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Struct MultiLabelSoftMarginLossImpl#

Inheritance Relationships#

Base Type#

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.