tensorflow::ops::QuantizeAndDequantizeV4

#include <array_ops.h>

Quantizes then dequantizes a tensor.

Summary

This is almost identical to QuantizeAndDequantizeV2, except that it returns a gradient of 1 for inputs that are within the quantization range, or 0 otherwise.

Args:

  • scope: A Scope object
  • input: Tensor to quantize and then dequantize.
  • input_min: If range_given == True, this specifies the minimum input value that needs to be represented, otherwise it is determined from the min value of the input tensor.
  • input_max: If range_given == True, this specifies the maximum input value that needs to be represented, otherwise it is determined from the max value of the input tensor.

Optional attributes (see Attrs):

  • signed_input: Whether the quantization is signed or unsigned. (actually this parameter should have been called signed_output )
  • num_bits: The bitwidth of the quantization.
  • range_given: Whether the range is given or should be determined from the input tensor.
  • round_mode: The 'round_mode' attribute controls which rounding tie-breaking algorithm is used when rounding float values to their quantized equivalents. The following rounding modes are currently supported:
  • HALF_TO_EVEN: this is the default round_mode.
  • HALF_UP: round towards positive. In this mode 7.5 rounds up to 8 and -7.5 rounds up to -7.
  • narrow_range: If True, then the absolute value of the quantized minimum value is the same as the quantized maximum value, instead of 1 greater. i.e. for 8 bit quantization, the minimum value is -127 instead of -128.
  • axis: If specified, this axis is treated as a channel or slice axis, and a separate quantization range is used for each channel or slice along this axis.

Returns:

Constructors and Destructors
QuantizeAndDequantizeV4(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input input_min, ::tensorflow::Input input_max)
QuantizeAndDequantizeV4(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input input_min, ::tensorflow::Input input_max, const QuantizeAndDequantizeV4::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)
NumBits(int64 x)
RangeGiven(bool x)
RoundMode(StringPiece x)
SignedInput(bool x)

Structs
tensorflow::ops::QuantizeAndDequantizeV4::Attrs

Optional attribute setters for QuantizeAndDequantizeV4.

Public attributes

operation

Operation operation

output

::tensorflow::Output output

Public functions

QuantizeAndDequantizeV4

 QuantizeAndDequantizeV4(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input,
  ::tensorflow::Input input_min,
  ::tensorflow::Input input_max
)

QuantizeAndDequantizeV4

 QuantizeAndDequantizeV4(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input,
  ::tensorflow::Input input_min,
  ::tensorflow::Input input_max,
  const QuantizeAndDequantizeV4::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
)

NumBits

Attrs NumBits(
  int64 x
)

RangeGiven

Attrs RangeGiven(
  bool x
)

RoundMode

Attrs RoundMode(
  StringPiece x
)

SignedInput

Attrs SignedInput(
  bool x
)