tensorflow::ops::QuantizedReluX

#include <nn_ops.h>

Computes Quantized Rectified Linear X: min(max(features, 0), max_value)

Summary

Args:

• scope: A Scope object
• min_features: The float value that the lowest quantized value represents.
• max_features: The float value that the highest quantized value represents.

Returns:

• Output activations: Has the same output shape as "features".
• Output min_activations: The float value that the lowest quantized value represents.
• Output max_activations: The float value that the highest quantized value represents.

Constructors and Destructors
QuantizedReluX(const ::tensorflow::Scope & scope, ::tensorflow::Input features, ::tensorflow::Input max_value, ::tensorflow::Input min_features, ::tensorflow::Input max_features)
QuantizedReluX(const ::tensorflow::Scope & scope, ::tensorflow::Input features, ::tensorflow::Input max_value, ::tensorflow::Input min_features, ::tensorflow::Input max_features, const QuantizedReluX::Attrs & attrs)

Public attributes
activations	::tensorflow::Output
max_activations	::tensorflow::Output
min_activations	::tensorflow::Output
operation	Operation

Public static functions
OutType(DataType x)	Attrs

Structs
tensorflow::ops::QuantizedReluX::Attrs	Optional attribute setters for QuantizedReluX.

Public attributes

activations

::tensorflow::Output activations

max_activations

::tensorflow::Output max_activations

min_activations

::tensorflow::Output min_activations

operation

Operation operation

Public functions

QuantizedReluX

 QuantizedReluX(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input features,
  ::tensorflow::Input max_value,
  ::tensorflow::Input min_features,
  ::tensorflow::Input max_features
)

QuantizedReluX

 QuantizedReluX(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input features,
  ::tensorflow::Input max_value,
  ::tensorflow::Input min_features,
  ::tensorflow::Input max_features,
  const QuantizedReluX::Attrs & attrs
)

Public static functions

OutType

Attrs OutType(
  DataType x
)