# Official TensorFlow for Jetson AGX Xavier

**URL:** <https://forums.developer.nvidia.com/t/official-tensorflow-for-jetson-agx-xavier/65523>\
**Category:** Jetson AGX Xavier\
**Tags:** kb\
**Created:** [September 26, 2018, 2:11am UTC](https://forums.developer.nvidia.com/t/official-tensorflow-for-jetson-agx-xavier/65523 "2018-09-26T02:11:16Z")\
**Posts on this page:** 20\
**Page:** 1

<div class="post-metadata">

**Author:** ![AastaLLL](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/aastalll/32/14043_2.png) [@AastaLLL](https://forums.developer.nvidia.com/u/AastaLLL)\
**Post date:** [September 26, 2018, 2:11am UTC](https://forums.developer.nvidia.com/t/official-tensorflow-for-jetson-agx-xavier/65523/1 "2018-09-26T02:11:16Z")

</div>

Our official release of TensorFlow for Jetson AGX Xavier!

**Python 3.8+JetPack5.x**  
Please check below document for the installation instructions:

> **[Installing TensorFlow for Jetson Platform :: NVIDIA Deep Learning Frameworks...](https://docs.nvidia.com/deeplearning/frameworks/install-tf-jetson-platform/index.html)**
>
> This guide provides instructions for installing TensorFlow for Jetson Platform.

**Python 3.6+JetPack4.6.3**

```auto
$ sudo apt-get update
$ sudo apt-get install libhdf5-serial-dev hdf5-tools libhdf5-dev zlib1g-dev zip libjpeg8-dev liblapack-dev libblas-dev gfortran
$ sudo apt-get install python3-pip
$ sudo pip3 install -U pip testresources setuptools
$ sudo ln -s /usr/include/locale.h /usr/include/xlocale.h
$ sudo pip3 install -U numpy==1.19.4 future mock keras_preprocessing keras_applications gast==0.2.1 protobuf pybind11 cython pkgconfig packaging
$ sudo pip3 install --extra-index-url https://developer.download.nvidia.com/compute/redist/jp/v461 tensorflow

```

**Python 3.6+JetPack4.5**

```auto
sudo apt-get install libhdf5-serial-dev hdf5-tools libhdf5-dev zlib1g-dev zip libjpeg8-dev liblapack-dev libblas-dev gfortran
sudo apt-get install python3-pip
sudo pip3 install -U pip testresources setuptools==49.6.0
sudo pip3 install -U numpy==1.16.1 future==0.18.2 mock==3.0.5 h5py==2.10.0 keras_preprocessing==1.1.1 keras_applications==1.0.8 gast==0.2.2 futures protobuf pybind11
# TF-2.x
$ sudo pip3 install --pre --extra-index-url https://developer.download.nvidia.com/compute/redist/jp/v45 tensorflow
# TF-1.15
$ sudo pip3 install --pre --extra-index-url https://developer.download.nvidia.com/compute/redist/jp/v45 ‘tensorflow<2’

```

**Python 3.6+JetPack4.4**

```auto
sudo apt-get install libhdf5-serial-dev hdf5-tools libhdf5-dev zlib1g-dev zip libjpeg8-dev liblapack-dev libblas-dev gfortran
sudo apt-get install python3-pip
sudo pip3 install -U pip
sudo pip3 install -U pip testresources setuptools numpy==1.16.1 future==0.17.1 mock==3.0.5 h5py==2.9.0 keras_preprocessing==1.0.5 keras_applications==1.0.8 gast==0.2.2 futures protobuf pybind11
# TF-2.x
$ sudo pip3 install --pre --extra-index-url https://developer.download.nvidia.com/compute/redist/jp/v44 tensorflow==2.3.1+nv20.12
# TF-1.15
$ sudo pip3 install --pre --extra-index-url https://developer.download.nvidia.com/compute/redist/jp/v44 ‘tensorflow<2’

