Intel_Extension_For_PyTorch_GettingStarted does work for GPU max

Error message:

(pytorch) [root@MPVC333 Intel_Extension_For_PyTorch_GettingStarted]# python Intel_Extension_For_PyTorch_Hello_World.py
Traceback (most recent call last):
File "/home/frank/oneAPI-samples/AI-and-Analytics/Getting-Started-Samples/Intel_Extension_For_PyTorch_GettingStarted/Intel_Extension_For_PyTorch_Hello_World.py", line 15, in
import intel_extension_for_pytorch as ipex
File "/root/miniconda3/envs/pytorch/lib/python3.9/site-packages/intel_extension_for_pytorch/init.py", line 2, in
from . import cpu
File "/root/miniconda3/envs/pytorch/lib/python3.9/site-packages/intel_extension_for_pytorch/cpu/init.py", line 2, in
from . import runtime
File "/root/miniconda3/envs/pytorch/lib/python3.9/site-packages/intel_extension_for_pytorch/cpu/runtime/init.py", line 3, in
from .multi_stream import MultiStreamModule, get_default_num_streams,
File "/root/miniconda3/envs/pytorch/lib/python3.9/site-packages/intel_extension_for_pytorch/cpu/runtime/multi_stream.py", line 4, in
import intel_extension_for_pytorch._C as core
ImportError: /root/miniconda3/envs/pytorch/lib/python3.9/site-packages/intel_extension_for_pytorch/lib/libintel-ext-pt-gpu.so: undefined symbol: _ZNK5torch8autograd4Node4nameB5cxx11Ev

Some version doesn't exist anymore, I have to pick the closest ones.

(pytorch) [root@MPVC333 ~]# pip install torch==1.13.0a0 torchvision==0.14.1a0 -f https://developer.intel.com/ipex-whl-stable-xpupython ; pip install intel_extension_for_pytorch==1.13.10+xpu oneccl_bind_pt==1.13.100+gpu -f https://developer.intel.com/ipex-whl-stable-xpu
Looking in links: https://developer.intel.com/ipex-whl-stable-xpupython
ERROR: Could not find a version that satisfies the requirement torch==1.13.0a0 (from versions: 1.7.1, 1.8.0, 1.8.1, 1.9.0, 1.9.1, 1.10.0, 1.10.1, 1.10.2, 1.11.0, 1.12.0, 1.12.1, 1.13.0, 1.13.1, 2.0.0)
ERROR: No matching distribution found for torch==1.13.0a0
Looking in links: https://developer.intel.com/ipex-whl-stable-xpu
Collecting intel_extension_for_pytorch==1.13.10+xpu
Downloading https://intel-optimized-pytorch.s3.cn-north-1.amazonaws.com.cn/ipex_stable/xpu/intel_extension_for_pytorch-1.13.10%2Bxpu-cp39-cp39-linux_x86_64.whl (357.8 MB)
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Collecting oneccl_bind_pt==1.13.100+gpu
Downloading https://intel-optimized-pytorch.s3.cn-north-1.amazonaws.com.cn/torch_ccl/xpu/oneccl_bind_pt-1.13.100%2Bgpu-cp39-cp39-linux_x86_64.whl (310 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 310.4/310.4 kB 146.5 MB/s eta 0:00:00
Collecting psutil
Downloading psutil-5.9.5-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (282 kB)
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Collecting numpy
Downloading numpy-1.24.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.3 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 17.3/17.3 MB 92.0 MB/s eta 0:00:00
Installing collected packages: oneccl_bind_pt, psutil, numpy, intel_extension_for_pytorch
Successfully installed intel_extension_for_pytorch-1.13.10+xpu numpy-1.24.3 oneccl_bind_pt-1.13.100+gpu psutil-5.9.5
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
(pytorch) [root@MPVC333 ~]# pip install torch==1.13.1 torchvision==0.14.1a0 -f https://developer.intel.com/ipex-whl-stable-xpupython
Looking in links: https://developer.intel.com/ipex-whl-stable-xpupython
Collecting torch==1.13.1
Downloading torch-1.13.1-cp39-cp39-manylinux1_x86_64.whl (887.4 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 887.4/887.4 MB 8.0 MB/s eta 0:00:00
ERROR: Could not find a version that satisfies the requirement torchvision==0.14.1a0 (from versions: 0.1.6, 0.1.7, 0.1.8, 0.1.9, 0.2.0, 0.2.1, 0.2.2, 0.2.2.post2, 0.2.2.post3, 0.8.2, 0.9.0, 0.9.1, 0.10.0, 0.10.1, 0.11.0, 0.11.1, 0.11.2, 0.11.3, 0.12.0, 0.13.0, 0.13.1, 0.14.0, 0.14.1, 0.15.0, 0.15.1)
ERROR: No matching distribution found for torchvision==0.14.1a0
(pytorch) [root@MPVC333 ~]# pip install torch==1.13.1 torchvision==0.14.1 -f https://developer.intel.com/ipex-whl-stable-xpupython
Looking in links: https://developer.intel.com/ipex-whl-stable-xpupython

