Class UpsampleImpl#

Inheritance Relationships#

Class Documentation#

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

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

See https://pytorch.org/docs/main/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

explicit UpsampleImpl(UpsampleOptions 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 Upsample module into the given stream.

Tensor forward(const Tensor &input)#

Public Members

UpsampleOptions options#

The options with which this Module was constructed.