```

**Python 3.6+JetPack4.3**

```auto
sudo apt-get install libhdf5-serial-dev hdf5-tools libhdf5-dev zlib1g-dev zip libjpeg8-dev
sudo apt-get install python3-pip
sudo pip3 install -U pip
sudo pip3 install -U numpy grpcio absl-py py-cpuinfo psutil portpicker six mock requests gast h5py astor termcolor protobuf keras-applications keras-preprocessing wrapt google-pasta
# TF-2.x
$ sudo pip3 install --pre --extra-index-url https://developer.download.nvidia.com/compute/redist/jp/v43 tensorflow==2.1.0+nv20.3
# TF-1.15
$ sudo pip3 install --pre --extra-index-url https://developer.download.nvidia.com/compute/redist/jp/v43 tensorflow==1.15.2+nv20.3

```

**Python 3.6+JetPack4.2.1**

```auto
sudo pip3 install --pre --extra-index-url https://developer.download.nvidia.com/compute/redist/jp/v42 tensorflow-gpu==1.14.0+nv19.10

```

**Python 3.6+JetPack4.2**

```auto
sudo pip3 install --pre --extra-index-url https://developer.download.nvidia.com/compute/redist/jp/v42 tensorflow-gpu

```

**Python 3.6+JetPack4.1.1**

```auto
pip3 install --extra-index-url https://developer.download.nvidia.com/compute/redist/jp/v411 tensorflow-gpu==1.13.0rc0+nv19.2 --user

```

**Python 2.7+JetPack4.1.1**

```auto
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/jp/v411 tensorflow-gpu==1.13.0rc0+nv19.2 --user

```

If you meet error when installing h5py, please run this command to solve the dependency:

```auto
sudo apt-get install libhdf5-serial-dev hdf5-tools

```

DL frameworks - [https://developer.nvidia.com/deep-learning-frameworks](https://developer.nvidia.com/deep-learning-frameworks)  
Download - [https://developer.nvidia.com/embedded/downloads#?search=tensorflow](https://developer.nvidia.com/embedded/downloads#?search=tensorflow)  
Installation guide - [https://docs.nvidia.com/deeplearning/dgx/install-tf-xavier/index.html](https://docs.nvidia.com/deeplearning/dgx/install-tf-xavier/index.html)  
Release note - [https://docs.nvidia.com/deeplearning/dgx/install-tf-xavier-release-notes/index.html](https://docs.nvidia.com/deeplearning/dgx/install-tf-xavier-release-notes/index.html)

---

<div class="post-metadata">

**Author:** ![triston](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/triston/32/22050_2.png) [@triston](https://forums.developer.nvidia.com/u/triston)\
**Post date:** [October 1, 2018, 4:51pm UTC](https://forums.developer.nvidia.com/t/official-tensorflow-for-jetson-agx-xavier/65523/2 "2018-10-01T16:51:02Z")

</div>

The pip and pip3 are not installed in the jetpack 4.0EA. Please do:

```auto
sudo apt-get install python-pip

```

for pip  
or

```auto
sudo apt-get install python3-pip

```

for pip3

---

<div class="post-metadata">

**Author:** ![S4WRXTTCS](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@S4WRXTTCS](https://forums.developer.nvidia.com/u/S4WRXTTCS)\
**Post date:** [November 7, 2018, 5:51pm UTC](https://forums.developer.nvidia.com/t/official-tensorflow-for-jetson-agx-xavier/65523/3 "2018-11-07T17:51:01Z")

</div>

Has anyone successfully used the TensorFlow Object Detection API with the Python3.6 version of TensorFlow for Jetson AGX Xavier?

I ran into a problem where the object\_detection\_tutorial Jupyter Notebook is really slow.

As example In[11] takes over a minute to complete.

For comparison the model\_builder\_test.py comes back with "Ran 22 tests in .901s

Both of the above were done without modifying the jetson clocks or performance modes.

