├── .gitignore ├── Dockerfile ├── Dockerfile.cpu ├── Dockerfile.gpu ├── Dockerfile.py2 ├── Dockerfile.py2-cntk-cpu ├── Dockerfile.py2-cntk-gpu ├── Dockerfile.py2-tf-cpu ├── Dockerfile.py2-tf-gpu ├── Dockerfile.py2-th-cpu ├── Dockerfile.py2-th-gpu ├── Dockerfile.py3 ├── Dockerfile.py3-cntk-cpu ├── Dockerfile.py3-cntk-gpu ├── Dockerfile.py3-tf-cpu ├── Dockerfile.py3-tf-gpu ├── Dockerfile.py3-th-cpu ├── Dockerfile.py3-th-gpu ├── LICENSE_AGPL-3.0.txt └── README.md /.gitignore: -------------------------------------------------------------------------------- 1 | .* 2 | -------------------------------------------------------------------------------- /Dockerfile: -------------------------------------------------------------------------------- 1 | Dockerfile.py2-tf-cpu -------------------------------------------------------------------------------- /Dockerfile.cpu: -------------------------------------------------------------------------------- 1 | Dockerfile.py2-tf-cpu -------------------------------------------------------------------------------- /Dockerfile.gpu: -------------------------------------------------------------------------------- 1 | Dockerfile.py2-tf-gpu -------------------------------------------------------------------------------- /Dockerfile.py2: -------------------------------------------------------------------------------- 1 | Dockerfile.py2-tf-cpu -------------------------------------------------------------------------------- /Dockerfile.py2-cntk-cpu: -------------------------------------------------------------------------------- 1 | # docker-keras - Keras in Docker with Python 2 and CNTK on CPU 2 | 3 | FROM debian:stretch 4 | MAINTAINER gw0 [http://gw.tnode.com/] 5 | 6 | # install debian packages 7 | ENV DEBIAN_FRONTEND noninteractive 8 | RUN apt-get update -qq \ 9 | && apt-get install --no-install-recommends -y \ 10 | # install essentials 11 | build-essential \ 12 | g++ \ 13 | git \ 14 | openssh-client \ 15 | # install python 2 16 | python \ 17 | python-dev \ 18 | python-pip \ 19 | python-setuptools \ 20 | python-virtualenv \ 21 | python-wheel \ 22 | pkg-config \ 23 | # requirements for numpy 24 | libopenblas-base \ 25 | python-numpy \ 26 | python-scipy \ 27 | # requirements for keras 28 | python-h5py \ 29 | python-yaml \ 30 | python-pydot \ 31 | # other repositories 32 | ubuntu-archive-keyring \ 33 | && apt-get clean \ 34 | && rm -rf /var/lib/apt/lists/* 35 | 36 | # install from old ubuntu repositories for cntk 37 | RUN echo 'deb http://archive.ubuntu.com/ubuntu/ xenial main restricted universe multiverse' > /etc/apt/sources.list.d/ubuntu-16.04.list 38 | RUN apt-get update -qq \ 39 | && apt-get install --no-install-recommends -y \ 40 | # requirements for cntk 41 | openmpi-bin=1.10.2-8ubuntu1 \ 42 | openmpi-common=1.10.2-8ubuntu1 \ 43 | && apt-get clean \ 44 | && rm -rf /var/lib/apt/lists/* 45 | 46 | ARG CNTK_VERSION=2.4 47 | ARG CNTK_DEVICE=CPU-Only 48 | RUN pip --no-cache-dir install https://cntk.ai/PythonWheel/${CNTK_DEVICE}/cntk-${CNTK_VERSION}-cp27-cp27mu-linux_x86_64.whl 49 | 50 | ARG KERAS_VERSION=2.1.4 51 | ENV KERAS_BACKEND=cntk 52 | RUN pip --no-cache-dir install --no-dependencies git+https://github.com/fchollet/keras.git@${KERAS_VERSION} 53 | 54 | # quick test and dump package lists 55 | RUN python -c "import cntk; print(cntk.__version__)" \ 56 | && dpkg-query -l > /dpkg-query-l.txt \ 57 | && pip2 freeze > /pip2-freeze.txt 58 | 59 | WORKDIR /srv/ 60 | -------------------------------------------------------------------------------- /Dockerfile.py2-cntk-gpu: -------------------------------------------------------------------------------- 1 | # docker-keras - Keras in Docker with Python 2 and CNTK on GPU 2 | 3 | FROM gw000/debian-cuda:9.1_7.0 4 | MAINTAINER gw0 [http://gw.tnode.com/] 5 | 6 | # install debian packages 7 | ENV DEBIAN_FRONTEND noninteractive 8 | RUN apt-get update -qq \ 9 | && apt-get install --no-install-recommends -y \ 10 | # install essentials 11 | build-essential \ 12 | g++ \ 13 | git \ 14 | openssh-client \ 15 | # install python 2 16 | python \ 17 | python-dev \ 18 | python-pip \ 19 | python-setuptools \ 20 | python-virtualenv \ 21 | python-wheel \ 22 | pkg-config \ 23 | # requirements for numpy 24 | libopenblas-base \ 25 | python-numpy \ 26 | python-scipy \ 27 | # requirements for keras 28 | python-h5py \ 29 | python-yaml \ 30 | python-pydot \ 31 | # other repositories 32 | ubuntu-archive-keyring \ 33 | && apt-get clean \ 34 | && rm -rf /var/lib/apt/lists/* 35 | 36 | # install from old ubuntu repositories for