Bump future from 0.18.2 to 0.18.3 #28
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| name: Lint & Tests | |
| on: [push, pull_request] | |
| 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==50.3.0 | |
| 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 RNN training with coverage | |
| 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 \ | |
| -coverage_attn true -lambda_coverage 0.1 \ | |
| -rnn_size 10 -train_steps 10 | |
| - 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 LM training | |
| run: | | |
| python train.py \ | |
| -config data/lm_data.yaml \ | |
| -src_vocab /tmp/onmt.vocab.src \ | |
| -tgt_vocab /tmp/onmt.vocab.src \ | |
| -model_task lm \ | |
| -encoder_type transformer_lm \ | |
| -decoder_type transformer_lm \ | |
| -src_vocab_size 1000 \ | |
| -tgt_vocab_size 1000 \ | |
| -dec_layers 2 -batch_size 10 \ | |
| -heads 4 -transformer_ff 64 \ | |
| -word_vec_size 16 -report_every 5 \ | |
| -rnn_size 16 -train_steps 10 | |
| - name: Test LM training with copy | |
| run: | | |
| python train.py \ | |
| -config data/lm_data.yaml \ | |
| -src_vocab /tmp/onmt.vocab.src \ | |
| -tgt_vocab /tmp/onmt.vocab.src \ | |
| -model_task lm \ | |
| -encoder_type transformer_lm \ | |
| -decoder_type transformer_lm \ | |
| -src_vocab_size 1000 \ | |
| -tgt_vocab_size 1000 \ | |
| -dec_layers 2 -batch_size 10 \ | |
| -heads 4 -transformer_ff 64 \ | |
| -word_vec_size 16 -report_every 5 \ | |
| -rnn_size 16 -train_steps 10 \ | |
| -copy_attn | |
| - 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 LM generation | |
| run: | | |
| head data/src-test.txt > /tmp/src-test.txt | |
| python translate.py \ | |
| -model onmt/tests/test_model_lm.pt \ | |
| -src data/src-test.txt \ | |
| -verbose | |
| - name: Test LM generation with beam search | |
| run: | | |
| python translate.py \ | |
| -model onmt/tests/test_model_lm.pt \ | |
| -src data/data_lm/src-gen.txt \ | |
| -verbose -batch_size 10 \ | |
| -beam_size 10 \ | |
| -out /tmp/gen | |
| diff data/data_lm/gen-beam-sol.txt /tmp/gen && rm /tmp/gen | |
| - name: Test LM generation with random sampling | |
| run: | | |
| python translate.py -model onmt/tests/test_model_lm.pt \ | |
| -src data/data_lm/src-gen.txt \ | |
| -verbose -batch_size 10 \ | |
| -beam_size 1 \ | |
| -seed 1 \ | |
| -random_sampling_topk=-1 \ | |
| -random_sampling_temp=0.0001 \ | |
| -out /tmp/gen | |
| diff data/data_lm/gen-sampling-sol.txt /tmp/gen && rm /tmp/gen | |
| - 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 "create 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 .. |