class_docstr: Applies global max pooling operation for 3D data.
  Data format currently supported for this layer is dim_ordering='th' (Channel First).
  Border mode currently supported for this layer is 'valid'.
  The input of this layer should be 5D.
  
  When you use this layer as the first layer of a model, you need to provide the argument
  input_shape (a shape tuple, does not include the batch dimension).
  
  # Arguments
  dim_ordering: Format of input data. Only 'th' (Channel First) is supported for now.
  input_shape: A shape tuple, not including batch.
  name: String to set the name of the layer.
        If not specified, its name will by default to be a generated string.
  
  >>> globalmaxpooling3d = GlobalMaxPooling3D(input_shape=(4, 32, 32, 32))
  creating: createZooKerasGlobalMaxPooling3D
code: def __init__(self, dim_ordering="th", input_shape=None, **kwargs):
      super(GlobalMaxPooling3D, self).__init__(
          None,
          dim_ordering,
          list(input_shape) if input_shape else None,
          **kwargs,
      )
  
imports: import sys
  from ..engine.topology import ZooKerasLayer
label_desc: Use image node_id 1 to create a new GlobalMaxPooling3D object from inherited base classes: ZooKerasLayer with example: obj = GlobalMaxPooling3D(dim_ordering, input_shape)