tf.raw_ops.PrivateThreadPoolDataset

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

tf.raw_ops.PrivateThreadPoolDataset(
    input_dataset, num_threads, output_types, output_shapes, name=None
)

Args:

  • input_dataset: A Tensor of type variant.
  • num_threads: A Tensor of type int64. Identifies the number of threads to use for the private threadpool.
  • 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.
  • name: A name for the operation (optional).

Returns:

A Tensor of type variant.