Class UnflattenImpl#

Inheritance Relationships#

Class Documentation#

class UnflattenImpl : public torch::nn::Cloneable<UnflattenImpl>#

A placeholder for unflatten operator See https://pytorch.org/docs/main/generated/torch.nn.Unflatten.html to learn about the exact behavior of this module.

See the documentation for 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}}));

Public Functions

inline UnflattenImpl(int64_t dim, std::vector<int64_t> sizes)#

inline UnflattenImpl(std::string dimname, UnflattenOptions::namedshape_t namedshape)#

explicit UnflattenImpl(UnflattenOptions options_)#

virtual void reset() override#

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

virtual void pretty_print(std::ostream &stream) const override#

Pretty prints the Unflatten module into the given stream.

Tensor forward(const Tensor &input)#

Applies an unflatten transform on the input.

Public Members

UnflattenOptions options#

The options used to configure this module.