org.bytedeco.pytorch

Class L1LossImpl

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.pytorch.Module

org.bytedeco.pytorch.L1LossImplCloneable

org.bytedeco.pytorch.L1LossImpl

All Implemented Interfaces:

AutoCloseable

@Namespace(value="torch::nn")
 @NoOffset
 @Properties(inherit=torch.class)
public class L1LossImpl
extends L1LossImplCloneable

Creates a criterion that measures the mean absolute error (MAE) between each element in the input : math :x and target : y. See https://pytorch.org/docs/master/nn.html#torch.nn.L1Loss to learn about the exact behavior of this module. See the documentation for torch::nn::L1LossOptions class to learn what constructor arguments are supported for this module. Example:

  L1Loss model(L1LossOptions(torch::kNone));
  

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
L1LossImpl()
L1LossImpl(L1LossOptions options_)
L1LossImpl(Module pointer) Downcast constructor.
L1LossImpl(Pointer p) Pointer cast constructor.

Method Summary

Modifier and Type	Method and Description
Tensor	forward(Tensor input, Tensor target)
L1LossOptions	options() The options with which this Module was constructed.
L1LossImpl	options(L1LossOptions setter)
void	pretty_print(Pointer stream) Pretty prints the L1Loss module into the given stream.
void	reset() reset() must perform initialization of all members with reference semantics, most importantly parameters, buffers and submodules.

Methods inherited from class org.bytedeco.pytorch.L1LossImplCloneable

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, 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

L1LossImpl

public L1LossImpl(Pointer p)

Pointer cast constructor. Invokes Pointer(Pointer).

L1LossImpl

public L1LossImpl(Module pointer)

Downcast constructor.

L1LossImpl

public L1LossImpl(@ByVal(nullValue="torch::nn::L1LossOptions{}")
                  L1LossOptions options_)

L1LossImpl

public L1LossImpl()

Method Detail

reset

public void reset()

Description copied from class: L1LossImplCloneable

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

Overrides:

reset in class L1LossImplCloneable

pretty_print

public void pretty_print(@Cast(value="std::ostream*") @ByRef
                         Pointer stream)

Pretty prints the L1Loss module into the given stream.

Overrides:

pretty_print in class Module

forward

@ByVal
public Tensor forward(@Const @ByRef
                             Tensor input,
                             @Const @ByRef
                             Tensor target)

options

@ByRef
public L1LossOptions options()

The options with which this Module was constructed.

options

public L1LossImpl options(L1LossOptions setter)