cntk 37 | RUN echo 'deb http://archive.ubuntu.com/ubuntu/ xenial main restricted universe multiverse' > /etc/apt/sources.list.d/ubuntu-16.04.list 38 | RUN apt-get update -qq \ 39 | && apt-get install --no-install-recommends -y \ 40 | # requirements for cntk 41 | openmpi-bin=1.10.2-8ubuntu1 \ 42 | openmpi-common=1.10.2-8ubuntu1 \ 43 | && apt-get clean \ 44 | && rm -rf /var/lib/apt/lists/* 45 | 46 | ARG CNTK_VERSION=2.4 47 | ARG CNTK_DEVICE=GPU 48 | RUN pip --no-cache-dir install https://cntk.ai/PythonWheel/${CNTK_DEVICE}/cntk-${CNTK_VERSION}-cp27-cp27mu-linux_x86_64.whl 49 | 50 | ARG KERAS_VERSION=2.1.4 51 | ENV KERAS_BACKEND=cntk 52 | RUN pip --no-cache-dir install --no-dependencies git+https://github.com/fchollet/keras.git@${KERAS_VERSION} 53 | 54 | # quick test and dump package lists 55 | RUN python -c "import cntk; print(cntk.__version__)" \ 56 | && dpkg-query -l > /dpkg-query-l.txt \ 57 | && pip2 freeze > /pip2-freeze.txt 58 | 59 | WORKDIR /srv/ 60 | -------------------------------------------------------------------------------- /Dockerfile.py2-tf-cpu: -------------------------------------------------------------------------------- 1 | # docker-keras - Keras in Docker with Python 2 and TensorFlow on CPU 2 | 3 | FROM debian:stretch 4 | MAINTAINER gw0 [http://gw.tnode.com/] 5 | 6 | # install debian packages 7 | ENV DEBIAN_FRONTEND noninteractive 8 | RUN apt-get update -qq \ 9 | && apt-get install --no-install-recommends -y \ 10 | # install essentials 11 | build-essential \ 12 | g++ \ 13 | git \ 14 | openssh-client \ 15 | # install python 2 16 | python \ 17 | python-dev \ 18 | python-pip \ 19 | python-setuptools \ 20 | python-virtualenv \ 21 | python-wheel \ 22 | pkg-config \ 23 | # requirements for numpy 24 | libopenblas-base \ 25 | python-numpy \ 26 | python-scipy \ 27 | # requirements for keras 28 | python-h5py \ 29 | python-yaml \ 30 | python-pydot \ 31 | && apt-get clean \ 32 | && rm -rf /var/lib/apt/lists/* 33 | 34 | # manually update numpy 35 | RUN pip --no-cache-dir install -U numpy==1.13.3 36 | 37 | ARG TENSORFLOW_VERSION=1.5.0 38 | ARG TENSORFLOW_DEVICE=cpu 39 | ARG TENSORFLOW_APPEND= 40 | RUN pip --no-cache-dir install https://storage.googleapis.com/tensorflow/linux/${TENSORFLOW_DEVICE}/tensorflow${TENSORFLOW_APPEND}-${TENSORFLOW_VERSION}-cp27-none-linux_x86_64.whl 41 | 42 | ARG KERAS_VERSION=2.1.4 43 | ENV KERAS_BACKEND=tensorflow 44 | RUN pip --no-cache-dir install --no-dependencies git+https://github.com/fchollet/keras.git@${KERAS_VERSION} 45 | 46 | # quick test and dump package lists 47 | RUN python -c "import tensorflow; print(tensorflow.__version__)" \ 48 | && dpkg-query -l > /dpkg-query-l.txt \ 49 | && pip2 freeze > /pip2-freeze.txt 50 | 51 | WORKDIR /srv/ 52 | -------------------------------------------------------------------------------- /Dockerfile.py2-tf-gpu: -------------------------------------------------------------------------------- 1 | # docker-keras - Keras in Docker with Python 2 and TensorFlow on GPU 2 | 3 | FROM gw000/debian-cuda:9.1_7.0 4 | MAINTAINER gw0 [http://gw.tnode.com/] 5 | 6 | # install debian packages 7 | ENV DEBIAN_FRONTEND noninteractive 8 | RUN apt-get update -qq \ 9 | && apt-get install --no-install-recommends -y \ 10 | # install essentials 11 | build-essential \ 12 | g++ \ 13 | git \ 14 | openssh-client \ 15 | # install python 2 16 | python \ 17 | python-dev \ 18 | python-pip \ 19 | python-setuptools \ 20 | python-virtualenv \ 21 | python-wheel \ 22 | pkg-config \ 23 | # requirements for numpy 24 | libopenblas-base \ 25 | python-numpy \ 26 | python-scipy \ 27 | # requirements for keras 28 | python-h5py \ 29 | python-yaml \ 30 | python-pydot \ 31 | && apt-get clean \ 32 | && rm -rf /var/lib/apt/lists/* 33 | 34 | # manually update numpy 35 | RUN pip --no-cache-dir install -U numpy==1.13.3 36 | 37 | ARG TENSORFLOW_VERSION=1.5.0 38 | ARG TENSORFLOW_DEVICE=gpu 39 | ARG TENSORFLOW_APPEND=_gpu 40 | RUN pip --no-cache-dir install https://storage.googleapis.com/tensorflow/linux/${TENSORFLOW_DEVICE}/tensorflow${TENSORFLOW_APPEND}-${TENSORFLOW_VERSION}-cp27-none-linux_x86_64.whl 41 | 42 | ARG KERAS_VERSION=2.1.4 43 | ENV KERAS_BACKEND=tensorflow 44 | RUN pip --no-cache-dir install --no-dependencies git+https://github.com/fchollet/keras.git@${KERAS_VERSION} 45 | 46 | # quick test and dump package lists 47 | RUN python -c "import tensorflow; print(tensorflow.