For instance, for full batch methods like GCN, the feature has shape ``1 × number of nodes ×
      feature size``, where the 1 is a "dummy" batch dimension and ``number of nodes`` is the real
      batch size (every node in the graph).
      """
      ...
  
imports: import abc
label_desc: Use image node_id 1 for calling the Generator obj's underlying member method code with example usage: obj.num_batch_dims() without return types