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Class LocalResponseNormImpl#

Inheritance Relationships#

Base Type#

Class Documentation#

class LocalResponseNormImpl : public torch::nn::Cloneable<LocalResponseNormImpl>#

Applies local response normalization over an input signal composed of several input planes, where channels occupy the second dimension.

Applies normalization across channels. See https://pytorch.org/docs/main/nn.html#torch.nn.LocalResponseNorm to learn about the exact behavior of this module.

See the documentation for torch::nn::LocalResponseNormOptions class to learn what constructor arguments are supported for this module.

Example:

LocalResponseNorm
model(LocalResponseNormOptions(2).alpha(0.0002).beta(0.85).k(2.));

Public Functions

inline LocalResponseNormImpl(int64_t size)#
explicit LocalResponseNormImpl(const LocalResponseNormOptions &options_)#
Tensor forward(const Tensor &input)#
virtual void reset() override#

reset() must perform initialization of all members with reference semantics, most importantly parameters, buffers and submodules.

virtual void pretty_print(std::ostream &stream) const override#

Pretty prints the LocalResponseNormImpl module into the given stream.

Public Members

LocalResponseNormOptions options#

The options with which this Module was constructed.