tf.raw_ops.ThreadPoolHandle

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

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.