Tensorflow 1.0 설치 및 업그레이드

Tensorflow Ubuntu에서 설치하는 방법.

보통.. pip install tensorflow-gpu는 잘 안먹히는 관계로 미리 빼놓는다.

언제든지 TF가 Release 되면, export TF_BINARY_URL을 이용하여 환경값을 설정한 후 pip install 을 활용하자!

# Ubuntu/Linux 64-bit, CPU only, Python 2.7

$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.0.0rc2-cp27-none-linux_x86_64.whl

# Ubuntu/Linux 64-bit, GPU enabled, Python 2.7

# Requires CUDA toolkit 8.0 and CuDNN v5. For other versions, see "Installing from sources" below.

$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.0.0rc2-cp27-none-linux_x86_64.whl

# Mac OS X, CPU only, Python 2.7:

$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.0.0rc2-py2-none-any.whl

# Mac OS X, GPU enabled, Python 2.7:

$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/gpu/tensorflow_gpu-1.0.0rc2-py2-none-any.whl

# Ubuntu/Linux 64-bit, CPU only, Python 3.3

$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.0.0rc2-cp33-cp33m-linux_x86_64.whl

# Ubuntu/Linux 64-bit, GPU enabled, Python 3.3

# Requires CUDA toolkit 8.0 and CuDNN v5. For other versions, see "Installing from sources" below.

$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.0.0rc2-cp33-cp33m-linux_x86_64.whl

# Ubuntu/Linux 64-bit, CPU only, Python 3.4

$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.0.0rc2-cp34-cp34m-linux_x86_64.whl

# Ubuntu/Linux 64-bit, GPU enabled, Python 3.4

# Requires CUDA toolkit 8.0 and CuDNN v5. For other versions, see "Installing from sources" below.

$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.0.0rc2-cp34-cp34m-linux_x86_64.whl

# Ubuntu/Linux 64-bit, CPU only, Python 3.5

$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.0.0rc2-cp35-cp35m-linux_x86_64.whl

# Ubuntu/Linux 64-bit, GPU enabled, Python 3.5

# Requires CUDA toolkit 8.0 and CuDNN v5. For other versions, see "Installing from sources" below.

$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.0.0rc2-cp35-cp35m-linux_x86_64.whl

# Ubuntu/Linux 64-bit, CPU only, Python 3.6

$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.0.0rc2-cp36-cp36m-linux_x86_64.whl

# Ubuntu/Linux 64-bit, GPU enabled, Python 3.6

# Requires CUDA toolkit 8.0 and CuDNN v5. For other versions, see "Installing from sources" below.

$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.0.0rc2-cp36-cp36m-linux_x86_64.whl

# Mac OS X, CPU only, Python 3.4 or 3.5:

$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.0.0rc2-py3-none-any.whl

# Mac OS X, GPU enabled, Python 3.4 or 3.5:

$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/gpu/tensorflow_gpu-1.0.0rc2-py3-none-any.whl

#### Install

$ sudo pip install --upgrade $TF_BINARY_URL