ERRORLEVEL not equal to 0 when moving an tensor to XPU on Windows

[Oscilloscope98]

Describe the bug

When moving a simple tensor to XPU on Windows, the %ERRORLEVEL% return non-zero in CMD, which is not as expected as no error reported in the python code.

Code to reproduce the error

import intel_extension_for_pytorch as ipex
import torch

torch.tensor([[0]], device='xpu')

This behavior happened both on

• Arc A770 on Windows 11 (driver version 31.0.101.5382)
• Ultra Core iGPU (driver version 31.0.101.5333)

Resolving this problem will be helpful for us regarding adding related UT on Windows. Thank you!

Versions

Step to reproducing the env

conda create -n test python=3.11 libuv
pip install torch==2.1.0a0 torchvision==0.16.0a0 torchaudio==2.1.0a0 intel-extension-for-pytorch==2.1.10 --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/cn/
pip install dpcpp-cpp-rt==2024.0.2 mkl-dpcpp==2024.0.0 onednn==2024.0.0

Versions (taking Arc A770 case as an example)

Collecting environment information...
PyTorch version: 2.1.0a0+cxx11.abi
PyTorch CXX11 ABI: No
IPEX version: 2.1.10+xpu
IPEX commit: a12f9f650
Build type: Release

OS: Microsoft Windows 11 家庭中文版
GCC version: N/A
Clang version: N/A
IGC version: N/A
CMake version: N/A
Libc version: N/A

Python version: 3.11.9 | packaged by Anaconda, Inc. | (main, Apr 19 2024, 16:40:41) [MSC v.1916 64 bit (AMD64)] (64-bit runtime)
Python platform: Windows-10-10.0.22631-SP0
Is XPU available: True
DPCPP runtime version: N/A
MKL version: N/A
GPU models and configuration:
[0] _DeviceProperties(name='Intel(R) Arc(TM) A770 Graphics', platform_name='Intel(R) Level-Zero', dev_type='gpu, support_fp64=0, total_memory=15930MB, max_compute_units=512, gpu_eu_count=512)
Intel OpenCL ICD version: N/A
Level Zero version: N/A

CPU:
Architecture=9
CurrentClockSpeed=3200
DeviceID=CPU0
Family=207
L2CacheSize=14336
L2CacheSpeed=
Manufacturer=GenuineIntel
MaxClockSpeed=3200
Name=12th Gen Intel(R) Core(TM) i9-12900K
ProcessorType=3
Revision=

Versions of relevant libraries:
[pip3] intel-extension-for-pytorch==2.1.10+xpu
[pip3] numpy==1.26.4
[pip3] torch==2.1.0a0+cxx11.abi
[pip3] torchaudio==2.1.0a0+cxx11.abi
[pip3] torchvision==0.16.0a0+cxx11.abi
[conda] intel-extension-for-pytorch 2.1.10+xpu               pypi_0    pypi
[conda] mkl                       2024.0.0                 pypi_0    pypi
[conda] mkl-dpcpp                 2024.0.0                 pypi_0    pypi
[conda] numpy                     1.26.4                   pypi_0    pypi
[conda] onemkl-sycl-blas          2024.0.0                 pypi_0    pypi
[conda] onemkl-sycl-datafitting   2024.0.0                 pypi_0    pypi
[conda] onemkl-sycl-dft           2024.0.0                 pypi_0    pypi
[conda] onemkl-sycl-lapack        2024.0.0                 pypi_0    pypi
[conda] onemkl-sycl-rng           2024.0.0                 pypi_0    pypi
[conda] onemkl-sycl-sparse        2024.0.0                 pypi_0    pypi
[conda] onemkl-sycl-stats         2024.0.0                 pypi_0    pypi
[conda] onemkl-sycl-vm            2024.0.0                 pypi_0    pypi
[conda] torch                     2.1.0a0+cxx11.abi          pypi_0    pypi
[conda] torchaudio                2.1.0a0+cxx11.abi          pypi_0    pypi
[conda] torchvision               0.16.0a0+cxx11.abi          pypi_0    pypi

[huiyan2021]

Hi @Oscilloscope98,

Could you try the latest version of ipex-xpu with oneapi 2024.1?

[Oscilloscope98]

Hi @huiyan2021,

Thank you for the reply. I have tried ipex-xpu with oneAPI 2024.1 through env

conda create -n test python=3.11 libuv

pip install torch==2.1.0.post2 torchvision==0.16.0.post2 torchaudio==2.1.0.post2 intel-extension-for-pytorch==2.1.30.post0 --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/cn/  
pip install dpcpp-cpp-rt==2024.1.2 mkl-dpcpp==2024.1.0 onednn==2024.1.1
pip install "setuptools<70.0.0"

And the ERRORLEVEL is 0 as expected :)

[huiyan2021]

Thanks for confirmation, I will close the issue.