tf.raw_ops.ParallelBatchDataset(
input_dataset,
batch_size,
num_parallel_calls,
drop_remainder,
output_types,
output_shapes,
parallel_copy=False,
deterministic='default',
metadata='',
name=None
)
Args |
input_dataset
|
A Tensor of type variant .
|
batch_size
|
A Tensor of type int64 .
|
num_parallel_calls
|
A Tensor of type int64 .
|
drop_remainder
|
A Tensor of type bool .
|
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 .
|
deterministic
|
An optional string . Defaults to "default" .
|
metadata
|
An optional string . Defaults to "" .
|
name
|
A name for the operation (optional).
|
Returns |
A Tensor of type variant .
|