Class: Torch::NN::LocalResponseNorm

Inherits:
Module
  • Object
show all
Defined in:
lib/torch/nn/local_response_norm.rb

Instance Attribute Summary

Attributes inherited from Module

#training

Instance Method Summary collapse

Methods inherited from Module

#_apply, #add_module, #apply, #buffers, #call, #children, #cpu, #cuda, #deep_dup, #double, #eval, #float, #half, #inspect, #load_state_dict, #method_missing, #modules, #named_buffers, #named_children, #named_modules, #named_parameters, #parameters, #register_buffer, #register_parameter, #requires_grad!, #respond_to?, #share_memory, #state_dict, #to, #train, #type, #zero_grad

Methods included from Utils

#_activation_fn, #_clones, #_ntuple, #_pair, #_quadrupal, #_single, #_triple

Constructor Details

#initialize(size, alpha: 1e-4, beta: 0.75, k: 1.0) ⇒ LocalResponseNorm

Returns a new instance of LocalResponseNorm.



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# File 'lib/torch/nn/local_response_norm.rb', line 4

def initialize(size, alpha: 1e-4, beta: 0.75, k: 1.0)
  super()
  @size = size
  @alpha = alpha
  @beta = beta
  @k = k
end

Dynamic Method Handling

This class handles dynamic methods through the method_missing method in the class Torch::NN::Module

Instance Method Details

#extra_inspect ⇒ Object 



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# File 'lib/torch/nn/local_response_norm.rb', line 16

def extra_inspect
  format("%{size}, alpha: %{alpha}, beta: %{beta}, k: %{k}", **dict)
end

#forward(input) ⇒ Object 



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# File 'lib/torch/nn/local_response_norm.rb', line 12

def forward(input)
  F.local_response_norm(input, @size, alpha: @alpha, beta: @beta, k: @k)
end