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#!/bin/bash
# Exit on error
set -e
# Test code goes here
rm -rf compare_sync compare_sync.{words.log,sents.log,out,diff}
mkdir -p compare_sync
cat $MRT_DATA/europarl.de-en/toy.bpe.en | sed -r -e 's/[^ ]+/3/g' -e 's/$/ 3/' > compare.words.weights.txt
cat $MRT_DATA/europarl.de-en/toy.bpe.en | sed -r -e 's/.*/3/' > compare.sents.weights.txt
# Train on sentence-level, each sentence has weight 3
$MRT_MARIAN/marian \
--seed 3333 --no-shuffle --dim-emb 128 --dim-rnn 256 --optimizer sgd --sync-sgd \
-m compare_sync/model.sents.npz -t $MRT_DATA/europarl.de-en/toy.bpe.{de,en} -v vocab.{de,en}.yml \
--log compare_sync.sents.log --disp-freq 5 -e 2 \
--data-weighting compare.sents.weights.txt --data-weighting-type sentence
test -e compare_sync/model.sents.npz
test -e compare_sync.sents.log
cat compare_sync.sents.log | $MRT_TOOLS/extract-disp.sh > compare_sync.sents.out
# Train on word-level, each word has weight 3, including EOS
$MRT_MARIAN/marian \
--seed 3333 --no-shuffle --dim-emb 128 --dim-rnn 256 --optimizer sgd --sync-sgd \
-m compare_sync/model.words.npz -t $MRT_DATA/europarl.de-en/toy.bpe.{de,en} -v vocab.{de,en}.yml \
--log compare_sync.words.log --disp-freq 5 -e 2 \
--data-weighting compare.words.weights.txt --data-weighting-type word
test -e compare_sync/model.words.npz
test -e compare_sync.words.log
cat compare_sync.words.log | $MRT_TOOLS/extract-disp.sh > compare_sync.words.out
$MRT_TOOLS/diff-nums.py compare_sync.words.out compare_sync.sents.out -p 0.05 -o compare_sync.words.diff
# Exit with success code
exit 0
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