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Versions: 28
Compression:
Stored size: 962 Bytes
Contents
module Torch
module NN
class Linear < Module
def initialize(in_features, out_features, bias: true)
super()
@in_features = in_features
@out_features = out_features
@weight = Parameter.new(Tensor.new(out_features, in_features))
if bias
@bias = Parameter.new(Tensor.new(out_features))
else
register_parameter("bias", nil)
end
reset_parameters
end
def reset_parameters
Init.kaiming_uniform!(@weight, a: Math.sqrt(5))
if @bias
fan_in, _ = Init._calculate_fan_in_and_fan_out(@weight)
bound = 1 / Math.sqrt(fan_in)
Init.uniform!(@bias, a: -bound, b: bound)
end
end
def forward(input)
F.linear(input, @weight, @bias)
end
def extra_inspect
format("in_features: %s, out_features: %s, bias: %s", @in_features, @out_features, !@bias.nil?)
end
end
end
end
Version data entries
28 entries across 28 versions & 1 rubygems