tensorflow::ops::QuantizedReluX

#include <nn_ops.h>

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

Summary

Arguments:

• 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.

Public attributes

::tensorflow::Output activations

::tensorflow::Output max_activations

::tensorflow::Output min_activations

Public functions

 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 static functions

Attrs OutType(
  DataType x
)