Sha256: 80829c7b300a4f29975ee40028fcc5a136e3c8fac6b13cbedef39a00a90738aa
Contents?: true
Size: 584 Bytes
Versions: 55
Compression:
Stored size: 584 Bytes
Contents
module Torch
module NN
class MultiMarginLoss < WeightedLoss
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
def forward(input, target)
F.multi_margin_loss(input, target, p: @p, margin: @margin, weight: @weight, reduction: @reduction)
end
end
end
end
Version data entries
55 entries across 55 versions & 1 rubygems