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Class FoldImpl#

Inheritance Relationships#

Base Type#

Class Documentation#

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

Applies fold over a 3-D input.

See https://pytorch.org/docs/main/nn.html#torch.nn.Fold to learn about the exact behavior of this module.

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

Example:

Fold model(FoldOptions({8, 8}, {3, 3}).dilation(2).padding({2,
1}).stride(2));

Public Functions

inline FoldImpl(ExpandingArray<2> output_size, ExpandingArray<2> kernel_size)#
explicit FoldImpl(const FoldOptions &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 Fold module into the given stream.

Tensor forward(const Tensor &input)#

Public Members

FoldOptions options#

The options with which this Module was constructed.