Struct MultiLabelSoftMarginLossImpl

• Defined in File loss.h

Inheritance Relationships

Base Type

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

Struct Documentation

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

Creates a criterion that optimizes a multi-label one-versus-all loss based on max-entropy, between input :math:x and target :math:y of size :math:(N, C).

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

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

Example:

MultiLabelSoftMarginLoss
model(MultiLabelSoftMarginLossOptions().reduction(torch::kNone).weight(weight));

Public Functions

explicit MultiLabelSoftMarginLossImpl(MultiLabelSoftMarginLossOptions options_ = {})

virtual void pretty_print(std::ostream &stream) const override

Pretty prints the MultiLabelSoftMarginLoss module into the given stream.

virtual void reset() override

reset() must perform initialization of all members with reference semantics, most importantly parameters, buffers and submodules.

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

Public Members

MultiLabelSoftMarginLossOptions options

The options with which this Module was constructed.