__version__)" \ 48 | && dpkg-query -l > /dpkg-query-l.txt \ 49 | && pip2 freeze > /pip2-freeze.txt 50 | 51 | WORKDIR /srv/ 52 | -------------------------------------------------------------------------------- /Dockerfile.py2-th-cpu: -------------------------------------------------------------------------------- 1 | # docker-keras - Keras in Docker with Python 2 and Theano on CPU 2 | 3 | FROM debian:stretch 4 | MAINTAINER gw0 [http://gw.tnode.com/] 5 | 6 | # install debian packages 7 | ENV DEBIAN_FRONTEND noninteractive 8 | RUN apt-get update -qq \ 9 | && apt-get install --no-install-recommends -y \ 10 | # install essentials 11 | build-essential \ 12 | g++ \ 13 | git \ 14 | openssh-client \ 15 | # install python 2 16 | python \ 17 | python-dev \ 18 | python-pip \ 19 | python-setuptools \ 20 | python-virtualenv \ 21 | python-wheel \ 22 | pkg-config \ 23 | # requirements for numpy 24 | libopenblas-base \ 25 | python-numpy \ 26 | python-scipy \ 27 | # requirements for keras 28 | python-h5py \ 29 | python-yaml \ 30 | python-pydot \ 31 | && apt-get clean \ 32 | && rm -rf /var/lib/apt/lists/* 33 | 34 | ARG THEANO_VERSION=1.0.1 35 | ENV THEANO_FLAGS='device=cpu,floatX=float32' 36 | RUN pip --no-cache-dir install git+https://github.com/Theano/Theano.git@rel-${THEANO_VERSION} 37 | 38 | ARG KERAS_VERSION=2.1.4 39 | ENV KERAS_BACKEND=theano 40 | RUN pip --no-cache-dir install --no-dependencies git+https://github.com/fchollet/keras.git@${KERAS_VERSION} 41 | 42 | # quick test and dump package lists 43 | RUN python -c "import theano; print(theano.__version__)" \ 44 | && dpkg-query -l > /dpkg-query-l.txt \ 45 | && pip2 freeze > /pip2-freeze.txt 46 | 47 | WORKDIR /srv/ 48 | -------------------------------------------------------------------------------- /Dockerfile.py2-th-gpu: -------------------------------------------------------------------------------- 1 | # docker-keras - Keras in Docker with Python 2 and Theano on GPU 2 | 3 | FROM gw000/debian-cuda:9.1_7.0 4 | MAINTAINER gw0 [http://gw.tnode.com/] 5 | 6 | # install debian packages 7 | ENV DEBIAN_FRONTEND noninteractive 8 | RUN apt-get update -qq \ 9 | && apt-get install --no-install-recommends -y \ 10 | # install essentials 11 | build-essential \ 12 | g++ \ 13 | git \ 14 | openssh-client \ 15 | # install python 2 16 | python \ 17 | python-dev \ 18 | python-pip \ 19 | python-setuptools \ 20 | python-virtualenv \ 21 | python-wheel \ 22 | pkg-config \ 23 | # requirements for numpy 24 | libopenblas-base \ 25 | python-numpy \ 26 | python-scipy \ 27 | # requirements for keras 28 | python-h5py \ 29 | python-yaml \ 30 | python-pydot \ 31 | # requirements for theano 32 | cmake \ 33 | cython \ 34 | && apt-get clean \ 35 | && rm -rf /var/lib/apt/lists/* 36 | 37 | # build and install requirements for theano 38 | RUN git clone https://github.com/Theano/libgpuarray.git /tmp/libgpuarray \ 39 | && cd /tmp/libgpuarray \ 40 | && mkdir ./Build \ 41 | && cd ./Build \ 42 | && cmake .. -DCMAKE_BUILD_TYPE=Release \ 43 | && make \ 44 | && make install \ 45 | && cd .. \ 46 | && python setup.py build \ 47 | && python setup.py install \ 48 | && cd / \ 49 | && rm -rf /tmp/libgpuarray \ 50 | && ldconfig 51 | 52 | ARG THEANO_VERSION=1.0.1 53 | ENV THEANO_FLAGS='device=cuda,floatX=float32' 54 | RUN pip --no-cache-dir install git+https://github.com/Theano/Theano.git@rel-${THEANO_VERSION} 55 | 56 | ARG KERAS_VERSION=2.1.4 57 | ENV KERAS_BACKEND=theano 58 | RUN pip --no-cache-dir install --no-dependencies git+https://github.com/fchollet/keras.git@${KERAS_VERSION} 59 | 60 | # quick test and dump package lists 61 | RUN python -c "import theano; print(theano.__version__)" \ 62 | && dpkg-query -l > /dpkg-query-l.txt \ 63 | && pip2 freeze > /pip2-freeze.txt 64 | 65 | WORKDIR /srv/ 66 | -------------------------------------------------------------------------------- /Dockerfile.py3: -------------------------------------------------------------------------------- 1 | Dockerfile.py3-tf-cpu -------------------------------------------------------------------------------- /Dockerfile.py3-cntk-cpu: -------------------------------------------------------------------------------- 1 | # docker-keras - Keras in Docker with Python 3 and CNTK on CPU 2 | 3 | FROM debian:stretch 4 | MAINTAINER gw0 [http://gw.tnode.com/] 5 | 6 | # install debian packages 7 | ENV DEBIAN_FRONTEND noninteractive 8 | RUN apt-get update -qq \ 9 | && apt-get install --no-install-recommends -y \ 10 | # install essentials 11 | build-essential \ 12 | g++ \ 13 | git \ 14 | openssh-client \ 15 | # install python 3 16 | python3 \ 17 | python3-dev \ 18 | python3-pip \ 19 | python3-setuptools \ 20 | python3-virtualenv \ 21 | python3-wheel \ 22 | pkg-config \ 23 | # requirements for numpy 24 | libopenblas-base \ 25 | python3-numpy \ 26 | python3-scipy \ 27 | # requirements for keras 28 | python3-h5py \ 29 | python3-yaml \ 30 | python3-pydot \ 31 | # other repositories 32 | ubuntu-archive-keyring \ 33 | && apt-get clean \ 34 | && rm -rf /var/lib/apt/lists/* 35 | 36 | # install from old ubuntu repositories for cntk 37 | RUN echo 'deb http://archive.ubuntu.com/ubuntu/ xenial main restricted universe multiverse' > /etc/apt/sources.list.d/ubuntu-16.04.list 38 | RUN apt-get update -qq \ 39 | && apt-get install --no-install-recommends -y \ 40 | # requirements for cntk 41 | openmpi-bin=1.10.2-8ubuntu1 \ 42 | openmpi-common=1.10.2-8ubuntu1 \ 43 | && apt-get clean \ 44 | && rm -rf /var/lib/apt/lists/* 45 | 46 | ARG CNTK_VERSION=2.4 47 | ARG CNTK_DEVICE=CPU-Only 48 | RUN pip3 --no-cache-dir install https://cntk.ai/PythonWheel/${CNTK_DEVICE}/cntk-${CNTK_VERSION}-cp35-cp35m-linux_x86_64.whl 49 | 50 | ARG KERAS_VERSION=2.1.4 51 | ENV KERAS_BACKEND=cntk 52 | RUN pip3 --no-cache-dir install --no-dependencies git+https://github.com/fchollet/keras.git@${KERAS_VERSION} 53 | 54 | # quick test and dump package lists 55 | RUN python3 -c "import cntk; print(cntk.__version__)" \ 56 | && dpkg-query -l > /dpkg-query-l.txt \ 57 | && pip3 freeze > /pip3-freeze.txt 58 | 59 | WORKDIR /srv/ 60 | -------------------------------------------------------------------------------- /Dockerfile.py3-cntk-gpu: -------------------------------------------------------------------------------- 1 | # docker-keras - Keras in Docker with Python 3 and CNTK on GPU 2 | 3 | FROM gw000/debian-cuda:9.1_7.0 4 | MAINTAINER gw0 [http://gw.tnode.com/] 5 | 6 | # install debian packages 7 | ENV DEBIAN_FRONTEND noninteractive 8 | RUN apt-get update -qq \ 9 | && apt-get install --no-install-recommends -y \ 10 | # install essentials 11 | build-essential \ 12 | g++ \ 13 | git \ 14 | openssh-client \ 15 | # install python 3 16 | python3 \ 17 | python3-dev \ 18 | python3-pip \ 19 | python3-setuptools \ 20 | python3-virtualenv \ 21 | python3-wheel \ 22 | pkg-config \ 23 | # requirements for numpy 24 | libopenblas-base \ 25 | python3-numpy \ 26 | python3-scipy \ 27 | # requirements for keras 28 | python3-h5py \ 29 | python3-yaml \ 30 | python3-pydot \ 31 | # other repositories 32 | ubuntu-archive-keyring \ 33 | && apt-get clean \ 34 | && rm -rf /var/lib/apt/lists/* 35 | 36 | # install from old ubuntu repositories for cntk 37 | RUN echo 'deb http://archive.ubuntu.com/ubuntu/ xenial main restricted universe multiverse' > /etc/apt/sources.list.d/ubuntu-16.04.list 38 | RUN apt-get update -qq \ 39 | && apt-get install --no-install-recommends -y \ 40 | # requirements for cntk 41 | openmpi-bin=1.10.2-8ubuntu1 \ 42 | openmpi-common=1.10.2-8ubuntu1 \ 43 | && apt-get clean \ 44 | && rm -rf /var/lib/apt/lists/* 45 | 46 | ARG CNTK_VERSION=2.4 47 | ARG CNTK_DEVICE=GPU 48 | RUN pip3 --no-cache-dir install https://cntk.ai/PythonWheel/${CNTK_DEVICE}/cntk-${CNTK_VERSION}-cp35-cp35m-linux_x86_64.whl 49 | 50 | ARG KERAS_VERSION=2.1.4 51 | ENV KERAS_BACKEND=cntk 52 | RUN pip3 --no-cache-dir install --no-dependencies git+https://github.com/fchollet/keras.git@${KERAS_VERSION} 53 | 54 | # quick test and dump package lists 55 | RUN python3 -c "import cntk; print(cntk.__version__)" \ 56 | && dpkg-query -l > /dpkg-query-l.txt \ 57 | && pip3 freeze > /pip3-freeze.txt 58 | 59 | WORKDIR /srv/ 60 | -------------------------------------------------------------------------------- /Dockerfile.py3-tf-cpu: -------------------------------------------------------------------------------- 1 | # docker-keras - Keras in Docker with Python 3 and TensorFlow on CPU 2 | 3 | FROM debian:stretch 4 | MAINTAINER gw0 [http://gw.tnode.com/] 5 | 6 | # install debian packages 7 | ENV DEBIAN_FRONTEND noninteractive 8 | RUN apt-get update -qq \ 9 | && apt-get install --no-install-recommends -y \ 10 | # install essentials 11 | build-essential \ 12 | g++ \ 13 | git \ 14 | openssh-client \ 15 | # install python 3 16 | python3 \ 17 | python3-dev \ 18 | python3-pip \ 19 | python3-setuptools \ 20 | python3-virtualenv \ 21 | python3-wheel \ 22 | pkg-config \ 23 | # requirements for numpy 24 | libopenblas-base \ 25 | python3-numpy \ 26 | python3-scipy \ 27 | # requirements for keras 28 | python3-h5py \ 29 | python3-yaml \ 30 | python3-pydot \ 31 | && apt-get clean \ 32 | && rm -rf /var/lib/apt/lists/* 33 | 34 | # manually update numpy 35 | RUN pip3 --no-cache-dir install -U numpy==1.13.3 36 | 37 | ARG TENSORFLOW_VERSION=1.5.0 38 | ARG TENSORFLOW_DEVICE=cpu 39 | ARG TENSORFLOW_APPEND= 40 | RUN pip3 --no-cache-dir install https://storage.googleapis.com/tensorflow/linux/${TENSORFLOW_DEVICE}/tensorflow${TENSORFLOW_APPEND}-${TENSORFLOW_VERSION}-cp35-cp35m-linux_x86_64.whl 41 | 42 | ARG KERAS_VERSION=2.1.4 43 | ENV KERAS_BACKEND=tensorflow 44 | RUN pip3 --no-cache-dir install --no-dependencies git+https://github.com/fchollet/keras.git@${KERAS_VERSION} 45 | 46 | # quick test and dump package lists 47 | RUN python3 -c "import tensorflow; print(tensorflow.