Class UpsampleImpl¶
Defined in File upsampling.h
Page Contents
Inheritance Relationships¶
Base Type¶
public torch::nn::Cloneable< UpsampleImpl >
(Template Class Cloneable)
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(const 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 givenstream
.
-
Tensor forward(const Tensor &input)¶
Public Members
-
UpsampleOptions options¶
The options with which this
Module
was constructed.
-
explicit UpsampleImpl(const UpsampleOptions &options_ = {})¶