diff options
Diffstat (limited to 'nerv/layer/dropout.lua')
| -rw-r--r-- | nerv/layer/dropout.lua | 16 |
1 files changed, 6 insertions, 10 deletions
diff --git a/nerv/layer/dropout.lua b/nerv/layer/dropout.lua index 42660cc..1a379c9 100644 --- a/nerv/layer/dropout.lua +++ b/nerv/layer/dropout.lua @@ -1,22 +1,18 @@ local DropoutLayer = nerv.class("nerv.DropoutLayer", "nerv.Layer") function DropoutLayer:__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 + nerv.Layer.__init(self, id, global_conf, layer_conf) self.rate = layer_conf.dropout_rate or global_conf.dropout_rate if self.rate == nil then nerv.warning("[DropoutLayer:propagate] dropout rate is not set") end - self.dim_in = layer_conf.dim_in - self.dim_out = layer_conf.dim_out self:check_dim_len(1, 1) -- two inputs: nn output and label end +function DropoutLayer:bind_params() + -- do nothing +end + function DropoutLayer:init(batch_size, chunk_size) if self.dim_in[1] ~= self.dim_out[1] then nerv.error("mismatching dimensions of input and output") @@ -73,5 +69,5 @@ function DropoutLayer:back_propagate(bp_err, next_bp_err, input, output, t) end function DropoutLayer:get_params() - return nerv.ParamRepo({}) + return nerv.ParamRepo({}, self.loc_type) end |