Collecting torch==1.13.1
Using cached torch-1.13.1-cp39-cp39-manylinux1_x86_64.whl (887.4 MB)
Collecting torchvision==0.14.1
Downloading torchvision-0.14.1-cp39-cp39-manylinux1_x86_64.whl (24.2 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 24.2/24.2 MB 80.5 MB/s eta 0:00:00
Collecting nvidia-cublas-cu11==11.10.3.66
Downloading nvidia_cublas_cu11-11.10.3.66-py3-none-manylinux1_x86_64.whl (317.1 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 317.1/317.1 MB 20.0 MB/s eta 0:00:00
Collecting nvidia-cuda-nvrtc-cu11==11.7.99
Downloading nvidia_cuda_nvrtc_cu11-11.7.99-2-py3-none-manylinux1_x86_64.whl (21.0 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 21.0/21.0 MB 88.1 MB/s eta 0:00:00
Collecting nvidia-cudnn-cu11==8.5.0.96
Downloading nvidia_cudnn_cu11-8.5.0.96-2-py3-none-manylinux1_x86_64.whl (557.1 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 557.1/557.1 MB 12.0 MB/s eta 0:00:00
Collecting nvidia-cuda-runtime-cu11==11.7.99
Downloading nvidia_cuda_runtime_cu11-11.7.99-py3-none-manylinux1_x86_64.whl (849 kB)
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Collecting typing-extensions
Downloading typing_extensions-4.5.0-py3-none-any.whl (27 kB)
Requirement already satisfied: numpy in ./miniconda3/envs/pytorch/lib/python3.9/site-packages (from torchvision==0.14.1) (1.24.3)
Collecting pillow!=8.3.*,>=5.3.0
Downloading Pillow-9.5.0-cp39-cp39-manylinux_2_28_x86_64.whl (3.4 MB)
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Collecting requests
Downloading requests-2.29.0-py3-none-any.whl (62 kB)
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Requirement already satisfied: setuptools in ./miniconda3/envs/pytorch/lib/python3.9/site-packages (from nvidia-cublas-cu11==11.10.3.66->torch==1.13.1) (66.0.0)
Requirement already satisfied: wheel in ./miniconda3/envs/pytorch/lib/python3.9/site-packages (from nvidia-cublas-cu11==11.10.3.66->torch==1.13.1) (0.38.4)
Collecting idna<4,>=2.5
Downloading idna-3.4-py3-none-any.whl (61 kB)
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Collecting urllib3<1.27,>=1.21.1
Downloading urllib3-1.26.15-py2.py3-none-any.whl (140 kB)
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Collecting charset-normalizer<4,>=2
Downloading charset_normalizer-3.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (199 kB)
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Collecting certifi>=2017.4.17
Downloading certifi-2022.12.7-py3-none-any.whl (155 kB)
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Installing collected packages: urllib3, typing-extensions, pillow, nvidia-cuda-runtime-cu11, nvidia-cuda-nvrtc-cu11, nvidia-cublas-cu11, idna, charset-normalizer, certifi, requests, nvidia-cudnn-cu11, torch, torchvision
Successfully installed certifi-2022.12.7 charset-normalizer-3.1.0 idna-3.4 nvidia-cublas-cu11-11.10.3.66 nvidia-cuda-nvrtc-cu11-11.7.99 nvidia-cuda-runtime-cu11-11.7.99 nvidia-cudnn-cu11-8.5.0.96 pillow-9.5.0 requests-2.29.0 torch-1.13.1 torchvision-0.14.1 typing-extensions-4.5.0 urllib3-1.26.15
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv

Inizia con Intel_Extension_For_PyTorch_Hello_World.py nell’esempio Intel_Extension_For_PyTorch_GettingStarted e riproduci l’errore di importazione segnalato utilizzando le versioni dei pacchetti e i comandi di installazione nell’issue. Verifica la compatibilità di PyTorch, torchvision e Intel Extension for PyTorch, quindi verifica che l’esempio venga importato correttamente e venga eseguito nell’ambiente GPU.