local ReluLayer = nerv.class('nerv.ReluLayer', 'nerv.Layer')

function ReluLayer:__init(id, global_conf, layer_conf)
    nerv.Layer.__init(self, id, global_conf, layer_conf)
    self:check_dim_len(1, 1)
end

function ReluLayer:bind_params()
end

function ReluLayer:init()
    if self.dim_in[1] ~= self.dim_out[1] then
        nerv.error('mismatching dimensions of input and output')
    end
end

function ReluLayer:batch_resize(batch_size)
end

function ReluLayer:update()
end

function ReluLayer:propagate(input, output)
    output[1]:relu(input[1])
end

function ReluLayer:back_propagate(bp_err, next_bp_err, input, output)
    next_bp_err[1]:relu_grad(bp_err[1], output[1])
end

function ReluLayer:get_params()
    return nerv.ParamRepo({}, self.loc_type)
end