[WIP] Draft of new neural net adaptation framework (will also involve script rewrite)#2913
[WIP] Draft of new neural net adaptation framework (will also involve script rewrite)#2913danpovey wants to merge 110 commits intokaldi-asr:masterfrom
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unless the constructor
[WIP] differentiable SVD
… derivs not right)
Implement get_train_schedule.py
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need |
| # EOF | ||
| # | ||
| # note: $langs is "default" | ||
| steps/chaina/get_model_context.sh \ |
| dir=$4 | ||
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| tree=$chaindir/${lang}.tree | ||
| trans_mdl=$chaindir/0/${lang}.mdl # contains the transition model and a nnet, but |
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trans_mdl=$chaindir/0/${lang}.mdl -> trans_mdl=$chaindir/init/${lang}.mdl
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| if args.dropout_schedule == "": | ||
| args.dropout_schedule = None | ||
| dropout_edit_option = common_train_lib.get_dropout_edit_option( |
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common?
should be libs.nnet3.train.dropout_schedule
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That's already imported in common_train_lib. See steps/chain/train.py.
egs/wsj/s5/steps/chaina/train.sh
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| # source the 1st line of schedule.txt in the shell; this sets | ||
| # lrate and dropout_opt, among other variables. | ||
| . <(head -n 1 $dir/schedule.txt) | ||
| langs=$(awk '/^langs/ { $1=""; print; }' <$dir/0/info.txt) |
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$dir/0/info.txt -> $dir/init/info.txt
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the include thing, I'll wait for hossein to look at it; I'll fix the other
ones.
…On Thu, Jan 17, 2019 at 8:50 PM Gaofeng Cheng ***@***.***> wrote:
***@***.**** commented on this pull request.
------------------------------
In egs/wsj/s5/steps/chaina/internal/get_train_schedule.py
<#2913 (comment)>:
> + # regardless of the --num-jobs-initial and --num-jobs-final. This
+ # is because the model averaging does not work reliably for a
+ # freshly initialized model.
+ if iter == 0:
+ current_num_jobs = 1
+
+ lrate = common_train_lib.get_learning_rate(iter, current_num_jobs,
+ num_iters,
+ num_scp_files_processed,
+ num_scp_files_to_process,
+ args.initial_effective_lrate,
+ args.final_effective_lrate)
+
+ if args.dropout_schedule == "":
+ args.dropout_schedule = None
+ dropout_edit_option = common_train_lib.get_dropout_edit_option(
common?
should be libs.nnet3.train.dropout_schedule
------------------------------
In egs/wsj/s5/steps/chaina/train.sh
<#2913 (comment)>:
> + --dropout-schedule="$dropout_schedule" \
+ --num-scp-files=$num_scp_files \
+ --frame-subsampling-factor=$frame_subsampling_factor \
+ --initial-effective-lrate=$initial_effective_lrate \
+ --final-effective-lrate=$final_effective_lrate \
+ --schedule-out=$dir/schedule.txt
+
+
+
+if [ "$use_gpu" != "no" ]; then gpu_cmd_opt="--gpu 1"; else gpu_cmd_opt=""; fi
+
+num_iters=$(wc -l <$dir/schedule.txt)
+# source the 1st line of schedule.txt in the shell; this sets
+# lrate and dropout_opt, among other variables.
+. <(head -n 1 $dir/schedule.txt)
+langs=$(awk '/^langs/ { $1=""; print; }' <$dir/0/info.txt)
$dir/0/info.txt -> $dir/init/info.txt
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Set random seed in choose_egs_to_merge.py
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