tensorflow::ops::FakeQuantWithMinMaxVars

#include <array_ops.h>

Fake-quantize the 'inputs' tensor of type float via global float scalars min

Summary

and max to 'outputs' tensor of same shape as inputs.

[min; max] is the clamping range for the 'inputs' data. Op divides this range into 255 steps (total of 256 values), then replaces each 'inputs' value with the closest of the quantized step values.

This operation has a gradient and thus allows for training min and max values.

Arguments:

Returns:

Constructors and Destructors

FakeQuantWithMinMaxVars(const ::tensorflow::Scope & scope, ::tensorflow::Input inputs, ::tensorflow::Input min, ::tensorflow::Input max)

Public attributes

outputs

Public functions

node() const
::tensorflow::Node *
operator::tensorflow::Input() const
operator::tensorflow::Output() const

Public attributes

outputs

::tensorflow::Output outputs

Public functions

FakeQuantWithMinMaxVars

 FakeQuantWithMinMaxVars(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input inputs,
  ::tensorflow::Input min,
  ::tensorflow::Input max
)

node

::tensorflow::Node * node() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Output

 operator::tensorflow::Output() const