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Tensorflow Study _ 환경 구성

07 Apr 2017 » tensorflow, machine_learning

설치환경 Window 10

Tensorflow를 공부하기 위한 환경 구성 (Python, PyCharm, Anaconda)

공부자료

1. 설치

Python : https://www.python.org/downloads/release/python-352/
(현재 tensorflow에서 python version 3.6.X 를 지원해주지 않는다. 그러므로 python version 3.5.X를 설치해야 한다. 참고로 3.5.2 설치함)

PyCharm : https://www.jetbrains.com/pycharm/download/#section=windows

Anaconda : https://www.continuum.io/downloads (설치할 Anaconda는 python version과 사용할 bit(64 or 32)를 맞춰야한다. tensorflow는 64 bit에서 지원하기 때문에 64 bit로 설치해야 한다. 참고로 python 3.5 version 3.5.X와 64 bit에 맞는 Anaconda3-4.2.X를 설치해야 한다.)

2. Anaconda에 Tensorflow 설치

tensorflow라는 이름으로 콘다환경을 구성한다.(python version 3.5.X 사용)

C:> conda create -n tensorflow python=3.5

이제 tensorflow라는 이름의 콘다환경을 활성화 시켜준다.

C:> activate tensorflow
 (tensorflow)C:>  # Your prompt should change

tensorflow라는 이름의 콘다환경에 Tensorflow 를 설치한다. (CPU-only version과 GPU version 중 우선 CPU-only version만 설치)

CPU-only version

(tensorflow)C:> pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-1.0.1-cp35-cp35m-win_amd64.whl

GPU version

(tensorflow)C:> pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/windows/gpu/tensorflow_gpu-1.0.1-cp35-cp35m-win_amd64.whl

3. PyCharm에서 구성한 콘다환경 설정

우선 PyCharm에서 python Project를 만든다. 이후 Project Interpreter를 설정할 때 위에서 구성한 tensorflow라는 이름의 콘다환경에 들어있는 python.exe를 선택한다.

Install_1

이제 File -> Setting -> Project:XXX -> Project Interpreter 를 보면 Package에 tensorflow가 있음을 확인할 수 있다. (tensorflow라는 콘다환경에 TensorFlow 가 설치됨)

Install_2

아래는 예제와 테스트 결과이다.

test.py

import tensorflow as tf


hello = tf.constant('Hello, TensorFlow!')
sess = tf.Session()
print(sess.run(hello))

result

C:\DevProgram\Anaconda3\envs\tensorflow\python.exe C:/Users/RoyalAzalea/Documents/Pycharm/lab_01/test.py
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "BestSplits" device_type: "CPU"') for unknown op: BestSplits
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "CountExtremelyRandomStats" device_type: "CPU"') for unknown op: CountExtremelyRandomStats
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "FinishedNodes" device_type: "CPU"') for unknown op: FinishedNodes
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "GrowTree" device_type: "CPU"') for unknown op: GrowTree
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "ReinterpretStringToFloat" device_type: "CPU"') for unknown op: ReinterpretStringToFloat
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "SampleInputs" device_type: "CPU"') for unknown op: SampleInputs
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "ScatterAddNdim" device_type: "CPU"') for unknown op: ScatterAddNdim
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "TopNInsert" device_type: "CPU"') for unknown op: TopNInsert
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "TopNRemove" device_type: "CPU"') for unknown op: TopNRemove
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "TreePredictions" device_type: "CPU"') for unknown op: TreePredictions
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "UpdateFertileSlots" device_type: "CPU"') for unknown op: UpdateFertileSlots
b'Hello, TensorFlow!'

Process finished with exit code 0

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