__version__)" \ 48 | && dpkg-query -l > /dpkg-query-l.txt \ 49 | && pip3 freeze > /pip3-freeze.txt 50 | 51 | WORKDIR /srv/ 52 | -------------------------------------------------------------------------------- /Dockerfile.py3-tf-gpu: -------------------------------------------------------------------------------- 1 | # docker-keras - Keras in Docker with Python 3 and TensorFlow on GPU 2 | 3 | FROM gw000/debian-cuda:9.1_7.0 4 | MAINTAINER gw0 [http://gw.tnode.com/] 5 | 6 | # install debian packages 7 | ENV DEBIAN_FRONTEND noninteractive 8 | RUN apt-get update -qq \ 9 | && apt-get install --no-install-recommends -y \ 10 | # install essentials 11 | build-essential \ 12 | g++ \ 13 | git \ 14 | openssh-client \ 15 | # install python 3 16 | python3 \ 17 | python3-dev \ 18 | python3-pip \ 19 | python3-setuptools \ 20 | python3-virtualenv \ 21 | python3-wheel \ 22 | pkg-config \ 23 | # requirements for numpy 24 | libopenblas-base \ 25 | python3-numpy \ 26 | python3-scipy \ 27 | # requirements for keras 28 | python3-h5py \ 29 | python3-yaml \ 30 | python3-pydot \ 31 | && apt-get clean \ 32 | && rm -rf /var/lib/apt/lists/* 33 | 34 | # manually update numpy 35 | RUN pip3 --no-cache-dir install -U numpy==1.13.3 36 | 37 | ARG TENSORFLOW_VERSION=1.5.0 38 | ARG TENSORFLOW_DEVICE=gpu 39 | ARG TENSORFLOW_APPEND=_gpu 40 | RUN pip3 --no-cache-dir install https://storage.googleapis.com/tensorflow/linux/${TENSORFLOW_DEVICE}/tensorflow${TENSORFLOW_APPEND}-${TENSORFLOW_VERSION}-cp35-cp35m-linux_x86_64.whl 41 | 42 | ARG KERAS_VERSION=2.1.4 43 | ENV KERAS_BACKEND=tensorflow 44 | RUN pip3 --no-cache-dir install --no-dependencies git+https://github.com/fchollet/keras.git@${KERAS_VERSION} 45 | 46 | # quick test and dump package lists 47 | RUN python3 -c "import tensorflow; print(tensorflow.__version__)" \ 48 | && dpkg-query -l > /dpkg-query-l.txt \ 49 | && pip3 freeze > /pip3-freeze.txt 50 | 51 | WORKDIR /srv/ 52 | -------------------------------------------------------------------------------- /Dockerfile.py3-th-cpu: -------------------------------------------------------------------------------- 1 | # docker-keras - Keras in Docker with Python 3 and Theano on CPU 2 | 3 | FROM debian:stretch 4 | MAINTAINER gw0 [http://gw.tnode.com/] 5 | 6 | # install debian packages 7 | ENV DEBIAN_FRONTEND noninteractive 8 | RUN apt-get update -qq \ 9 | && apt-get install --no-install-recommends -y \ 10 | # install essentials 11 | build-essential \ 12 | g++ \ 13 | git \ 14 | openssh-client \ 15 | # install python 3 16 | python3 \ 17 | python3-dev \ 18 | python3-pip \ 19 | python3-setuptools \ 20 | python3-virtualenv \ 21 | python3-wheel \ 22 | pkg-config \ 23 | # requirements for numpy 24 | libopenblas-base \ 25 | python3-numpy \ 26 | python3-scipy \ 27 | # requirements for keras 28 | python3-h5py \ 29 | python3-yaml \ 30 | python3-pydot \ 31 | && apt-get clean \ 32 | && rm -rf /var/lib/apt/lists/* 33 | 34 | ARG THEANO_VERSION=1.0.1 35 | ENV THEANO_FLAGS='device=cpu,floatX=float32' 36 | RUN pip3 --no-cache-dir install git+https://github.com/Theano/Theano.git@rel-${THEANO_VERSION} 37 | 38 | ARG KERAS_VERSION=2.1.4 39 | ENV KERAS_BACKEND=theano 40 | RUN pip3 --no-cache-dir install --no-dependencies git+https://github.com/fchollet/keras.git@${KERAS_VERSION} 41 | 42 | # quick test and dump package lists 43 | RUN python3 -c "import theano; print(theano.