diff options
author | Determinant <[email protected]> | 2015-06-22 19:01:29 +0800 |
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committer | Determinant <[email protected]> | 2015-06-22 19:01:29 +0800 |
commit | 2497fd9e7a0fae5ee4887890d7a312e0e08a93b8 (patch) | |
tree | 382f97575bd2df9ee6abb1662b11b279fc22d72b /layer/mse.lua | |
parent | 196e9b48a3541caccdffc5743001cced70667091 (diff) |
major change: use luarocks to manage project
Diffstat (limited to 'layer/mse.lua')
-rw-r--r-- | layer/mse.lua | 52 |
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 |