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push.yml
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name: Lint & Tests
on: [push]
jobs:
lint-and-tests:
runs-on: ubuntu-latest
strategy:
matrix:
python-version: [3.6] # build only for 3.6 for now
steps:
- uses: actions/checkout@v2
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v2
with:
python-version: ${{ matrix.python-version }}
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install --upgrade setuptools
python setup.py install
pip install -r requirements.opt.txt
pip install flake8
if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
- name: Lint with flake8
run: |
# stop the build if there are Python syntax errors or undefined names
flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
# exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
flake8 . --count --exit-zero --statistics
- name: Unit tests
run: |
python -m unittest discover
- name: Test vocabulary build
run: |
python onmt/bin/build_vocab.py \
-config data/data.yaml \
-save_data /tmp/onmt \
-n_sample 5000 \
-src_vocab /tmp/onmt.vocab.src \
-tgt_vocab /tmp/onmt.vocab.tgt \
&& rm -rf /tmp/sample
- name: Test field/transform dump
run: |
# The dumped fields are used later when testing tools
python train.py \
-config data/data.yaml \
-save_data /tmp/onmt.train.check \
-dump_fields \
-dump_transforms \
-n_sample 30 \
-src_vocab /tmp/onmt.vocab.src \
-tgt_vocab /tmp/onmt.vocab.tgt \
-src_vocab_size 1000 \
-tgt_vocab_size 1000
- name: Test RNN training
run: |
python train.py \
-config data/data.yaml \
-src_vocab /tmp/onmt.vocab.src \
-tgt_vocab /tmp/onmt.vocab.tgt \
-src_vocab_size 1000 \
-tgt_vocab_size 1000 \
-rnn_size 2 \
-batch_size 10 \
-word_vec_size 5 \
-report_every 5\
-rnn_size 10 \
-train_steps 10
- name: Test RNN training with copy
run: |
python train.py \
-config data/data.yaml \
-src_vocab /tmp/onmt.vocab.src \
-tgt_vocab /tmp/onmt.vocab.tgt \
-src_vocab_size 1000 \
-tgt_vocab_size 1000 \
-rnn_size 2 \
-batch_size 10 \
-word_vec_size 5 \
-report_every 5 \
-rnn_size 10 \
-train_steps 10 \
-copy_attn
- name: Test Transformer training with align
run: |
python train.py \
-config data/align_data.yaml \
-src_vocab /tmp/onmt.vocab.src \
-tgt_vocab /tmp/onmt.vocab.tgt \
-src_vocab_size 1000 \
-tgt_vocab_size 1000 \
-max_generator_batches 0 \
-encoder_type transformer \
-decoder_type transformer \
-layers 4 \
-word_vec_size 16 \
-rnn_size 16 \
-heads 2 \
-transformer_ff 64 \
-lambda_align 0.05 \
-alignment_layer 2 \
-alignment_heads 0 \
-report_every 5 \
-train_steps 10
- name: Test Graph neural network training
run: |
python train.py \
-config data/ggnn_data.yaml \
-src_seq_length 1000 \
-tgt_seq_length 30 \
-encoder_type ggnn \
-layers 2 \
-decoder_type rnn \
-rnn_size 256 \
-learning_rate 0.1 \
-learning_rate_decay 0.8 \
-global_attention general \
-batch_size 32 \
-word_vec_size 256 \
-bridge \
-train_steps 10 \
-n_edge_types 9 \
-state_dim 256 \
-n_steps 10 \
-n_node 64
- name: Test RNN translation
run: |
head data/src-test.txt > /tmp/src-test.txt
python translate.py \
-model onmt/tests/test_model.pt \
-src /tmp/src-test.txt \
-verbose
- name: Test RNN ensemble translation
run: |
head data/src-test.txt > /tmp/src-test.txt
python translate.py \
-model onmt/tests/test_model.pt \
onmt/tests/test_model.pt \
-src /tmp/src-test.txt \
-verbose
- name: Test RNN translation with beam search
run: |
python translate.py \
-model onmt/tests/test_model2.pt \
-src data/morph/src.valid \
-verbose \
-batch_size 10 \
-beam_size 10 \
-tgt data/morph/tgt.valid \
-out /tmp/trans
diff data/morph/tgt.valid /tmp/trans && rm /tmp/trans
- name: Test RNN translation with random sampling
run: |
python translate.py \
-model onmt/tests/test_model2.pt \
-src data/morph/src.valid \
-verbose \
-batch_size 10 \
-beam_size 1 \
-seed 1 \
-random_sampling_topk "-1" \
-random_sampling_temp 0.0001 \
-tgt data/morph/tgt.valid \
-out /tmp/trans
diff data/morph/tgt.valid /tmp/trans && rm /tmp/trans
- name: Test extract_vocabulary tool
run: |
python tools/extract_vocabulary.py \
-file /tmp/onmt.train.check.vocab.pt \
-file_type field \
-side src \
-out_file /tmp/onmt.vocab.txt
if ! wc -l /tmp/onmt.vocab.txt | grep -qF "1002"
then echo "wrong word count" && exit 1
else
echo "creat vocabulary pass"
fi
- name: Test embeddings_to_torch tool
run: |
python tools/embeddings_to_torch.py \
-emb_file_enc onmt/tests/sample_glove.txt \
-emb_file_dec onmt/tests/sample_glove.txt \
-dict_file /tmp/onmt.train.check.vocab.pt \
-output_file /tmp/q_gloveembeddings \
&& rm /tmp/q_gloveembeddings*
rm /tmp/onmt.train.check.*.pt
- name: Test extract_embeddings tool
run: |
python tools/extract_embeddings.py \
-model onmt/tests/test_model.pt
build-docs:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- name: Set up Python 3.6
uses: actions/setup-python@v2
with:
python-version: 3.6
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install --upgrade setuptools
python setup.py install
pip install -r docs/requirements.txt
- name: Build docs
run: |
set -e
# Check that docs are built without errors
cd docs/ && make html && cd ..