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Hi Nitin_Mane,
Thank you for your patience. I have reproduced the issue on my end, experiencing the same prolonged code execution (more than 5 hours in total) without success and also noting that the GPU is not detected when running xpu-smi discovery.
Fortunately, the issue was resolved by restarting the server. The codes now execute within a few seconds, allowing me to generate the images.
I kindly request you to attempt a resolution by restarting the server. This can be done by navigating to the File tab, selecting Hub Control Panel, clicking on Stop My Server, and subsequently Start My Server. Please let me know if the issue persist.
Regards,
Faiz
Hello Faiz,
Thank you for sharing the details.
As I can see all the libraries are working fine in your environment. I have been testing for over 10 hours with the rest files and doing the same process. I still have not had success in running any GenAI project file on Intel Developer Cloud.
I request you please take this issue and guide me on the process of how I can resolve this with the best method.
I can now access the GPU which in the previous I was able to provide the details
List of Intel GPUs available on the system: +-----------+--------------------------------------------------------------------------------------+ | Device ID | Device Information | +-----------+--------------------------------------------------------------------------------------+ | 0 | Device Name: Intel(R) Data Center GPU Max 1100 | | | Vendor Name: Intel(R) Corporation | | | UUID: 00000000-0000-0029-0000-002f0bda8086 | | | PCI BDF Address: 0000:29:00.0 | | | DRM Device: /dev/dri/card1 | | | Function Type: physical | +-----------+--------------------------------------------------------------------------------------+ | 1 | Device Name: Intel(R) Data Center GPU Max 1100 | | | Vendor Name: Intel(R) Corporation | | | UUID: 00000000-0000-003a-0000-002f0bda8086 | | | PCI BDF Address: 0000:3a:00.0 | | | DRM Device: /dev/dri/card2 | | | Function Type: physical | +-----------+--------------------------------------------------------------------------------------+ | 2 | Device Name: Intel(R) Data Center GPU Max 1100 | | | Vendor Name: Intel(R) Corporation | | | UUID: 00000000-0000-009a-0000-002f0bda8086 | | | PCI BDF Address: 0000:9a:00.0 | | | DRM Device: /dev/dri/card3 | | | Function Type: physical | +-----------+--------------------------------------------------------------------------------------+ | 3 | Device Name: Intel(R) Data Center GPU Max 1100 | | | Vendor Name: Intel(R) Corporation | | | UUID: 00000000-0000-00ca-0000-002f0bda8086 | | | PCI BDF Address: 0000:ca:00.0 | | | DRM Device: /dev/dri/card4 | | | Function Type: physical | +-----------+--------------------------------------------------------------------------------------+ Intel Xeon CPU used by this notebook: Model name: Intel(R) Xeon(R) Platinum 8480+
Apart from this I still face the same issue on the Pytorch GPU environment
Please check the screenshot.
Issue -
--------------------------------------------------------------------------- ImportError Traceback (most recent call last) Cell In[4], line 28 24 logging.getLogger("bigdl").setLevel(logging.ERROR) 27 import torch ---> 28 import intel_extension_for_pytorch as ipex 29 from datasets import load_dataset 30 from datasets import Dataset File ~/.local/lib/python3.9/site-packages/intel_extension_for_pytorch/__init__.py:94 90 raise err 92 kernel32.SetErrorMode(prev_error_mode) ---> 94 from .utils._proxy_module import * 95 from .utils.utils import has_cpu, has_xpu 97 if has_cpu(): File ~/.local/lib/python3.9/site-packages/intel_extension_for_pytorch/utils/_proxy_module.py:2 1 import torch ----> 2 import intel_extension_for_pytorch._C 5 # utils function to define base object proxy 6 def _proxy_module(name: str) -> type: ImportError: libmkl_sycl_blas.so.4: cannot open shared object file: No such file or directory
