note about llama 3.1 RoPE support #2687
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| name: Tests | |
| on: | |
| push: | |
| branches: [ main ] | |
| pull_request: | |
| jobs: | |
| run-tests: | |
| strategy: | |
| matrix: | |
| include: | |
| - { model: 'bigscience/bloom-560m', os: 'ubuntu', python-version: '3.8' } | |
| - { model: 'bigscience/bloom-560m', os: 'ubuntu', python-version: '3.11' } | |
| - { model: 'Maykeye/TinyLLama-v0', os: 'ubuntu', python-version: '3.8' } | |
| - { model: 'Maykeye/TinyLLama-v0', os: 'ubuntu', python-version: '3.11' } | |
| - { model: 'Maykeye/TinyLLama-v0', os: 'macos', python-version: '3.10' } | |
| - { model: 'Maykeye/TinyLLama-v0', os: 'macos', python-version: '3.11' } | |
| - { model: 'artek0chumak/TestMixtral', os: 'ubuntu', python-version: '3.8' } | |
| - { model: 'artek0chumak/TestMixtral', os: 'ubuntu', python-version: '3.11' } | |
| fail-fast: false | |
| runs-on: ${{ matrix.os }}-latest | |
| timeout-minutes: 20 | |
| steps: | |
| - name: Increase swap space | |
| if: ${{ matrix.os == 'ubuntu' }} | |
| uses: pierotofy/set-swap-space@master | |
| with: | |
| swap-size-gb: 10 | |
| - name: Checkout | |
| uses: actions/checkout@v3 | |
| - name: Set up Python | |
| uses: actions/setup-python@v3 | |
| with: | |
| python-version: ${{ matrix.python-version }} | |
| - name: Cache dependencies | |
| uses: actions/cache@v3 | |
| with: | |
| path: ~/.cache/pip | |
| key: Key-v1-${{ matrix.python-version }}-${{ hashFiles('setup.cfg') }} | |
| - name: Install dependencies | |
| run: | | |
| python -m pip install --upgrade pip | |
| pip install .[dev] | |
| - name: Test | |
| run: | | |
| set -x # Print executed commands | |
| export MODEL_NAME="${{ matrix.model }}" | |
| export REF_NAME="${{ matrix.model }}" | |
| export ADAPTER_NAME="${{ matrix.model == 'bigscience/bloom-560m' && 'artek0chumak/bloom-560m-safe-peft' || '' }}" | |
| # [Step 1] Set up a tiny test swarm (see https://github.com/bigscience-workshop/petals/wiki/Launch-your-own-swarm) | |
| python -m petals.cli.run_dht \ | |
| --identity_path tests/bootstrap.id --host_maddrs /ip4/127.0.0.1/tcp/31337 &> bootstrap.log & | |
| BOOTSTRAP_PID=$! | |
| export INITIAL_PEERS=/ip4/127.0.0.1/tcp/31337/p2p/QmS9KwZptnVdB9FFV7uGgaTq4sEKBwcYeKZDfSpyKDUd1g | |
| # ^-- multiaddr in INITIAL_PEERS is determined by --identity_path and --host_maddrs | |
| until [ -s bootstrap.log ]; do sleep 5; done # wait for DHT init | |
| export RUN_SERVER="python -m petals.cli.run_server $MODEL_NAME \ | |
| --device cpu --torch_dtype float32 --initial_peers $INITIAL_PEERS" | |
| export TENSOR_PARALLEL_ARGS="${{ matrix.model == 'bigscience/bloom-560m' && '--tensor_parallel_devices cpu cpu' || '' }}" | |
| $RUN_SERVER --adapters $ADAPTER_NAME --num_blocks 5 --throughput 1 --mean_balance_check_period 10 &> server1.log & | |
| SERVER1_PID=$! | |
| # ^-- rebalacing test: this server chooses blocks 0:5, then sees a gap in the swarm and moves there | |
| sleep 10 # wait for the 1st server to choose blocks | |
| $RUN_SERVER --adapters $ADAPTER_NAME --block_indices 0:5 --throughput 1 --identity_path tests/server2.id &> server2.log & | |
| SERVER2_PID=$! | |
| $RUN_SERVER --adapters $ADAPTER_NAME --num_blocks 14 --throughput auto \ | |
| --attn_cache_tokens 2048 --max_chunk_size_bytes 1024 &> server3.log & | |
| SERVER3_PID=$! | |
| # ^-- chunking test | |
| $RUN_SERVER $TENSOR_PARALLEL_ARGS --block_indices 0:2 --throughput auto &> server4.log & | |
| SERVER4_PID=$! | |
| # ^-- tensor parallelism test (not compatible with adapters yet) | |
| sleep 5 # wait for the log files to appear | |
| tail -n 100 -f bootstrap.log server*.log & | |
| LOGGER_PID=$! | |
| sleep 30 # wait for servers to eval throughput, download layers, and rebalance | |
| kill -0 $BOOTSTRAP_PID $SERVER1_PID $SERVER2_PID $SERVER3_PID $SERVER4_PID # ensure all peers survived init | |
| # [Step 2] Run PyTest | |
| # Share disk cache between Petals servers, clients, and HF Transformers | |
| export TRANSFORMERS_CACHE=~/.cache/petals | |
| # Necessary for @pytest.mark.forked to work properly on macOS, see https://github.com/kevlened/pytest-parallel/issues/93 | |
| export no_proxy=* | |
| export OBJC_DISABLE_INITIALIZE_FORK_SAFETY=YES | |
| # Limit default ClientConfig.max_retries to see tracebacks instead of retrying indefinitely | |
| export PETALS_MAX_RETRIES=10 | |
| pytest tests --durations=0 --durations-min=1.0 -v | |
| # [Step 3] Check if benchmarks work (their results here are meaningless since it's a tiny swarm of CPU servers) | |
| python benchmarks/benchmark_inference.py --model $MODEL_NAME --initial_peers $INITIAL_PEERS --torch_dtype float32 \ | |
| --seq_len 3 | |
| python benchmarks/benchmark_forward.py --model $MODEL_NAME --initial_peers $INITIAL_PEERS --torch_dtype float32 \ | |
| --seq_len 3 --batch_size 3 --n_steps 1 | |
| python benchmarks/benchmark_training.py --model $MODEL_NAME --initial_peers $INITIAL_PEERS --torch_dtype float32 \ | |
| --seq_len 3 --batch_size 3 --pre_seq_len 1 --n_steps 1 --task cls | |
| python benchmarks/benchmark_training.py --model $MODEL_NAME --initial_peers $INITIAL_PEERS --torch_dtype float32 \ | |
| --seq_len 3 --batch_size 3 --pre_seq_len 1 --n_steps 1 --task causal_lm | |
| # [Step 4] Clean up | |
| kill -s SIGINT $BOOTSTRAP_PID $SERVER1_PID $SERVER2_PID $SERVER3_PID $SERVER4_PID $LOGGER_PID |