Class ConvTranspose3dImpl

• Defined in File conv.h

Inheritance Relationships

Base Type

• public torch::nn::ConvTransposeNdImpl< 3, ConvTranspose3dImpl > (Template Class ConvTransposeNdImpl)

Class Documentation

class ConvTranspose3dImpl : public torch::nn::ConvTransposeNdImpl<3, ConvTranspose3dImpl>

Applies the ConvTranspose3d function.

See https://pytorch.org/docs/main/nn.html#torch.nn.ConvTranspose3d to learn about the exact behavior of this module.

See the documentation for torch::nn::ConvTranspose3dOptions class to learn what constructor arguments are supported for this module.

Example:

ConvTranspose3d model(ConvTranspose3dOptions(2, 2,
2).stride(1).bias(false));

Public Functions

inline ConvTranspose3dImpl(int64_t input_channels, int64_t output_channels, ExpandingArray<3> kernel_size)

explicit ConvTranspose3dImpl(ConvTranspose3dOptions options_)

Tensor forward(const Tensor &input, const std::optional<at::IntArrayRef> &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