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local WindowLayer = nerv.class("nerv.WindowLayer", "nerv.Layer")
function WindowLayer:__init(id, global_conf, layer_conf)
self.id = id
self.gconf = global_conf
self.window = layer_conf.window
self.dim_in = layer_conf.dim_in
self.dim_out = layer_conf.dim_out
self:check_dim_len(1, 1)
end
function WindowLayer:init()
if self.dim_in[1] ~= self.window.trans:ncol() then
nerv.error("mismatching dimensions of input and window parameter")
end
if self.dim_out[1] ~= self.window.trans:ncol() then
nerv.error("mismatching dimensions of output and window parameter")
end
end
function WindowLayer:propagate(input, output)
output[1]:copy_fromd(input[1])
output[1]:scale_rows_by_row(self.window.trans)
end
function WindowLayer:get_params()
return {self.window}
end
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