add log-based quantization test

2 files changed, 46 insertions, 0 deletions

diff --git a/tests/training/features/quantized-model/quantized-log4bit.expected b/tests/training/features/quantized-model/quantized-log4bit.expected
new file mode 100644
index 0000000..1de1b38
--- /dev/null
+++ b/tests/training/features/quantized-model/quantized-log4bit.expected
@@ -0,0 +1,10 @@
+225.47087097
+245.67460632
+232.80288696
+229.51301575
+217.59494019
+207.93991089
+201.96940613
+194.00720215
+197.69416809
+199.42311096
diff --git a/tests/training/features/quantized-model/test_quantmodel_log.sh b/tests/training/features/quantized-model/test_quantmodel_log.sh
new file mode 100644
index 0000000..f79809b
--- /dev/null
+++ b/tests/training/features/quantized-model/test_quantmodel_log.sh
@@ -0,0 +1,36 @@
+#!/bin/bash -x
+
+#####################################################################
+# SUMMARY: Train a quantized marian model
+# AUTHOR: afaji
+#####################################################################
+
+# Exit on error
+set -e
+
+PREFIX=quantized-log4bit
+
+# Remove old artifacts and create working directory
+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 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 4 --quantize-log-based --quantize-optimization-steps 3 \
+    --log $PREFIX.log
+
+# Check if files exist
+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 $PREFIX.diff
+
+# make sure that the resulting model has no more than 256 different values (i.e. quantized)
+$MRT_TOOLS/check-model-unique-vals.py train/model.npz -b 4
+
+# Exit with success code
+exit 0