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#!/bin/bash -x
#####################################################################
# SUMMARY: Train a model on TSV data from STDIN with guided alignment
# TAGS: sentencepiece tsv train align stdin
#####################################################################
# Exit on error
set -e
# Remove old artifacts and create working directory
rm -rf train_align_stdin train_align_stdin.{log,out,diff}
mkdir -p train_align_stdin
# Run marian command
cat train2.aln-de-en.tsv | $MRT_MARIAN/marian \
--cost-type ce-mean --no-shuffle --clip-norm 0 --seed 5555 --dim-emb 32 --dim-rnn 64 --maxi-batch 1 --maxi-batch-sort none --optimizer sgd --learn-rate 0.001 \
-m train_align_stdin/model.npz -t stdin -v $MRT_MODELS/rnn-spm/vocab.deen.{spm,spm} \
--disp-freq 4 \
--guided-alignment 0 --guided-alignment-weight 1.0 \
--log train_align_stdin.log
# Check if files exist
test -e train_align_stdin/model.npz
test -e train_align_stdin.log
grep -qi "word alignments from" train_align_stdin.log
# Compare the current output with the expected output
cat train_align_stdin.log | $MRT_TOOLS/extract-costs.sh > train_align_stdin.out
$MRT_TOOLS/diff-nums.py train_align_stdin.out train_align_stdin.expected -p 0.01 -o train_align_stdin.diff
# Exit with success code
exit 0
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