tf.raw_ops.ThreadPoolHandle

Creates a dataset that uses a custom thread pool to compute input_dataset.

Compat aliases for migration

tf.compat.v1.raw_ops.ThreadPoolHandle

tf.raw_ops.ThreadPoolHandle(
    num_threads,
    display_name,
    max_intra_op_parallelism=1,
    container='',
    shared_name='',
    name=None
)

Args
`num_threads`	An `int`. The number of threads in the thread pool.
`display_name`	A `string`. A human-readable name for the threads that may be visible in some visualizations. threadpool.
`max_intra_op_parallelism`	An optional `int`. Defaults to `1`. The maximum degree of parallelism to use within operations that execute on this threadpool.
`container`	An optional `string`. Defaults to `""`.
`shared_name`	An optional `string`. Defaults to `""`.
`name`	A name for the operation (optional).

Returns
A `Tensor` of type `resource`.

Args