Can't find device after installing intel pytorch 2.3.1 #702
Comments
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Follow this page: Sanity Test |
I just pass the sanity check(without setting OCL_ICD_VENDORS and CCL_ROOT) by installing ipex with a python venv instead of anaconda env, thanks for your reply. |
Great you passed the sanity check. Anaconda env and python venv just manage the software environment. There is no difference. You can double confirm or reinstall IPEX in anaconda follow this page: Anything I can help? |
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@bisjack |
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Indeed can not find Arc 770 on ipex 2.3.110. |
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Do you follow the instructions here to install your environment [IPEX installation](https://intel.github.io/intel-extension-for-pytorch/index.html#installation? What's packages in your conda environment. Could give the results of Do you have these packages installed? |
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Unfortunately I destroyed the conda env. Yes, I have followed above instructions to install ipex. |
@chsasank
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By oneapi toolkit, yes; |
@bisjack
Here listed IPEX installed oneAPI dependency packages for your reference: |
My oneapi version is 2024.2.1; /home/bjyuan/anaconda3/envs/ipex/lib/python3.10/site-packages/intel_extension_for_pytorch/llm/init.py:9: UserWarning: failed to use huggingface generation fuctions due to: No module named 'transformers'. :: initializing oneAPI environment ... (ipex) bjyuan@LM1:~/Desktop$ sycl-ls |
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@bisjack @chsasank Would you please run these two commands and feedback your environment info?
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1.ii intel-level-zero-gpu 1.3.29735.27-914 OS: Ubuntu 22.04.4 LTS (x86_64) Python version: 3.10.14 (main, May 6 2024, 19:42:50) [GCC 11.2.0] (64-bit runtime) Intel OpenCL ICD version: 24.22.29735.27-914 CPU: Versions of relevant libraries: |
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@bisjack One possible reason is the version of libstdc++.so is old.. run this command:
Some old version conda install ibstdc++.so.6.0.29, which make IPEX fail to find the device. If it is 6.0.29 in conda, please update it to 6.0.30 and version above by:
Thanks! |
Yes, that is the problem. After I update libstdc++.so(it was 6.0.29 indeed), ipex can find device. Thanks for your help! |
Describe the bug
sanity test:
python -c "import torch; import intel_extension_for_pytorch as ipex; print(torch.version); print(ipex.version); [print(f'[{i}]: {torch.xpu.get_device_properties(i)}') for i in range(torch.xpu.device_count())];"
/home/bjyuan/anaconda3/envs/ipex/lib/python3.10/site-packages/intel_extension_for_pytorch/llm/init.py:9: UserWarning: failed to use huggingface generation fuctions due to: No module named 'transformers'.
warnings.warn(f"failed to use huggingface generation fuctions due to: {e}.")
2.3.1+cxx11.abi
2.3.110+xpu
/home/bjyuan/anaconda3/envs/ipex/lib/python3.10/site-packages/torch/xpu/init.py:57: UserWarning: XPU device count is zero! (Triggered internally at /build/pytorch/c10/xpu/XPUFunctions.cpp:50.)
return torch._C._xpu_getDeviceCount()
while sycl-ls returns:
[opencl:cpu][opencl:0] Intel(R) OpenCL, 12th Gen Intel(R) Core(TM) i9-12900K OpenCL 3.0 (Build 0) [2024.18.7.0.11_160000]
[opencl:gpu][opencl:1] Intel(R) OpenCL Graphics, Intel(R) Arc(TM) A770 Graphics OpenCL 3.0 NEO [24.22.29735.27]
[opencl:gpu][opencl:2] Intel(R) OpenCL Graphics, Intel(R) UHD Graphics 770 OpenCL 3.0 NEO [24.22.29735.27]
[level_zero:gpu][level_zero:0] Intel(R) Level-Zero, Intel(R) Arc(TM) A770 Graphics 1.3 [1.3.29735]
[level_zero:gpu][level_zero:1] Intel(R) Level-Zero, Intel(R) UHD Graphics 770 1.3 [1.3.29735]
Versions
/home/bjyuan/anaconda3/envs/ipex/lib/python3.10/site-packages/intel_extension_for_pytorch/llm/init.py:9: UserWarning: failed to use huggingface generation fuctions due to: No module named 'transformers'.
warnings.warn(f"failed to use huggingface generation fuctions due to: {e}.")
Collecting environment information...
