org.bytedeco.javacpp

Class tensorflow.QuantizedReluX

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.QuantizedReluX

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

@Namespace(value="tensorflow::ops")
 @NoOffset
public static class tensorflow.QuantizedReluX
extends Pointer

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

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	tensorflow.QuantizedReluX.Attrs Optional attribute setters for QuantizedReluX

Nested classes/interfaces inherited from class org.bytedeco.javacpp.Pointer

Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator

Field Summary

Fields inherited from class org.bytedeco.javacpp.Pointer

address, capacity, limit, position

Constructor Summary

Constructors

Constructor and Description
QuantizedReluX(Pointer p) Pointer cast constructor.
QuantizedReluX(tensorflow.Scope scope, tensorflow.Input features, tensorflow.Input max_value, tensorflow.Input min_features, tensorflow.Input max_features)
QuantizedReluX(tensorflow.Scope scope, tensorflow.Input features, tensorflow.Input max_value, tensorflow.Input min_features, tensorflow.Input max_features, tensorflow.QuantizedReluX.Attrs attrs)

Method Summary

Modifier and Type	Method and Description
tensorflow.Output	activations()
tensorflow.QuantizedReluX	activations(tensorflow.Output activations)
tensorflow.Output	max_activations()
tensorflow.QuantizedReluX	max_activations(tensorflow.Output max_activations)
tensorflow.Output	min_activations()
tensorflow.QuantizedReluX	min_activations(tensorflow.Output min_activations)
tensorflow.Operation	operation()
tensorflow.QuantizedReluX	operation(tensorflow.Operation operation)
static tensorflow.QuantizedReluX.Attrs	OutType(int x)

Methods inherited from class org.bytedeco.javacpp.Pointer

address, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, hashCode, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetof, parseBytes, physicalBytes, position, position, put, realloc, setNull, sizeof, toString, totalBytes, totalPhysicalBytes, withDeallocator, zero

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

QuantizedReluX

public QuantizedReluX(Pointer p)

Pointer cast constructor. Invokes Pointer.Pointer(Pointer).

QuantizedReluX

public QuantizedReluX(@Const @ByRef
                      tensorflow.Scope scope,
                      @ByVal
                      tensorflow.Input features,
                      @ByVal
                      tensorflow.Input max_value,
                      @ByVal
                      tensorflow.Input min_features,
                      @ByVal
                      tensorflow.Input max_features)

QuantizedReluX

public QuantizedReluX(@Const @ByRef
                      tensorflow.Scope scope,
                      @ByVal
                      tensorflow.Input features,
                      @ByVal
                      tensorflow.Input max_value,
                      @ByVal
                      tensorflow.Input min_features,
                      @ByVal
                      tensorflow.Input max_features,
                      @Const @ByRef
                      tensorflow.QuantizedReluX.Attrs attrs)

Method Detail

OutType

@ByVal
public static tensorflow.QuantizedReluX.Attrs OutType(@Cast(value="tensorflow::DataType")
                                                              int x)

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.QuantizedReluX operation(tensorflow.Operation operation)

activations

@ByRef
public tensorflow.Output activations()

activations

public tensorflow.QuantizedReluX activations(tensorflow.Output activations)

min_activations

@ByRef
public tensorflow.Output min_activations()

min_activations

public tensorflow.QuantizedReluX min_activations(tensorflow.Output min_activations)

max_activations

@ByRef
public tensorflow.Output max_activations()

max_activations

public tensorflow.QuantizedReluX max_activations(tensorflow.Output max_activations)