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Class LocalResponseNormImpl

Inheritance Relationships

Base Type

Class Documentation

class torch::nn::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/master/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

LocalResponseNormImpl(int64_t size)
LocalResponseNormImpl(const LocalResponseNormOptions &options_)
Tensor forward(const Tensor &input)
void reset() override

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

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.

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