Dyanmic Library not loading tensorflow-gpu #36294
Labels
stat:awaiting response
Status - Awaiting response from author
subtype: ubuntu/linux
Ubuntu/Linux Build/Installation Issues
TF 2.1
for tracking issues in 2.1 release
type:build/install
Build and install issues
So basically I want to leverage tensorflow-gpu since my gpu has a compute capability of 7.5. I went through all the steps that are on the tensorflow gpu installation for ubuntu website and for some reason I get this sort of message:
Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory
The steps, as mentioned before, are the same ones on the tensorflow-gpu install website:
To reproduce this, I am just using this code:
import tensorflow as tf
print("Num GPUs Available: ", len(tf.config.experimental.list_physical_devices('GPU')))
This is the full console output:
2020-01-28 21:41:28.276270: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libnvinfer.so.6 2020-01-28 21:41:28.277129: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libnvinfer_plugin.so.6 2020-01-28 21:41:28.595376: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1 2020-01-28 21:41:28.636979: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2020-01-28 21:41:28.637622: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1555] Found device 0 with properties: pciBusID: 0000:01:00.0 name: GeForce RTX 2080 Ti computeCapability: 7.5 coreClock: 1.65GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s 2020-01-28 21:41:28.637741: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory 2020-01-28 21:41:28.637802: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2020-01-28 21:41:28.638713: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2020-01-28 21:41:28.638860: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2020-01-28 21:41:28.639785: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2020-01-28 21:41:28.640301: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2020-01-28 21:41:28.640321: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2020-01-28 21:41:28.640326: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1592] 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... Num GPUs Available: 0
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