Fix crash when creating Torch tensor on NPU with device=get_accelerator().current_device() #123
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| name: xpu-max1100 | |
| on: | |
| workflow_dispatch: | |
| schedule: | |
| - cron: "0 0 * * *" | |
| pull_request: | |
| paths: | |
| - ".github/workflows/xpu-max1100.yml" | |
| - "accelerator/xpu_accelerator.py" | |
| - "accelerator/abstract_accelerator.py" | |
| - "accelerator/cpu_accelerator.py" | |
| - "accelerator/real_accelerator.py" | |
| - "deepspeed/runtime/engine.py" | |
| - "deepspeed/runtime/bf16_optimizer.py" | |
| - "deepspeed/runtime/zero/stage_1_and_2.py" | |
| - "deepspeed/runtime/zero/stage3.py" | |
| - "deepspeed/runtime/zero/partition_parameters.py" | |
| - "deepspeed/runtime/zero/partitioned_param_coordinator.py" | |
| - "deepspeed/runtime/zero/parameter_offload.py" | |
| - "deepspeed/runtime/pipe/engine.py" | |
| - "deepspeed/runtime/utils.py" | |
| concurrency: | |
| group: ${{ github.workflow }}-${{ github.ref }} | |
| cancel-in-progress: true | |
| permissions: | |
| contents: read | |
| issues: write | |
| jobs: | |
| unit-tests: | |
| runs-on: [self-hosted, intel, xpu] | |
| container: | |
| image: intel/intel-extension-for-pytorch:2.1.20-xpu | |
| ports: | |
| - 80 | |
| options: --privileged -it --rm --device /dev/dri:/dev/dri -v /dev/dri/by-path:/dev/dri/by-path --ipc=host --cap-add=ALL | |
| steps: | |
| - uses: actions/checkout@v4 | |
| - name: Check container state | |
| shell: bash | |
| run: | | |
| ldd --version | |
| python -c "import torch; print('torch:', torch.__version__, torch)" | |
| python -c "import torch; import intel_extension_for_pytorch; print('XPU available:', torch.xpu.is_available())" | |
| - name: Install deepspeed | |
| run: | | |
| pip install py-cpuinfo | |
| pip install .[dev,autotuning] | |
| ds_report | |
| python -c "from deepspeed.accelerator import get_accelerator; print('accelerator:', get_accelerator()._name)" | |
| - name: Python environment | |
| run: | | |
| pip list | |
| - name: Unit tests | |
| run: | | |
| pip install pytest pytest-timeout tabulate tensorboard wandb | |
| export ONEAPI_ROOT=/opt/intel/oneapi/redist | |
| export FI_PROVIDER_PATH=$ONEAPI_ROOT/opt/mpi/libfabric/lib/prov | |
| export LD_LIBRARY_PATH=$ONEAPI_ROOT/opt/mpi/libfabric/lib:$LD_LIBRARY_PATH | |
| export LD_LIBRARY_PATH=$ONEAPI_ROOT/lib:$LD_LIBRARY_PATH | |
| cd tests/unit | |
| pytest --verbose accelerator/* | |
| pytest --verbose autotuning/* | |
| pytest --verbose checkpoint/test_reshape_checkpoint.py | |
| pytest --verbose checkpoint/test_moe_checkpoint.py | |
| pytest --verbose checkpoint/test_shared_weights.py | |
| pytest --verbose launcher/test_ds_arguments.py launcher/test_run.py | |
| pytest --verbose moe/test_moe_tp.py | |
| pytest --verbose monitor/* | |
| pytest --verbose runtime/test_ds_config_model.py | |
| pytest --verbose runtime/pipe/test_pipe_schedule.py | |
| pytest --verbose runtime/zero/test_zero_config.py | |
| pytest --verbose runtime/zero/test_zero_tiled.py | |
| pytest --verbose runtime/zero/test_zeropp.py | |
| pytest --verbose runtime/test_autocast.py | |
| pytest --verbose runtime/test_data.py | |
| pytest --verbose runtime/test_runtime_utils.py | |
| pytest --verbose runtime/activation_checkpointing/* | |
| pytest --verbose runtime/utils/* | |
| pytest --verbose runtime/zero/test_zero_dynamic_class.py |