[root@localhost ~]# nvidia-smi Wed Aug 16 13:15:11 2023 +---------------------------------------------------------------------------------------+ | NVIDIA-SMI 530.30.02 Driver Version: 530.30.02 CUDA Version: 12.1 | |-----------------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |=========================================+======================+======================| | 0 Tesla T4 On | 00000000:00:08.0 Off | 0 | | N/A 30C P8 9W / 70W| 2MiB / 15360MiB | 0% Default | | | | N/A | +-----------------------------------------+----------------------+----------------------+ | 1 Tesla T4 On | 00000000:00:09.0 Off | 0 | | N/A 30C P8 9W / 70W| 2MiB / 15360MiB | 0% Default | | | | N/A | +-----------------------------------------+----------------------+----------------------+ +---------------------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=======================================================================================| | No running processes found | +---------------------------------------------------------------------------------------+ [root@localhost ~]# pip3 list |grep tensorflow tensorflow 2.12.0 tensorflow-estimator 2.12.0 tensorflow-io-gcs-filesystem 0.32.0 [root@localhost ~]# rpm -qa |grep tensorflow libtensorflow_framework2-2.12.0-6.an23.x86_64 python3-tensorflow-io-gcs-filesystem-0.32.0-2.an23.x86_64 python3-tensorflow-estimator-2.12.0-1.an23.noarch tensorflow2-2.12.0-6.an23.x86_64 [root@localhost ~]# python Python 3.10.12 (main, Jun 7 2023, 00:00:00) [GCC 12.2.1 20221121 (Anolis OS 12.2.1-2)] on linux Type "help", "copyright", "credits" or "license" for more information. >>> import tensorflow 2023-08-16 13:56:29.614820: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: AVX512F, in other operations, rebuild TensorFlow with the appropriate compiler flags. Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/usr/lib64/python3.10/site-packages/tensorflow/__init__.py", line 37, in <module> from tensorflow.python.tools import module_util as _module_util File "/usr/lib64/python3.10/site-packages/tensorflow/python/__init__.py", line 37, in <module> from tensorflow.python.eager import context File "/usr/lib64/python3.10/site-packages/tensorflow/python/eager/context.py", line 28, in <module> from tensorflow.core.framework import function_pb2 File "/usr/lib64/python3.10/site-packages/tensorflow/core/framework/function_pb2.py", line 5, in <module> from google.protobuf.internal import builder as _builder ImportError: cannot import name 'builder' from 'google.protobuf.internal' (/usr/lib/python3.10/site-packages/google/protobuf/internal/__init__.py)
新建anolis23实例,安装后tensorflow可正常import. 出问题环境上通过pip安装了更低版本的protobuf。