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.

Before quantization, min and max values are adjusted with the following logic. It is suggested to have min <= 0 <= max. If 0 is not in the range of values, the behavior can be unexpected:

  • If 0 < min < max: min_adj = 0 and max_adj = max - min.
  • If min < max < 0: min_adj = min - max and max_adj = 0.
  • If min <= 0 <= max: scale = (max - min) / (2^num_bits - 1), min_adj = scale * round(min / scale) and max_adj = max + min_adj - min.

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
operation
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

operation

Operation operation

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
)