Rate this Page

Struct KLDivLossOptions#

Page Contents

Struct Documentation#

struct KLDivLossOptions#

Options for the KLDivLoss module.

Example:

KLDivLoss
model(KLDivLossOptions().reduction(torch::kNone).log_target(false));

Public Types

typedef std::variant<enumtype::kNone, enumtype::kBatchMean, enumtype::kSum, enumtype::kMean> reduction_t#

Public Functions

KLDivLossOptions() = default#
inline KLDivLossOptions(torch::enumtype::kNone reduction)#
inline KLDivLossOptions(torch::enumtype::kBatchMean reduction)#
inline KLDivLossOptions(torch::enumtype::kSum reduction)#
inline KLDivLossOptions(torch::enumtype::kMean reduction)#
inline auto reduction(const reduction_t &new_reduction) -> decltype(*this)#

Specifies the reduction to apply to the output.

'none' | 'batchmean' | 'sum' | 'mean'. Default: 'mean'

inline auto reduction(reduction_t &&new_reduction) -> decltype(*this)#
inline const reduction_t &reduction() const noexcept#
inline reduction_t &reduction() noexcept#
inline auto log_target(const bool &new_log_target) -> decltype(*this)#

Specifies whether target is accepted in the log space. Default: False.

inline auto log_target(bool &&new_log_target) -> decltype(*this)#
inline const bool &log_target() const noexcept#
inline bool &log_target() noexcept#