我在Jetson TX1上尝试安装TensorFlow

2 年 ago

雅, 悟

4 minutes

环境

Bazel 0.11.1

前提

swap 8GB (/home/other/swapfile)を起動時に自動ONする。

安装

$ git clone https://github.com/jetsonhacks/installTensorFlowTX2.git
$ cd installTensorFlowTX2
$ vi script/installBazel.sh

由于 bazel-0.10.0 构建失败，所以将其更换为 0.11.1 版本。

INSTALL_DIR=$PWD
cd $HOME
wget --no-check-certificate https://github.com/bazelbuild/bazel/releases/download/0.11.1/bazel-0.11.1-dist.zip
unzip bazel-0.11.1-dist.zip -d bazel-0.11.1-dist
sudo chmod -R ug+rwx $HOME/bazel-0.11.1-dist
cd bazel-0.11.1-dist
./compile.sh 
sudo cp output/bazel /usr/local/bin

将 “TensorRT support” 设置为 “是” 后，构建会崩溃。之后会解决这个问题。

$ ./installPrerequisitesPy3.sh 
$ git clone https://github.com/tensorflow/tensorflow.git
$ cd tensorflow
$ git checkout v1.7.0
$ ./configure
WARNING: Running Bazel server needs to be killed, because the startup options are different.
You have bazel 0.11.1- (@non-git) installed.
Please specify the location of python. [Default is /usr/bin/python]: /usr/bin/python3

Found possible Python library paths:
  /usr/lib/python3.5/dist-packages
  /usr/local/lib/python3.5/dist-packages
  /usr/lib/python3/dist-packages
Please input the desired Python library path to use.  Default is [/usr/lib/python3.5/dist-packages]

Do you wish to build TensorFlow with jemalloc as malloc support? [Y/n]: 
jemalloc as malloc support will be enabled for TensorFlow.

Do you wish to build TensorFlow with Google Cloud Platform support? [Y/n]: n
No Google Cloud Platform support will be enabled for TensorFlow.

Do you wish to build TensorFlow with Hadoop File System support? [Y/n]: n
No Hadoop File System support will be enabled for TensorFlow.

Do you wish to build TensorFlow with Amazon S3 File System support? [Y/n]: n
No Amazon S3 File System support will be enabled for TensorFlow.

Do you wish to build TensorFlow with Apache Kafka Platform support? [y/N]: n
No Apache Kafka Platform support will be enabled for TensorFlow.

Do you wish to build TensorFlow with XLA JIT support? [y/N]: n
No XLA JIT support will be enabled for TensorFlow.

Do you wish to build TensorFlow with GDR support? [y/N]: n
No GDR support will be enabled for TensorFlow.

Do you wish to build TensorFlow with VERBS support? [y/N]: n
No VERBS support will be enabled for TensorFlow.

Do you wish to build TensorFlow with OpenCL SYCL support? [y/N]: n
No OpenCL SYCL support will be enabled for TensorFlow.

Do you wish to build TensorFlow with CUDA support? [y/N]: y
CUDA support will be enabled for TensorFlow.

Please specify the CUDA SDK version you want to use, e.g. 7.0. [Leave empty to default to CUDA 9.0]: 

Please specify the location where CUDA 9.0 toolkit is installed. Refer to README.md for more details. [Default is /usr/local/cuda]: 

Please specify the cuDNN version you want to use. [Leave empty to default to cuDNN 7.0]: 7

Please specify the location where cuDNN 7 library is installed. Refer to README.md for more details. [Default is /usr/local/cuda]:

Do you wish to build TensorFlow with TensorRT support? [y/N]: n
No TensorRT support will be enabled for TensorFlow.

Please specify a list of comma-separated Cuda compute capabilities you want to build with.
You can find the compute capability of your device at: https://developer.nvidia.com/cuda-gpus.
Please note that each additional compute capability significantly increases your build time and binary size. [Default is: 3.5,5.2]6.2

Do you want to use clang as CUDA compiler? [y/N]: 
nvcc will be used as CUDA compiler.

Please specify which gcc should be used by nvcc as the host compiler. [Default is /usr/bin/gcc]: 

Do you wish to build TensorFlow with MPI support? [y/N]: 
No MPI support will be enabled for TensorFlow.

Please specify optimization flags to use during compilation when bazel option "--config=opt" is specified [Default is -march=native]: 

Would you like to interactively configure ./WORKSPACE for Android builds? [y/N]: n
Not configuring the WORKSPACE for Android builds.

Preconfigured Bazel build configs. You can use any of the below by adding "--config=<>" to your build command. See tools/bazel.rc for more details.
    --config=mkl            # Build with MKL support.
    --config=monolithic     # Config for mostly static monolithic build.
Configuration finished

$ bazel build --config=opt --config=cuda //tensorflow/tools/pip_package:build_pip_package
$ bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_pkg
$ sudo pip3 install /tmp/tensorflow_pkg/tensorflow-1.7.0-py2-none-any.whl

确认动作

$ cd 
$ python3
import tensorflow as tf