Comments (1)
Hi!
Thank you for your issue! I didn't found this in original code and in paper, when I worked on this repo, but authors mentioned this: "We divide each program into segments consisting of 50
consecutive AST nodes, with the last segment being padded
with EOF if it is not full. The LSTM hidden state and mem-
ory state are initialized with h0, c0, which are two trainable
vectors. The last hidden and memory states from the previ-
ous LSTM segment are fed into the next one as initial states
if both segments belong to the same program. Otherwise,
the hidden and memory states are reset to h0, c0."
In my implementation h0 and c0 are always just set to default values (ones as I remember).
I'm not pretty sure if this helps to improve performance, but you can try to fix this issue. You need to pay attention on data preparation and training code.
It would be great if you make a pull request with fix.
from code-completion.
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