forked from tensorflow/tensorflow
-
Notifications
You must be signed in to change notification settings - Fork 0
/
configure
executable file
·82 lines (73 loc) · 2.78 KB
/
configure
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
#!/bin/bash
## Set up Cuda-related environment settings
while [ "$TF_NEED_CUDA" == "" ]; do
read -p "Do you wish to build TensorFlow with GPU support? [y/n] " INPUT
case $INPUT in
[Yy]* ) echo -e "GPU support will be enabled for TensorFlow\n"; TF_NEED_CUDA=1;;
[Nn]* ) echo -e "No GPU support will be enabled for TensorFlow\n"; TF_NEED_CUDA=0;;
* ) echo "Invalid selection: " $INPUT;;
esac
done
if [ "$TF_NEED_CUDA" == "0" ]; then
echo "Configuration finished"
exit
fi
# Find out where the CUDA toolkit is installed
while true; do
fromuser=""
if [ -z "$CUDA_TOOLKIT_PATH" ]; then
default_cuda_path=/usr/local/cuda
read -p "Please specify the location where CUDA 7.0 toolkit is installed. Refer to README.md for more details. [Default is $default_cuda_path]: " CUDA_TOOLKIT_PATH
fromuser="1"
if [ -z "$CUDA_TOOLKIT_PATH" ]; then
CUDA_TOOLKIT_PATH=$default_cuda_path
fi
fi
if [ -e "$CUDA_TOOLKIT_PATH/lib64/libcudart.so.7.0" ]; then
break
fi
echo "Invalid path to CUDA 7.0 toolkit. ${CUDA_TOOLKIT_PATH}/lib64/libcudart.so.7.0 cannot be found"
if [ -z "$fromuser" ]; then
exit 1
fi
CUDA_TOOLKIT_PATH=""
# Retry
done
# Find out where the CUDNN library is installed
while true; do
fromuser=""
if [ -z "$CUDNN_INSTALL_PATH" ]; then
default_cudnn_path=${CUDA_TOOLKIT_PATH}
read -p "Please specify the location where CUDNN 6.5 V2 library is installed. Refer to README.md for more details. [Default is $default_cudnn_path]: " CUDNN_INSTALL_PATH
fromuser="1"
if [ -z "$CUDNN_INSTALL_PATH" ]; then
CUDNN_INSTALL_PATH=$default_cudnn_path
fi
# Result returned from "read" will be used unexpanded. That make "~" unuseable.
# Going through one more level of expansion to handle that.
CUDNN_INSTALL_PATH=$(bash -c "readlink -f $CUDNN_INSTALL_PATH")
fi
if [ -e "$CUDNN_INSTALL_PATH/libcudnn.so.6.5" -o -e "$CUDNN_INSTALL_PATH/lib64/libcudnn.so.6.5" ]; then
break
fi
echo "Invalid path to CUDNN 6.5 V2 toolkit. Neither of the following two files can be found:"
echo "$CUDNN_INSTALL_PATH/lib64/libcudnn.so.6.5"
echo "$CUDNN_INSTALL_PATH/libcudnn.so.6.5"
if [ -z "$fromuser" ]; then
exit 1
fi
CUDNN_INSTALL_PATH=""
# Retry
done
cat > third_party/gpus/cuda/cuda.config <<EOF
# CUDA_TOOLKIT_PATH refers to the CUDA toolkit. Tensorflow requries Cuda 7.0
# at the moment.
CUDA_TOOLKIT_PATH="$CUDA_TOOLKIT_PATH"
# CUDNN_INSTALL_PATH refers to the CUDNN toolkit. The cudnn header and library
# files can be either in this directory, or under include/ and lib64/
# directories separately.
CUDNN_INSTALL_PATH="$CUDNN_INSTALL_PATH"
EOF
# Invoke the cuda_config.sh and set up the TensorFlow's canonical view of the Cuda libraries
(cd third_party/gpus/cuda; ./cuda_config.sh;) || exit -1
echo "Configuration finished"