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Nvidia GPU support and missing TensorRT #596

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jonbry opened this issue Apr 19, 2024 · 2 comments
Closed

Nvidia GPU support and missing TensorRT #596

jonbry opened this issue Apr 19, 2024 · 2 comments

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@jonbry
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jonbry commented Apr 19, 2024

I am trying to get TensorFlow setup on a computer running Ubuntu (I'm also new to Ubuntu) and I'm having some issues getting GPU support working. I followed the instructions on the TensorFlow for R website for local GPU but I can't seem to get it to work properly. Is there a difference between cuda-keyring_1.0-1_all.deb and cuda-keyring_1.1-1_all.deb? I noticed the instructions mention both:

wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.0-1_all.deb
sudo dpkg -i cuda-keyring_1.1-1_all.deb

It doesn't seem to work with 1.0-1. After installing the developer version of Tensorflow, I get the following:

2024-04-19 11:49:26.801584: 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.
2024-04-19 11:49:27.467835: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT

When I run tensorflow::as_tensor(1), I get the following:

2024-04-19 11:50:15.874696: 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
2024-04-19 11:50:15.901419: 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...
tf.Tensor(1.0, shape=(), dtype=float64)

Also, tf$config$list_physical_devices("GPU") returns an empty list.

Here's the output of tensorflow::install_tensorflow():

