tf.raw_ops.RequantizationRangePerChannel
Stay organized with collections
Save and categorize content based on your preferences.
Computes requantization range per channel.
tf.raw_ops.RequantizationRangePerChannel(
input, input_min, input_max, clip_value_max, name=None
)
Args |
|---|
input
|
A Tensor. Must be one of the following types: qint8, quint8, qint32, qint16, quint16.
The original input tensor.
|
input_min
|
A Tensor of type float32.
The minimum value of the input tensor
|
input_max
|
A Tensor of type float32.
The maximum value of the input tensor.
|
clip_value_max
|
A float.
The maximum value of the output that needs to be clipped.
Example: set this to 6 for Relu6.
|
name
|
A name for the operation (optional).
|
Returns |
|---|
A tuple of Tensor objects (output_min, output_max).
|
output_min
|
A Tensor of type float32.
|
output_max
|
A Tensor of type float32.
|
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.
Last updated 2020-10-01 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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2020-10-01 UTC."],[],[]]
