Description
Issue type
Bug
Have you reproduced the bug with TensorFlow Nightly?
No
Source
binary
TensorFlow version
TF 2.16.1
Custom code
No
OS platform and distribution
Linux Ubuntu 22.04.4 LTS
Mobile device
No response
Python version
3.10.12
Bazel version
No response
GCC/compiler version
No response
CUDA/cuDNN version
12.4
GPU model and memory
No response
Current behavior?
I created a python venv in which I installed TF 2.16.1 following your instructions: pip install tensorflow
When I run python, import tf, and issue tf.config.list_physical_devices('GPU')
I get an empty list [ ]
I created another python venv, installed TF 2.16.1, only this time with the instructions:
python3 -m pip install tensorflow[and-cuda]
When I run that version, import tensorflow as tf, and issue
tf.config.list_physical_devices('GPU')
I also get an empty list.
BTW, I have no problems running on my box TF 2.15.1 with GPUs. Julia also works just fine with GPUs and so does PyTorch.
the
Standalone code to reproduce the issue
Python 3.10.12 (main, Nov 20 2023, 15:14:05) [GCC 11.4.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
2024-03-09 19:15:45.018171: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2024-03-09 19:15:50.412646: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
>>> tf.__version__
'2.16.1'
tf.config.list_physical_devices('GPU')
2024-03-09 19:16:28.923792: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:998] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355
2024-03-09 19:16:29.078379: W tensorflow/core/common_runtime/gpu/gpu_device.cc:2251] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.
Skipping registering GPU devices...
[]
>>>Relevant log output
No response