class_docstr: Repeats the input n times.
  The input of this layer should be 2D.
  
  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
  n: Repetition factor. Int.
  input_dim: Dimensionality of the input. Alternatively, you can specify 'input_shape'
             when using this layer as the first layer.
  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.
  
  >>> repeatvector = RepeatVector(5, input_shape=(3, ))
  creating: createZooKerasRepeatVector
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code: def __init__(self, n, input_dim=None, input_shape=None, **kwargs):
      if input_dim:
          input_shape = (input_dim,)
      super(RepeatVector, self).__init__(
          None, n, list(input_shape) if input_shape else None, **kwargs
      )
  
imports: import sys
  from bigdl.dllib.utils.common import INTMIN
  from ..engine.topology import ZooKerasLayer
label_desc: Use image node_id 1 to create a new RepeatVector object from inherited base classes: ZooKerasLayer with example: obj = RepeatVector(n, input_dim, input_shape)