Class UnflattenImpl

• Defined in File linear.h

Inheritance Relationships

Base Type

• public torch::nn::Cloneable< UnflattenImpl > (Template Class Cloneable)

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.