Struct BatchNormOptions#
Defined in File batchnorm.h
Page Contents
Struct Documentation#
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struct BatchNormOptions#
Options for the
BatchNorm
module.Public Functions
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BatchNormOptions(int64_t num_features)#
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inline auto num_features(const int64_t &new_num_features) -> decltype(*this)#
The number of features of the input tensor.
Changing this parameter after construction has no effect.
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inline auto num_features(int64_t &&new_num_features) -> decltype(*this)#
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inline const int64_t &num_features() const noexcept#
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inline int64_t &num_features() noexcept#
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inline auto eps(const double &new_eps) -> decltype(*this)#
The epsilon value added for numerical stability.
Changing this parameter after construction is effective.
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inline auto eps(double &&new_eps) -> decltype(*this)#
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inline const double &eps() const noexcept#
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inline double &eps() noexcept#
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inline auto momentum(const std::optional<double> &new_momentum) -> decltype(*this)#
A momentum multiplier for the mean and variance.
Changing this parameter after construction is effective.
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inline auto momentum(std::optional<double> &&new_momentum) -> decltype(*this)#
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inline const std::optional<double> &momentum() const noexcept#
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inline std::optional<double> &momentum() noexcept#
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inline auto affine(const bool &new_affine) -> decltype(*this)#
Whether to learn a scale and bias that are applied in an affine transformation on the input.
Changing this parameter after construction has no effect.
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inline auto affine(bool &&new_affine) -> decltype(*this)#
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inline const bool &affine() const noexcept#
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inline bool &affine() noexcept#
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inline auto track_running_stats(const bool &new_track_running_stats) -> decltype(*this)#
Whether to store and update batch statistics (mean and variance) in the module.
Changing this parameter after construction has no effect.
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inline auto track_running_stats(bool &&new_track_running_stats) -> decltype(*this)#
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inline const bool &track_running_stats() const noexcept#
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inline bool &track_running_stats() noexcept#
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BatchNormOptions(int64_t num_features)#