NVIDIA / NVIDIA/tilus

Executing the example reports an error

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Description

When I execute the demo under example, I get this error. Is it a problem with my CUDA driver version?
Driver Version: 550.127.08
CUDA Version: 12.8
python 3.10.16

python matmul_v5.py

/miniconda3/envs/cwb_research_310/lib/python3.10/site-packages/hidet/utils/stack_limit.py:33: UserWarning: The hard limit for stack size is too small (10.0 MiB), we recommend to increase it to 512.0 MiB. If you are the root user on Linux OS, you could refer to `man limits.conf` to increase this limit.
  warnings.warn(
Traceback (most recent call last):
  File "/cwb/tilus/examples/matmul/matmul_v5.py", line 234, in <module>
    main()
  File "/cwb/tilus/examples/matmul/matmul_v5.py", line 213, in main
    matmul(m, n, k, a, b, c_actual)
  File "miniconda3/envs/cwb_research_310/lib/python3.10/site-packages/tilus/lang/instantiated_script.py", line 728, in __call__
    jit_instance = JitInstance(self.script_cls, self.params, self.build_options, self.schedules, jit_key)
  File "/miniconda3/envs/cwb_research_310/lib/python3.10/site-packages/tilus/lang/instantiated_script.py", line 331, in __init__
    self._transpile_programs()
  File "/miniconda3/envs/cwb_research_310/lib/python3.10/site-packages/tilus/lang/instantiated_script.py", line 407, in _transpile_programs
    lazy_init()
  File "/miniconda3/envs/cwb_research_310/lib/python3.10/site-packages/tilus/target.py", line 141, in lazy_init
    get_current_target()
  File "/miniconda3/envs/cwb_research_310/lib/python3.10/site-packages/tilus/target.py", line 92, in get_current_target
    has_nvgpu = cuda.available() and cuda.device_count() > 0
  File "/miniconda3/envs/cwb_research_310/lib/python3.10/site-packages/hidet/cuda/device.py", line 75, in device_count
    assert err == 0, err
AssertionError: cudaError_t.cudaErrorInsufficientDriver

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First steps

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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

Start by reproducing python matmul_v5.py under examples/matmul and inspect the traceback at hidet/cuda/device.py:75, alongside the reported driver and CUDA versions. Done means establishing the cause of the cudaErrorInsufficientDriver failure and documenting or correcting the compatibility issue so the example can execute.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
compilers
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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