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local BiasLayer = nerv.class("nerv.BiasLayer", "nerv.Layer")
function BiasLayer:__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 BiasLayer:bind_params()
self.bias = self:find_param("bias", self.lconf, self.gconf,
nerv.BiasParam,
{1, self.dim_out[1]},
nerv.Param.gen_zero)
if self.lconf.no_update_all then
self.bias.no_update = true
end
end
function BiasLayer:init()
if self.dim_in[1] ~= self.bias.trans:ncol() then
nerv.error("mismatching dimensions of input and bias parameter")
end
if self.dim_out[1] ~= self.bias.trans:ncol() then
nerv.error("mismatching dimensions of output and bias parameter")
end
end
function BiasLayer:batch_resize(batch_size)
-- do nothing
end
function BiasLayer:propagate(input, output)
output[1]:copy_from(input[1])
output[1]:add_row(self.bias.trans, 1.0)
end
function BiasLayer:get_params()
return nerv.ParamRepo({self.bias}, self.loc_type)
end
function BiasLayer:back_propagate()
end
function BiasLayer:update()
end
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