@Namespace(value="torch::nn") @NoOffset @Properties(inherit=torch.class) public class L1LossImpl extends L1LossImplCloneable
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));
Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator, Pointer.ReferenceCounter
Constructor and Description |
---|
L1LossImpl() |
L1LossImpl(L1LossOptions options_) |
L1LossImpl(Module pointer)
Downcast constructor.
|
L1LossImpl(Pointer p)
Pointer cast constructor.
|
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. |
asModule, asModule, clone, clone
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
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 L1LossImpl(Pointer p)
Pointer(Pointer)
.public L1LossImpl(Module pointer)
public L1LossImpl(@ByVal(nullValue="torch::nn::L1LossOptions{}") L1LossOptions options_)
public L1LossImpl()
public void reset()
L1LossImplCloneable
reset()
must perform initialization of all members with reference
semantics, most importantly parameters, buffers and submodules.reset
in class L1LossImplCloneable
public void pretty_print(@Cast(value="std::ostream*") @ByRef Pointer stream)
L1Loss
module into the given stream
.pretty_print
in class Module
@ByRef public L1LossOptions options()
Module
was constructed.public L1LossImpl options(L1LossOptions setter)
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