tf.raw_ops.ParallelMapDataset

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Creates a dataset that applies f to the outputs of input_dataset.

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tf.compat.v1.raw_ops.ParallelMapDataset

tf.raw_ops.ParallelMapDataset(
    input_dataset,
    other_arguments,
    num_parallel_calls,
    f,
    output_types,
    output_shapes,
    use_inter_op_parallelism=True,
    sloppy=False,
    preserve_cardinality=False,
    metadata='',
    name=None
)

Unlike a "MapDataset", which applies f sequentially, this dataset invokes up to num_parallel_calls copies of f in parallel.

Args
input_dataset	A Tensor of type variant.
other_arguments	A list of Tensor objects.
num_parallel_calls	A Tensor of type int32. The number of concurrent invocations of f that process elements from input_dataset in parallel.
f	A function decorated with @Defun.
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.
use_inter_op_parallelism	An optional bool. Defaults to True.
sloppy	An optional bool. Defaults to False.
preserve_cardinality	An optional bool. Defaults to False.
metadata	An optional string. Defaults to "".
name	A name for the operation (optional).

Returns
A Tensor of type variant.

tf.raw_ops.ParallelMapDataset | TensorFlow v2.16.1 (original) (raw)

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