tensorflow::ops::RequantizationRange
#include <math_ops.h>
Computes a range that covers the actual values present in a quantized tensor.
Summary
Given a quantized tensor described by (input, input_min, input_max)
, outputs a range that covers the actual values present in that tensor. This op is typically used to produce the requested_output_min
and requested_output_max
for Requantize
.
Arguments:
- scope: A Scope object
- input_min: The float value that the minimum quantized input value represents.
- input_max: The float value that the maximum quantized input value represents.
Returns:
Constructors and Destructors | |
---|---|
RequantizationRange(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input input_min, ::tensorflow::Input input_max) |
Public attributes | |
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operation | |
output_max | |
output_min |
Public attributes
operation
Operation operation
output_max
::tensorflow::Output output_max
output_min
::tensorflow::Output output_min
Public functions
RequantizationRange
RequantizationRange( const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input input_min, ::tensorflow::Input input_max )
© 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/r1.15/api_docs/cc/class/tensorflow/ops/requantization-range