diff options
Diffstat (limited to 'nerv/layer/combiner.lua')
| -rw-r--r-- | nerv/layer/combiner.lua | 16 |
1 files changed, 6 insertions, 10 deletions
diff --git a/nerv/layer/combiner.lua b/nerv/layer/combiner.lua index 22e89a9..028c970 100644 --- a/nerv/layer/combiner.lua +++ b/nerv/layer/combiner.lua @@ -1,16 +1,8 @@ local CombinerLayer = nerv.class('nerv.CombinerLayer', 'nerv.Layer') function CombinerLayer:__init(id, global_conf, layer_conf) - self.id = id + nerv.Layer.__init(self, id, global_conf, layer_conf) self.lambda = layer_conf.lambda - self.dim_in = layer_conf.dim_in - self.dim_out = layer_conf.dim_out - self.gconf = global_conf - if self.gconf.use_cpu then - self.mat_type = self.gconf.mmat_type - else - self.mat_type = self.gconf.cumat_type - end self:check_dim_len(#self.lambda, -1) if #self.dim_in < 1 then nerv.error("no input specified") @@ -20,6 +12,10 @@ function CombinerLayer:__init(id, global_conf, layer_conf) end end +function CombinerLayer:bind_params() + -- do nothing +end + function CombinerLayer:init(batch_size) local dim = self.dim_in[1] for i = 2, #self.dim_in do @@ -66,5 +62,5 @@ function CombinerLayer:back_propagate(bp_err, next_bp_err, input, output) end function CombinerLayer:get_params() - return nerv.ParamRepo({}) + return nerv.ParamRepo({}, self.loc_type) end |