Shortcuts

Struct MultiLabelSoftMarginLossImpl

Inheritance Relationships

Base Type

Struct Documentation

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

Creates a criterion that optimizes a multi-label one-versus-all loss based on max-entropy, between input :math:x and target :math:y of size :math:(N, C).

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

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

Example:

MultiLabelSoftMarginLoss model(MultiLabelSoftMarginLossOptions().reduction(torch::kNone).weight(weight));

Public Functions

MultiLabelSoftMarginLossImpl(const MultiLabelSoftMarginLossOptions &options_ = {})
void pretty_print(std::ostream &stream) const override

Pretty prints the MultiLabelSoftMarginLoss module into the given stream.

void reset() override

reset() must perform initialization of all members with reference semantics, most importantly parameters, buffers and submodules.

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

Public Members

MultiLabelSoftMarginLossOptions options

The options with which this Module was constructed.

Docs

Access comprehensive developer documentation for PyTorch

View Docs

Tutorials

Get in-depth tutorials for beginners and advanced developers

View Tutorials

Resources

Find development resources and get your questions answered

View Resources