Python Tensorflow 설치

Python Tensorflow

Python Tensorflow 설치

Which command to use for checking whether python is 64bit or 32bit

First, open cmd and type in

 $ python 

Then, type in the following two lines 

 >>> import platform 

 >>> platform.architecture()

$ conda create -n tensorflow

CondaValueError: prefix already exist 라는 메세지가 뜨면 

$ conda info --envs

해서 가상환경리스트를 확인한후 동일 이름이 있을경우 새로 하거나 기존 것을 지우고 다시 만든다.

$ (source) activate tensorflow

(source) 부분은 리눅스라 맥에서 사용하며 윈도우즈에서는 빼고 사용한다.

$ conda install tensorflow

$python3

>>> import tensorflow

>>>.... 이하 코드 작성

error importing tensorflow.  Unless you are using bazel,

you should not try to import tensorflow from its source directory;

please exit the tensorflow source tree, and relaunch your python interpreter

from there.

가상환경에서 설치 하지 안았을 때 이런 메세지가 나오는데 원인을 모르겠다.

필자는 그냥 가상환경에서 하기로 했다.

print sess.run(hello)

      ^ syntaxerror invalid syntax (==> print(sess.run(hello))  괄호를 쳐주자

>>> import tensorflow as tf

>>> hello = tf.constant('Hello, TensorFlow!')

>>> sess = tf.Session()

>>> print(sess.run(hello))

Hello, TensorFlow!

>>> a = tf.constant(10)

>>> b = tf.constant(32)

>>> print(sess.run(a + b))

42

Python Tensorflow GPU설치

16 commends 

1 wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1710/x86_64/cuda-repo-ubuntu1710… 

2 sudo dpkg -i cuda-repo-ubuntu1710_9.2.88-1_amd64.deb 

3 sudo apt-get update 

4 sudo apt-get upgrade -y 

5 sudo apt-get install -y opencl-headers build-essential protobuf-compiler libprotoc-dev libboost-all-dev libleveldb-dev hdf5-tools libhdf5-serial-dev libopencv-core-dev libopencv-highgui-dev libsnappy-dev libsnappy1 libatlas-base-dev cmake libstdc++6-4.8-dbg libgoogle-glog0 libgoogle-glog-dev libgflags-dev liblmdb-dev git python-pip gfortran 

6 sudo apt-get clean 

7 sudo apt-get install -y linux-image-extra-`uname -r` linux-headers-`uname -r` linux-image-`uname -r` 

8 sudo apt-get install -y cuda 

9 nvidia-smi 

10 sudo apt-get install python-pip python-dev 

11 sudo pip install --upgrade https://storage.googleapis.com/…/tensorflow-0.8.0rc0-cp27-n… 

12 git clone https://github.com/nlintz/TensorFlow-Tutorials 

13 cd TensorFlow-Tutorials/ 

14 vi ~/.profile # add PATH, LD PATH 

15 source ~/.profile 

16 python 06_autoencoder.py