Comments (7)
Please paste here the full commands you used to:
- Train the model
- Load the model
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The bash-script I used contains the following commands for training (loading-attempt was made with commented lines)
#!/bin/bash
set -x
set -a
report_every=10
save_every=1000
ntrain=200000
dewarp=center
display_every=10
test_every=1000
testset=mub1test.h5
hidden=100
lrate=1e-4
save_name=mub1
report_time=1
#load=mub1-12000.clstm
#start=12000
./../clstm-master/clstmocrtrain mub1gt mub1test
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If you haven't noticed, I already solved the problem. PR #53 has 1-line fix. You can apply it and recompile. It seems to work as expected now.
Thanks for reporting !
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The 'start' environment variable isn't needed in the second run, only the 'load'.
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Current code still fails with "FATAL missing parameter"
at network_info(clstm.net) just after clstm.load().
The first call is OK. but recurrently-called(2nd time) network_info(net, ".Stacked") fails.(with super == 0x0)
This parameter seems to be "learning_rate". Is it stored in saved .clstm file?
Or net->attr must have super instance as default values.
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What do you mean by "current code"?
Tom didn't merge my PR with master yet, so if you want to test it you should apply the patch locally (to a new branch) and recompile.
It works for me and for @stexandev.
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It's my fault. patched code works perfectly.
Thanks.
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