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authorAlham Fikri Aji <afaji321@gmail.com>2020-11-11 07:27:38 +0300
committerAlham Fikri Aji <afaji321@gmail.com>2020-11-11 07:27:38 +0300
commit4dac388a39adc581ecba6ae88b5a889988d15729 (patch)
tree86b3039304ebfccb034712054f24a188a9f909bf
parent96e40b77feda7a6742857c5d60ad8c62dc2e470b (diff)
simplify quantized-model testing by using a shared train folder
-rw-r--r--tests/training/features/quantized-model/.gitignore3
-rw-r--r--tests/training/features/quantized-model/quantized-opt.expected20
-rw-r--r--tests/training/features/quantized-model/test_quantmodel.sh10
-rw-r--r--tests/training/features/quantized-model/test_quantmodel_with_bias.sh12
-rw-r--r--tests/training/features/quantized-model/test_quantmodel_with_optimization.sh12
5 files changed, 27 insertions, 30 deletions
diff --git a/tests/training/features/quantized-model/.gitignore b/tests/training/features/quantized-model/.gitignore
index 2fa5b37..08afa18 100644
--- a/tests/training/features/quantized-model/.gitignore
+++ b/tests/training/features/quantized-model/.gitignore
@@ -1,4 +1 @@
-quantized
-quantized-with-bias
-quantized-opt
train
diff --git a/tests/training/features/quantized-model/quantized-opt.expected b/tests/training/features/quantized-model/quantized-opt.expected
index 6ccc2e0..12f21d3 100644
--- a/tests/training/features/quantized-model/quantized-opt.expected
+++ b/tests/training/features/quantized-model/quantized-opt.expected
@@ -1,10 +1,10 @@
-225.53999329
-244.43618774
-230.57369995
-225.52883911
-213.84687805
-204.98857117
-198.73059082
-191.04969788
-194.96365356
-196.72579956
+225.11299133
+243.58525085
+229.45321655
+224.28414917
+212.65376282
+204.06687927
+197.81901550
+190.08296204
+193.72265625
+195.21139526
diff --git a/tests/training/features/quantized-model/test_quantmodel.sh b/tests/training/features/quantized-model/test_quantmodel.sh
index b31a1d5..8b55697 100644
--- a/tests/training/features/quantized-model/test_quantmodel.sh
+++ b/tests/training/features/quantized-model/test_quantmodel.sh
@@ -11,18 +11,18 @@ set -e
PREFIX=quantized
# Remove old artifacts and create working directory
-rm -rf $PREFIX $PREFIX.{log,out,diff}
-mkdir -p $PREFIX train
+rm -rf train $PREFIX.{log,out,diff}
+mkdir -p train
# Train an 8-bits model
$MRT_MARIAN/marian \
--no-shuffle --seed 1111 --dim-emb 32 --dim-rnn 64 --mini-batch 32 --maxi-batch 1 --maxi-batch-sort none --learn-rate 0.1 --optimizer sgd \
- -m $PREFIX/model.npz -t $MRT_DATA/europarl.de-en/corpus.bpe.{en,de} -v train/vocab.en.yml train/vocab.de.yml \
+ -m train/model.npz -t $MRT_DATA/europarl.de-en/corpus.bpe.{en,de} -v train/vocab.en.yml train/vocab.de.yml \
--cost-type cross-entropy --sync-sgd --after-batches 100 --disp-freq 10 --quantize-bits 8 \
--log $PREFIX.log
# Check if files exist
-test -e $PREFIX/model.npz
+test -e train/model.npz
test -e $PREFIX.log
# Compare the current output with the expected output
@@ -30,7 +30,7 @@ cat $PREFIX.log | $MRT_TOOLS/extract-costs.sh > $PREFIX.out
$MRT_TOOLS/diff-nums.py $PREFIX.out $PREFIX.expected -o $PREFIX.diff
# make sure that the resulting model has no more than 256 different values (i.e. quantized)
-$MRT_TOOLS/check-model-unique-vals.py $PREFIX/model.npz -b 8
+$MRT_TOOLS/check-model-unique-vals.py train/model.npz -b 8
# Exit with success code
exit 0
diff --git a/tests/training/features/quantized-model/test_quantmodel_with_bias.sh b/tests/training/features/quantized-model/test_quantmodel_with_bias.sh
index 96380c3..de14ffb 100644
--- a/tests/training/features/quantized-model/test_quantmodel_with_bias.sh
+++ b/tests/training/features/quantized-model/test_quantmodel_with_bias.sh
@@ -11,25 +11,25 @@ set -e
PREFIX=quantized-with-bias
# Remove old artifacts and create working directory
-rm -rf $PREFIX $PREFIX.{log,out,diff}
-mkdir -p $PREFIX train
+rm -rf train $PREFIX.{log,out,diff}
+mkdir -p train
# training with quantized bias is tricky, so we start by training a normal model first before finetuning it to the quantized space.
