deepspeedai / deepspeedai/DeepSpeed

[BUG]Install deepspeed on the npu machine, and an error is reported during verification

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Description

deepspeed 0.16.7

root@60aa81cf274c:/home/HwHiAiUser# ds_report 
[2025-05-14 08:07:51,177] [WARNING] [real_accelerator.py:194:get_accelerator] Setting accelerator to CPU. If you have GPU or other accelerator, we were unable to detect it.
[2025-05-14 08:07:51,194] [INFO] [real_accelerator.py:239:get_accelerator] Setting ds_accelerator to cpu (auto detect)
Traceback (most recent call last):
  File "/usr/local/python3.9.2/bin/ds_report", line 3, in <module>
    from deepspeed.env_report import cli_main
  File "/usr/local/python3.9.2/lib/python3.9/site-packages/deepspeed/__init__.py", line 30, in <module>
    from .runtime.engine import DeepSpeedEngine, DeepSpeedOptimizerCallable, DeepSpeedSchedulerCallable
  File "/usr/local/python3.9.2/lib/python3.9/site-packages/deepspeed/runtime/engine.py", line 111, in <module>
    from deepspeed.compile.backend import register_compile_pass, opt_passes
  File "/usr/local/python3.9.2/lib/python3.9/site-packages/deepspeed/compile/backend.py", line 16, in <module>
    import torch._inductor.scheduler
  File "/usr/local/python3.9.2/lib/python3.9/site-packages/torch/_inductor/scheduler.py", line 20, in <module>
    from .sizevars import SimplifyIndexing
  File "/usr/local/python3.9.2/lib/python3.9/site-packages/torch/_inductor/sizevars.py", line 21, in <module>
    class SizeVarAllocator:
  File "/usr/local/python3.9.2/lib/python3.9/site-packages/torch/_inductor/sizevars.py", line 336, in SizeVarAllocator
    def evaluate_expr(self, left: Union[Expr, sympy.logic.boolalg.Boolean]) -> bool:
AttributeError: module 'sympy.core.logic' has no attribute 'boolalg'

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  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Reproduce the reported ds_report failure in a Python 3.9.2 environment with DeepSpeed 0.16.7, then trace the import path through deepspeed/env_report, deepspeed/compile/backend.py, and the referenced PyTorch Inductor files. Done means the NPU environment is handled correctly and ds_report completes without the reported traceback.

Written by the indexing model from the issue text.

Assessment

Tech stack
python, pytorch
Domain
machine-learning
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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