1 files changed, 0 insertions, 52 deletions
diff --git a/layer/mse.lua b/layer/mse.lua
deleted file mode 100644
index 9a97add..0000000
--- a/layer/mse.lua
+++ /dev/null
@@ -1,52 +0,0 @@
-local MSELayer = nerv.class("nerv.MSELayer", "nerv.Layer")
-
-function MSELayer:__init(id, global_conf, layer_conf)
-    self.id = id
-    self.dim_in = layer_conf.dim_in
-    self.dim_out = layer_conf.dim_out
-    self.gconf = global_conf
-    self:check_dim_len(2, -1)
-end
-
-function MSELayer:init(batch_size)
-    if self.dim_in[1] ~= self.dim_in[2] then
-        nerv.error("mismatching dimensions of previous network output and labels")
-    end
-    self.scale = 1 / self.dim_in[1]
-    self.total_mse = 0.0
-    self.total_frames = 0
-    self.mse = self.gconf.cumat_type(batch_size, self.dim_in[1])
-    self.mse_sum = self.gconf.cumat_type(batch_size, 1)
-    self.diff = self.mse:create()
-end
-
-function MSELayer:update(bp_err, input, output)
-    -- no params, therefore do nothing
-end
-
-function MSELayer:propagate(input, output)
-    local mse = self.mse
-    local mse_sum = self.mse_sum
-    mse:add(input[1], input[2], 1.0, -1.0)
-    self.diff:copy_fromd(mse)
-    mse:mul_elem(mse, mse)
-    mse_sum:add(mse_sum, mse:rowsum(mse), 0.0, self.scale)
-    if output[1] ~= nil then
-        output[1]:copy_fromd(mse_sum)
-    end
-    self.total_mse = self.total_mse + mse_sum:colsum()[0]
-    self.total_frames = self.total_frames + mse_sum:nrow()
-end
-
--- NOTE: must call propagate before back_propagate
-function MSELayer:back_propagate(bp_err, next_bp_err, input, output)
-    local nbe = next_bp_err[1]
-    nbe:add(nbe, self.diff, 0.0, 2 * self.scale)
-    if bp_err[1] ~= nil then
-        nbe:scale_rows_by_col(bp_err[1])
-    end
-end
-
-function MSELayer:get_params()
-    return nerv.ParamRepo({})
-end