tf.raw_ops.ExperimentalThreadPoolHandle
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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.
|
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Last updated 2021-02-18 UTC.
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