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local WindowLayer = nerv.class("nerv.WindowLayer", "nerv.Layer")
function WindowLayer:__init(id, global_conf, layer_conf)
nerv.Layer.__init(self, id, global_conf, layer_conf)
self:check_dim_len(1, 1)
self:bind_params()
end
function WindowLayer:bind_params()
self.window = self:find_param("window", self.lconf, self.gconf,
nerv.BiasParam,
{1, self.dim_out[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:batch_resize(batch_size)
-- do nothing
end
function WindowLayer:propagate(input, output)
output[1]:copy_from(input[1])
output[1]:scale_rows_by_row(self.window.trans)
end
function WindowLayer:get_params()
return nerv.ParamRepo({self.window}, self.loc_type)
end
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