class_docstr: A container that holds info about partial batches for `predict()`.
code: def __init__(self, output_shape):
      self.padded_batch_size = 0
      self.padding_mask = array_ops.zeros(0)
      self.output_shape = output_shape
  
file_path: tensorflow-upstream/tensorflow/python/keras/engine/partial_batch_padding_handler.py
imports: import numpy
  from tensorflow.python.framework import tensor_util
  from tensorflow.python.keras import backend
  from tensorflow.python.ops import array_ops
  from tensorflow.python.util import nest
label_desc: Use image node_id 1 to create a new PartialBatchPaddingHandler object from inherited base classes: object with example: obj = PartialBatchPaddingHandler(output_shape)