__version__)" \ 44 | && dpkg-query -l > /dpkg-query-l.txt \ 45 | && pip3 freeze > /pip3-freeze.txt 46 | 47 | WORKDIR /srv/ 48 | -------------------------------------------------------------------------------- /Dockerfile.py3-th-gpu: -------------------------------------------------------------------------------- 1 | # docker-keras - Keras in Docker with Python 3 and Theano on GPU 2 | 3 | FROM gw000/debian-cuda:9.1_7.0 4 | MAINTAINER gw0 [http://gw.tnode.com/] 5 | 6 | # install debian packages 7 | ENV DEBIAN_FRONTEND noninteractive 8 | RUN apt-get update -qq \ 9 | && apt-get install --no-install-recommends -y \ 10 | # install essentials 11 | build-essential \ 12 | g++ \ 13 | git \ 14 | openssh-client \ 15 | # install python 3 16 | python3 \ 17 | python3-dev \ 18 | python3-pip \ 19 | python3-setuptools \ 20 | python3-virtualenv \ 21 | python3-wheel \ 22 | pkg-config \ 23 | # requirements for numpy 24 | libopenblas-base \ 25 | python3-numpy \ 26 | python3-scipy \ 27 | # requirements for keras 28 | python3-h5py \ 29 | python3-yaml \ 30 | python3-pydot \ 31 | # requirements for theano 32 | cmake \ 33 | cython3 \ 34 | && apt-get clean \ 35 | && rm -rf /var/lib/apt/lists/* 36 | 37 | # build and install requirements for theano 38 | RUN git clone https://github.com/Theano/libgpuarray.git /tmp/libgpuarray \ 39 | && cd /tmp/libgpuarray \ 40 | && mkdir ./Build \ 41 | && cd ./Build \ 42 | && cmake .. -DCMAKE_BUILD_TYPE=Release \ 43 | && make \ 44 | && make install \ 45 | && cd .. \ 46 | && python3 setup.py build \ 47 | && python3 setup.py install \ 48 | && cd / \ 49 | && rm -rf /tmp/libgpuarray \ 50 | && ldconfig 51 | 52 | ARG THEANO_VERSION=1.0.1 53 | ENV THEANO_FLAGS='device=cuda,floatX=float32' 54 | RUN pip3 --no-cache-dir install git+https://github.com/Theano/Theano.git@rel-${THEANO_VERSION} 55 | 56 | ARG KERAS_VERSION=2.1.4 57 | ENV KERAS_BACKEND=theano 58 | RUN pip3 --no-cache-dir install --no-dependencies git+https://github.com/fchollet/keras.git@${KERAS_VERSION} 59 | 60 | # quick test and dump package lists 61 | RUN python3 -c "import theano; print(theano.__version__)" \ 62 | && dpkg-query -l > /dpkg-query-l.txt \ 63 | && pip3 freeze > /pip3-freeze.txt 64 | 65 | WORKDIR /srv/ 66 | -------------------------------------------------------------------------------- /LICENSE_AGPL-3.0.txt: -------------------------------------------------------------------------------- 1 | Copyright (c) 2016-2018 gw0 [http://gw.tnode.com/] 2 | 3 | License: GNU Affero General Public License 3.0+ (AGPL-3.0+) 4 | Source: http://www.gnu.org/licenses/agpl-3.0.txt 5 | 6 | GNU AFFERO GENERAL PUBLIC LICENSE 7 | Version 3, 19 November 2007 8 | 9 | Copyright (C) 2007 Free Software Foundation, Inc. 10 | Everyone is permitted to copy and distribute verbatim copies 11 | of this license document, but changing it is not allowed. 12 | 13 | Preamble 14 | 15 | The GNU Affero General Public License is a free, copyleft license for 16 | software and other kinds of works, specifically designed to ensure 17 | cooperation with the community in the case of network server software. 18 | 19 | The licenses for most software and other practical works are designed 20 | to take away your freedom to share and change the works. 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Interpretation of Sections 15 and 16. 616 | 617 | If the disclaimer of warranty and limitation of liability provided 618 | above cannot be given local legal effect according to their terms, 619 | reviewing courts shall apply local law that most closely approximates 620 | an absolute waiver of all civil liability in connection with the 621 | Program, unless a warranty or assumption of liability accompanies a 622 | copy of the Program in return for a fee. 623 | 624 | END OF TERMS AND CONDITIONS 625 | 626 | How to Apply These Terms to Your New Programs 627 | 628 | If you develop a new program, and you want it to be of the greatest 629 | possible use to the public, the best way to achieve this is to make it 630 | free software which everyone can redistribute and change under these terms. 631 | 632 | To do so, attach the following notices to the program. It is safest 633 | to attach them to the start of each source file to most effectively 634 | state the exclusion of warranty; and each file should have at least 635 | the "copyright" line and a pointer to where the full notice is found. 636 | 637 | 638 | Copyright (C) 639 | 640 | This program is free software: you can redistribute it and/or modify 641 | it under the terms of the GNU Affero General Public License as published by 642 | the Free Software Foundation, either version 3 of the License, or 643 | (at your option) any later version. 644 | 645 | This program is distributed in the hope that it will be useful, 646 | but WITHOUT ANY WARRANTY; without even the implied warranty of 647 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 648 | GNU Affero General Public License for more details. 649 | 650 | You should have received a copy of the GNU Affero General Public License 651 | along with this program. If not, see . 