Class: Torch::NN::MaxPoolNd

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

Direct Known Subclasses

MaxPool1d, MaxPool2d, MaxPool3d

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, #forward, #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(kernel_size, stride: nil, padding: 0, dilation: 1, return_indices: false, ceil_mode: false) ⇒ MaxPoolNd

Returns a new instance of MaxPoolNd.



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

def initialize(kernel_size, stride: nil, padding: 0, dilation: 1, return_indices: false, ceil_mode: false)
  super()
  @kernel_size = kernel_size
  @stride = stride || kernel_size
  @padding = padding
  @dilation = dilation
  @return_indices = return_indices
  @ceil_mode = ceil_mode
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/max_poolnd.rb', line 14

def extra_inspect
  s = "kernel_size: %{kernel_size}, stride: %{stride}, padding: %{padding}, dilation: %{dilation}, ceil_mode: %{ceil_mode}"
  format(s, **dict)
end