/home/bjyuan/anaconda3/envs/ipex/lib/python3.10/site-packages/torch/xpu/init.py:57: UserWarning: XPU device count is zero! (Triggered internally at /build/pytorch/c10/xpu/XPUFunctions.cpp:50.)
return torch._C._xpu_getDeviceCount()
PyTorch version: 2.3.1+cxx11.abi
PyTorch CXX11 ABI: Yes
IPEX version: 2.3.110+xpu
IPEX commit: 95c9459
Build type: Release
OS: Ubuntu 22.04.4 LTS (x86_64)
GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
Clang version: N/A
IGC version: 2024.2.1 (2024.2.1.20240711)
CMake version: N/A
Libc version: glibc-2.35
Python version: 3.10.14 (main, May 6 2024, 19:42:50) [GCC 11.2.0] (64-bit runtime)
Python platform: Linux-6.8.0-40-generic-x86_64-with-glibc2.35
Is XPU available: False
DPCPP runtime version: 2024.2
MKL version: 2024.2
GPU models and configuration:
Intel OpenCL ICD version: 24.22.29735.27-914
22.0422.04Level Zero version: 1.3.29735.27-914
CPU:
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Address sizes: 46 bits physical, 48 bits virtual
Byte Order: Little Endian
CPU(s): 24
On-line CPU(s) list: 0-23
Vendor ID: GenuineIntel
Model name: 12th Gen Intel(R) Core(TM) i9-12900K
CPU family: 6
Model: 151
Thread(s) per core: 2
Core(s) per socket: 16
Socket(s): 1
Stepping: 2
CPU max MHz: 5200.0000
CPU min MHz: 800.0000
BogoMIPS: 6374.40
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf tsc_known_freq pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault ssbd ibrs ibpb stibp ibrs_enhanced tpr_shadow flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid rdseed adx smap clflushopt clwb intel_pt sha_ni xsaveopt xsavec xgetbv1 xsaves split_lock_detect user_shstk avx_vnni dtherm ida arat pln pts hwp hwp_notify hwp_act_window hwp_epp hwp_pkg_req hfi vnmi umip pku ospke waitpkg gfni vaes vpclmulqdq tme rdpid movdiri movdir64b fsrm md_clear serialize pconfig arch_lbr ibt flush_l1d arch_capabilities
Virtualization: VT-x
L1d cache: 640 KiB (16 instances)
L1i cache: 768 KiB (16 instances)
L2 cache: 14 MiB (10 instances)
L3 cache: 30 MiB (1 instance)
NUMA node(s): 1
NUMA node0 CPU(s): 0-23
Vulnerability Gather data sampling: Not affected
Vulnerability Itlb multihit: Not affected
Vulnerability L1tf: Not affected
Vulnerability Mds: Not affected
Vulnerability Meltdown: Not affected
Vulnerability Mmio stale data: Not affected
Vulnerability Reg file data sampling: Mitigation; Clear Register File
Vulnerability Retbleed: Not affected
Vulnerability Spec rstack overflow: Not affected
Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl
Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2: Mitigation; Enhanced / Automatic IBRS; IBPB conditional; RSB filling; PBRSB-eIBRS SW sequence; BHI BHI_DIS_S
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Not affected
Versions of relevant libraries:
[pip3] intel_extension_for_pytorch==2.3.110+xpu
[pip3] numpy==2.1.1
[pip3] torch==2.3.1+cxx11.abi
[pip3] torchaudio==2.3.1+cxx11.abi
[pip3] torchvision==0.18.1+cxx11.abi
[conda] intel-extension-for-pytorch 2.3.110+xpu pypi_0 pypi
[conda] mkl 2024.2.1 pypi_0 pypi
[conda] mkl-dpcpp 2024.2.1 pypi_0 pypi
[conda] numpy 2.1.1 pypi_0 pypi
[conda] onemkl-sycl-blas 2024.2.1 pypi_0 pypi
[conda] onemkl-sycl-datafitting 2024.2.1 pypi_0 pypi
[conda] onemkl-sycl-dft 2024.2.1 pypi_0 pypi
[conda] onemkl-sycl-lapack 2024.2.1 pypi_0 pypi
[conda] onemkl-sycl-rng 2024.2.1 pypi_0 pypi
[conda] onemkl-sycl-sparse 2024.2.1 pypi_0 pypi
[conda] onemkl-sycl-stats 2024.2.1 pypi_0 pypi
[conda] onemkl-sycl-vm 2024.2.1 pypi_0 pypi
[conda] torch 2.3.1+cxx11.abi pypi_0 pypi
[conda] torchaudio 2.3.1+cxx11.abi pypi_0 pypi
[conda] torchvision 0.18.1+cxx11.abi pypi_0 pypi
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