smiletm/tensorflow2.x-gpu-cuda9.0

Tensorflow2.0-GPU-CUDA9.0

Tensorflow2.X-GPU-CUDA9.0

Tensorflow2.X-GPU-CUDA9.0

This Tensorflow2.X-GPU-CUDA9.0 is bazeled from the sorce code of Google.

Install

If you have configured cuda9 and cudnn in your .bashrc, you can skip to Third step.

First

Create cuda9.0 environment by conda

conda create -n cuda9.0
conda activate cuda9.0
conda install cudatoolkit=9.0 cudnn=7.6.0 cupti

Second

Add dependency in .bashrc

Use conda env list find the path of cuda9.0

conda env list

(tf2) wxy@sait:~$ conda info -e
# conda environments:
#
cuda9.0                  /disk1/lx/conda/envs/cuda9.0
mk                       /disk1/lx/conda/envs/mk

change the CONDA_ENV to your path of cuda9.0

add the following three lines of code in .bashrc

vim ~/.bashrc

export CONDA_ENV="/disk1/lx/conda/envs/cuda9.0"
export CUDA_HOME="$CUDA_HOME:$CONDA_ENV/lib"
export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:$CONDA_ENV/lib" 

Then source .bashrc in you terminal.

source ~/.bashrc

Third

Download and unzip the .whl file

Google-drive: tensorflow2.1-gpu-cudn9.0-py3.7

Google-drive: tensorflow2.0-gpu-cudn9.0-py3.7

Google-drive: tensorflow2.0-gpu-cudn9.0-py3.6

Google-drive: tensorflow2.0-gpu-cudn9.0-py3.5

Create a new env in conda(you can change test to your like)

conda create -n test python=3.7
conda activate test
pip install tensorflow-2.0.0-cp37-cp37m-linux_x86_64.whl

Test

python

import tensorflow as tf
tf.test.is_gpu_available()

If it shows True, congratulations.

Error

W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libcusolver.so.9.0';.....undefined symbol: GOMP_critical_end;

If you have this error, please add follow code in your code.

import tensorflow as tf
import ctypes
ctypes.CDLL("libgomp.so.1", mode=ctypes.RTLD_GLOBAL)

tf.test.is_gpu_available()

If it works , please give me a star.

Thank you!

How to install tensorflow2.X-GPU in your cuda version?

you need to bazel from the source code of tensorflow in your machine.

Reference

SmileTM Blog

How to install tensorflow2.0 in cuda9?

tensorflow2.x-gpu-cuda9.0's Issues

求2.2版本 py3.8的编译

非常感谢！！！！！

Have you tried tensorflow2.3.0 ?

Thanks for your sharing. I followed your blog notes and have tried tensorflow2.3.0. but the error always occur.

My enviroment:

cuda9.0
tensorflow2.3.0

Error:

./tensorflow/stream_executor/lib/statusor_internals.h:165:76: error: invalid static_cast from type 'const Status {aka const tensorflow::Status}' to type 'stream_executor::port::Status& {aka tensorflow::Status&}'
Target //tensorflow/tools/pip_package:build_pip_package failed to build
Use --verbose_failures to see the command lines of failed build steps.
ERROR: /root/tensorflow-2.3.0/tensorflow/python/tools/BUILD:226:1 C++ compilation of rule '//tensorflow/core/kernels:conv_2d_gpu' failed (Exit 1)

Have you tried tensorflow2.3.0 ?

能分享百度云盘么？

google drive下载太慢，谢谢。

ImportError: /usr/lib64/libm.so.6: version `GLIBC_2.23'

Hi:
After I install the wheel and try to import TensorFlow, something went wrong.

python3.7安装tf2.1有报错，你有这种情况吗

No matching distribution found for tensorboard<2.2.0,>=2.1.0 (from tensorflow==2.1.0)
3.6版本应该能解决问题，但我想要tf2.1，请问你有解决方案吗

有编译好的Python3.5版本的Tensorflow2.0-GPU-CUDA9.0的whl吗？

如题，可以提供Python3.5版本的whl吗？谢谢~

Have tensorflow-addons-0.6.0 with python 3.6 whl file?

source project https://github.com/tensorflow/addons
Thanks~