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local LinearTransParam = nerv.class('nerv.LinearTransParam', 'nerv.Param')
local BiasParam = nerv.class('nerv.BiasParam', 'nerv.LinearTransParam')
local AffineLayer = nerv.class('nerv.AffineLayer', 'nerv.Layer')
function LinearTransParam:read(pcdata)
self.trans = nerv.CuMatrixFloat.new_from_host(nerv.MMatrixFloat.load(pcdata))
end
function LinearTransParam:write(pfhandle)
self.trans:new_to_host():save(pfhandle)
end
function AffineLayer:__init(id, global_conf, ltp, bp)
self.ltp = ltp
self.bp = bp
self.gconf = global_conf
-- linear transform correction
self.ltc = ltp:create()
self.ltc:fill(0)
-- bias correction
self.bc = bp:create()
self.bc:fill(0)
end
function nerv.AffineLayer:update(input, output)
-- momentum gain --
mmt_gain = 1.0 / (1.0 - gconf.momentum);
n = input.nrow() * mmt_gain
-- ltc =
end
function nerv.AffineLayer:propagate(input, output)
-- apply linear transform
output:mul(input, self.ltp, 'N', 'N')
-- add bias
output:add_row(self.bp, 1.0)
end
function nerv.AffineLayer:back_propagate(next_bp_err, bp_err, input, output)
next_bp_err:mul(bp_err, self.ltp, 'N', 'T')
end
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