class_docstr: Calculates the standard triplet loss between anchor, positive and negative
  examples in a triplet based on chebyshev distance.
class_docstr_tok: ["Calculates","the","standard","triplet","loss","between","anchor",",","positive","and","negative","examples","in","a","triplet","based","on","chebyshev","distance","."]
code: def __init__(self, margin=1, name=None):
      self.margin = margin
      name = name or self.__class__.__name__
      self.__name__ = name
  
imports: import functools
  from tensorflow.keras import backend
  import tensorflow
  from tensorflow import keras
  import numpy
  from .distances import euclidean_distance, manhattan_distance, chebyshev_distance, cosine_distance
label_desc: Use image node_id 1 to create a new ChebyshevTripletLoss object  with example: obj = ChebyshevTripletLoss(margin, name)