Struct KLDivLossOptions#
Defined in File loss.h
Page Contents
Struct Documentation#
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struct KLDivLossOptions#
Options for the
KLDivLoss
module.Example:
KLDivLoss model(KLDivLossOptions().reduction(torch::kNone).log_target(false));
Public Types
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typedef std::variant<enumtype::kNone, enumtype::kBatchMean, enumtype::kSum, enumtype::kMean> reduction_t#
Public Functions
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KLDivLossOptions() = default#
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inline KLDivLossOptions(torch::enumtype::kBatchMean reduction)#
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inline auto reduction(const reduction_t &new_reduction) -> decltype(*this)#
Specifies the reduction to apply to the output.
'none'
|'batchmean'
|'sum'
|'mean'
. Default:'mean'
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inline auto reduction(reduction_t &&new_reduction) -> decltype(*this)#
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inline const reduction_t &reduction() const noexcept#
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inline reduction_t &reduction() noexcept#
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inline auto log_target(const bool &new_log_target) -> decltype(*this)#
Specifies whether
target
is accepted in the log space. Default: False.
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inline auto log_target(bool &&new_log_target) -> decltype(*this)#
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inline const bool &log_target() const noexcept#
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inline bool &log_target() noexcept#
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typedef std::variant<enumtype::kNone, enumtype::kBatchMean, enumtype::kSum, enumtype::kMean> reduction_t#