Struct PoissonNLLLossImpl

• Defined in File loss.h

Inheritance Relationships

Base Type

• public torch::nn::Cloneable< PoissonNLLLossImpl > (Template Class Cloneable)

Struct Documentation

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

Negative log likelihood loss with Poisson distribution of target.

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

explicit PoissonNLLLossImpl(PoissonNLLLossOptions 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 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.