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path: root/nerv/examples/lmptb/rnn/tnn.lua
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Diffstat (limited to 'nerv/examples/lmptb/rnn/tnn.lua')
-rw-r--r--nerv/examples/lmptb/rnn/tnn.lua6
1 files changed, 3 insertions, 3 deletions
diff --git a/nerv/examples/lmptb/rnn/tnn.lua b/nerv/examples/lmptb/rnn/tnn.lua
index 8c3963c..f470190 100644
--- a/nerv/examples/lmptb/rnn/tnn.lua
+++ b/nerv/examples/lmptb/rnn/tnn.lua
@@ -379,7 +379,7 @@ function TNN:propagate_dfs(ref, t)
end
end
end
- ref.layer:propagate(ref.inputs_m[t], ref.outputs_m[t]) --propagate!
+ ref.layer:propagate(ref.inputs_m[t], ref.outputs_m[t], t) --propagate!
if (bit.bor(self.feeds_now.flagsPack_now[t], bit.bor(nerv.TNN.FC.SEQ_START, nerv.TNN.FC.SEQ_END)) > 0) then --restore cross-border history
for i = 1, self.batch_size do
local seq_start = bit.bor(self.feeds_now.flags_now[t][i], nerv.TNN.FC.SEQ_START)
@@ -495,10 +495,10 @@ function TNN:backpropagate_dfs(ref, t, do_update)
end
end
if (do_update == false) then
- ref.layer:back_propagate(ref.err_inputs_m[t], ref.err_outputs_m[t], ref.inputs_m[t], ref.outputs_m[t])
+ ref.layer:back_propagate(ref.err_inputs_m[t], ref.err_outputs_m[t], ref.inputs_m[t], ref.outputs_m[t], t)
else
--print(ref.err_inputs_m[t][1])
- ref.layer:update(ref.err_inputs_m[t], ref.inputs_m[t], ref.outputs_m[t])
+ ref.layer:update(ref.err_inputs_m[t], ref.inputs_m[t], ref.outputs_m[t], t)
end
for i = 1, #ref.dim_in do
if (ref.err_outputs_b[t][i] == true) then