Update docker files to TensorFlow 1, Theano 0.9 (#6116)

- TensorFlow 1
- Theano 0.9 : also use "device=cuda" in theanorc to use new
"gpuarray" backend
- Miniconda 4.2.12 (latest conda installer with python 3.5)
- Simplified pip install for tensorflow and keras test dependencies

docker/Dockerfile

@@ -7,10 +7,10 @@ RUN mkdir -p $CONDA_DIR && \
     echo export PATH=$CONDA_DIR/bin:'$PATH' > /etc/profile.d/conda.sh && \
     apt-get update && \
     apt-get install -y wget git libhdf5-dev g++ graphviz && \
-    wget --quiet https://repo.continuum.io/miniconda/Miniconda3-3.9.1-Linux-x86_64.sh && \
+    wget --quiet https://repo.continuum.io/miniconda/Miniconda3-4.2.12-Linux-x86_64.sh && \
-    echo "6c6b44acdd0bc4229377ee10d52c8ac6160c336d9cdd669db7371aa9344e1ac3 *Miniconda3-3.9.1-Linux-x86_64.sh" | sha256sum -c - && \
+    echo "c59b3dd3cad550ac7596e0d599b91e75d88826db132e4146030ef471bb434e9a *Miniconda3-4.2.12-Linux-x86_64.sh" | sha256sum -c - && \
-    /bin/bash /Miniconda3-3.9.1-Linux-x86_64.sh -f -b -p $CONDA_DIR && \
+    /bin/bash /Miniconda3-4.2.12-Linux-x86_64.sh -f -b -p $CONDA_DIR && \
-    rm Miniconda3-3.9.1-Linux-x86_64.sh
+    rm Miniconda3-4.2.12-Linux-x86_64.sh
 
 ENV NB_USER keras
 ENV NB_UID 1000
@@ -24,13 +24,14 @@ RUN useradd -m -s /bin/bash -N -u $NB_UID $NB_USER && \
 USER keras
 
 # Python
-ARG python_version=3.5.2
+ARG python_version=3.5
-ARG tensorflow_version=0.12.0rc0-cp35-cp35m
+
 RUN conda install -y python=${python_version} && \
-    pip install https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-${tensorflow_version}-linux_x86_64.whl && \
+    pip install --upgrade pip && \
-    pip install git+git://github.com/Theano/Theano.git && \
+    pip install tensorflow-gpu && \
-    pip install ipdb pytest pytest-cov python-coveralls coverage==3.7.1 pytest-xdist pep8 pytest-pep8 pydot_ng && \
+    conda install Pillow scikit-learn notebook pandas matplotlib mkl nose pyyaml six h5py && \
-    conda install Pillow scikit-learn notebook pandas matplotlib nose pyyaml six h5py && \
+    conda install theano pygpu && \
+    git clone git://github.com/fchollet/keras.git /src && pip install -e /src[tests] && \
     pip install git+git://github.com/fchollet/keras.git && \
     conda clean -yt
 

docker/theanorc

@@ -1,5 +1,5 @@
 [global]
 floatX = float32
 optimizer=None
-device = gpu
+device = cuda