Struct MarginRankingLossImpl

• Defined in File loss.h

Inheritance Relationships

Base Type

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

Struct Documentation

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

Creates a criterion that measures the loss given inputs :math:x1, :math:x2, two 1D mini-batch Tensors, and a label 1D mini-batch tensor :math:y (containing 1 or -1).

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

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

Example:

MarginRankingLoss
model(MarginRankingLossOptions().margin(0.5).reduction(torch::kSum));

Public Functions

explicit MarginRankingLossImpl(MarginRankingLossOptions 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 MarginRankingLoss module into the given stream.

Tensor forward(const Tensor &input1, const Tensor &input2, const Tensor &targets)

Public Members

MarginRankingLossOptions options

The options with which this Module was constructed.