Class MaxUnpool1dImpl

• Defined in File pooling.h

Inheritance Relationships

Base Type

• public torch::nn::MaxUnpoolImpl< 1, MaxUnpool1dImpl > (Template Class MaxUnpoolImpl)

Class Documentation

class MaxUnpool1dImpl : public torch::nn::MaxUnpoolImpl<1, MaxUnpool1dImpl>

Applies maxunpool over a 1-D input.

See https://pytorch.org/docs/main/nn.html#torch.nn.MaxUnpool1d to learn about the exact behavior of this module.

See the documentation for torch::nn::MaxUnpool1dOptions class to learn what constructor arguments are supported for this module.

Example:

MaxUnpool1d model(MaxUnpool1dOptions(3).stride(2).padding(1));

Public Functions

Tensor forward(const Tensor &input, const Tensor &indices, const std::optional<std::vector<int64_t>> &output_size = std::nullopt)

Protected Functions

inline virtual bool _forward_has_default_args() override

The following three functions allow a module with default arguments in its forward method to be used in a Sequential module.

You should NEVER override these functions manually. Instead, you should use the FORWARD_HAS_DEFAULT_ARGS macro.

inline virtual unsigned int _forward_num_required_args() override

inline std::vector<torch::nn::AnyValue> _forward_populate_default_args(std::vector<torch::nn::AnyValue> &&arguments) override

Friends

friend struct torch::nn::AnyModuleHolder