Here is the process I used to install it

Fresh Install of Jetpack 4.1DP  
Installed Tensorflow for Python 3.6  
Used the following tutorial to install it (skipping steps 1 through 4).  
[https://medium.com/@karol\_majek/10-simple-steps-to-tensorflow-object-detection-api-aa2e9b96dc94](https://medium.com/@karol_majek/10-simple-steps-to-tensorflow-object-detection-api-aa2e9b96dc94)

One thing notable is Jupyter install using “python3 -m install jupyter” doesn’t seem to set any path to it. So typing “jupyter-notebook” just gives a command not found error.

So the way I used was typing “~/.local/bin/jupyter-notebook object\_detection\_tutorial.ipynb”

---

<div class="post-metadata">

**Author:** ![AastaLLL](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/aastalll/32/14043_2.png) [@AastaLLL](https://forums.developer.nvidia.com/u/AastaLLL)\
**Post date:** [November 9, 2018, 6:24am UTC](https://forums.developer.nvidia.com/t/official-tensorflow-for-jetson-agx-xavier/65523/4 "2018-11-09T06:24:15Z")

</div>

Hi, S4WRXTTCS

Maybe you can check this tutorial to see if any helps:  
[url][https://github.com/NVIDIA-AI-IOT/tf\_trt\_models[/url]](https://github.com/NVIDIA-AI-IOT/tf_trt_models%5B/url%5D)

Thanks.

---

<div class="post-metadata">

**Author:** ![S4WRXTTCS](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@S4WRXTTCS](https://forums.developer.nvidia.com/u/S4WRXTTCS)\
**Post date:** [November 9, 2018, 6:30pm UTC](https://forums.developer.nvidia.com/t/official-tensorflow-for-jetson-agx-xavier/65523/5 "2018-11-09T18:30:33Z")

</div>

> [@AastaLLL](#):
>
> Hi, S4WRXTTCS
> 
> Maybe you can check this tutorial to see if any helps:  
> [https://github.com/NVIDIA-AI-IOT/tf\_trt\_models](https://github.com/NVIDIA-AI-IOT/tf_trt_models)
> 
> Thanks.

Using optimized TensorFlow models accelerated with NVidia TensorRT would definitely be the way to go for proper evaluation of performance, but I figured the default TensorFlow object detection would work well enough for evaluation purposes with the assumption of 2-4x speed gains with TensorRT.

I also needed to install the default Tensorflow object detection in order to try object detection with distance estimation using the ZED Stereo Camera.

> **[GitHub - stereolabs/zed-tensorflow: 3D Object detection using the ZED and Tensorflow](https://github.com/stereolabs/zed-tensorflow)**
>
> 3D Object detection using the ZED and Tensorflow

It is working, but it’s really slow as in probably less than a frame per second. The only thing I have to compare it against is a XEON workstation with a TitanV card, and even that doesn’t run so well.

It’s entirely possible that it’s a result of my install as the readme says to make sure the virtualenv is active, and I haven’t even tried out virtualenv yet. That’s going to be my next step. With the Jetson I used the default python3 environment, and with the Ubuntu workstation I used a single Anaconda environment.

Once I have things working properly with the standard TensorFlow Models I’ll have a good starting point to combine a TensorRT optimized object detection model with the Stereo Labs depth information.

They simply have two threads going on at once so I’m curious about how the Xavier will handle it.

---

<div class="post-metadata">

**Author:** ![artemisl](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@artemisl](https://forums.developer.nvidia.com/u/artemisl)\
**Post date:** [November 23, 2018, 6:12am UTC](https://forums.developer.nvidia.com/t/official-tensorflow-for-jetson-agx-xavier/65523/6 "2018-11-23T06:12:15Z")

</div>

# I follow the instruction for install the tensorflow on JETSON AGX XAVIER but i can’t success complete the installation. here is the error message. Need help to solve the problem.

