Sha256: 7bcd24c8269b399c9c8458c299b152b1336fa23d94ccbcbf16c176454cfd5755

Contents?: true

Size: 340 Bytes

Versions: 55

Compression:

Stored size: 340 Bytes

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-0.18.0 lib/torch/nn/cosine_embedding_loss.rb
torch-rb-0.17.1 lib/torch/nn/cosine_embedding_loss.rb
torch-rb-0.17.0 lib/torch/nn/cosine_embedding_loss.rb
torch-rb-0.16.0 lib/torch/nn/cosine_embedding_loss.rb
torch-rb-0.15.0 lib/torch/nn/cosine_embedding_loss.rb
torch-rb-0.14.1 lib/torch/nn/cosine_embedding_loss.rb
torch-rb-0.14.0 lib/torch/nn/cosine_embedding_loss.rb
torch-rb-0.13.2 lib/torch/nn/cosine_embedding_loss.rb
torch-rb-0.13.1 lib/torch/nn/cosine_embedding_loss.rb
torch-rb-0.13.0 lib/torch/nn/cosine_embedding_loss.rb
torch-rb-0.12.2 lib/torch/nn/cosine_embedding_loss.rb
torch-rb-0.12.1 lib/torch/nn/cosine_embedding_loss.rb
torch-rb-0.12.0 lib/torch/nn/cosine_embedding_loss.rb
torch-rb-0.11.2 lib/torch/nn/cosine_embedding_loss.rb
torch-rb-0.11.1 lib/torch/nn/cosine_embedding_loss.rb
torch-rb-0.11.0 lib/torch/nn/cosine_embedding_loss.rb
torch-rb-0.10.2 lib/torch/nn/cosine_embedding_loss.rb
torch-rb-0.10.1 lib/torch/nn/cosine_embedding_loss.rb
torch-rb-0.10.0 lib/torch/nn/cosine_embedding_loss.rb
torch-rb-0.9.2 lib/torch/nn/cosine_embedding_loss.rb