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local ElemMulLayer = nerv.class('nerv.ElemMulLayer', 'nerv.Layer')
function ElemMulLayer:__init(id, global_conf, layer_conf)
nerv.Layer.__init(self, id, global_conf, layer_conf)
-- element-wise multiplication of input[1] and input[2]
self:check_dim_len(2, 1)
end
function ElemMulLayer:bind_params()
-- do nothing
end
function ElemMulLayer:init(batch_size)
if self.dim_in[1] ~= self.dim_in[2] or
self.dim_in[1] ~= self.dim_out[1] then
nerv.error("mismatching dimensions of input and output")
end
end
function ElemMulLayer:batch_resize(batch_size)
-- do nothing
end
function ElemMulLayer:propagate(input, output)
output[1]:mul_elem(input[1], input[2])
end
function ElemMulLayer:back_propagate(bp_err, next_bp_err, input, output)
next_bp_err[1]:mul_elem(bp_err[1], input[2])
next_bp_err[2]:mul_elem(bp_err[1], input[1])
end
function ElemMulLayer:update(bp_err, input, output)
-- do nothing
end
function ElemMulLayer:get_params()
return nerv.ParamRepo({}, self.loc_type)
end
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