Python Tensorflow on CUDA 10.0

Author: hephaex

python-tensorflow/Dockerfile.1.13-py36-cuda10.0

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+FROM lablup/common-base:19.06-py36-cuda10
+
+# Install TensorFlow, Keras, PyTorch and MXNet
+ENV TENSORFLOW_VERSION=1.13.2
+ENV DEBIAN_FRONTEND=noninteractive
+ENV mecab_dicdir /usr/local/lib/mecab/dic/mecab-ko-dic
+
+# Set default shell to /bin/bash
+SHELL ["/bin/bash", "-cu"]
+
+# Install ipython kernelspec
+Run python3 -m ipykernel install --display-name "TensorFlow 1.13.2 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==1.13 \
+	    ngraph-tensorflow-bridge \
+	    tensor2tensor==1.13.4 \
+	    jupyter-tensorboard==0.2.0 \
+    	    tensorwatch==0.8.10 
+
+# 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" \
+      ai.backend.features="batch query uid-match user-input" \
+      ai.backend.base-distro="ubuntu16.04" \
+      ai.backend.resource.min.cpu="1" \
+      ai.backend.resource.min.mem="1g" \
+      ai.backend.resource.min.cuda.device=1 \
+      ai.backend.resource.min.cuda.shares=0.1 \
+      ai.backend.runtime-type="python" \
+      ai.backend.runtime-path="/usr/bin/python3" \
+      ai.backend.service-ports="jupyter:http:8080,jupyterlab:http:8090,ipython:pty:3000,tensorboard:http:6006"
+
+WORKDIR /home/work
+# vim: ft=dockerfile

python-tensorflow/Dockerfile.1.14-py36-cuda10.0

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+FROM lablup/common-base:19.09-py36-cuda10
+
+# Install TensorFlow, Keras, PyTorch and MXNet
+ENV TENSORFLOW_VERSION=1.14.0
+ENV DEBIAN_FRONTEND=noninteractive
+ENV mecab_dicdir /usr/local/lib/mecab/dic/mecab-ko-dic
+
+# Set default shell to /bin/bash
+SHELL ["/bin/bash", "-cu"]
+
+# Install ipython kernelspec
+Run python3 -m ipykernel install --display-name "TensorFlow 1.14.0 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==1.14 \
+	    ngraph-tensorflow-bridge \
+	    tensor2tensor==1.14.1 \
+	    jupyter-tensorboard==0.2.0 \
+    	    tensorwatch==0.8.10 
+
+# 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" \
+      ai.backend.features="batch query uid-match user-input" \
+      ai.backend.base-distro="ubuntu16.04" \
+      ai.backend.resource.min.cpu="1" \
+      ai.backend.resource.min.mem="1g" \
+      ai.backend.resource.min.cuda.device=1 \
+      ai.backend.resource.min.cuda.shares=0.1 \
+      ai.backend.runtime-type="python" \
+      ai.backend.runtime-path="/usr/bin/python3" \
+      ai.backend.service-ports="jupyter:http:8080,jupyterlab:http:8090,ipython:pty:3000,tensorboard:http:6006"
+
+WORKDIR /home/work
+# vim: ft=dockerfile