org.bytedeco.javacpp

Class tensorflow.FakeQuantWithMinMaxVarsGradient

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.FakeQuantWithMinMaxVarsGradient

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

Compute gradients for a FakeQuantWithMinMaxVars operation. Arguments: * scope: A Scope object * gradients: Backpropagated gradients above the FakeQuantWithMinMaxVars operation. * inputs: Values passed as inputs to the FakeQuantWithMinMaxVars operation. min, max: Quantization interval, scalar floats. Optional attributes (see Attrs): * num_bits: The bitwidth of the quantization; between 2 and 8, inclusive. * narrow_range: Whether to quantize into 2^num_bits - 1 distinct values. Returns: * Output backprops_wrt_input: Backpropagated gradients w.r.t. inputs: gradients * (inputs >= min && inputs <= max). * Output backprop_wrt_min: Backpropagated gradients w.r.t. min parameter: sum(gradients * (inputs < min)). * Output backprop_wrt_max: Backpropagated gradients w.r.t. max parameter: sum(gradients * (inputs > max)).

Nested Class Summary

Nested Classes

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

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

Method Summary

Modifier and Type	Method and Description
tensorflow.Output	backprop_wrt_max()
tensorflow.FakeQuantWithMinMaxVarsGradient	backprop_wrt_max(tensorflow.Output backprop_wrt_max)
tensorflow.Output	backprop_wrt_min()
tensorflow.FakeQuantWithMinMaxVarsGradient	backprop_wrt_min(tensorflow.Output backprop_wrt_min)
tensorflow.Output	backprops_wrt_input()
tensorflow.FakeQuantWithMinMaxVarsGradient	backprops_wrt_input(tensorflow.Output backprops_wrt_input)
static tensorflow.FakeQuantWithMinMaxVarsGradient.Attrs	NarrowRange(boolean x)
static tensorflow.FakeQuantWithMinMaxVarsGradient.Attrs	NumBits(long x)
tensorflow.Operation	operation()
tensorflow.FakeQuantWithMinMaxVarsGradient	operation(tensorflow.Operation operation)

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

FakeQuantWithMinMaxVarsGradient

public FakeQuantWithMinMaxVarsGradient(Pointer p)

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

FakeQuantWithMinMaxVarsGradient

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

FakeQuantWithMinMaxVarsGradient

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

Method Detail

NumBits

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

NarrowRange

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

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.FakeQuantWithMinMaxVarsGradient operation(tensorflow.Operation operation)

backprops_wrt_input

@ByRef
public tensorflow.Output backprops_wrt_input()

backprops_wrt_input

public tensorflow.FakeQuantWithMinMaxVarsGradient backprops_wrt_input(tensorflow.Output backprops_wrt_input)

backprop_wrt_min

@ByRef
public tensorflow.Output backprop_wrt_min()

backprop_wrt_min

public tensorflow.FakeQuantWithMinMaxVarsGradient backprop_wrt_min(tensorflow.Output backprop_wrt_min)

backprop_wrt_max

@ByRef
public tensorflow.Output backprop_wrt_max()

backprop_wrt_max

public tensorflow.FakeQuantWithMinMaxVarsGradient backprop_wrt_max(tensorflow.Output backprop_wrt_max)