Struct MultiMarginLossImpl¶
Defined in File loss.h
Page Contents
Inheritance Relationships¶
Base Type¶
public torch::nn::Cloneable< MultiMarginLossImpl >
(Template Class Cloneable)
Struct Documentation¶
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struct 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-batchTensor
) 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/main/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
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explicit MultiMarginLossImpl(MultiMarginLossOptions 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
MultiMarginLoss
module into the givenstream
.
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Tensor forward(const Tensor &input, const Tensor &target)¶
Public Members
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MultiMarginLossOptions options¶
The options with which this
Module
was constructed.
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explicit MultiMarginLossImpl(MultiMarginLossOptions options_ = {})¶