Contents

module Torch
  module NN
    class CosineEmbeddingLoss < Loss
      def initialize(margin: 0, reduction: "mean")
        super(reduction)
        @margin = margin
      end

      def forward(input1, input2, target)
        F.cosine_embedding_loss(input1, input2, target, margin: @margin, reduction: @reduction)
      end
    end
  end
end

Version data entries

55 entries across 55 versions & 1 rubygems

Version	Path
torch-rb-0.3.2	lib/torch/nn/cosine_embedding_loss.rb
torch-rb-0.3.1	lib/torch/nn/cosine_embedding_loss.rb
torch-rb-0.3.0	lib/torch/nn/cosine_embedding_loss.rb
torch-rb-0.2.7	lib/torch/nn/cosine_embedding_loss.rb
torch-rb-0.2.6	lib/torch/nn/cosine_embedding_loss.rb
torch-rb-0.2.5	lib/torch/nn/cosine_embedding_loss.rb
torch-rb-0.2.4	lib/torch/nn/cosine_embedding_loss.rb
torch-rb-0.2.3	lib/torch/nn/cosine_embedding_loss.rb
torch-rb-0.2.2	lib/torch/nn/cosine_embedding_loss.rb
torch-rb-0.2.1	lib/torch/nn/cosine_embedding_loss.rb
torch-rb-0.2.0	lib/torch/nn/cosine_embedding_loss.rb
torch-rb-0.1.8	lib/torch/nn/cosine_embedding_loss.rb
torch-rb-0.1.7	lib/torch/nn/cosine_embedding_loss.rb
torch-rb-0.1.6	lib/torch/nn/cosine_embedding_loss.rb
torch-rb-0.1.5	lib/torch/nn/cosine_embedding_loss.rb