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author | Determinant <ted.sybil@gmail.com> | 2016-03-11 17:35:13 +0800 |
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committer | Determinant <ted.sybil@gmail.com> | 2016-03-11 17:35:13 +0800 |
commit | 13729e83219cd90e33f329c49a50f6f4a4420721 (patch) | |
tree | cf5c43f1ddad7bc2430ea8191f943b0783e5fc2c /nerv/layer/duplicate.lua | |
parent | a32195e3e2ae9ca0f0c7a82e73e6bddb64568c05 (diff) | |
parent | a54332ce81129e81fbb1d041ec41aa5955868c5e (diff) |
Merge branch 'liuq901-master'
Diffstat (limited to 'nerv/layer/duplicate.lua')
-rw-r--r-- | nerv/layer/duplicate.lua | 41 |
1 files changed, 41 insertions, 0 deletions
diff --git a/nerv/layer/duplicate.lua b/nerv/layer/duplicate.lua new file mode 100644 index 0000000..137472b --- /dev/null +++ b/nerv/layer/duplicate.lua @@ -0,0 +1,41 @@ +local DuplicateLayer = nerv.class('nerv.DuplicateLayer', 'nerv.Layer') + +function DuplicateLayer:__init(id, global_conf, layer_conf) + nerv.Layer.__init(self, id, global_conf, layer_conf) + self:check_dim_len(1, -1) + if #self.dim_out < 1 then + nerv.error('no output specified') + end + for i = 1, #self.dim_out do + if self.dim_out[i] ~= self.dim_in[1] then + nerv.error('mismatching dimensions of outputs') + end + end +end + +function DuplicateLayer:init() +end + +function DuplicateLayer:batch_resize() +end + +function DuplicateLayer:propagate(input, output) + for i = 1, #self.dim_out do + output[i]:copy_from(input[1]) + -- FIXME: use reference copy to speed up + end +end + +function DuplicateLayer:back_propagate(bp_err, next_bp_err) + next_bp_err[1]:copy_from(bp_err[1]) + for i = 2, #self.dim_out do + next_bp_err[1]:add(next_bp_err[1], bp_err[i], 1.0, 1.0) + end +end + +function DuplicateLayer:update() +end + +function DuplicateLayer:get_params() + return nerv.ParamRepo({}, self.loc_type) +end |