org.bytedeco.javacpp

Class tensorflow.FakeQuantWithMinMaxVars

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.FakeQuantWithMinMaxVars

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

Fake-quantize the 'inputs' tensor of type float via global float scalars min and max to 'outputs' tensor of same shape as inputs. [min; max] define the clamping range for the inputs data. inputs values are quantized into the quantization range ([0; 2^num_bits - 1] when narrow_range is false and [1; 2^num_bits - 1] when it is true) and then de-quantized and output as floats in [min; max] interval. num_bits is the bitwidth of the quantization; between 2 and 16, inclusive. This operation has a gradient and thus allows for training min and max values. Arguments: * scope: A Scope object Returns: * Output: The outputs tensor.

Nested Class Summary

Nested Classes

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

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
FakeQuantWithMinMaxVars(Pointer p) Pointer cast constructor.
FakeQuantWithMinMaxVars(tensorflow.Scope scope, tensorflow.Input inputs, tensorflow.Input min, tensorflow.Input max)
FakeQuantWithMinMaxVars(tensorflow.Scope scope, tensorflow.Input inputs, tensorflow.Input min, tensorflow.Input max, tensorflow.FakeQuantWithMinMaxVars.Attrs attrs)

Method Summary

Modifier and Type	Method and Description
tensorflow.Input	asInput()
tensorflow.Output	asOutput()
static tensorflow.FakeQuantWithMinMaxVars.Attrs	NarrowRange(boolean x)
tensorflow.Node	node()
static tensorflow.FakeQuantWithMinMaxVars.Attrs	NumBits(long x)
tensorflow.Operation	operation()
tensorflow.FakeQuantWithMinMaxVars	operation(tensorflow.Operation operation)
tensorflow.Output	outputs()
tensorflow.FakeQuantWithMinMaxVars	outputs(tensorflow.Output outputs)

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

FakeQuantWithMinMaxVars

public FakeQuantWithMinMaxVars(Pointer p)

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

FakeQuantWithMinMaxVars

public FakeQuantWithMinMaxVars(@Const @ByRef
                               tensorflow.Scope scope,
                               @ByVal
                               tensorflow.Input inputs,
                               @ByVal
                               tensorflow.Input min,
                               @ByVal
                               tensorflow.Input max)

FakeQuantWithMinMaxVars

public FakeQuantWithMinMaxVars(@Const @ByRef
                               tensorflow.Scope scope,
                               @ByVal
                               tensorflow.Input inputs,
                               @ByVal
                               tensorflow.Input min,
                               @ByVal
                               tensorflow.Input max,
                               @Const @ByRef
                               tensorflow.FakeQuantWithMinMaxVars.Attrs attrs)

Method Detail

asOutput

@ByVal
 @Name(value="operator tensorflow::Output")
public tensorflow.Output asOutput()

asInput

@ByVal
 @Name(value="operator tensorflow::Input")
public tensorflow.Input asInput()

node

public tensorflow.Node node()

NumBits

@ByVal
public static tensorflow.FakeQuantWithMinMaxVars.Attrs NumBits(@Cast(value="tensorflow::int64")
                                                                       long x)

NarrowRange

@ByVal
public static tensorflow.FakeQuantWithMinMaxVars.Attrs NarrowRange(@Cast(value="bool")
                                                                           boolean x)

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.FakeQuantWithMinMaxVars operation(tensorflow.Operation operation)

outputs

@ByRef
public tensorflow.Output outputs()

outputs

public tensorflow.FakeQuantWithMinMaxVars outputs(tensorflow.Output outputs)