Virtual environment 'r-tensorflow' removed.
Using Python: /home/<user_name>/.pyenv/versions/3.10.14/bin/python3.10
Creating virtual environment 'r-tensorflow' ... 
+ /home/<user_name>/.pyenv/versions/3.10.14/bin/python3.10 -m venv /home/<user_name>/.virtualenvs/r-tensorflow
Done!
Installing packages: pip, wheel, setuptools
+ /home/<user_name>/.virtualenvs/r-tensorflow/bin/python -m pip install --upgrade pip wheel setuptools
Requirement already satisfied: pip in /home/<user_name>/.virtualenvs/r-tensorflow/lib/python3.10/site-packages (23.0.1)
Collecting pip
  Using cached pip-24.0-py3-none-any.whl (2.1 MB)
Collecting wheel
  Using cached wheel-0.43.0-py3-none-any.whl (65 kB)
Requirement already satisfied: setuptools in /home/<user_name>/.virtualenvs/r-tensorflow/lib/python3.10/site-packages (65.5.0)
Collecting setuptools
  Using cached setuptools-69.5.1-py3-none-any.whl (894 kB)
Installing collected packages: wheel, setuptools, pip
  Attempting uninstall: setuptools
    Found existing installation: setuptools 65.5.0
    Uninstalling setuptools-65.5.0:
      Successfully uninstalled setuptools-65.5.0
  Attempting uninstall: pip
    Found existing installation: pip 23.0.1
    Uninstalling pip-23.0.1:
      Successfully uninstalled pip-23.0.1
Successfully installed pip-24.0 setuptools-69.5.1 wheel-0.43.0
Virtual environment 'r-tensorflow' successfully created.
Using virtual environment 'r-tensorflow' ...
+ /home/<user_name>/.virtualenvs/r-tensorflow/bin/python -m pip install --upgrade --no-user 'tensorflow[and-cuda]==2.16.*'
Collecting tensorflow==2.16.* (from tensorflow[and-cuda]==2.16.*)
  Using cached tensorflow-2.16.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (4.3 kB)
Collecting absl-py>=1.0.0 (from tensorflow==2.16.*->tensorflow[and-cuda]==2.16.*)
  Using cached absl_py-2.1.0-py3-none-any.whl.metadata (2.3 kB)
Collecting astunparse>=1.6.0 (from tensorflow==2.16.*->tensorflow[and-cuda]==2.16.*)
  Using cached astunparse-1.6.3-py2.py3-none-any.whl.metadata (4.4 kB)
Collecting flatbuffers>=23.5.26 (from tensorflow==2.16.*->tensorflow[and-cuda]==2.16.*)
  Using cached flatbuffers-24.3.25-py2.py3-none-any.whl.metadata (850 bytes)
Collecting gast!=0.5.0,!=0.5.1,!=0.5.2,>=0.2.1 (from tensorflow==2.16.*->tensorflow[and-cuda]==2.16.*)
  Using cached gast-0.5.4-py3-none-any.whl.metadata (1.3 kB)
Collecting google-pasta>=0.1.1 (from tensorflow==2.16.*->tensorflow[and-cuda]==2.16.*)
  Using cached google_pasta-0.2.0-py3-none-any.whl.metadata (814 bytes)
Collecting h5py>=3.10.0 (from tensorflow==2.16.*->tensorflow[and-cuda]==2.16.*)
  Using cached h5py-3.11.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.5 kB)
Collecting libclang>=13.0.0 (from tensorflow==2.16.*->tensorflow[and-cuda]==2.16.*)
  Using cached libclang-18.1.1-py2.py3-none-manylinux2010_x86_64.whl.metadata (5.2 kB)
Collecting ml-dtypes~=0.3.1 (from tensorflow==2.16.*->tensorflow[and-cuda]==2.16.*)
  Using cached ml_dtypes-0.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (20 kB)
Collecting opt-einsum>=2.3.2 (from tensorflow==2.16.*->tensorflow[and-cuda]==2.16.*)
  Using cached opt_einsum-3.3.0-py3-none-any.whl.metadata (6.5 kB)
Collecting packaging (from tensorflow==2.16.*->tensorflow[and-cuda]==2.16.*)
  Using cached packaging-24.0-py3-none-any.whl.metadata (3.2 kB)
Collecting protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3 (from tensorflow==2.16.*->tensorflow[and-cuda]==2.16.*)
  Using cached protobuf-4.25.3-cp37-abi3-manylinux2014_x86_64.whl.metadata (541 bytes)
Collecting requests<3,>=2.21.0 (from tensorflow==2.16.*->tensorflow[and-cuda]==2.16.*)
  Using cached requests-2.31.0-py3-none-any.whl.metadata (4.6 kB)
Requirement already satisfied: setuptools in /home/<user_name>/.virtualenvs/r-tensorflow/lib/python3.10/site-packages (from tensorflow==2.16.*->tensorflow[and-cuda]==2.16.*) (69.5.1)
Collecting six>=1.12.0 (from tensorflow==2.16.*->tensorflow[and-cuda]==2.16.*)
  Using cached six-1.16.0-py2.py3-none-any.whl.metadata (1.8 kB)
Collecting termcolor>=1.1.0 (from tensorflow==2.16.*->tensorflow[and-cuda]==2.16.*)
  Using cached termcolor-2.4.0-py3-none-any.whl.metadata (6.1 kB)
Collecting typing-extensions>=3.6.6 (from tensorflow==2.16.*->tensorflow[and-cuda]==2.16.*)
  Using cached typing_extensions-4.11.0-py3-none-any.whl.metadata (3.0 kB)
Collecting wrapt>=1.11.0 (from tensorflow==2.16.*->tensorflow[and-cuda]==2.16.*)
  Using cached wrapt-1.16.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (6.6 kB)
Collecting grpcio<2.0,>=1.24.3 (from tensorflow==2.16.*->tensorflow[and-cuda]==2.16.*)
  Using cached grpcio-1.62.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (4.0 kB)
Collecting tensorboard<2.17,>=2.16 (from tensorflow==2.16.*->tensorflow[and-cuda]==2.16.*)
  Using cached tensorboard-2.16.2-py3-none-any.whl.metadata (1.6 kB)
Collecting keras>=3.0.0 (from tensorflow==2.16.*->tensorflow[and-cuda]==2.16.*)
  Using cached keras-3.2.1-py3-none-any.whl.metadata (5.6 kB)
Collecting tensorflow-io-gcs-filesystem>=0.23.1 (from tensorflow==2.16.*->tensorflow[and-cuda]==2.16.*)
  Using cached tensorflow_io_gcs_filesystem-0.36.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (14 kB)
Collecting numpy<2.0.0,>=1.23.5 (from tensorflow==2.16.*->tensorflow[and-cuda]==2.16.*)
  Using cached numpy-1.26.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (61 kB)
Collecting nvidia-cublas-cu12==12.3.4.1 (from tensorflow[and-cuda]==2.16.*)
  Using cached nvidia_cublas_cu12-12.3.4.1-py3-none-manylinux1_x86_64.whl.metadata (1.5 kB)
Collecting nvidia-cuda-cupti-cu12==12.3.101 (from tensorflow[and-cuda]==2.16.*)
  Using cached nvidia_cuda_cupti_cu12-12.3.101-py3-none-manylinux1_x86_64.whl.metadata (1.6 kB)
Collecting nvidia-cuda-nvcc-cu12==12.3.107 (from tensorflow[and-cuda]==2.16.*)
  Using cached nvidia_cuda_nvcc_cu12-12.3.107-py3-none-manylinux1_x86_64.whl.metadata (1.5 kB)
Collecting nvidia-cuda-nvrtc-cu12==12.3.107 (from tensorflow[and-cuda]==2.16.*)
  Using cached nvidia_cuda_nvrtc_cu12-12.3.107-py3-none-manylinux1_x86_64.whl.metadata (1.5 kB)
Collecting nvidia-cuda-runtime-cu12==12.3.101 (from tensorflow[and-cuda]==2.16.*)
  Using cached nvidia_cuda_runtime_cu12-12.3.101-py3-none-manylinux1_x86_64.whl.metadata (1.5 kB)
Collecting nvidia-cudnn-cu12==8.9.7.29 (from tensorflow[and-cuda]==2.16.*)
  Using cached nvidia_cudnn_cu12-8.9.7.29-py3-none-manylinux1_x86_64.whl.metadata (1.6 kB)
Collecting nvidia-cufft-cu12==11.0.12.1 (from tensorflow[and-cuda]==2.16.*)
  Using cached nvidia_cufft_cu12-11.0.12.1-py3-none-manylinux1_x86_64.whl.metadata (1.5 kB)
Collecting nvidia-curand-cu12==10.3.4.107 (from tensorflow[and-cuda]==2.16.*)
  Using cached nvidia_curand_cu12-10.3.4.107-py3-none-manylinux1_x86_64.whl.metadata (1.5 kB)
Collecting nvidia-cusolver-cu12==11.5.4.101 (from tensorflow[and-cuda]==2.16.*)
  Using cached nvidia_cusolver_cu12-11.5.4.101-py3-none-manylinux1_x86_64.whl.metadata (1.6 kB)
