Class UpsampleImpl
Defined in File upsampling.h
Page Contents
Inheritance Relationships
Base Type
public torch::nn::Cloneable< UpsampleImpl >
(Template Class Cloneable)
Class Documentation
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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
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explicit UpsampleImpl(UpsampleOptions options_ = {})
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virtual void reset() override
reset()
must perform initialization of all members with reference semantics, most importantly parameters, buffers and submodules.
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virtual void pretty_print(std::ostream &stream) const override
Pretty prints the
Upsample
module into the givenstream
.
Public Members
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UpsampleOptions options
The options with which this
Module
was constructed.
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explicit UpsampleImpl(UpsampleOptions options_ = {})