Struct HingeEmbeddingLossImpl#

Inheritance Relationships#

Struct Documentation#

struct 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/main/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

explicit HingeEmbeddingLossImpl(HingeEmbeddingLossOptions 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 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.