wingsoreo.blogg.se - Install tensorflow anaconda 2.7

#INSTALL TENSORFLOW ANACONDA 2.7 HOW TO#
#INSTALL TENSORFLOW ANACONDA 2.7 INSTALL#

This problem is not just a techie point, it does have deep implication for businesses that do real products. TF 2.7, not conda, specifically broke that by ignoring the os loading mechanism for an unknown/undocumented reason.Until TF 2.7 this was the way it worked, like the gazillion other native apps (including cuda ones).

#INSTALL TENSORFLOW ANACONDA 2.7 INSTALL#

A conda environment does install native libraries and does ensure they will be found by the os dynamic loader mechanism for the programs that want to find these libraries.

I don't want to be dismissive here, but there is a lack of understanding of the problem specifically introduced by TF 2.7:

Briefly describe your candidate solution(if contributing):.

Do you want to contribute a PR? (yes/no): no.

TensorFlow should detect cuda/cudnn libraries installed through conda, as it did in TensorFlow<2.7. It would be better if TensorFlow just detected the conda installed libraries, as it did in TensorFlow < 2.7. However, obviously this is not ideal, as it needs to be repeated/adjusted for every new conda environment. The problem can be worked around by manually adding the conda lib directory to LD_LIBRARY_PATH ( export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$CONDA_PREFIX/lib).

Installing TensorFlow 2.6 (or earlier) in the same environment, with the same cuda/cudnn installation, doesn't show any problem, it detects the libraries and GPU support works as expected. Tup the required libraries for your platform.

#INSTALL TENSORFLOW ANACONDA 2.7 HOW TO#

Follow the guide at for how to download and se Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. 14:49:22.641120: W tensorflow/core/common_runtime/gpu/gpu_:1850] Cannot dlopen some GPU libraries. 14:49:22.641099: W tensorflow/stream_executor/platform/default/dso_:64] Could not load dynamic library 'libcudnn.so.8' dlerror: libcudnn.so.8: cannot open shared object file: No such file or directory

14:49:22.641022: W tensorflow/stream_executor/platform/default/dso_:64] Could not load dynamic library 'libcusparse.so.11' dlerror: libcusparse.so.11: cannot open shared object file: No such file or directory 14:49:22.640941: W tensorflow/stream_executor/platform/default/dso_:64] Could not load dynamic library 'libcusolver.so.11' dlerror: libcusolver.so.11: cannot open shared object file: No such file or directory 14:49:22.640853: W tensorflow/stream_executor/platform/default/dso_:64] Could not load dynamic library 'libcurand.so.10' dlerror: libcurand.so.10: cannot open shared object file: No such file or directory 14:49:22.640776: W tensorflow/stream_executor/platform/default/dso_:64] Could not load dynamic library 'libcufft.so.10' dlerror: libcufft.so.10: cannot open shared object file: No such file or directory 14:49:22.640698: W tensorflow/stream_executor/platform/default/dso_:64] Could not load dynamic library 'libcublasLt.so.11' dlerror: libcublasLt.so.11: cannot open shared object file: No such file or directory 14:49:22.640617: W tensorflow/stream_executor/platform/default/dso_:64] Could not load dynamic library 'libcublas.so.11' dlerror: libcublas.so.11: cannot open shared object file: No such file or directory 14:49:22.640508: W tensorflow/stream_executor/platform/default/dso_:64] Could not load dynamic library 'libcudart.so.11.0' dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory 14:49:16.413006: I tensorflow/stream_executor/cuda/cudart_:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine. 14:49:16.412959: W tensorflow/stream_executor/platform/default/dso_:64] Could not load dynamic library 'libcudart.so.11.0' dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory