Hi,
I tried running Tiberius and it failed several times. I tried installing tensorflow 2.10 as stated,
https://github.com/Gaius-Augustus/Tiberius/blob/main/docs/install_tensorflow.md
and after doing the installation check, I got the following error message in conda:
python3 -c "import tensorflow as tf; print(tf.config.list_physical_devices('GPU'))"
2025-07-02 11:35:49.013384: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 AVX512F AVX512_VNNI FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2025-07-02 11:35:49.162298: I tensorflow/core/util/util.cc:169] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable TF_ENABLE_ONEDNN_OPTS=0.
2025-07-02 11:35:49.192731: E tensorflow/stream_executor/cuda/cuda_blas.cc:2981] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2025-07-02 11:35:50.762821: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: :/data/common/juanpablo.aguilar/apps/miniconda3/lib/:/data/common/juanpablo.aguilar/apps/miniconda3/envs/tf2_10/lib/
2025-07-02 11:35:50.763065: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: :/data/common/juanpablo.aguilar/apps/miniconda3/lib/:/data/common/juanpablo.aguilar/apps/miniconda3/envs/tf2_10/lib/
2025-07-02 11:35:50.763100: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.
2025-07-02 11:35:51.768417: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: :/data/common/juanpablo.aguilar/apps/miniconda3/lib/:/data/common/juanpablo.aguilar/apps/miniconda3/envs/tf2_10/lib/
2025-07-02 11:35:51.768453: W tensorflow/stream_executor/cuda/cuda_driver.cc:263] failed call to cuInit: UNKNOWN ERROR (303)
2025-07-02 11:35:51.768489: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (pirate.cas.hamptonu.edu): /proc/driver/nvidia/version does not exist
[]
I did the installation for a 2nd time since I thought I did it wrong or there was something different from the other instruction - which are identical, (both links seem to be for conda and under a different python setup), and I got the error.
Did I miss something?
Hope this can be fixed.
Hi,
I tried running Tiberius and it failed several times. I tried installing tensorflow 2.10 as stated,
https://github.com/Gaius-Augustus/Tiberius/blob/main/docs/install_tensorflow.md
and after doing the installation check, I got the following error message in conda:
python3 -c "import tensorflow as tf; print(tf.config.list_physical_devices('GPU'))"
2025-07-02 11:35:49.013384: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 AVX512F AVX512_VNNI FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2025-07-02 11:35:49.162298: I tensorflow/core/util/util.cc:169] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable
TF_ENABLE_ONEDNN_OPTS=0.2025-07-02 11:35:49.192731: E tensorflow/stream_executor/cuda/cuda_blas.cc:2981] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2025-07-02 11:35:50.762821: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: :/data/common/juanpablo.aguilar/apps/miniconda3/lib/:/data/common/juanpablo.aguilar/apps/miniconda3/envs/tf2_10/lib/
2025-07-02 11:35:50.763065: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: :/data/common/juanpablo.aguilar/apps/miniconda3/lib/:/data/common/juanpablo.aguilar/apps/miniconda3/envs/tf2_10/lib/
2025-07-02 11:35:50.763100: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.
2025-07-02 11:35:51.768417: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: :/data/common/juanpablo.aguilar/apps/miniconda3/lib/:/data/common/juanpablo.aguilar/apps/miniconda3/envs/tf2_10/lib/
2025-07-02 11:35:51.768453: W tensorflow/stream_executor/cuda/cuda_driver.cc:263] failed call to cuInit: UNKNOWN ERROR (303)
2025-07-02 11:35:51.768489: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (pirate.cas.hamptonu.edu): /proc/driver/nvidia/version does not exist
[]
I did the installation for a 2nd time since I thought I did it wrong or there was something different from the other instruction - which are identical, (both links seem to be for conda and under a different python setup), and I got the error.
Did I miss something?
Hope this can be fixed.