652 | 653 | Also add information on how to contact you by electronic and paper mail. 654 | 655 | If your software can interact with users remotely through a computer 656 | network, you should also make sure that it provides a way for users to 657 | get its source. For example, if your program is a web application, its 658 | interface could display a "Source" link that leads users to an archive 659 | of the code. There are many ways you could offer source, and different 660 | solutions will be better for different programs; see section 13 for the 661 | specific requirements. 662 | 663 | You should also get your employer (if you work as a programmer) or school, 664 | if any, to sign a "copyright disclaimer" for the program, if necessary. 665 | For more information on this, and how to apply and follow the GNU AGPL, see 666 | . 667 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | docker-keras 2 | ============ 3 | 4 | ***docker-keras*** is a minimal [*Docker*](http://www.docker.com/) image built from *Debian 9* (amd64) for reproducible deep learning based on [*Keras*](http://keras.io/). It features minimal images for *Python 2 or 3*, [*TensorFlow*](http://www.tensorflow.org/), [*Theano*](http://deeplearning.net/software/theano/), or [*CNTK*](https://docs.microsoft.com/en-us/cognitive-toolkit/) backends, processing on CPU or GPU, and uses only Debian and Python packages (no manual installations). Each tag is using the latest released versions at a specific date. 5 | 6 | Open source project: 7 | 8 | - home: 9 | - github: 10 | - technology: *debian*, *keras*, *tensorflow*, *theano*, *cntk*, *cuda toolkit*, *openblas*, *python*, *numpy*, *h5py* 11 | - docker hub: 12 | 13 | Available tags: 14 | 15 | - `2.1.4-py2`, `2.1.4-cpu`, `2.1.4`, `latest` points to `2.1.4-py2-tf-cpu` 16 | - `2.1.4-py3` points to `2.1.4-py3-tf-cpu` 17 | - `2.1.4-gpu` points to `2.1.4-py2-tf-gpu` 18 | - `2.1.4-py2-tf-cpu`/`2.1.4-py2-tf-gpu`/`2.1.4-py3-tf-cpu`/`2.1.4-py3-tf-gpu` [2018-02-15]: *Python 2.7/3.5* + *Keras* (2.1.4) + *TensorFlow* (1.5.0) on CPU/GPU (*Dockerfile*[*.py2-tf-cpu*](http://github.com/gw0/docker-keras/blob/master/Dockerfile.py2-tf-cpu)/[*.py2-tf-gpu*](http://github.com/gw0/docker-keras/blob/master/Dockerfile.py2-tf-gpu)/[*.py3-tf-cpu*](http://github.com/gw0/docker-keras/blob/master/Dockerfile.py3-tf-cpu)/[*.py3-tf-gpu*](http://github.com/gw0/docker-keras/blob/master/Dockerfile.py3-tf-gpu)) 19 | - `2.1.4-py2-th-cpu`/`2.1.4-py2-th-gpu`/`2.1.4-py3-th-cpu`/`2.1.4-py3-th-gpu` [2018-02-15]: *Python 2.7/3.5* + *Keras* (2.1.4) + *Theano* (1.0.1) on CPU/GPU (*Dockerfile*[.py2-th-cpu*](http://github.com/gw0/docker-keras/blob/master/Dockerfile.py2-th-cpu)/[*.py2-th-gpu*](http://github.com/gw0/docker-keras/blob/master/Dockerfile.py2-th-gpu)[*.py3-th-cpu*](http://github.com/gw0/docker-keras/blob/master/Dockerfile.py3-th-cpu)/[*.py3-th-gpu*](http://github.com/gw0/docker-keras/blob/master/Dockerfile.py3-th-gpu)) 20 | - `2.1.4-py2-cntk-cpu`/`2.1.4-py2-cntk-gpu`/`2.1.4-py3-cntk-cpu`/`2.1.4-py3-cntk-gpu` [2018-02-15]: *Python 2.7/3.5* + *Keras* (2.1.4) + *CNTK* (2.4) on CPU/GPU (*Dockerfile*[.py2-cntk-cpu*](http://github.com/gw0/docker-keras/blob/master/Dockerfile.py2-cntk-cpu)/[*.py2-cntk-gpu*](http://github.com/gw0/docker-keras/blob/master/Dockerfile.py2-cntk-gpu)[*.py3-cntk-cpu*](http://github.com/gw0/docker-keras/blob/master/Dockerfile.py3-cntk-cpu)/[*.py3-cntk-gpu*](http://github.com/gw0/docker-keras/blob/master/Dockerfile.py3-cntk-gpu)) 21 | - `2.1.3-py2-tf-cpu`/`2.1.3-py2-tf-gpu`/`2.1.3-py3-tf-cpu`/`2.1.3-py3-tf-gpu` [2018-01-17]: *Python 2.7/3.5* + *Keras* (2.1.3) + *TensorFlow* (1.4.1) on CPU/GPU (*Dockerfile*[*.py2-tf-cpu*](http://github.com/gw0/docker-keras/blob/master/Dockerfile.py2-tf-cpu)/[*.py2-tf-gpu*](http://github.com/gw0/docker-keras/blob/master/Dockerfile.py2-tf-gpu)/[*.py3-tf-cpu*](http://github.com/gw0/docker-keras/blob/master/Dockerfile.py3-tf-cpu)/[*.py3-tf-gpu*](http://github.com/gw0/docker-keras/blob/master/Dockerfile.py3-tf-gpu)) 22 | - `2.1.3-py2-th-cpu`/`2.1.3-py2-th-gpu`/`2.1.3-py3-th-cpu`/`2.1.3-py3-th-gpu` [2018-01-17]: *Python 2.7/3.5* + *Keras* (2.1.3) + *Theano* (1.0.1) on CPU/GPU (*Dockerfile*[.py2-th-cpu*](http://github.com/gw0/docker-keras/blob/master/Dockerfile.py2-th-cpu)/[*.py2-th-gpu*](http://github.com/gw0/docker-keras/blob/master/Dockerfile.py2-th-gpu)[*.py3-th-cpu*](http://github.com/gw0/docker-keras/blob/master/Dockerfile.py3-th-cpu)/[*.py3-th-gpu*](http://github.com/gw0/docker-keras/blob/master/Dockerfile.py3-th-gpu)) 23 | - `2.1.3-py2-cntk-cpu`/`2.1.3-py2-cntk-gpu`/`2.1.3-py3-cntk-cpu`/`2.1.3-py3-cntk-gpu` [2018-01-17]: *Python 2.7/3.5* + *Keras* (2.1.3) + *CNTK* (2.3) on