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rename cuda version 10
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python-tensorflow/Dockerfile.1.13-py36-cuda10

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# Lablup/Python-TensorFlow 1.15 Python 3.6, CUDA10.0
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# Lablup/Python-TensorFlow 1.13 Python 3.6, CUDA10
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FROM lablup/common-base:20.03-py36-cuda10
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FROM lablup/common-base:19.06-py36-cuda10
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MAINTAINER Mario Cho "[email protected]"
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# Install TensorFlow
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ENV TENSORFLOW_VERSION=1.15.3
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ENV TENSORFLOW_VERSION=1.13.1
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ENV DEBIAN_FRONTEND=noninteractive
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# Install ipython kernelspec
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Run python3 -m ipykernel install --display-name "TensorFlow 1.15.3 on Python 3.6 (CUDA 10)" && \
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Run python3 -m ipykernel install --display-name "TensorFlow 1.13.1 on Python 3.6 (CUDA 10)" && \
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cat /usr/local/share/jupyter/kernels/python3/kernel.json
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RUN python3 -m pip install pip --no-cache-dir \
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pandas==1.0.1 \
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tensorflow-gpu==${TENSORFLOW_VERSION} \
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tensorboard==1.15 \
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tensorboard==1.13 \
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ngraph-tensorflow-bridge \
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tensor2tensor==1.15.4 \
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tensor2tensor==1.13.4 \
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jupyter-tensorboard==0.2.0 \
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tensorwatch==0.8.10
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python-tensorflow/Dockerfile.1.14-py36-cuda10

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# Lablup/Python-TensorFlow 1.15 Python 3.6, CUDA10.0
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# Lablup/Python-TensorFlow 1.14 Python 3.6, CUDA10.0
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FROM lablup/common-base:20.03-py36-cuda10
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FROM lablup/common-base:19.09-py36-cuda10
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MAINTAINER Mario Cho "[email protected]"
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# Install TensorFlow
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ENV TENSORFLOW_VERSION=1.15.3
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ENV TENSORFLOW_VERSION=1.14.0
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ENV DEBIAN_FRONTEND=noninteractive
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# Install ipython kernelspec
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Run python3 -m ipykernel install --display-name "TensorFlow 1.15.3 on Python 3.6 (CUDA 10)" && \
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Run python3 -m ipykernel install --display-name "TensorFlow 1.14 on Python 3.6 (CUDA 10)" && \
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cat /usr/local/share/jupyter/kernels/python3/kernel.json
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RUN python3 -m pip install pip --no-cache-dir \
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pandas==1.0.1 \
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tensorflow-gpu==${TENSORFLOW_VERSION} \
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tensorboard==1.15 \
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tensorboard==1.14 \
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ngraph-tensorflow-bridge \
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tensor2tensor==1.15.4 \
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tensor2tensor==1.14.1 \
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jupyter-tensorboard==0.2.0 \
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tensorwatch==0.8.10
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python-tensorflow/Dockerfile.1.15-py36-cuda10

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FROM lablup/common-base:20.03-py36-cuda10.0
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FROM lablup/common-base:20.03-py36-cuda10
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# Install TensorFlow
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ENV TENSORFLOW_VERSION=1.15.3
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ENV DEBIAN_FRONTEND=noninteractive
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ENV mecab_dicdir /usr/local/lib/mecab/dic/mecab-ko-dic
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# Set default shell to /bin/bash
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SHELL ["/bin/bash", "-cu"]
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# Install ipython kernelspec
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Run python3 -m ipykernel install --display-name "TensorFlow 1.15.3 on Python 3.6 (CUDA 10.0)" && \
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RUN python3 -m pip install pip --no-cache-dir \
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pandas==1.0.1 \
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tensorflow-gpu==${TENSORFLOW_VERSION} \
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tensorboard==1.15 \
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tensorboard==1.15.0 \
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ngraph-tensorflow-bridge \
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tensor2tensor==1.15.4 \
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tensor2tensor==1.15.5 \
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jupyter-tensorboard==0.2.0 \
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tensorwatch==0.8.10
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python-tensorflow/Dockerfile.1.15-py36-cuda10.0

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