tf.raw_ops.BatchDatasetV2 Creates a dataset that batches batch_size elements from input_dataset.  View aliases  Compat aliases for migration 
See Migration guide for more details. tf.compat.v1.raw_ops.BatchDatasetV2  
tf.raw_ops.BatchDatasetV2(
    input_dataset, batch_size, drop_remainder, output_types, output_shapes,
    parallel_copy=False, 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.  
  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_types   A list of tf.DTypes that has length >= 1.  
  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).   
 


 Returns   A Tensor of type variant.