TF kernel update to support CUDA10.0 for TF 1.15 & 1.14

Author: hephaex

python-tensorflow/Dockerfile.1.15-py36-cuda10

@@ -1,9 +1,9 @@
 
-FROM lablup/common-base:19.12-py36-cuda10
+FROM lablup/common-base:20.03-py36-cuda10.0
 
 # Install TensorFlow, Keras, PyTorch and MXNet
 ENV TENSORFLOW_VERSION=1.15.2
-#ARG CUDA=10.1
+#ARG CUDA=10.0
 #ARG LIBNVINFER=6.0.1-1
 #ARG LIBNVINFER_MAJOR_VERSION=6
 #ENV CUDNN_VERSION=7.6.4.38-1+cuda10.1
@@ -20,6 +20,60 @@ RUN update-alternatives --install /usr/bin/python python /usr/bin/python3 2
 Run python3 -m ipykernel install --display-name "TensorFlow 1.15 on Python 3.6 (CUDA 10.0)" && \
     cat /usr/local/share/jupyter/kernels/python3/kernel.json
 
+RUN python3 -m pip install pip --no-cache-dir \
+	    pandas==1.0.1 \
+    	    tensorflow-gpu==${TENSORFLOW_VERSION} \
+       	    tensorboard==1.15 \
+	    tensorflow-transform==0.21.2 \
+	    tensorflow_model_analysis==0.21.6 \
+	    tensorflow-metadata==0.21.2 \
+	    ngraph-tensorflow-bridge \
+	    adanet==0.8.0
+
+RUN python3 -m pip install pip --no-cache-dir \
+	    tensorflow-datasets==2.1.0 \
+	    tensorflow_probability==0.9.0  \
+	    tensorflow-addons==0.8.3 \
+	    neural-structured-learning \
+	    tensorflow-model-optimization==0.2.1 \
+	    tensorflow-hub==0.7.0 \
+	    tensorflow_text==2.1.1 \
+	    tensorflow-graphics-gpu==1.0.0 \
+	    tensorflow-gan==2.0.0 \
+	    tensorflow_text==2.1.1 \
+	    tensorflow-data-validation==0.21.5 \
+	    fairness-indicators==0.1.2 \
+	    tensorboard-plugin-fairness-indicators==0.0.3 \
+	    fairness==0.1.8 \
+	    tfx==0.21.2 \
+	    tfx-bsl==0.21.4 \
+	    tf-agents==0.3.0  \
+	    tensorflow-lattice-gpu==0.9.8 \
+	    tensorflow-lattice==2.0.3 \
+	    tensorflow_ranking==0.2.3 \
+	    tensorflow-compression==1.3 \
+	    tensor2tensor==1.15.4 \
+	    mesh-tensorflow \
+	    tensorflow-io==0.12.0 \
+	    jupyter-tensorboard==0.2.0 \
+    	    tensorwatch==0.8.10 \
+	    jupyterlab-nvdashboard==0.2.0 
+
+RUN python3 -m pip install --no-cache-dir \
+    	    tensorwatch==0.8.10 \
+	    jupyterlab-nvdashboard==0.2.0 
+
+# Install Horovod, temporarily using CUDA stubs
+RUN ldconfig /usr/local/cuda/targets/x86_64-linux/lib/stubs && \
+    HOROVOD_GPU_ALLREDUCE=NCCL HOROVOD_GPU_BROADCAST=NCCL \
+    HOROVOD_WITH_TENSORFLOW=1 HOROVOD_WITHOUT_PYTORCH=1 HOROVOD_WITHOUT_MXNET=1 \
+    pip install --no-cache-dir horovod==0.19.0 && \
+    ldconfig
+
+RUN python3 -m pip install --no-cache-dir \
+    	    mpi4py==3.0.3 \
+	    nni
+
 # Backend.AI specifics
 LABEL ai.backend.kernelspec="1" \
       ai.backend.envs.corecount="OPENBLAS_NUM_THREADS,OMP_NUM_THREADS,NPROC" \