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Class UpsampleImpl

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Base Type

Class Documentation

class torch::nn::UpsampleImpl : public torch::nn::Cloneable<UpsampleImpl>

Upsamples a given multi-channel 1D (temporal), 2D (spatial) or 3D (volumetric) data.

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

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

Example:

Upsample model(UpsampleOptions().scale_factor({3}).mode(torch::kLinear).align_corners(false));

Public Functions

UpsampleImpl(const UpsampleOptions &options_ = {})
void reset() override

reset() must perform initialization of all members with reference semantics, most importantly parameters, buffers and submodules.

void pretty_print(std::ostream &stream) const override

Pretty prints the Upsample module into the given stream.

Tensor forward(const Tensor &input)

Public Members

UpsampleOptions options

The options with which this Module was constructed.

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