aarch64-linux-gnu-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D\_FORTIFY\_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-ytvI67/python2.7-2.7.15~rc1=. -fstack-protector-strong -Wformat -Werror=format-security -fPIC -DH5\_USE\_16\_API -I./h5py -I/tmp/pip-build-wx7\_AK/h5py/lzf -I/opt/local/include -I/usr/local/include -I/home/nvidia/.local/lib/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c /tmp/pip-build-wx7\_AK/h5py/h5py/defs.c -o build/temp.linux-aarch64-2.7/tmp/pip-build-wx7\_AK/h5py/h5py/defs.o  
In file included from /home/nvidia/.local/lib/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1821:0,  
from /home/nvidia/.local/lib/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,  
from /home/nvidia/.local/lib/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,  
from /tmp/pip-build-wx7\_AK/h5py/h5py/api\_compat.h:26,  
from /tmp/pip-build-wx7\_AK/h5py/h5py/defs.c:654:  
/home/nvidia/.local/lib/python2.7/site-packages/numpy/core/include/numpy/npy\_1\_7\_deprecated\_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " “#defining NPY\_NO\_DEPRECATED\_API NPY\_1\_7\_API\_VERSION” [-Wcpp]  
#warning "Using deprecated NumPy API, disable it by "   
^ ~~~~~~  
In file included from /tmp/pip-build-wx7\_AK/h5py/h5py/defs.c:654:0:  
/tmp/pip-build-wx7\_AK/h5py/h5py/api\_compat.h:27:10: fatal error: hdf5.h: No such file or directory  
#include “hdf5.h”  
^ ~~~~~~~  
compilation terminated.  
error: command ‘aarch64-linux-gnu-gcc’ failed with exit status 1

```
----------------------------------------

```

Command “/usr/bin/python -u -c “import setuptools, tokenize; **file** =‘/tmp/pip-build-wx7\_AK/h5py/setup.py’;f=getattr(tokenize, ‘open’, open)( **file** );code=f.read().replace(‘\r\n’, ‘\n’);f.close();exec(compile(code, **file** , ‘exec’))” install --record /tmp/pip-Zu44QE-record/install-record.txt --single-version-externally-managed --compile --user --prefix=” failed with error code 1 in /tmp/pip-build-wx7\_AK/h5py/

---

<div class="post-metadata">

**Author:** ![chenyu36](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@chenyu36](https://forums.developer.nvidia.com/u/chenyu36)\
**Post date:** [November 23, 2018, 6:34pm UTC](https://forums.developer.nvidia.com/t/official-tensorflow-for-jetson-agx-xavier/65523/7 "2018-11-23T18:34:04Z")

</div>

Hi

I had the same error and tried the following commands according to the link [https://ahmedibrahimvt.wordpress.com/2017/02/19/fatal-error-hdf5-h-no-such-file-or-directory/](https://ahmedibrahimvt.wordpress.com/2017/02/19/fatal-error-hdf5-h-no-such-file-or-directory/)

```auto
sudo apt-get install libhdf5-10
sudo apt-get install libhdf5-serial-dev
sudo apt-get install libhdf5-dev
sudo apt-get install libhdf5-cpp-11

```

then continue with the build commands provided by Nvidia

**python 2.7**

```auto
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/jp/v411 tensorflow-gpu

```

or

**python 3.6**

```auto
pip3 install --extra-index-url https://developer.download.nvidia.com/compute/redist/jp/v411 tensorflow-gpu

```

---

<div class="post-metadata">

**Author:** ![triston](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/triston/32/22050_2.png) [@triston](https://forums.developer.nvidia.com/u/triston)\
**Post date:** [November 24, 2018, 5:04am UTC](https://forums.developer.nvidia.com/t/official-tensorflow-for-jetson-agx-xavier/65523/8 "2018-11-24T05:04:18Z")

</div>

artemisl & chenyu36,

Did you install tensorflow-gpu with freshly flushed JetPack 4.1.1? If not, could you help to elaborate little more to reproduce the error?  
Thanks!

