-
Notifications
You must be signed in to change notification settings - Fork 134
/
install_tensorflow-1.12.2.sh
executable file
·99 lines (85 loc) · 2.82 KB
/
install_tensorflow-1.12.2.sh
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
#!/bin/bash
set -e
script_path=$(realpath $0)
patch_path=$(dirname $script_path)/tensorflow/tensorflow-1.12.2.patch
trt_version=$(echo /usr/lib/aarch64-linux-gnu/libnvinfer.so.? | cut -d '.' -f 3)
chip_id=$(cat /sys/module/tegra_fuse/parameters/tegra_chip_id)
case ${chip_id} in
"33" ) # Nano and TX1
cuda_compute=5.3
local_resources=2048.0,1.0,1.0
;;
"24" ) # TX2
cuda_compute=6.2
local_resources=6144.0,6.0,1.0
;;
"25" ) # AGX Xavier
cuda_compute=7.2
local_resources=8192.0,16.0,1.0
;;
* ) # default
cuda_compute=5.3,6.2,7.2
local_resources=2048.0,1.0,1.0
;;
esac
folder=${HOME}/src
mkdir -p $folder
if pip3 list | grep tensorflow > /dev/null; then
echo "ERROR: tensorflow is installed already"
exit
fi
if ! which bazel > /dev/null; then
echo "ERROR: bazel has not been installled"
exit
fi
echo "** Install requirements"
sudo apt-get install -y libhdf5-serial-dev hdf5-tools
sudo pip3 install -U pip six numpy wheel setuptools mock h5py
sudo pip3 install -U keras_applications
sudo pip3 install -U keras_preprocessing
export LD_LIBRARY_PATH=/usr/local/cuda/extras/CUPTI/lib64:$LD_LIBRARY_PATH
echo "** Download and patch tensorflow-1.12.2"
pushd $folder
if [ ! -f tensorflow-1.12.2.tar.gz ]; then
wget https://github.com/tensorflow/tensorflow/archive/v1.12.2.tar.gz -O tensorflow-1.12.2.tar.gz
fi
tar xzvf tensorflow-1.12.2.tar.gz
cd tensorflow-1.12.2
patch -N -p1 < $patch_path && echo "tensorflow-1.12.2 source tree appears to be patched already. Continue..."
echo "** Configure and build tensorflow-1.12.2"
export TMP=/tmp
PYTHON_BIN_PATH=$(which python3) \
PYTHON_LIB_PATH=$(python3 -c 'import site; print(site.getsitepackages()[0])') \
TF_CUDA_COMPUTE_CAPABILITIES=${cuda_compute} \
TF_CUDA_VERSION=10.0 \
TF_CUDA_CLANG=0 \
TF_CUDNN_VERSION=7 \
TF_NCCL_VERSION=1.3 \
TF_TENSORRT_VERSION=${trt_version} \
CUDA_TOOLKIT_PATH=/usr/local/cuda \
CUDNN_INSTALL_PATH=/usr/lib/aarch64-linux-gnu \
TENSORRT_INSTALL_PATH=/usr/lib/aarch64-linux-gnu \
TF_NEED_IGNITE=0 \
TF_ENABLE_XLA=0 \
TF_NEED_OPENCL_SYCL=0 \
TF_NEED_COMPUTECPP=0 \
TF_NEED_ROCM=0 \
TF_NEED_CUDA=1 \
TF_NEED_TENSORRT=1 \
TF_NEED_OPENCL=0 \
TF_NEED_MPI=0 \
GCC_HOST_COMPILER_PATH=$(which gcc) \
CC_OPT_FLAGS="-march=native" \
TF_SET_ANDROID_WORKSPACE=0 \
./configure
bazel build --config=opt \
--config=cuda \
--local_resources=${local_resources} \
//tensorflow/tools/pip_package:build_pip_package
bazel-bin/tensorflow/tools/pip_package/build_pip_package wheel/tensorflow_pkg
echo "** Install tensorflow-1.12.2"
#sudo pip3 install wheel/tensorflow_pkg/tensorflow-1.12.2-cp36-cp36m-linux_aarch64.whl
sudo pip3 install wheel/tensorflow_pkg/tensorflow-1.12.2-*.whl
popd
python3 -c "import tensorflow as tf; print('tensorflow version: %s' % tf.__version__)"
echo "** Build and install tensorflow-1.12.2 successfully"