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Struct HingeEmbeddingLossImpl

Inheritance Relationships

Base Type

Struct Documentation

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

Creates a criterion that measures the loss given an input tensor :math:x and a labels tensor :math:y (containing 1 or -1).

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

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

Example:

HingeEmbeddingLoss model(HingeEmbeddingLossOptions().margin(4).reduction(torch::kNone));

Public Functions

HingeEmbeddingLossImpl(const HingeEmbeddingLossOptions &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 HingeEmbeddingLoss module into the given stream.

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

Public Members

HingeEmbeddingLossOptions options

The options with which this Module was constructed.

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