diff options
Diffstat (limited to 'nerv/layer/softmax_ce.lua')
| -rw-r--r-- | nerv/layer/softmax_ce.lua | 16 |
1 files changed, 6 insertions, 10 deletions
diff --git a/nerv/layer/softmax_ce.lua b/nerv/layer/softmax_ce.lua index d7d650e..7b4a80c 100644 --- a/nerv/layer/softmax_ce.lua +++ b/nerv/layer/softmax_ce.lua @@ -1,15 +1,7 @@ local SoftmaxCELayer = nerv.class("nerv.SoftmaxCELayer", "nerv.Layer") function SoftmaxCELayer:__init(id, global_conf, layer_conf) - self.id = id - 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.dim_in = layer_conf.dim_in - self.dim_out = layer_conf.dim_out + nerv.Layer.__init(self, id, global_conf, layer_conf) self.compressed = layer_conf.compressed if self.compressed == nil then self.compressed = false @@ -17,6 +9,10 @@ function SoftmaxCELayer:__init(id, global_conf, layer_conf) self:check_dim_len(2, -1) -- two inputs: nn output and label end +function SoftmaxCELayer:bind_params() + -- do nothing +end + function SoftmaxCELayer:init(batch_size, chunk_size) if not self.compressed and (self.dim_in[1] ~= self.dim_in[2]) then nerv.error("mismatching dimensions of previous network output and labels") @@ -94,5 +90,5 @@ function SoftmaxCELayer:back_propagate(bp_err, next_bp_err, input, output, t) end function SoftmaxCELayer:get_params() - return nerv.ParamRepo({}) + return nerv.ParamRepo({}, self.loc_type) end |