---

<div class="post-metadata">

**Author:** ![chenyu36](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@chenyu36](https://forums.developer.nvidia.com/u/chenyu36)\
**Post date:** [November 24, 2018, 3:11pm UTC](https://forums.developer.nvidia.com/t/official-tensorflow-for-jetson-agx-xavier/65523/9 "2018-11-24T15:11:40Z")

</div>

> [@triston](#):
>
> artemisl & chenyu36,
> 
> Did you install tensorflow-gpu with freshly flushed JetPack 4.1.1? If not, could you help to elaborate little more to reproduce the error?  
> Thanks!

Hi triston,

For me, there was JetPack 4.1 DP on Jetson Xavier before, then I flashed it to 4.1.1 DP.  
Soon afterward, I tried to install python 2.7 tensorflow-gpu. The installation process failed with the message that artemisl posted.

---

<div class="post-metadata">

**Author:** ![triston](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/triston/32/22050_2.png) [@triston](https://forums.developer.nvidia.com/u/triston)\
**Post date:** [November 25, 2018, 1:42am UTC](https://forums.developer.nvidia.com/t/official-tensorflow-for-jetson-agx-xavier/65523/10 "2018-11-25T01:42:07Z")

</div>

chenyu36,

Thanks for the info. We will try to repro the issue and get it done ASAP. It looks like there is an issue to install numpy (and its dependencies).

---

<div class="post-metadata">

**Author:** ![AastaLLL](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/aastalll/32/14043_2.png) [@AastaLLL](https://forums.developer.nvidia.com/u/AastaLLL)\
**Post date:** [November 26, 2018, 3:25am UTC](https://forums.developer.nvidia.com/t/official-tensorflow-for-jetson-agx-xavier/65523/11 "2018-11-26T03:25:17Z")

</div>

Hi, artemisl & chenyu36

We can successfully install TensorFlow on JetPack4.1.1 with the command shared in #1.  
_h5py_ is automatically installed when we run the pip command.

```auto
......
Successfully installed absl-py-0.6.1 astor-0.7.1 backports.weakref-1.0.post1 funcsigs-1.0.2 futures-3.2.0 gast-0.2.0 grpcio-1.16.1 <b>h5py-2.8.0</b> keras-applications-1.0.6 keras-preprocessing-1.0.5 markdown-3.0.1 mock-2.0.0 pbr-5.1.1 protobuf-3.6.1 tensorboard-1.12.0 tensorflow-gpu-1.12.0rc2+nv18.11 termcolor-1.1.0 werkzeug-0.14.1

```

Maybe your issue is caused from different pip version.  
Could you try to upgrade pip into latest and try it again?

```auto
sudo apt-get install python-pip
pip install -U pip

```

Thanks.

---

<div class="post-metadata">

**Author:** ![triston](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/triston/32/22050_2.png) [@triston](https://forums.developer.nvidia.com/u/triston)\
**Post date:** [November 26, 2018, 8:55pm UTC](https://forums.developer.nvidia.com/t/official-tensorflow-for-jetson-agx-xavier/65523/12 "2018-11-26T20:55:25Z")

</div>

artemisl & chenyu36,

It will be very nice if you can share any feedback for AastaLLL’s comment (update pip).

---

<div class="post-metadata">

**Author:** ![chenyu36](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@chenyu36](https://forums.developer.nvidia.com/u/chenyu36)\
**Post date:** [November 27, 2018, 1:28am UTC](https://forums.developer.nvidia.com/t/official-tensorflow-for-jetson-agx-xavier/65523/13 "2018-11-27T01:28:58Z")

</div>

Hi triston, AastaLLL,

Since my Tensorflow installation (using Nivida pip command above) worked after manually installing “libhdf5” as in my above post, my current setup may not be the ideal environment to test the “pip update” solution.

Maybe artemisl can give it a try if he hasn’t got his Tensorflow working.

Or, I can reflash my current setup back to 4.1.1 DP one more time, try the “pip update” solution next, but that’s going to take some time.

