Struct GroupNormOptions

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Struct Documentation

struct torch::nn::GroupNormOptions

Options for the GroupNorm module.


GroupNorm model(GroupNormOptions(2, 2).eps(2e-5).affine(false));

Public Functions

GroupNormOptions(int64_t num_groups, int64_t num_channels)
auto num_groups(const int64_t &new_num_groups) -> decltype(*this)

number of groups to separate the channels into

auto num_groups(int64_t &&new_num_groups) -> decltype(*this)
const int64_t &num_groups() const noexcept
int64_t &num_groups() noexcept
auto num_channels(const int64_t &new_num_channels) -> decltype(*this)

number of channels expected in input

auto num_channels(int64_t &&new_num_channels) -> decltype(*this)
const int64_t &num_channels() const noexcept
int64_t &num_channels() noexcept
auto eps(const double &new_eps) -> decltype(*this)

a value added to the denominator for numerical stability. Default: 1e-5

auto eps(double &&new_eps) -> decltype(*this)
const double &eps() const noexcept
double &eps() noexcept
auto affine(const bool &new_affine) -> decltype(*this)

a boolean value that when set to true, this module has learnable per-channel affine parameters initialized to ones (for weights) and zeros (for biases).

Default: true.

auto affine(bool &&new_affine) -> decltype(*this)
const bool &affine() const noexcept
bool &affine() noexcept


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