Struct CrossEntropyLossImpl#

Inheritance Relationships#

Struct Documentation#

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

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

See https://pytorch.org/docs/main/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

explicit CrossEntropyLossImpl(CrossEntropyLossOptions options_ = {})#

virtual void reset() override#

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

virtual 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.