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Class ThresholdImpl#

Inheritance Relationships#

Base Type#

Class Documentation#

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

Applies the Threshold function element-wise.

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

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

Example:

Threshold model(ThresholdOptions(42.42, 24.24).inplace(true));

Public Functions

inline ThresholdImpl(double threshold, double value)#
explicit ThresholdImpl(const ThresholdOptions &options_)#
Tensor forward(Tensor input)#
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 Threshold module into the given stream.

Public Members

ThresholdOptions options#

The options with which this Module was constructed.