oneapi-src / oneapi-src/oneAPI-samples
RuntimeError: could not create an engine
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Description
Hi Intel Team
I am observing "could not create an engine" error in executing demo.py example from "oneCCL Bindings for PyTorch Getting Started Sample*". The code is run on Saphire node with 4 PVCs at TACC system. Any suggestions on identifying the cause and fixing it?
(base) c551-003pvc$ mpirun -n 2 -l python demo.py -dev xpu
[0] Runing Iteration: 0 on device xpu:0
[0] Runing forward: 0 on device xpu:0
[0] Traceback (most recent call last):
[0] File "/scratch/05231/aruhela/demo.py", line 67, in
[1] Runing Iteration: 0 on device xpu:1
[1] Runing forward: 0 on device xpu:1
[1] Traceback (most recent call last):
[1] File "/scratch/05231/aruhela/demo.py", line 67, in
[0] res = model(input)
[0] File "/scratch/projects/compilers/intel24.2/oneapi/intelpython/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
[1] res = model(input)
[1] File "/scratch/projects/compilers/intel24.2/oneapi/intelpython/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
[0] return self._call_impl(*args, **kwargs)
[0] File "/scratch/projects/compilers/intel24.2/oneapi/intelpython/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
[1] return self._call_impl(*args, **kwargs)
[1] File "/scratch/projects/compilers/intel24.2/oneapi/intelpython/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
[0] return forward_call(*args, **kwargs)
[0] File "/scratch/projects/compilers/intel24.2/oneapi/intelpython/lib/python3.9/site-packages/torch/nn/parallel/distributed.py", line 1519, in forward
[1] return forward_call(*args, **kwargs)
[1] File "/scratch/projects/compilers/intel24.2/oneapi/intelpython/lib/python3.9/site-packages/torch/nn/parallel/distributed.py", line 1519, in forward
[0] else self._run_ddp_forward(*inputs, **kwargs)
[0] File "/scratch/projects/compilers/intel24.2/oneapi/intelpython/lib/python3.9/site-packages/torch/nn/parallel/distributed.py", line 1355, in _run_ddp_forward
[1] else self._run_ddp_forward(*inputs, **kwargs)
[1] File "/scratch/projects/compilers/intel24.2/oneapi/intelpython/lib/python3.9/site-packages/torch/nn/parallel/distributed.py", line 1355, in _run_ddp_forward
[0] return self.module(*inputs, **kwargs) # type: ignore[index]
[0] File "/scratch/projects/compilers/intel24.2/oneapi/intelpython/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
[1] return self.module(*inputs, **kwargs) # type: ignore[index]
[1] File "/scratch/projects/compilers/intel24.2/oneapi/intelpython/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
[0] return self._call_impl(*args, **kwargs)
[0] File "/scratch/projects/compilers/intel24.2/oneapi/intelpython/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
[1] return self._call_impl(*args, **kwargs)
[1] File "/scratch/projects/compilers/intel24.2/oneapi/intelpython/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
[0] return forward_call(*args, **kwargs)
[0] File "/scratch/05231/aruhela/demo.py", line 26, in forward
[1] return forward_call(*args, **kwargs)
[1] File "/scratch/05231/aruhela/demo.py", line 26, in forward
[0] return self.linear(input)
[0] File "/scratch/projects/compilers/intel24.2/oneapi/intelpython/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
[1] return self.linear(input)
[1] File "/scratch/projects/compilers/intel24.2/oneapi/intelpython/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
[0] return self._call_impl(*args, **kwargs)
[0] File "/scratch/projects/compilers/intel24.2/oneapi/intelpython/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
[1] return self._call_impl(*args, **kwargs)
[1] File "/scratch/projects/compilers/intel24.2/oneapi/intelpython/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
[0] return forward_call(*args, **kwargs)
[0] File "/scratch/projects/compilers/intel24.2/oneapi/intelpython/lib/python3.9/site-packages/torch/nn/modules/linear.py", line 114, in forward
[1] return forward_call(*args, **kwargs)
[1] File "/scratch/projects/compilers/intel24.2/oneapi/intelpython/lib/python3.9/site-packages/torch/nn/modules/linear.py", line 114, in forward
[0] return F.linear(input, self.weight, self.bias)
[0] RuntimeError: could not create an engine
[1] return F.linear(input, self.weight, self.bias)
[1] RuntimeError: could not create an engine
(base) c551-003pvc$
Notes: OneAPI release is 2024.2
Install command (AI Selector Tool):
conda install -c intel -c conda-forge --override-channels intel/label/oneapi::intel-extension-for-pytorch=2.1.20 intel/label/oneapi::pytorch=2.1.0 intel/label/oneapi::oneccl_bind_pt=2.1.200 intel/label/oneapi::torchvision=0.16.0 intel/label/oneapi::torchaudio=2.1.0 conda-forge::deepspeed=0.14.0 python=3.9
Thanks
Amit Ruhela
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the oneCCL Bindings for PyTorch Getting Started Sample and the reported demo.py entry points at lines 26 and 67, then reproduce the command using mpirun -n 2 with -dev xpu. Check the PyTorch and Intel Extension for PyTorch versions listed in the issue; done means identifying the engine-creation cause and confirming the sample runs successfully on the stated PVC setup.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- distributed-systems, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100