tf.raw_ops.ExperimentalThreadPoolHandle
Creates a dataset that uses a custom thread pool to compute input_dataset.
tf.raw_ops.ExperimentalThreadPoolHandle(
    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.  |  
    © 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
    https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/raw_ops/ExperimentalThreadPoolHandle