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Class ConvTranspose1dImpl

Inheritance Relationships

Base Type

Class Documentation

class torch::nn::ConvTranspose1dImpl : public torch::nn::ConvTransposeNdImpl<1, ConvTranspose1dImpl>

Applies the ConvTranspose1d function.

See https://pytorch.org/docs/master/nn.html#torch.nn.ConvTranspose1d to learn about the exact behavior of this module.

See the documentation for torch::nn::ConvTranspose1dOptions class to learn what constructor arguments are supported for this module.

Example:

ConvTranspose1d model(ConvTranspose1dOptions(3, 2, 3).stride(1).bias(false));

Public Functions

ConvTranspose1dImpl(int64_t input_channels, int64_t output_channels, ExpandingArray<1> kernel_size)
ConvTranspose1dImpl(ConvTranspose1dOptions options_)
Tensor forward(const Tensor &input, const c10::optional<at::IntArrayRef> &output_size = c10::nullopt)

Protected Functions

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.

unsigned int _forward_num_required_args() override
std::vector<torch::nn::AnyValue> _forward_populate_default_args(std::vector<torch::nn::AnyValue> &&arguments) override

Friends

friend struct torch::nn::AnyModuleHolder

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