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Class FlattenImpl#

Inheritance Relationships#

Base Type#

Class Documentation#

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

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

See the documentation for torch::nn::FlattenOptions class to learn what constructor arguments are supported for this module.

Example:

Flatten model(FlattenOptions().start_dim(2).end_dim(4));

Public Functions

explicit FlattenImpl(const FlattenOptions &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 Flatten module into the given stream.

Tensor forward(const Tensor &input)#

Applies a flatten transform on the input.

Public Members

FlattenOptions options#

The options used to configure this module.