$MRT_MARIAN/marian \
--no-shuffle --seed 1111 --dim-emb 32 --dim-rnn 64 --mini-batch 32 --maxi-batch 1 --maxi-batch-sort none --learn-rate 0.1 --optimizer sgd \
- -m $PREFIX/model.npz -t $MRT_DATA/europarl.de-en/corpus.bpe.{en,de} -v train/vocab.en.yml train/vocab.de.yml \
+ -m train/model.npz -t $MRT_DATA/europarl.de-en/corpus.bpe.{en,de} -v train/vocab.en.yml train/vocab.de.yml \
--cost-type cross-entropy --sync-sgd --after-batches 20 --disp-freq 10 \
--log $PREFIX.log
# Train an 8-bits model
$MRT_MARIAN/marian \
--no-shuffle --seed 1111 --dim-emb 32 --dim-rnn 64 --mini-batch 32 --maxi-batch 1 --maxi-batch-sort none --learn-rate 0.1 --optimizer sgd \
- -m $PREFIX/model.npz -t $MRT_DATA/europarl.de-en/corpus.bpe.{en,de} -v train/vocab.en.yml train/vocab.de.yml \
+ -m train/model.npz -t $MRT_DATA/europarl.de-en/corpus.bpe.{en,de} -v train/vocab.en.yml train/vocab.de.yml \
--cost-type cross-entropy --sync-sgd --after-batches 100 --disp-freq 10 --quantize-bits 8 --quantize-biases \
--log $PREFIX.log
# Check if files exist
-test -e $PREFIX/model.npz
+test -e train/model.npz
test -e $PREFIX.log
# Compare the current output with the expected output
@@ -37,7 +37,7 @@ cat $PREFIX.log | $MRT_TOOLS/extract-costs.sh > $PREFIX.out
$MRT_TOOLS/diff-nums.py $PREFIX.out $PREFIX.expected -o $PREFIX.diff
# make sure that the resulting model has no more than 256 different values (i.e. quantized)
-$MRT_TOOLS/check-model-unique-vals.py $PREFIX/model.npz -b 8 --with_bias
+$MRT_TOOLS/check-model-unique-vals.py train/model.npz -b 8 --with_bias
# Exit with success code
exit 0
diff --git a/tests/training/features/quantized-model/test_quantmodel_with_optimization.sh b/tests/training/features/quantized-model/test_quantmodel_with_optimization.sh
index 4a88059..fe7993e 100644
--- a/tests/training/features/quantized-model/test_quantmodel_with_optimization.sh
+++ b/tests/training/features/quantized-model/test_quantmodel_with_optimization.sh
@@ -11,26 +11,26 @@ set -e
PREFIX=quantized-opt
# Remove old artifacts and create working directory
-rm -rf $PREFIX $PREFIX.{log,out,diff}
-mkdir -p $PREFIX train
+rm -rf train $PREFIX.{log,out,diff}
+mkdir -p train
# Train an 8-bits model
$MRT_MARIAN/marian \
--no-shuffle --seed 1111 --dim-emb 32 --dim-rnn 64 --mini-batch 32 --maxi-batch 1 --maxi-batch-sort none --learn-rate 0.1 --optimizer sgd \
- -m $PREFIX/model.npz -t $MRT_DATA/europarl.de-en/corpus.bpe.{en,de} -v train/vocab.en.yml train/vocab.de.yml \
+ -m train/model.npz -t $MRT_DATA/europarl.de-en/corpus.bpe.{en,de} -v train/vocab.en.yml train/vocab.de.yml \
--cost-type cross-entropy --sync-sgd --after-batches 100 --disp-freq 10 --quantize-bits 8 --quantize-optimization-steps 3 \
--log $PREFIX.log
# Check if files exist
-test -e $PREFIX/model.npz
+test -e train/model.npz
test -e $PREFIX.log
# Compare the current output with the expected output
cat $PREFIX.log | $MRT_TOOLS/extract-costs.sh > $PREFIX.out
-$MRT_TOOLS/diff-nums.py $PREFIX.out $PREFIX.expected -o $PREFIX.diff -p 0.01
+$MRT_TOOLS/diff-nums.py $PREFIX.out $PREFIX.expected -o $PREFIX.diff
# make sure that the resulting model has no more than 256 different values (i.e. quantized)
-$MRT_TOOLS/check-model-unique-vals.py $PREFIX/model.npz -b 8
+$MRT_TOOLS/check-model-unique-vals.py train/model.npz -b 8
# Exit with success code
exit 0