tf.raw_ops.QueueEnqueueManyV2
Stay organized with collections
Save and categorize content based on your preferences.
Enqueues zero or more tuples of one or more tensors in the given queue.
tf.raw_ops.QueueEnqueueManyV2(
handle, components, timeout_ms=-1, name=None
)
This operation slices each component tensor along the 0th dimension to
make multiple queue elements. All of the tuple components must have the
same size in the 0th dimension.
The components input has k elements, which correspond to the components of
tuples stored in the given queue.
N.B. If the queue is full, this operation will block until the given
elements have been enqueued (or 'timeout_ms' elapses, if specified).
Args |
handle
|
A Tensor of type resource . The handle to a queue.
|
components
|
A list of Tensor objects.
One or more tensors from which the enqueued tensors should
be taken.
|
timeout_ms
|
An optional int . Defaults to -1 .
If the queue is too full, this operation will block for up
to timeout_ms milliseconds.
Note: This option is not supported yet.
|
name
|
A name for the operation (optional).
|
Returns |
The created Operation.
|
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.
Last updated 2022-10-27 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2022-10-27 UTC."],[],[]]