tensorflow:: ops:: QuantizedRelu
#include <nn_ops.h>
Computes Quantized Rectified Linear: max(features, 0)
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 |
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QuantizedRelu(const ::tensorflow::Scope & scope, ::tensorflow::Input features, ::tensorflow::Input min_features, ::tensorflow::Input max_features)
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QuantizedRelu(const ::tensorflow::Scope & scope, ::tensorflow::Input features, ::tensorflow::Input min_features, ::tensorflow::Input max_features, const QuantizedRelu::Attrs & attrs)
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Public attributes |
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activations
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max_activations
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min_activations
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operation
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Public static functions |
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OutType(DataType x)
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Structs |
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tensorflow:: |
Optional attribute setters for QuantizedRelu. |
Public attributes
activations
::tensorflow::Output activations
max_activations
::tensorflow::Output max_activations
min_activations
::tensorflow::Output min_activations
operation
Operation operation
Public functions
QuantizedRelu
QuantizedRelu( const ::tensorflow::Scope & scope, ::tensorflow::Input features, ::tensorflow::Input min_features, ::tensorflow::Input max_features )
QuantizedRelu
QuantizedRelu( const ::tensorflow::Scope & scope, ::tensorflow::Input features, ::tensorflow::Input min_features, ::tensorflow::Input max_features, const QuantizedRelu::Attrs & attrs )
Public static functions
OutType
Attrs OutType( DataType x )