tf.raw_ops.PaddedBatchDataset

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

tf.raw_ops.PaddedBatchDataset(
    input_dataset, batch_size, padded_shapes, padding_values, output_shapes,
    name=None
)

Args:

  • 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.
  • output_shapes: A list of shapes (each a tf.TensorShape or list of ints) that has length >= 1.
  • name: A name for the operation (optional).

Returns:

A Tensor of type variant.