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Struct MultiMarginLossImpl

Inheritance Relationships

Base Type

Struct Documentation

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

Creates a criterion that optimizes a multi-class classification hinge loss (margin-based loss) between input :math:x (a 2D mini-batch Tensor) and output :math:y (which is a 1D tensor of target class indices, :math:0 \leq y \leq \text{x.size}(1)-1).

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

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

Example:

MultiMarginLoss model(MultiMarginLossOptions().margin(2).weight(weight));

Public Functions

MultiMarginLossImpl(const MultiMarginLossOptions &options_ = {})
void reset() override

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

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

Pretty prints the MultiMarginLoss module into the given stream.

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

Public Members

MultiMarginLossOptions options

The options with which this Module was constructed.

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