tensorflow:: ops:: QuantizedInstanceNorm:: Attrs


   #include <array_ops.h>

Optional attribute setters for QuantizedInstanceNorm .

Summary

Public functions
`GivenYMax (float x)`	`TF_MUST_USE_RESULT Attrs` Output in `y_max` if `output_range_given` is True.
`GivenYMin (float x)`	`TF_MUST_USE_RESULT Attrs` Output in `y_min` if `output_range_given` is True.
`MinSeparation (float x)`	`TF_MUST_USE_RESULT Attrs` Minimum value of `y_max - y_min`
`OutputRangeGiven (bool x)`	`TF_MUST_USE_RESULT Attrs` If True, `given_y_min` and `given_y_min` and `given_y_max` are used as the output range.
`VarianceEpsilon (float x)`	`TF_MUST_USE_RESULT Attrs` A small float number to avoid dividing by 0.

float tensorflow::ops::QuantizedInstanceNorm::Attrs::given_y_max_ = 0.0f

float tensorflow::ops::QuantizedInstanceNorm::Attrs::given_y_min_ = 0.0f

float tensorflow::ops::QuantizedInstanceNorm::Attrs::min_separation_ = 0.001f

bool tensorflow::ops::QuantizedInstanceNorm::Attrs::output_range_given_ = false

float tensorflow::ops::QuantizedInstanceNorm::Attrs::variance_epsilon_ = 1e-05f

TF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizedInstanceNorm::Attrs::GivenYMax(
  float x
)

Output in y_max if output_range_given is True.

Defaults to 0

TF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizedInstanceNorm::Attrs::GivenYMin(
  float x
)

Output in y_min if output_range_given is True.

Defaults to 0

TF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizedInstanceNorm::Attrs::MinSeparation(
  float x
)

Minimum value of y_max - y_min

Defaults to 0.001

TF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizedInstanceNorm::Attrs::OutputRangeGiven(
  bool x
)

If True, given_y_min and given_y_min and given_y_max are used as the output range.

Otherwise, the implementation computes the output range.

Defaults to false

TF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizedInstanceNorm::Attrs::VarianceEpsilon(
  float x
)

A small float number to avoid dividing by 0.

Defaults to 1e-05