Struct HuberLossImpl

• Defined in File loss.h

Inheritance Relationships

Base Type

• public torch::nn::Cloneable< HuberLossImpl > (Template Class Cloneable)

Struct Documentation

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

explicit HuberLossImpl(HuberLossOptions 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 HuberLoss module into the given stream.

Tensor forward(const Tensor &input, const Tensor &target)

Public Members

HuberLossOptions options

The options with which this Module was constructed.