Creates a dataset that batches and pads batch_size elements from the input.

    input_dataset, batch_size, padded_shapes, padding_values, drop_remainder,
    output_shapes, parallel_copy=False, name=None


  • input_dataset: A Tensor of type variant.
  • batch_size: A Tensor of type int64. A scalar representing the number of elements to accumulate in a batch.
  • padded_shapes: A list of at least 1 Tensor objects with type int64. A list of int64 tensors representing the desired padded shapes of the corresponding output components. These shapes may be partially specified, using -1 to indicate that a particular dimension should be padded to the maximum size of all batch elements.
  • padding_values: A list of Tensor objects. A list of scalars containing the padding value to use for each of the outputs.
  • drop_remainder: A Tensor of type bool. A scalar representing whether the last batch should be dropped in case its size is smaller than desired.
  • output_shapes: A list of shapes (each a tf.TensorShape or list of ints) that has length >= 1.
  • parallel_copy: An optional bool. Defaults to False.
  • name: A name for the operation (optional).


A Tensor of type variant.