Collecting nvidia-cusparse-cu12==12.2.0.103 (from tensorflow[and-cuda]==2.16.*)
  Using cached nvidia_cusparse_cu12-12.2.0.103-py3-none-manylinux1_x86_64.whl.metadata (1.6 kB)
Collecting nvidia-nccl-cu12==2.19.3 (from tensorflow[and-cuda]==2.16.*)
  Using cached nvidia_nccl_cu12-2.19.3-py3-none-manylinux1_x86_64.whl.metadata (1.8 kB)
Collecting nvidia-nvjitlink-cu12==12.3.101 (from tensorflow[and-cuda]==2.16.*)
  Using cached nvidia_nvjitlink_cu12-12.3.101-py3-none-manylinux1_x86_64.whl.metadata (1.5 kB)
Requirement already satisfied: wheel<1.0,>=0.23.0 in /home/<user_name>/.virtualenvs/r-tensorflow/lib/python3.10/site-packages (from astunparse>=1.6.0->tensorflow==2.16.*->tensorflow[and-cuda]==2.16.*) (0.43.0)
Collecting rich (from keras>=3.0.0->tensorflow==2.16.*->tensorflow[and-cuda]==2.16.*)
  Using cached rich-13.7.1-py3-none-any.whl.metadata (18 kB)
Collecting namex (from keras>=3.0.0->tensorflow==2.16.*->tensorflow[and-cuda]==2.16.*)
  Using cached namex-0.0.8-py3-none-any.whl.metadata (246 bytes)
Collecting optree (from keras>=3.0.0->tensorflow==2.16.*->tensorflow[and-cuda]==2.16.*)
  Using cached optree-0.11.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (45 kB)
Collecting charset-normalizer<4,>=2 (from requests<3,>=2.21.0->tensorflow==2.16.*->tensorflow[and-cuda]==2.16.*)
  Using cached charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (33 kB)
Collecting idna<4,>=2.5 (from requests<3,>=2.21.0->tensorflow==2.16.*->tensorflow[and-cuda]==2.16.*)
  Using cached idna-3.7-py3-none-any.whl.metadata (9.9 kB)
Collecting urllib3<3,>=1.21.1 (from requests<3,>=2.21.0->tensorflow==2.16.*->tensorflow[and-cuda]==2.16.*)
  Using cached urllib3-2.2.1-py3-none-any.whl.metadata (6.4 kB)
Collecting certifi>=2017.4.17 (from requests<3,>=2.21.0->tensorflow==2.16.*->tensorflow[and-cuda]==2.16.*)
  Using cached certifi-2024.2.2-py3-none-any.whl.metadata (2.2 kB)
Collecting markdown>=2.6.8 (from tensorboard<2.17,>=2.16->tensorflow==2.16.*->tensorflow[and-cuda]==2.16.*)
  Using cached Markdown-3.6-py3-none-any.whl.metadata (7.0 kB)
Collecting tensorboard-data-server<0.8.0,>=0.7.0 (from tensorboard<2.17,>=2.16->tensorflow==2.16.*->tensorflow[and-cuda]==2.16.*)
  Using cached tensorboard_data_server-0.7.2-py3-none-manylinux_2_31_x86_64.whl.metadata (1.1 kB)
Collecting werkzeug>=1.0.1 (from tensorboard<2.17,>=2.16->tensorflow==2.16.*->tensorflow[and-cuda]==2.16.*)
  Using cached werkzeug-3.0.2-py3-none-any.whl.metadata (4.1 kB)
Collecting MarkupSafe>=2.1.1 (from werkzeug>=1.0.1->tensorboard<2.17,>=2.16->tensorflow==2.16.*->tensorflow[and-cuda]==2.16.*)
  Using cached MarkupSafe-2.1.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (3.0 kB)
Collecting markdown-it-py>=2.2.0 (from rich->keras>=3.0.0->tensorflow==2.16.*->tensorflow[and-cuda]==2.16.*)
  Using cached markdown_it_py-3.0.0-py3-none-any.whl.metadata (6.9 kB)
Collecting pygments<3.0.0,>=2.13.0 (from rich->keras>=3.0.0->tensorflow==2.16.*->tensorflow[and-cuda]==2.16.*)
  Using cached pygments-2.17.2-py3-none-any.whl.metadata (2.6 kB)
Collecting mdurl~=0.1 (from markdown-it-py>=2.2.0->rich->keras>=3.0.0->tensorflow==2.16.*->tensorflow[and-cuda]==2.16.*)
  Using cached mdurl-0.1.2-py3-none-any.whl.metadata (1.6 kB)
Using cached tensorflow-2.16.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (589.8 MB)
Using cached nvidia_cublas_cu12-12.3.4.1-py3-none-manylinux1_x86_64.whl (412.6 MB)
