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Struct CrossEntropyLossImpl

Inheritance Relationships

Base Type

Struct Documentation

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

Creates a criterion that computes cross entropy loss between input and target.

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

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

Example:

CrossEntropyLoss model(CrossEntropyLossOptions().ignore_index(-100).reduction(torch::kMean));

Public Functions

CrossEntropyLossImpl(const CrossEntropyLossOptions &options_ = {})
void reset() override

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

void pretty_print(std::ostream &stream) const override

Pretty prints the CrossEntropyLoss module into the given stream.

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

Public Members

CrossEntropyLossOptions options

The options with which this Module was constructed.

Tensor weight

A manual rescaling weight given to to each class.

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