@Namespace(value="torch::nn") @NoOffset @Properties(inherit=torch.class) public class LinearImpl extends LinearImplCloneable
torch::nn::LinearOptions class to learn what
constructor arguments are supported for this module.
Example:
Linear model(LinearOptions(5, 2).bias(false));
Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator, Pointer.ReferenceCounter| Constructor and Description |
|---|
LinearImpl(LinearOptions options_) |
LinearImpl(long in_features,
long out_features) |
LinearImpl(Module pointer)
Downcast constructor.
|
LinearImpl(Pointer p)
Pointer cast constructor.
|
| Modifier and Type | Method and Description |
|---|---|
Tensor |
bias()
The learned bias.
|
LinearImpl |
bias(Tensor setter) |
Tensor |
forward(Tensor input)
Transforms the
input tensor by multiplying with the weight and
optionally adding the bias, if with_bias is true in the options. |
LinearOptions |
options()
The options used to configure this module.
|
LinearImpl |
options(LinearOptions setter) |
void |
pretty_print(Pointer stream)
Pretty prints the
Linear module into the given stream. |
void |
reset_parameters() |
void |
reset()
reset() must perform initialization of all members with reference
semantics, most importantly parameters, buffers and submodules. |
Tensor |
weight()
The learned weight.
|
LinearImpl |
weight(Tensor setter) |
asModule, asModule, clone, cloneapply, 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_gradaddress, 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, zeropublic LinearImpl(Pointer p)
Pointer(Pointer).public LinearImpl(Module pointer)
public LinearImpl(@Cast(value="int64_t") long in_features, @Cast(value="int64_t") long out_features)
public LinearImpl(@Const @ByRef LinearOptions options_)
public void reset()
LinearImplCloneablereset() must perform initialization of all members with reference
semantics, most importantly parameters, buffers and submodules.reset in class LinearImplCloneablepublic void reset_parameters()
public void pretty_print(@Cast(value="std::ostream*") @ByRef Pointer stream)
Linear module into the given stream.pretty_print in class Module@ByVal public Tensor forward(@Const @ByRef Tensor input)
input tensor by multiplying with the weight and
optionally adding the bias, if with_bias is true in the options.@ByRef public LinearOptions options()
public LinearImpl options(LinearOptions setter)
public LinearImpl weight(Tensor setter)
@ByRef public Tensor bias()
bias is false in the options, this tensor is
undefined.public LinearImpl bias(Tensor setter)
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