Class: Torch::NN::MultiMarginLoss

Inherits:
WeightedLoss show all
Defined in:
lib/torch/nn/multi_margin_loss.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(p: 1, margin: 1.0, weight: nil, reduction: "mean") ⇒ MultiMarginLoss

Returns a new instance of MultiMarginLoss.

Raises:

  • (ArgumentError) 


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

def initialize(p: 1, margin: 1.0, weight: nil, reduction: "mean")
  super(weight, reduction)
  raise ArgumentError, "only p == 1 and p == 2 supported" if p != 1 && p != 2
  raise ArgumentError, "weight must be nil or have one dimension" unless weight.nil? || weight.dim == 1
  @p = p
  @margin = margin
end

Dynamic Method Handling

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

Instance Method Details

#forward(input, target) ⇒ Object 



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

def forward(input, target)
  F.multi_margin_loss(input, target, p: @p, margin: @margin, weight: @weight, reduction: @reduction)
end