Struct L1LossImpl

• Defined in File loss.h

Inheritance Relationships

Base Type

• public torch::nn::Cloneable< L1LossImpl > (Template Class Cloneable)

Struct Documentation

struct L1LossImpl : public torch::nn::Cloneable<L1LossImpl>

Creates a criterion that measures the mean absolute error (MAE) between each element in the input : math :x and target : y.

See https://pytorch.org/docs/main/nn.html#torch.nn.L1Loss to learn about the exact behavior of this module.

See the documentation for torch::nn::L1LossOptions class to learn what constructor arguments are supported for this module.

Example:

L1Loss model(L1LossOptions(torch::kNone));

Public Functions

explicit L1LossImpl(L1LossOptions 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 L1Loss module into the given stream.

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

Public Members

L1LossOptions options

The options with which this Module was constructed.