Using cached nvidia_cuda_cupti_cu12-12.3.101-py3-none-manylinux1_x86_64.whl (14.0 MB)
Using cached nvidia_cuda_nvcc_cu12-12.3.107-py3-none-manylinux1_x86_64.whl (22.0 MB)
Using cached nvidia_cuda_nvrtc_cu12-12.3.107-py3-none-manylinux1_x86_64.whl (24.9 MB)
Using cached nvidia_cuda_runtime_cu12-12.3.101-py3-none-manylinux1_x86_64.whl (867 kB)
Using cached nvidia_cudnn_cu12-8.9.7.29-py3-none-manylinux1_x86_64.whl (704.7 MB)
Using cached nvidia_cufft_cu12-11.0.12.1-py3-none-manylinux1_x86_64.whl (98.8 MB)
Using cached nvidia_curand_cu12-10.3.4.107-py3-none-manylinux1_x86_64.whl (56.3 MB)
Using cached nvidia_cusolver_cu12-11.5.4.101-py3-none-manylinux1_x86_64.whl (125.2 MB)
Using cached nvidia_cusparse_cu12-12.2.0.103-py3-none-manylinux1_x86_64.whl (197.5 MB)
Using cached nvidia_nccl_cu12-2.19.3-py3-none-manylinux1_x86_64.whl (166.0 MB)
Using cached nvidia_nvjitlink_cu12-12.3.101-py3-none-manylinux1_x86_64.whl (20.5 MB)
Using cached absl_py-2.1.0-py3-none-any.whl (133 kB)
Using cached astunparse-1.6.3-py2.py3-none-any.whl (12 kB)
Using cached flatbuffers-24.3.25-py2.py3-none-any.whl (26 kB)
Using cached gast-0.5.4-py3-none-any.whl (19 kB)
Using cached google_pasta-0.2.0-py3-none-any.whl (57 kB)
Using cached grpcio-1.62.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.5 MB)
Using cached h5py-3.11.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.3 MB)
Using cached keras-3.2.1-py3-none-any.whl (1.1 MB)
Using cached libclang-18.1.1-py2.py3-none-manylinux2010_x86_64.whl (24.5 MB)
Using cached ml_dtypes-0.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.2 MB)
Using cached numpy-1.26.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB)
Using cached opt_einsum-3.3.0-py3-none-any.whl (65 kB)
Using cached protobuf-4.25.3-cp37-abi3-manylinux2014_x86_64.whl (294 kB)
Using cached requests-2.31.0-py3-none-any.whl (62 kB)
Using cached six-1.16.0-py2.py3-none-any.whl (11 kB)
Using cached tensorboard-2.16.2-py3-none-any.whl (5.5 MB)
Using cached tensorflow_io_gcs_filesystem-0.36.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.1 MB)
Using cached termcolor-2.4.0-py3-none-any.whl (7.7 kB)
Using cached typing_extensions-4.11.0-py3-none-any.whl (34 kB)
Using cached wrapt-1.16.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (80 kB)
Using cached packaging-24.0-py3-none-any.whl (53 kB)
Using cached certifi-2024.2.2-py3-none-any.whl (163 kB)
Using cached charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (142 kB)
Using cached idna-3.7-py3-none-any.whl (66 kB)
Using cached Markdown-3.6-py3-none-any.whl (105 kB)
Using cached tensorboard_data_server-0.7.2-py3-none-manylinux_2_31_x86_64.whl (6.6 MB)
Using cached urllib3-2.2.1-py3-none-any.whl (121 kB)
Using cached werkzeug-3.0.2-py3-none-any.whl (226 kB)
Using cached namex-0.0.8-py3-none-any.whl (5.8 kB)
Using cached optree-0.11.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (311 kB)
Using cached rich-13.7.1-py3-none-any.whl (240 kB)
Using cached markdown_it_py-3.0.0-py3-none-any.whl (87 kB)
Using cached MarkupSafe-2.1.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (25 kB)
Using cached pygments-2.17.2-py3-none-any.whl (1.2 MB)
Using cached mdurl-0.1.2-py3-none-any.whl (10.0 kB)
