Just upgraded Tensorflow 1.0.1 and Keras 2.0.1

$ pip install –upgrade keras –user

Collecting keras
 Downloading Keras-2.0.1.tar.gz (192kB)
 100% |████████████████████████████████| 194kB 2.9MB/s
Requirement already up-to-date: theano in ./.local/lib/python2.7/site-packages (from keras)
Requirement already up-to-date: pyyaml in ./.local/lib/python2.7/site-packages (from keras)
Requirement already up-to-date: six in ./.local/lib/python2.7/site-packages (from keras)
Requirement already up-to-date: numpy>=1.7.1 in /usr/local/lib/python2.7/dist-packages (from theano->keras)
Collecting scipy>=0.11 (from theano->keras)
 Downloading scipy-0.19.0-cp27-cp27mu-manylinux1_x86_64.whl (45.0MB)
 100% |████████████████████████████████| 45.0MB 34kB/s
Building wheels for collected packages: keras
 Running setup.py bdist_wheel for keras ... done
 Stored in directory: /home/avkash/.cache/pip/wheels/fa/15/f9/57473734e407749529bf55e6b5038640dc7279d5718b2c368a
Successfully built keras
Installing collected packages: keras, scipy
 Found existing installation: Keras 1.2.2
 Uninstalling Keras-1.2.2:
 Successfully uninstalled Keras-1.2.2
Successfully installed keras-2.0.1 scipy-0.19.0

$ pip install –upgrade tensorflow-gpu –user

Collecting tensorflow-gpu
 Downloading tensorflow_gpu-1.0.1-cp27-cp27mu-manylinux1_x86_64.whl (94.8MB)
 100% |████████████████████████████████| 94.8MB 16kB/s
Requirement already up-to-date: mock>=2.0.0 in /usr/local/lib/python2.7/dist-packages (from tensorflow-gpu)
Requirement already up-to-date: numpy>=1.11.0 in /usr/local/lib/python2.7/dist-packages (from tensorflow-gpu)
Requirement already up-to-date: protobuf>=3.1.0 in /usr/local/lib/python2.7/dist-packages (from tensorflow-gpu)
Requirement already up-to-date: wheel in /usr/lib/python2.7/dist-packages (from tensorflow-gpu)
Requirement already up-to-date: six>=1.10.0 in ./.local/lib/python2.7/site-packages (from tensorflow-gpu)
Requirement already up-to-date: funcsigs>=1; python_version < "3.3" in /usr/local/lib/python2.7/dist-packages (from mock>=2.0.0->tensorflow-gpu)
Requirement already up-to-date: pbr>=0.11 in ./.local/lib/python2.7/site-packages (from mock>=2.0.0->tensorflow-gpu)
Requirement already up-to-date: setuptools in ./.local/lib/python2.7/site-packages (from protobuf>=3.1.0->tensorflow-gpu)
Requirement already up-to-date: appdirs>=1.4.0 in ./.local/lib/python2.7/site-packages (from setuptools->protobuf>=3.1.0->tensorflow-gpu)
Requirement already up-to-date: packaging>=16.8 in ./.local/lib/python2.7/site-packages (from setuptools->protobuf>=3.1.0->tensorflow-gpu)
Requirement already up-to-date: pyparsing in ./.local/lib/python2.7/site-packages (from packaging>=16.8->setuptools->protobuf>=3.1.0->tensorflow-gpu)
Installing collected packages: tensorflow-gpu
Successfully installed tensorflow-gpu-1.0.1

$ python -c ‘import keras as tf;print tf.version‘

Using TensorFlow backend.
I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcublas.so.8.0 locally
I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcudnn.so.5 locally
I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcufft.so.8.0 locally
I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcuda.so.1 locally
I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcurand.so.8.0 locally
2.0.1

$ python -c ‘import tensorflow as tf;print tf.version‘

I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcublas.so.8.0 locally
I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcudnn.so.5 locally
I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcufft.so.8.0 locally
I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcuda.so.1 locally
I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcurand.so.8.0 locally
1.0.1

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