---

<div class="post-metadata">

**Author:** ![triston](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/triston/32/22050_2.png) [@triston](https://forums.developer.nvidia.com/u/triston)\
**Post date:** [November 27, 2018, 5:44pm UTC](https://forums.developer.nvidia.com/t/official-tensorflow-for-jetson-agx-xavier/65523/14 "2018-11-27T17:44:53Z")

</div>

Thank you for your feedback chenyu36! Glad to hear that Tensorflow is working on your Xavier.

---

<div class="post-metadata">

**Author:** ![artemisl](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@artemisl](https://forums.developer.nvidia.com/u/artemisl)\
**Post date:** [November 29, 2018, 8:46am UTC](https://forums.developer.nvidia.com/t/official-tensorflow-for-jetson-agx-xavier/65523/15 "2018-11-29T08:46:48Z")

</div>

Dear Chenyu36 and triston,

I am very sorry for late. Today I try to reflash the Xavier again with JetPack 4.1.1DP  
and follow the instruction form  
[https://docs.nvidia.com/deeplearning/dgx/install-tf-xavier/index.html](https://docs.nvidia.com/deeplearning/dgx/install-tf-xavier/index.html)

The tensorflow installation problem is solved.

But, it seems got the new trouble. When Verifying The Installation, i got the error message  
“ImportError: libcudnn.so.7: cannot open shared object file: No such file or directory”

I download the “cuDNN Library for Linux” form  
[https://developer.nvidia.com/compute/machine-learning/cudnn/secure/v7.4.1.5/prod/10.0\_20181108/cudnn-10.0-linux-x64-v7.4.1.5.tgz](https://developer.nvidia.com/compute/machine-learning/cudnn/secure/v7.4.1.5/prod/10.0_20181108/cudnn-10.0-linux-x64-v7.4.1.5.tgz)

and follow the error message form [Build and install error messages &nbsp;|&nbsp; TensorFlow](https://www.tensorflow.org/install/errors)  
do the following action

$ tar xvzf cudnn-10.0-linux-x64-v7.4.1.5.tgz  
$ sudo cp -P cuda/include/cudnn.h /usr/local/cuda/include  
$ sudo cp -P cuda/lib64/libcudnn\* /usr/local/cuda/lib64  
$ sudo chmod a+r /usr/local/cuda/include/cudnn.h /usr/local/cuda/lib64/libcudnn\*

$ vim ~/.bashrc

export LD\_LIBRARY\_PATH=“$LD\_LIBRARY\_PATH:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64”  
export CUDA\_HOME=/usr/local/cuda

The Error message “ImportError: libcudnn.so.7: cannot open shared object file: No such file or directory” still exist

I am very thank you for your answers

---

<div class="post-metadata">

**Author:** ![artemisl](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@artemisl](https://forums.developer.nvidia.com/u/artemisl)\
**Post date:** [November 29, 2018, 9:42am UTC](https://forums.developer.nvidia.com/t/official-tensorflow-for-jetson-agx-xavier/65523/16 "2018-11-29T09:42:50Z")

</div>

nvidia@jetson-0423618000766:~$ python  
Python 2.7.15rc1 (default, Nov 12 2018, 14:31:15)  
[GCC 7.3.0] on linux2  
Type “help”, “copyright”, “credits” or “license” for more information.