Installing collected packages: namex, libclang, flatbuffers, wrapt, urllib3, typing-extensions, termcolor, tensorflow-io-gcs-filesystem, tensorboard-data-server, six, pygments, protobuf, packaging, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-nvcc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, numpy, mdurl, MarkupSafe, markdown, idna, grpcio, gast, charset-normalizer, certifi, absl-py, werkzeug, requests, optree, opt-einsum, nvidia-cusparse-cu12, nvidia-cudnn-cu12, ml-dtypes, markdown-it-py, h5py, google-pasta, astunparse, tensorboard, rich, nvidia-cusolver-cu12, keras, tensorflow
Successfully installed MarkupSafe-2.1.5 absl-py-2.1.0 astunparse-1.6.3 certifi-2024.2.2 charset-normalizer-3.3.2 flatbuffers-24.3.25 gast-0.5.4 google-pasta-0.2.0 grpcio-1.62.2 h5py-3.11.0 idna-3.7 keras-3.2.1 libclang-18.1.1 markdown-3.6 markdown-it-py-3.0.0 mdurl-0.1.2 ml-dtypes-0.3.2 namex-0.0.8 numpy-1.26.4 nvidia-cublas-cu12-12.3.4.1 nvidia-cuda-cupti-cu12-12.3.101 nvidia-cuda-nvcc-cu12-12.3.107 nvidia-cuda-nvrtc-cu12-12.3.107 nvidia-cuda-runtime-cu12-12.3.101 nvidia-cudnn-cu12-8.9.7.29 nvidia-cufft-cu12-11.0.12.1 nvidia-curand-cu12-10.3.4.107 nvidia-cusolver-cu12-11.5.4.101 nvidia-cusparse-cu12-12.2.0.103 nvidia-nccl-cu12-2.19.3 nvidia-nvjitlink-cu12-12.3.101 opt-einsum-3.3.0 optree-0.11.0 packaging-24.0 protobuf-4.25.3 pygments-2.17.2 requests-2.31.0 rich-13.7.1 six-1.16.0 tensorboard-2.16.2 tensorboard-data-server-0.7.2 tensorflow-2.16.1 tensorflow-io-gcs-filesystem-0.36.0 termcolor-2.4.0 typing-extensions-4.11.0 urllib3-2.2.1 werkzeug-3.0.2 wrapt-1.16.0
creating symlinks:
- '/home/<user_name>/.virtualenvs/r-tensorflow/lib/python3.10/site-packages/tensorflow/libcudnn_adv_infer.so.8' -> '../nvidia/cudnn/lib/libcudnn_adv_infer.so.8'
- '/home/<user_name>/.virtualenvs/r-tensorflow/lib/python3.10/site-packages/tensorflow/libcudnn_adv_train.so.8' -> '../nvidia/cudnn/lib/libcudnn_adv_train.so.8'
- '/home/<user_name>/.virtualenvs/r-tensorflow/lib/python3.10/site-packages/tensorflow/libcudnn_cnn_infer.so.8' -> '../nvidia/cudnn/lib/libcudnn_cnn_infer.so.8'
- '/home/<user_name>/.virtualenvs/r-tensorflow/lib/python3.10/site-packages/tensorflow/libcudnn_cnn_train.so.8' -> '../nvidia/cudnn/lib/libcudnn_cnn_train.so.8'
- '/home/<user_name>/.virtualenvs/r-tensorflow/lib/python3.10/site-packages/tensorflow/libcudnn_ops_infer.so.8' -> '../nvidia/cudnn/lib/libcudnn_ops_infer.so.8'
- '/home/<user_name>/.virtualenvs/r-tensorflow/lib/python3.10/site-packages/tensorflow/libcudnn_ops_train.so.8' -> '../nvidia/cudnn/lib/libcudnn_ops_train.so.8'
- '/home/<user_name>/.virtualenvs/r-tensorflow/lib/python3.10/site-packages/tensorflow/libcudnn.so.8' -> '../nvidia/cudnn/lib/libcudnn.so.8'
- '/home/<user_name>/.virtualenvs/r-tensorflow/bin/ptxas' -> '../../lib/python3.10/site-packages/nvidia/cuda_nvcc/bin/ptxas'

Installation complete.
Restarting R session...

Based on a previous issue, I don't think missing TensorRT is going to be an issue for me, but I wasn't sure if it was relevant to this or not.

Let me know if there is any additional information that I can provide to help troubleshoot the issue.

Thank you!
@t-kalinowski
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Do you have a cuda drivers installed?
i.e., have you run something like

sudo apt install cuda-drivers cuda-toolkit

@jonbry
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jonbry commented Apr 19, 2024

Thanks for the quick reply! I thought I had downloaded the cuda drivers but I guess not. Everything looks to be working now.

@jonbry jonbry closed this as completed Apr 19, 2024
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