Sha256: 3297118c02d53d73e98fe9ee5467da3b9950a0fa5b1f66139805148d34cf479e

Contents?: true

Size: 259 Bytes

Versions: 55

Compression:

Stored size: 259 Bytes

Contents

module Torch
  module NN
    class SoftMarginLoss < Loss
      def initialize(reduction: "mean")
        super(reduction)
      end

      def forward(input, target)
        F.soft_margin_loss(input, target, 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/soft_margin_loss.rb
torch-rb-0.3.1 lib/torch/nn/soft_margin_loss.rb
torch-rb-0.3.0 lib/torch/nn/soft_margin_loss.rb
torch-rb-0.2.7 lib/torch/nn/soft_margin_loss.rb
torch-rb-0.2.6 lib/torch/nn/soft_margin_loss.rb
torch-rb-0.2.5 lib/torch/nn/soft_margin_loss.rb
torch-rb-0.2.4 lib/torch/nn/soft_margin_loss.rb
torch-rb-0.2.3 lib/torch/nn/soft_margin_loss.rb
torch-rb-0.2.2 lib/torch/nn/soft_margin_loss.rb
torch-rb-0.2.1 lib/torch/nn/soft_margin_loss.rb
torch-rb-0.2.0 lib/torch/nn/soft_margin_loss.rb
torch-rb-0.1.8 lib/torch/nn/soft_margin_loss.rb
torch-rb-0.1.7 lib/torch/nn/soft_margin_loss.rb
torch-rb-0.1.6 lib/torch/nn/soft_margin_loss.rb
torch-rb-0.1.5 lib/torch/nn/soft_margin_loss.rb