Struct HuberLossImpl¶
Defined in File loss.h
Page Contents
Inheritance Relationships¶
Base Type¶
public torch::nn::Cloneable< HuberLossImpl >
(Template Class Cloneable)
Struct Documentation¶
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struct HuberLossImpl : public torch::nn::Cloneable<HuberLossImpl>¶
Creates a criterion that uses a squared term if the absolute element-wise error falls below delta and a delta-scaled L1 term otherwise.
See https://pytorch.org/docs/main/nn.html#torch.nn.HuberLoss to learn about the exact behavior of this module.
See the documentation for
torch::nn::HuberLossOptions
class to learn what constructor arguments are supported for this module.Example:
HuberLoss model(HuberLossOptions().reduction(torch::kNone).delta(0.5));
Public Functions
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explicit HuberLossImpl(HuberLossOptions 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
HuberLoss
module into the givenstream
.
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Tensor forward(const Tensor &input, const Tensor &target)¶
Public Members
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HuberLossOptions options¶
The options with which this
Module
was constructed.
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explicit HuberLossImpl(HuberLossOptions options_ = {})¶