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Scripts to install TensorFlow on the NVIDIA Jetson TX1 Development Kit
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patches Tensor Flow 1.3, L4T 28.1 Sep 18, 2017
scripts Tensor Flow 1.3, L4T 28.1 Sep 18, 2017
LICENSE
README.md Add link to pre-built wheel files Sep 21, 2017
buildTensorFlow.sh Tensor Flow 1.3, L4T 28.1 Sep 18, 2017
cloneTensorFlow.sh
createSwapfile.sh Tensor Flow 1.3, L4T 28.1 Sep 18, 2017
installPrerequisites.sh Tensor Flow 1.3, L4T 28.1 Sep 18, 2017
installPrerequisitesPy3.sh Tensor Flow 1.3, L4T 28.1 Sep 18, 2017
packageTensorFlow.sh Tensor Flow 1.3, L4T 28.1 Sep 18, 2017
setLocalLib.sh
setTensorFlowEV.sh Tensor Flow 1.3, L4T 28.1 Sep 18, 2017
setTensorFlowEVPy3.sh

README.md

installTensorFlowTX1

September 17, 2017 JetsonHacks

Install TensorFlow v1.3 on NVIDIA Jetson TX1 Development Kit

Jetson TX1 is flashed with JetPack 3.1 which installs:

  • L4T 28.1 an Ubuntu 16.04 64-bit variant (aarch64)
  • CUDA 8.0
  • cuDNN 6.0

Pre-built installation

If you are only interested in installing Tensorflow on the TX1, not building from source, pre-built wheel files are available here: https://github.com/jetsonhacks/installTensorFlowJetsonTX

If you are interested in building from source, read on.

Preparation

Before installing TensorFlow, a swap file should be created (minimum of 8GB recommended). The Jetson TX1 does not have enough physical memory to compile TensorFlow.

Note: L4T 28.1 does not have the swap file option selected in the stock kernel, so a custom kernel must be used with swap enabled. The option is 'Support for paging of anonymous memory (swap)'. The kernel configuration symbols are CONFIG_SWAP and SWAP.

The eMMC does not have enough room for a properly sized swap file, the swap file should be located on a different device. A SATA drive is probably the fastest, followed by a USB drive then SD Card. The swap file is not needed after the build. Also, the swap file should be over 4GB.

There is a convenience script for building a swap file. For example, to build a 8GB swapfile:

$ ./createSwapfile.sh -d [file location] -s 8

After TensorFlow has finished building, the swap file is no longer needed and may be removed.

These scripts support either builds for Python 2.7 or Python 3.5. TensorFlow should be built in the following order:

For Python 2.7

installPrerequisites.sh

Installs Java and other dependencies needed. Also builds Bazel version 0.5.2.

cloneTensorFlow.sh

Git clones v1.3.0 from the TensorFlow repository and patches the source code for aarch64

setTensorFlowEV.sh

Sets up the TensorFlow environment variables. This script will ask for the default python library path. There are many settings to chose from, the script picks the usual suspects. Uses python 2.7.

For Python 3.5

installPrerequisitesPy3.sh

Installs Java and other dependencies needed. Also builds Bazel version 0.5.2.

cloneTensorFlow.sh

Git clones v1.3.0 from the TensorFlow repository and patches the source code for aarch64

setTensorFlowEVPy3.sh

Sets up the TensorFlow environment variables. This script will ask for the default python library path. There are many settings to chose from, the script picks the usual suspects. Uses python 3.5.

Build TensorFlow

Once the prerequisites have been installed and the environment configured, it is time to build TensorFlow itself.

buildTensorFlow.sh

Builds TensorFlow.

packageTensorFlow.sh

Once TensorFlow has finished building, this script may be used to create a 'wheel' file, a package for installing with Python. The wheel file will be in the $HOME directory.

Install wheel file

For Python 2.X

$ pip install $HOME/wheel file

For Python 3.X

$ pip3 install $HOME/wheel file

Notes

This TensorFlow installation procedure was derived from these discussion threads:

Release Notes

September 2017

  • L4T 28.1 (JetPack 3.1)
  • TensorFlow 1.3
  • CUDA 8.0
  • cuDNN 6.0.12

December 2016

  • Initial Release
  • L4T 24.2.1
  • TensorFlow 0.11
  • CUDA 8.0
  • cuDNN 5.1.5

License

MIT License

Copyright (c) 2017 Jetsonhacks

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

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