Struct CrossEntropyLossOptions¶
Defined in File loss.h
Page Contents
Struct Documentation¶
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struct CrossEntropyLossOptions¶
Options for the
CrossEntropyLoss
module.Example:
CrossEntropyLoss model(CrossEntropyLossOptions().ignore_index(-100).reduction(torch::kMean));
Public Functions
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inline 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
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inline auto weight(Tensor &&new_weight) -> decltype(*this)¶
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inline const Tensor &weight() const noexcept¶
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inline Tensor &weight() noexcept¶
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inline 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.
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inline auto ignore_index(int64_t &&new_ignore_index) -> decltype(*this)¶
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inline const int64_t &ignore_index() const noexcept¶
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inline int64_t &ignore_index() noexcept¶
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inline auto reduction(const reduction_t &new_reduction) -> decltype(*this)¶
Specifies the reduction to apply to the output. 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 label_smoothing(const double &new_label_smoothing) -> decltype(*this)¶
Specifies the amount of smoothing when computing the loss. Default: 0.0.
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inline auto label_smoothing(double &&new_label_smoothing) -> decltype(*this)¶
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inline const double &label_smoothing() const noexcept¶
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inline double &label_smoothing() noexcept¶
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inline auto weight(const Tensor &new_weight) -> decltype(*this)¶