tf.raw_ops.NcclReduce
Stay organized with collections
Save and categorize content based on your preferences.
Reduces input from num_devices using reduction to a single device.
tf.raw_ops.NcclReduce(
input, reduction, name=None
)
Reduces input from num_devices using reduction to a single device.
The graph should be constructed so that all inputs have a valid device
assignment, and the op itself is assigned one of these devices.
input: The input to the reduction.
data: the value of the reduction across all num_devices devices.
reduction: the reduction operation to perform.
Args |
|---|
input
|
A list of at least 1 Tensor objects with the same type in: half, float32, float64, int32, int64.
|
reduction
|
A string from: "min", "max", "prod", "sum".
|
name
|
A name for the operation (optional).
|
Returns |
|---|
A Tensor. Has the same type as input.
|
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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2022-10-27 UTC."],[],[]]
