tensorflow::ops::QuantizeAndDequantizeV3

#include <array_ops.h>

Quantizes then dequantizes a tensor.

Summary

This is almost identical to QuantizeAndDequantizeV2, except that num_bits is a tensor, so its value can change during training.

Arguments:

Returns:

Constructors and Destructors
QuantizeAndDequantizeV3(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input input_min, ::tensorflow::Input input_max, ::tensorflow::Input num_bits)
QuantizeAndDequantizeV3(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input input_min, ::tensorflow::Input input_max, ::tensorflow::Input num_bits, const QuantizeAndDequantizeV3::Attrs & attrs)

Public attributes
operation
output

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

Public static functions
Axis(int64 x)
NarrowRange(bool x)
RangeGiven(bool x)
SignedInput(bool x)

Structs
tensorflow::ops::QuantizeAndDequantizeV3::Attrs

Optional attribute setters for QuantizeAndDequantizeV3.

Public attributes

operation

Operation operation

output

::tensorflow::Output output

Public functions

QuantizeAndDequantizeV3

 QuantizeAndDequantizeV3(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input,
  ::tensorflow::Input input_min,
  ::tensorflow::Input input_max,
  ::tensorflow::Input num_bits
)

QuantizeAndDequantizeV3

 QuantizeAndDequantizeV3(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input,
  ::tensorflow::Input input_min,
  ::tensorflow::Input input_max,
  ::tensorflow::Input num_bits,
  const QuantizeAndDequantizeV3::Attrs & attrs
)

node

::tensorflow::Node * node() const

operator::tensorflow::Input

 operator::tensorflow::Input() const

operator::tensorflow::Output

 operator::tensorflow::Output() const

Public static functions

Axis

Attrs Axis(
  int64 x
)

NarrowRange

Attrs NarrowRange(
  bool x
)

RangeGiven

Attrs RangeGiven(
  bool x
)

SignedInput

Attrs SignedInput(
  bool x
)