Struct HingeEmbeddingLossImpl¶
Defined in File loss.h
Page Contents
Inheritance Relationships¶
Base Type¶
public torch::nn::Cloneable< HingeEmbeddingLossImpl >
(Template Class Cloneable)
Struct Documentation¶
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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
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explicit HingeEmbeddingLossImpl(HingeEmbeddingLossOptions options_ = {})¶
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virtual void reset() override¶
reset()
must perform initialization of all members with reference semantics, most importantly parameters, buffers and submodules.
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virtual void pretty_print(std::ostream &stream) const override¶
Pretty prints the
HingeEmbeddingLoss
module into the givenstream
.
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Tensor forward(const Tensor &input, const Tensor &target)¶
Public Members
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HingeEmbeddingLossOptions options¶
The options with which this
Module
was constructed.
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explicit HingeEmbeddingLossImpl(HingeEmbeddingLossOptions options_ = {})¶