org.bytedeco.javacpp

Class tensorflow.FakeQuantWithMinMaxVarsPerChannelGradient

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.tensorflow.FakeQuantWithMinMaxVarsPerChannelGradient

All Implemented Interfaces:

AutoCloseable

Enclosing class:

tensorflow

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

Compute gradients for a FakeQuantWithMinMaxVarsPerChannel operation. Arguments: * scope: A Scope object * gradients: Backpropagated gradients above the FakeQuantWithMinMaxVars operation, shape one of: [d], [b, d], [b, h, w, d]. * inputs: Values passed as inputs to the FakeQuantWithMinMaxVars operation, shape same as gradients. min, max: Quantization interval, floats of shape [d]. Optional attributes (see Attrs): * num_bits: The bitwidth of the quantization; between 2 and 16, inclusive. * narrow_range: Whether to quantize into 2^num_bits - 1 distinct values. Returns: * Output backprops_wrt_input: Backpropagated gradients w.r.t. inputs, shape same as inputs: gradients * (inputs >= min && inputs <= max). * Output backprop_wrt_min: Backpropagated gradients w.r.t. min parameter, shape [d]: sum_per_d(gradients * (inputs < min)). * Output backprop_wrt_max: Backpropagated gradients w.r.t. max parameter, shape [d]: sum_per_d(gradients * (inputs > max)).

Nested Class Summary

Nested Classes

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

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

Method Summary

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

FakeQuantWithMinMaxVarsPerChannelGradient

public FakeQuantWithMinMaxVarsPerChannelGradient(Pointer p)

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

FakeQuantWithMinMaxVarsPerChannelGradient

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

FakeQuantWithMinMaxVarsPerChannelGradient

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

Method Detail

NumBits

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

NarrowRange

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

operation

@ByRef
public tensorflow.Operation operation()

operation

public tensorflow.FakeQuantWithMinMaxVarsPerChannelGradient operation(tensorflow.Operation operation)

backprops_wrt_input

@ByRef
public tensorflow.Output backprops_wrt_input()

backprops_wrt_input

public tensorflow.FakeQuantWithMinMaxVarsPerChannelGradient backprops_wrt_input(tensorflow.Output backprops_wrt_input)

backprop_wrt_min

@ByRef
public tensorflow.Output backprop_wrt_min()

backprop_wrt_min

public tensorflow.FakeQuantWithMinMaxVarsPerChannelGradient backprop_wrt_min(tensorflow.Output backprop_wrt_min)

backprop_wrt_max

@ByRef
public tensorflow.Output backprop_wrt_max()

backprop_wrt_max

public tensorflow.FakeQuantWithMinMaxVarsPerChannelGradient backprop_wrt_max(tensorflow.Output backprop_wrt_max)