Struct CrossEntropyLossOptions

• Defined in File loss.h

Struct Documentation

struct torch::nn::CrossEntropyLossOptions

Options for the CrossEntropyLoss module.

Example:

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

Public Types

typedef c10::variant<enumtype::kNone, enumtype::kMean, enumtype::kSum> reduction_t

Public Functions

auto weight(const Tensor &new_weight) -> decltype(*this)

A manual rescaling weight given to each class.

If given, has to be a Tensor of size C

auto weight(Tensor &&new_weight) -> decltype(*this)

const Tensor &weight() const noexcept

Tensor &weight() noexcept

auto ignore_index(const int64_t &new_ignore_index) -> decltype(*this)

Specifies a target value that is ignored and does not contribute to the input gradient.

auto ignore_index(int64_t &&new_ignore_index) -> decltype(*this)

const int64_t &ignore_index() const noexcept

int64_t &ignore_index() noexcept

auto reduction(const reduction_t &new_reduction) -> decltype(*this)

Specifies the reduction to apply to the output. Default: Mean.

auto reduction(reduction_t &&new_reduction) -> decltype(*this)

const reduction_t &reduction() const noexcept

reduction_t &reduction() noexcept

auto label_smoothing(const double &new_label_smoothing) -> decltype(*this)

Specifies the amount of smoothing when computing the loss. Default: 0.0.

auto label_smoothing(double &&new_label_smoothing) -> decltype(*this)

const double &label_smoothing() const noexcept

double &label_smoothing() noexcept