class_docstr: This Enum represents what does varying axis dimension mean.
  For example, does this dimension correspond to width, batch, time, etc.
  The "Dimension" and "Channel" kinds are the same and used to represent
  a general axis. "Any" axis will accept any axis kind fed to it.
class_docstr_tok: ["This","Enum","represents","what","does","varying","axis","dimension","mean",".","For","example",",","does","this","dimension","correspond","to","width",",","batch",",","time",",","etc",".","The","``","Dimension","''","and","``","Channel","''","kinds","are","the","same","and","used","to","represent","a","general","axis",".","``","Any","''","axis","will","accept","any","axis","kind","fed","to","it","."]
code: def __str__(self):
      return str(self.name).lower()
  
file_path: NeMo/nemo/core/neural_types/axes.py
imports: from enum import Enum
  from typing import Optional
label_desc: Use image node_id 2 for calling the AxisKind obj's underlying member method code with example usage: obj.__str__() and returns: str