@Namespace(value="tensorflow::ops") @NoOffset @Properties(inherit=tensorflow.class) public class FusedBatchNormGradV2 extends Pointer
Attrs
):
* epsilon: A small float number added to the variance of x.
* data_format: The data format for y_backprop, x, x_backprop.
Either "NHWC" (default) or "NCHW".
* is_training: A bool value to indicate the operation is for training (default)
or inference.
Returns:
* Output
x_backprop: A 4D Tensor for the gradient with respect to x.
* Output
scale_backprop: A 1D Tensor for the gradient with respect to scale.
* Output
offset_backprop: A 1D Tensor for the gradient with respect to offset.
* Output
reserve_space_3: Unused placeholder to match the mean input in FusedBatchNorm.
* Output
reserve_space_4: Unused placeholder to match the variance input
in FusedBatchNorm.Modifier and Type | Class and Description |
---|---|
static class |
FusedBatchNormGradV2.Attrs
Optional attribute setters for FusedBatchNormGradV2
|
Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator, Pointer.ReferenceCounter
Constructor and Description |
---|
FusedBatchNormGradV2(Pointer p)
Pointer cast constructor.
|
FusedBatchNormGradV2(Scope scope,
Input y_backprop,
Input x,
Input scale,
Input reserve_space_1,
Input reserve_space_2) |
FusedBatchNormGradV2(Scope scope,
Input y_backprop,
Input x,
Input scale,
Input reserve_space_1,
Input reserve_space_2,
FusedBatchNormGradV2.Attrs attrs) |
Modifier and Type | Method and Description |
---|---|
static FusedBatchNormGradV2.Attrs |
DataFormat(BytePointer x) |
static FusedBatchNormGradV2.Attrs |
DataFormat(String x) |
static FusedBatchNormGradV2.Attrs |
Epsilon(float x) |
static FusedBatchNormGradV2.Attrs |
IsTraining(boolean x) |
Output |
offset_backprop() |
FusedBatchNormGradV2 |
offset_backprop(Output setter) |
Operation |
operation() |
FusedBatchNormGradV2 |
operation(Operation setter) |
Output |
reserve_space_3() |
FusedBatchNormGradV2 |
reserve_space_3(Output setter) |
Output |
reserve_space_4() |
FusedBatchNormGradV2 |
reserve_space_4(Output setter) |
Output |
scale_backprop() |
FusedBatchNormGradV2 |
scale_backprop(Output setter) |
Output |
x_backprop() |
FusedBatchNormGradV2 |
x_backprop(Output setter) |
address, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, getDirectBufferAddress, getPointer, getPointer, getPointer, getPointer, hashCode, interruptDeallocatorThread, isNull, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetAddress, offsetof, offsetof, parseBytes, physicalBytes, physicalBytesInaccurate, position, position, put, realloc, referenceCount, releaseReference, retainReference, setNull, sizeof, sizeof, toString, totalBytes, totalCount, totalPhysicalBytes, withDeallocator, zero
public FusedBatchNormGradV2(Pointer p)
Pointer(Pointer)
.public FusedBatchNormGradV2(@Const @ByRef Scope scope, @ByVal Input y_backprop, @ByVal Input x, @ByVal Input scale, @ByVal Input reserve_space_1, @ByVal Input reserve_space_2)
@ByVal public static FusedBatchNormGradV2.Attrs Epsilon(float x)
@ByVal public static FusedBatchNormGradV2.Attrs DataFormat(@tensorflow.StringPiece BytePointer x)
@ByVal public static FusedBatchNormGradV2.Attrs DataFormat(@tensorflow.StringPiece String x)
@ByVal public static FusedBatchNormGradV2.Attrs IsTraining(@Cast(value="bool") boolean x)
public FusedBatchNormGradV2 operation(Operation setter)
public FusedBatchNormGradV2 x_backprop(Output setter)
public FusedBatchNormGradV2 scale_backprop(Output setter)
public FusedBatchNormGradV2 offset_backprop(Output setter)
public FusedBatchNormGradV2 reserve_space_3(Output setter)
public FusedBatchNormGradV2 reserve_space_4(Output setter)
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