mirror of
https://github.com/bigscience-workshop/petals
synced 2024-10-31 09:20:41 +00:00
82a97d6e9e
Fixes #503.
121 lines
5.4 KiB
YAML
121 lines
5.4 KiB
YAML
name: Tests
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on:
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push:
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branches: [ main ]
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pull_request:
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jobs:
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run-tests:
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strategy:
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matrix:
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include:
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- { model: 'bigscience/bloom-560m', os: 'ubuntu', python-version: '3.8' }
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- { model: 'bigscience/bloom-560m', os: 'ubuntu', python-version: '3.11' }
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- { model: 'Maykeye/TinyLLama-v0', os: 'ubuntu', python-version: '3.8' }
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- { model: 'Maykeye/TinyLLama-v0', os: 'ubuntu', python-version: '3.11' }
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- { model: 'petals-team/falcon-rw-1b', os: 'ubuntu', python-version: '3.8' }
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- { model: 'petals-team/falcon-rw-1b', os: 'ubuntu', python-version: '3.11' }
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- { model: 'Maykeye/TinyLLama-v0', os: 'macos', python-version: '3.10' }
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- { model: 'Maykeye/TinyLLama-v0', os: 'macos', python-version: '3.11' }
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fail-fast: false
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runs-on: ${{ matrix.os }}-latest
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timeout-minutes: 20
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steps:
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- name: Increase swap space
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if: ${{ matrix.os == 'ubuntu' }}
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uses: pierotofy/set-swap-space@master
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with:
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swap-size-gb: 10
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- name: Checkout
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uses: actions/checkout@v3
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- name: Set up Python
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uses: actions/setup-python@v3
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with:
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python-version: ${{ matrix.python-version }}
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- name: Cache dependencies
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uses: actions/cache@v3
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with:
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path: ~/.cache/pip
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key: Key-v1-${{ matrix.python-version }}-${{ hashFiles('setup.cfg') }}
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- name: Install dependencies
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run: |
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python -m pip install --upgrade pip
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pip install .[dev]
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- name: Test
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run: |
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set -x # Print executed commands
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export MODEL_NAME="${{ matrix.model }}"
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export REF_NAME="${{ matrix.model }}"
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export ADAPTER_NAME="${{ matrix.model == 'bigscience/bloom-560m' && 'artek0chumak/bloom-560m-safe-peft' || '' }}"
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# [Step 1] Set up a tiny test swarm (see https://github.com/bigscience-workshop/petals/wiki/Launch-your-own-swarm)
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python -m petals.cli.run_dht \
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--identity_path tests/bootstrap.id --host_maddrs /ip4/127.0.0.1/tcp/31337 &> bootstrap.log &
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BOOTSTRAP_PID=$!
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export INITIAL_PEERS=/ip4/127.0.0.1/tcp/31337/p2p/QmS9KwZptnVdB9FFV7uGgaTq4sEKBwcYeKZDfSpyKDUd1g
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# ^-- multiaddr in INITIAL_PEERS is determined by --identity_path and --host_maddrs
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until [ -s bootstrap.log ]; do sleep 5; done # wait for DHT init
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export RUN_SERVER="python -m petals.cli.run_server $MODEL_NAME \
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--device cpu --torch_dtype float32 --initial_peers $INITIAL_PEERS"
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export TENSOR_PARALLEL_ARGS="${{ matrix.model == 'bigscience/bloom-560m' && '--tensor_parallel_devices cpu cpu' || '' }}"
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$RUN_SERVER --adapters $ADAPTER_NAME --num_blocks 5 --throughput 1 --mean_balance_check_period 10 &> server1.log &
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SERVER1_PID=$!
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# ^-- rebalacing test: this server chooses blocks 0:5, then sees a gap in the swarm and moves there
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sleep 10 # wait for the 1st server to choose blocks
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$RUN_SERVER --adapters $ADAPTER_NAME --block_indices 0:5 --throughput 1 --identity_path tests/server2.id &> server2.log &
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SERVER2_PID=$!
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$RUN_SERVER --adapters $ADAPTER_NAME --num_blocks 14 --throughput auto \
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--attn_cache_tokens 2048 --max_chunk_size_bytes 1024 &> server3.log &
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SERVER3_PID=$!
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# ^-- chunking test
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$RUN_SERVER $TENSOR_PARALLEL_ARGS --block_indices 0:2 --throughput auto &> server4.log &
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SERVER4_PID=$!
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# ^-- tensor parallelism test (not compatible with adapters yet)
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sleep 5 # wait for the log files to appear
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tail -n 100 -f bootstrap.log server*.log &
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LOGGER_PID=$!
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sleep 30 # wait for servers to eval throughput, download layers, and rebalance
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kill -0 $BOOTSTRAP_PID $SERVER1_PID $SERVER2_PID $SERVER3_PID $SERVER4_PID # ensure all peers survived init
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# [Step 2] Run PyTest
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# Share disk cache between Petals servers, clients, and HF Transformers
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export TRANSFORMERS_CACHE=~/.cache/petals
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# Necessary for @pytest.mark.forked to work properly on macOS, see https://github.com/kevlened/pytest-parallel/issues/93
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export no_proxy=*
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export OBJC_DISABLE_INITIALIZE_FORK_SAFETY=YES
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# Limit default ClientConfig.max_retries to see tracebacks instead of retrying indefinitely
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export PETALS_MAX_RETRIES=10
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pytest tests --durations=0 --durations-min=1.0 -v
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# [Step 3] Check if benchmarks work (their results here are meaningless since it's a tiny swarm of CPU servers)
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python benchmarks/benchmark_inference.py --model $MODEL_NAME --initial_peers $INITIAL_PEERS --torch_dtype float32 \
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--seq_len 3
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python benchmarks/benchmark_forward.py --model $MODEL_NAME --initial_peers $INITIAL_PEERS --torch_dtype float32 \
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--seq_len 3 --batch_size 3 --n_steps 1
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python benchmarks/benchmark_training.py --model $MODEL_NAME --initial_peers $INITIAL_PEERS --torch_dtype float32 \
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--seq_len 3 --batch_size 3 --pre_seq_len 1 --n_steps 1 --task cls
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python benchmarks/benchmark_training.py --model $MODEL_NAME --initial_peers $INITIAL_PEERS --torch_dtype float32 \
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--seq_len 3 --batch_size 3 --pre_seq_len 1 --n_steps 1 --task causal_lm
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# [Step 4] Clean up
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kill -s SIGINT $BOOTSTRAP_PID $SERVER1_PID $SERVER2_PID $SERVER3_PID $SERVER4_PID $LOGGER_PID
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