@Namespace(value="torch::nn") @NoOffset @Properties(inherit=torch.class) public class NLLLossImpl extends NLLLossImplCloneable
C
classes.
See https://pytorch.org/docs/master/nn.html#torch.nn.NLLLoss to learn
about the exact behavior of this module.
See the documentation for torch::nn::NLLLossOptions
class to learn what
constructor arguments are supported for this module.
Example:
NLLLoss model(NLLLossOptions().ignore_index(-100).reduction(torch::kMean));
Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator, Pointer.ReferenceCounter
Constructor and Description |
---|
NLLLossImpl() |
NLLLossImpl(Module pointer)
Downcast constructor.
|
NLLLossImpl(NLLLossOptions options_) |
NLLLossImpl(Pointer p)
Pointer cast constructor.
|
Modifier and Type | Method and Description |
---|---|
Tensor |
forward(Tensor input,
Tensor target) |
NLLLossOptions |
options()
The options with which this
Module was constructed. |
NLLLossImpl |
options(NLLLossOptions setter) |
void |
pretty_print(Pointer stream)
Pretty prints the
NLLLoss module into the given stream . |
void |
reset()
reset() must perform initialization of all members with reference
semantics, most importantly parameters, buffers and submodules. |
Tensor |
weight()
A manual rescaling weight given to to each class.
|
NLLLossImpl |
weight(Tensor setter) |
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 NLLLossImpl(Pointer p)
Pointer(Pointer)
.public NLLLossImpl(Module pointer)
public NLLLossImpl(@ByVal(nullValue="torch::nn::NLLLossOptions{}") NLLLossOptions options_)
public NLLLossImpl()
public void pretty_print(@Cast(value="std::ostream*") @ByRef Pointer stream)
NLLLoss
module into the given stream
.pretty_print
in class Module
public void reset()
NLLLossImplCloneable
reset()
must perform initialization of all members with reference
semantics, most importantly parameters, buffers and submodules.reset
in class NLLLossImplCloneable
@ByRef public NLLLossOptions options()
Module
was constructed.public NLLLossImpl options(NLLLossOptions setter)
public NLLLossImpl weight(Tensor setter)
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