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Struct PoissonNLLLossImpl

Inheritance Relationships

Base Type

Struct Documentation

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

Negative log likelihood loss with Poisson distribution of target.

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

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

Example:

PoissonNLLLoss model(PoissonNLLLossOptions().log_input(false).full(true).eps(0.42).reduction(torch::kSum));

Public Functions

PoissonNLLLossImpl(const PoissonNLLLossOptions &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 PoissonNLLLoss module into the given stream.

Tensor forward(const Tensor &log_input, const Tensor &targets)

Public Members

PoissonNLLLossOptions options

The options with which this Module was constructed.

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