Class LocalResponseNormImpl#
Defined in File normalization.h
Page Contents
Inheritance Relationships#
Base Type#
public torch::nn::Cloneable< LocalResponseNormImpl >(Template Class Cloneable)
Class Documentation#
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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::LocalResponseNormOptionsclass 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
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inline LocalResponseNormImpl(int64_t size)#
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explicit LocalResponseNormImpl(const LocalResponseNormOptions &options_)#
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Tensor forward(const Tensor &input)#
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virtual void reset() override#
reset()must perform initialization of all members with reference semantics, most importantly parameters, buffers and submodules.
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virtual void pretty_print(std::ostream &stream) const override#
Pretty prints the
LocalResponseNormImplmodule into the givenstream.
Public Members
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LocalResponseNormOptions options#
The options with which this
Modulewas constructed.
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inline LocalResponseNormImpl(int64_t size)#
