@Namespace(value="torch::nn") @NoOffset @Properties(inherit=torch.class) public class UnflattenImpl extends UnflattenImplCloneable
torch::nn::UnflattenOptions class to learn what
constructor arguments are supported for this module.
Example:
Unflatten model(UnflattenOptions(0, {2, 2}));
Unflatten model(UnflattenOptions("B", {{"B1", 2}, {"B2", 2}}));
Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator, Pointer.ReferenceCounter| Constructor and Description |
|---|
UnflattenImpl(BytePointer dimname,
StringLongVector namedshape) |
UnflattenImpl(long dim,
LongVector sizes) |
UnflattenImpl(Module pointer)
Downcast constructor.
|
UnflattenImpl(Pointer p)
Pointer cast constructor.
|
UnflattenImpl(String dimname,
StringLongVector namedshape) |
UnflattenImpl(UnflattenOptions options_) |
| Modifier and Type | Method and Description |
|---|---|
Tensor |
forward(Tensor input)
Applies an unflatten transform on the
input. |
UnflattenOptions |
options()
The options used to configure this module.
|
UnflattenImpl |
options(UnflattenOptions setter) |
void |
pretty_print(Pointer stream)
Pretty prints the
Unflatten 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, 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 UnflattenImpl(Pointer p)
Pointer(Pointer).public UnflattenImpl(Module pointer)
public UnflattenImpl(@Cast(value="int64_t") long dim, @ByVal @Cast(value="std::vector<int64_t>*") LongVector sizes)
public UnflattenImpl(@StdString BytePointer dimname, @ByVal @Cast(value="torch::nn::UnflattenOptions::namedshape_t*") StringLongVector namedshape)
public UnflattenImpl(@StdString String dimname, @ByVal @Cast(value="torch::nn::UnflattenOptions::namedshape_t*") StringLongVector namedshape)
public UnflattenImpl(@ByVal UnflattenOptions options_)
public void reset()
UnflattenImplCloneablereset() must perform initialization of all members with reference
semantics, most importantly parameters, buffers and submodules.reset in class UnflattenImplCloneablepublic void pretty_print(@Cast(value="std::ostream*") @ByRef Pointer stream)
Unflatten module into the given stream.pretty_print in class Module@ByVal public Tensor forward(@Const @ByRef Tensor input)
input.@ByRef public UnflattenOptions options()
public UnflattenImpl options(UnflattenOptions setter)
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