org.bytedeco.pytorch

Class InstanceNorm2dImplBaseBase

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.pytorch.Module

org.bytedeco.pytorch.InstanceNorm2dImplCloneable

org.bytedeco.pytorch.InstanceNorm2dImplBaseBase

All Implemented Interfaces:

AutoCloseable

Direct Known Subclasses:

InstanceNorm2dImplBase

@Name(value="torch::nn::NormImplBase<2,torch::nn::InstanceNorm2dImpl,torch::nn::InstanceNormOptions>")
 @NoOffset
 @Properties(inherit=torch.class)
public class InstanceNorm2dImplBaseBase
extends InstanceNorm2dImplCloneable

Nested Class Summary

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

Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator, Pointer.ReferenceCounter

Field Summary

Fields inherited from class org.bytedeco.javacpp.Pointer

address, capacity, limit, position

Constructor Summary

Constructors

Constructor and Description
InstanceNorm2dImplBaseBase(Module pointer) Downcast constructor.
InstanceNorm2dImplBaseBase(Pointer p) Pointer cast constructor.

Method Summary

Modifier and Type	Method and Description
Tensor	bias() The learned bias.
InstanceNorm2dImplBaseBase	bias(Tensor setter)
Tensor	num_batches_tracked() The number of the forward call.
InstanceNorm2dImplBaseBase	num_batches_tracked(Tensor setter)
InstanceNormOptions	options() The options with which this module was constructed.
InstanceNorm2dImplBaseBase	options(InstanceNormOptions setter)
void	reset_parameters()
void	reset_running_stats()
void	reset() reset() must perform initialization of all members with reference semantics, most importantly parameters, buffers and submodules.
Tensor	running_mean() The running mean.
InstanceNorm2dImplBaseBase	running_mean(Tensor setter)
Tensor	running_var() The running variance.
InstanceNorm2dImplBaseBase	running_var(Tensor setter)
Tensor	weight() The learned weight.
InstanceNorm2dImplBaseBase	weight(Tensor setter)

Methods inherited from class org.bytedeco.pytorch.InstanceNorm2dImplCloneable

asModule, asModule, clone, clone

Methods inherited from class org.bytedeco.pytorch.Module

apply, apply, apply, apply, apply, apply, apply, apply, buffers, buffers, children, eval, is_serializable, is_training, load, modules, modules, name, named_buffers, named_buffers, named_children, named_modules, named_modules, named_modules, named_parameters, named_parameters, parameters, parameters, pretty_print, register_buffer, register_buffer, register_module, register_module, register_parameter, register_parameter, register_parameter, register_parameter, save, shiftLeft, to, to, to, train, unregister_module, unregister_module, zero_grad

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, 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

Methods inherited from class java.lang.Object

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

Constructor Detail

InstanceNorm2dImplBaseBase

public InstanceNorm2dImplBaseBase(Pointer p)

Pointer cast constructor. Invokes Pointer(Pointer).

InstanceNorm2dImplBaseBase

public InstanceNorm2dImplBaseBase(Module pointer)

Downcast constructor.

Method Detail

reset

public void reset()

Description copied from class: InstanceNorm2dImplCloneable

reset() must perform initialization of all members with reference semantics, most importantly parameters, buffers and submodules.

Overrides:

reset in class InstanceNorm2dImplCloneable

reset_running_stats

public void reset_running_stats()

reset_parameters

public void reset_parameters()

options

@ByRef
public InstanceNormOptions options()

The options with which this module was constructed.

options

public InstanceNorm2dImplBaseBase options(InstanceNormOptions setter)

weight

@ByRef
public Tensor weight()

The learned weight. Only defined if the affine option was true upon construction.

weight

public InstanceNorm2dImplBaseBase weight(Tensor setter)

bias

@ByRef
public Tensor bias()

The learned bias. Only defined if the affine option was true upon construction.

bias

public InstanceNorm2dImplBaseBase bias(Tensor setter)

running_mean

@ByRef
public Tensor running_mean()

The running mean. Only defined if the track_running_stats option was true upon construction.

running_mean

public InstanceNorm2dImplBaseBase running_mean(Tensor setter)

running_var

@ByRef
public Tensor running_var()

The running variance. Only defined if the track_running_stats option was true upon construction.

running_var

public InstanceNorm2dImplBaseBase running_var(Tensor setter)

num_batches_tracked

@ByRef
public Tensor num_batches_tracked()

The number of the forward call. Only defined if the track_running_stats option was true upon construction.

num_batches_tracked

public InstanceNorm2dImplBaseBase num_batches_tracked(Tensor setter)