> > > import tensorflow  
> > > Traceback (most recent call last):  
> > > File “”, line 1, in   
> > > File “/home/nvidia/.local/lib/python2.7/site-packages/tensorflow/ **init**.py”, line 24, in   
> > > from tensorflow.python import pywrap\_tensorflow # pylint: disable=unused-import  
> > > File “/home/nvidia/.local/lib/python2.7/site-packages/tensorflow/python/ **init**.py”, line 49, in   
> > > from tensorflow.python import pywrap\_tensorflow  
> > > File “/home/nvidia/.local/lib/python2.7/site-packages/tensorflow/python/pywrap\_tensorflow.py”, line 74, in   
> > > raise ImportError(msg)  
> > > ImportError: Traceback (most recent call last):  
> > > File “/home/nvidia/.local/lib/python2.7/site-packages/tensorflow/python/pywrap\_tensorflow.py”, line 58, in   
> > > from tensorflow.python.pywrap\_tensorflow\_internal import \*  
> > > File “/home/nvidia/.local/lib/python2.7/site-packages/tensorflow/python/pywrap\_tensorflow\_internal.py”, line 28, in   
> > > \_pywrap\_tensorflow\_internal = swig\_import\_helper()  
> > > File “/home/nvidia/.local/lib/python2.7/site-packages/tensorflow/python/pywrap\_tensorflow\_internal.py”, line 24, in swig\_import\_helper  
> > > \_mod = imp.load\_module(‘\_pywrap\_tensorflow\_internal’, fp, pathname, description)  
> > > ImportError: libcudnn.so.7: cannot open shared object file: No such file or directory

Failed to load the native TensorFlow runtime.

See [Создание и установка сообщений об ошибках &nbsp;|&nbsp; TensorFlow](https://www.tensorflow.org/install/errors)

for some common reasons and solutions. Include the entire stack trace  
above this error message when asking for help.

---

<div class="post-metadata">

**Author:** ![artemisl](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@artemisl](https://forums.developer.nvidia.com/u/artemisl)\
**Post date:** [November 29, 2018, 10:04am UTC](https://forums.developer.nvidia.com/t/official-tensorflow-for-jetson-agx-xavier/65523/17 "2018-11-29T10:04:16Z")

</div>

Successfully installed absl-py-0.6.1 astor-0.7.1 backports.weakref-1.0.post1 enum34-1.1.6 funcsigs-1.0.2 futures-3.2.0 gast-0.2.0 grpcio-1.16.1 h5py-2.8.0 keras-applications-1.0.6 keras-preprocessing-1.0.5 markdown-3.0.1 mock-2.0.0 numpy-1.15.4 pbr-5.1.1 protobuf-3.6.1 setuptools-40.6.2 six-1.11.0 tensorboard-1.12.0 tensorflow-gpu-1.12.0rc2+nv18.11 termcolor-1.1.0 werkzeug-0.14.1 wheel-0.32.3

---

<div class="post-metadata">

**Author:** ![dhingratul](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@dhingratul](https://forums.developer.nvidia.com/u/dhingratul)\
**Post date:** [November 29, 2018, 6:09pm UTC](https://forums.developer.nvidia.com/t/official-tensorflow-for-jetson-agx-xavier/65523/18 "2018-11-29T18:09:50Z")

</div>

Is there a version for DRIVE AGX as well?

---

<div class="post-metadata">

**Author:** ![skama](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@skama](https://forums.developer.nvidia.com/u/skama)\
**Post date:** [November 29, 2018, 9:23pm UTC](https://forums.developer.nvidia.com/t/official-tensorflow-for-jetson-agx-xavier/65523/19 "2018-11-29T21:23:21Z")

</div>

@artemisl,  
With fresh login, what does following commands return?

```auto
ls -la /usr/lib/aarch64-linux-gnu/libcu*
ldconfig -p
update-alternatives --display libcudnn

```

---

<div class="post-metadata">

**Author:** ![AastaLLL](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/aastalll/32/14043_2.png) [@AastaLLL](https://forums.developer.nvidia.com/u/AastaLLL)\
**Post date:** [November 30, 2018, 2:41am UTC](https://forums.developer.nvidia.com/t/official-tensorflow-for-jetson-agx-xavier/65523/20 "2018-11-30T02:41:26Z")

</div>

> [@](#):
>
> Is there a version for DRIVE AGX as well?

This package is only for Jetson AGX Xavier currently.  
Thanks.

[Next page](https://forums.developer.nvidia.com/t/official-tensorflow-for-jetson-agx-xavier/65523.md?page=2)