tensorflow::ops::FakeQuantWithMinMaxArgs

#include <array_ops.h>

Fake-quantize the 'inputs' tensor, type float to 'outputs' tensor of same type.

Summary

Attributes [min; max] define the clamping range for the inputs data. inputs values are quantized into the quantization range ([0; 2^num_bits - 1] when narrow_range is false and [1; 2^num_bits - 1] when it is true) and then de-quantized and output as floats in [min; max] interval. num_bits is the bitwidth of the quantization; between 2 and 16, inclusive.

Quantization is called fake since the output is still in floating point.

Arguments:

Returns:

Constructors and Destructors

FakeQuantWithMinMaxArgs(const ::tensorflow::Scope & scope, ::tensorflow::Input inputs)
FakeQuantWithMinMaxArgs(const ::tensorflow::Scope & scope, ::tensorflow::Input inputs, const FakeQuantWithMinMaxArgs::Attrs & attrs)

Public attributes

outputs

Public functions

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

Public static functions

Max(float x)
Min(float x)
NarrowRange(bool x)
NumBits(int64 x)

Structs

tensorflow::ops::FakeQuantWithMinMaxArgs::Attrs

Optional attribute setters for FakeQuantWithMinMaxArgs.

Public attributes

outputs

::tensorflow::Output outputs

Public functions

FakeQuantWithMinMaxArgs

 FakeQuantWithMinMaxArgs(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input inputs
)

FakeQuantWithMinMaxArgs

 FakeQuantWithMinMaxArgs(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input inputs,
  const FakeQuantWithMinMaxArgs::Attrs & attrs
)

node

::tensorflow::Node * node() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Output

 operator::tensorflow::Output() const 

Public static functions

Max

Attrs Max(
  float x
)

Min

Attrs Min(
  float x
)

NarrowRange

Attrs NarrowRange(
  bool x
)

NumBits

Attrs NumBits(
  int64 x
)