class_docstr: Applies a max operation over dimension `dim`
  
  # Arguments
  dim: max along this dimension
  num_input_dims: Optional. If in a batch model, set to the inputDims.
  return_value: Optional. Config whether return value or indices
  input_shape: A shape tuple, not including batch.
  
  >>> max = Max(dim=1, input_shape=(3, 5))
  creating: createZooKerasMax
class_docstr_tok: ["Applies","a","max","operation","over","dimension","`","dim","`","#","Arguments","dim",":","max","along","this","dimension","num_input_dims",":","Optional",".","If","in","a","batch","model",",","set","to","the","inputDims",".","return_value",":","Optional",".","Config","whether","return","value","or","indices","input_shape",":","A","shape","tuple",",","not","including","batch",".",">",">",">","max","=","Max","(","dim=1",",","input_shape=","(","3",",","5",")",")","creating",":","createZooKerasMax"]
code: def __init__(
      self,
      dim,
      num_input_dims=INTMIN,
      return_value=True,
      input_shape=None,
      **kwargs,
  ):
      super(Max, self).__init__(
          None,
          dim,
          num_input_dims,
          return_value,
          list(input_shape) if input_shape else None,
          **kwargs,
      )
  
imports: import sys
  from bigdl.util.common import INTMIN
  from ..engine.topology import ZooKerasLayer
label_desc: Use image node_id 1 to create a new Max object from inherited base classes: ZooKerasLayer with example: obj = Max(dim, num_input_dims, return_value, input_shape)