Struct TripletMarginWithDistanceLossImpl¶
Defined in File loss.h
Page Contents
Inheritance Relationships¶
Base Type¶
public torch::nn::Cloneable< TripletMarginWithDistanceLossImpl >
(Template Class Cloneable)
Struct Documentation¶
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struct TripletMarginWithDistanceLossImpl : public torch::nn::Cloneable<TripletMarginWithDistanceLossImpl>¶
Creates a criterion that measures the triplet loss given input tensors :math:
a
, :math:p
, and :math:n
(representing anchor, positive, and negative examples, respectively); and a nonnegative, real-valued function (“distance function”) used to compute the relationships between the anchor and positive example (“positive distance”) and the anchor and negative example (“negative distance”).See https://pytorch.org/docs/main/nn.html#torch.nn.TripletMarginWithDistanceLoss to learn about the exact behavior of this module.
See the documentation for
torch::nn::TripletMarginWithDistanceLossOptions
class to learn what constructor arguments are supported for this module.Example:
TripletMarginWithDistanceLoss model(TripletMarginWithDistanceLossOptions().margin(3).swap(false));
Public Functions
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explicit TripletMarginWithDistanceLossImpl(TripletMarginWithDistanceLossOptions 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
TripletMarginWithDistanceLoss
module into the givenstream
.
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Tensor forward(const Tensor &anchor, const Tensor &positive, const Tensor &negative)¶
Public Members
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TripletMarginWithDistanceLossOptions options¶
The options with which this
Module
was constructed.
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explicit TripletMarginWithDistanceLossImpl(TripletMarginWithDistanceLossOptions options_ = {})¶