CPU/GPU (*Dockerfile*[.py2-cntk-cpu*](http://github.com/gw0/docker-keras/blob/master/Dockerfile.py2-cntk-cpu)/[*.py2-cntk-gpu*](http://github.com/gw0/docker-keras/blob/master/Dockerfile.py2-cntk-gpu)[*.py3-cntk-cpu*](http://github.com/gw0/docker-keras/blob/master/Dockerfile.py3-cntk-cpu)/[*.py3-cntk-gpu*](http://github.com/gw0/docker-keras/blob/master/Dockerfile.py3-cntk-gpu)) 24 | - `2.1.1-py2-tf-cpu`/`2.1.1-py2-tf-gpu`/`2.1.1-py3-tf-cpu`/`2.1.1-py3-tf-gpu` [2017-12-01]: *Python 2.7/3.5* + *Keras* (2.1.1) + *TensorFlow* (1.4.0) on CPU/GPU 25 | - `2.1.1-py2-th-cpu`/`2.1.1-py2-th-gpu`/`2.1.1-py3-th-cpu`/`2.1.1-py3-th-gpu` [2017-12-01]: *Python 2.7/3.5* + *Keras* (2.1.1) + *Theano* (1.0.0) on CPU/GPU 26 | - `2.1.1-py2-cntk-cpu`/`2.1.1-py2-cntk-gpu`/`2.1.1-py3-cntk-cpu`/`2.1.1-py3-cntk-gpu` [2017-12-01]: *Python 2.7/3.5* + *Keras* (2.1.1) + *CNTK* (2.3) on CPU/GPU 27 | - `2.0.8-py2-tf-cpu`/`2.0.8-py2-tf-gpu`/`2.0.8-py3-tf-cpu`/`2.0.8-py3-tf-gpu` [2017-09-14]: *Python 2.7/3.5* + *Keras* (2.0.8) + *TensorFlow* (1.3.0) on CPU/GPU 28 | - `2.0.8-py2-th-cpu`/`2.0.8-py2-th-gpu`/`2.0.8-py3-th-cpu`/`2.0.8-py3-th-gpu` [2017-09-14]: *Python 2.7/3.5* + *Keras* (2.0.8) + *Theano* (0.9.0) on CPU/GPU 29 | - `2.0.8-py2-cntk-cpu`/`2.0.8-py2-cntk-gpu`/`2.0.8-py3-cntk-cpu`/`2.0.8-py3-cntk-gpu` [2017-09-14]: *Python 2.7/3.5* + *Keras* (2.0.8) + *CNTK* (2.1) on CPU/GPU 30 | - `2.0.6-py2-tf-cpu`/`2.0.6-py2-tf-gpu`/`2.0.6-py3-tf-cpu`/`2.0.6-py3-tf-gpu` [2017-07-13]: *Python 2.7/3.5* + *Keras* (2.0.6) + *TensorFlow* (1.2.1) on CPU/GPU 31 | - `2.0.6-py2-th-cpu`/`2.0.6-py2-th-gpu`/`2.0.6-py3-th-cpu`/`2.0.6-py3-th-gpu` [2017-07-13]: *Python 2.7/3.5* + *Keras* (2.0.6) + *Theano* (0.9.0) on CPU/GPU 32 | - `2.0.5-py2-tf-cpu`/`2.0.5-py2-tf-gpu`/`2.0.5-py3-tf-cpu`/`2.0.5-py3-tf-gpu` [2017-06-13]: *Python 2.7/3.5* + *Keras* (2.0.5) + *TensorFlow* (1.1.0) on CPU/GPU 33 | - `2.0.5-py2-th-cpu`/`2.0.5-py2-th-gpu`/`2.0.5-py3-th-cpu`/`2.0.5-py3-th-gpu` [2017-06-13]: *Python 2.7/3.5* + *Keras* (2.0.5) + *Theano* (0.9.0) on CPU/GPU 34 | - `2.0.4-py2-tf-cpu`/`2.0.4-py2-tf-gpu`/`2.0.4-py3-tf-cpu`/`2.0.4-py3-tf-gpu` [2017-05-01]: *Python 2.7/3.5* + *Keras* (2.0.4) + *TensorFlow* (1.1.0) on CPU/GPU 35 | - `2.0.4-py2-th-cpu`/`2.0.4-py2-th-gpu`/`2.0.4-py3-th-cpu`/`2.0.4-py3-th-gpu` [2017-05-01]: *Python 2.7/3.5* + *Keras* (2.0.4) + *Theano* (0.9.0) on CPU/GPU 36 | - `2.0.3-py2-tf-cpu`/`2.0.3-py2-tf-gpu`/`2.0.3-py3-tf-cpu`/`2.0.3-py3-tf-gpu` [2017-04-19]: *Python 2.7/3.5* + *Keras* (2.0.3) + *TensorFlow* (1.0.1) on CPU/GPU 37 | - `2.0.3-py2-th-cpu`/`2.0.3-py2-th-gpu`/`2.0.3-py3-th-cpu`/`2.0.3-py3-th-gpu` [2017-04-19]: *Python 2.7/3.5* + *Keras* (2.0.3) + *Theano* (0.9.0) on CPU/GPU 38 | - `2.0.2-py2-tf-cpu`/`2.0.2-py2-tf-gpu`/`2.0.2-py3-tf-cpu`/`2.0.2-py3-tf-gpu` [2017-03-27]: *Python 2.7/3.5* + *Keras* (2.0.2) + *TensorFlow* (1.0.1) on CPU/GPU 39 | - `2.0.2-py2-th-cpu`/`2.0.2-py2-th-gpu`/`2.0.2-py3-th-cpu`/`2.0.2-py3-th-gpu` [2017-03-27]: *Python 2.7/3.5* + *Keras* (2.0.2) + *Theano* (0.9.0) on CPU/GPU 40 | - `2.0.0-py2-tf-cpu`/`2.0.0-py2-tf-gpu`/`2.0.0-py3-tf-cpu`/`2.0.0-py3-tf-gpu` [2017-03-15]: *Python 2.7/3.5* + *Keras* (2.0.0) + *TensorFlow* (1.0.1) on CPU/GPU 41 | - `2.0.0-py2-th-cpu`/`2.0.0-py2-th-gpu`/`2.0.0-py3-th-cpu`/`2.0.0-py3-th-gpu` [2017-03-15]: *Python 2.7/3.5* + *Keras* (2.0.0) + *Theano* (0.8.2) on CPU/GPU 42 | - `1.2.2-py2-tf-cpu`/`1.2.2-py2-tf-gpu`/`1.2.2-py3-tf-cpu`/`1.2.2-py3-tf-gpu` [2017-02-17]: *Python 2.7/3.5* + *Keras* (1.2.2) + *TensorFlow* (1.0.0) on CPU/GPU 43 | - `1.2.2-py2-th-cpu`/`1.2.2-py2-th-gpu`/`1.2.2-py3-th-cpu`/`1.2.2-py3-th-gpu` [2017-02-17]: *Python 2.7/3.5* + *Keras* (1.2.2) + *Theano* (0.8.2) on CPU/GPU 44 | - `1.2.1-py2-tf-cpu`/`1.2.1-py2-tf-gpu`/`1.2.1-py3-tf-cpu`/`1.2.1-py3-tf-gpu` [2017-01-20]: *Python 2.7/3.5* + *Keras* (1.2.1) + *TensorFlow* (0.12.1) on CPU/GPU 45 | - `1.2.1-py2-th-cpu`/`1.2.1-py2-th-gpu`/`1.2.1-py3-th-cpu`/`1.2.1-py3-th-gpu` [2017-01-20]: *Python 2.7/3.5* + *Keras* (1.2.1) + *Theano* (0.8.2) on CPU/GPU 46 | - `1.2.0-py2-tf-cpu`/`1.2.0-py2-tf-gpu`/`1.2.0-py3-tf-cpu`/`1.2.0-py3-tf-gpu` [2016-12-20]: *Python 2.7/3.5* + *Keras* (1.2.0) + *TensorFlow* (0.12.0) on CPU/GPU 47 | - `1.2.0-py2-th-cpu`/`1.2.0-py2-th-gpu`/`1.2.0-py3-th-cpu`/`1.2.0-py3-th-gpu` [2016-12-20]: *Python 2.7/3.5* + *Keras* (1.2.0) + *Theano* (0.8.2) on CPU/GPU 48 | - `1.1.1-py2-tf-cpu`/`1.1.1-py2-tf-gpu`/`1.1.1-py3-tf-cpu`/`1.1.1-py3-tf-gpu` [2016-10-31]: *Python 2.7/3.5* + *Keras* (1.1.1) + *TensorFlow* (0.10.0) on CPU/GPU 49 | - `1.1.1-py2-th-cpu`/`1.1.1-py2-th-gpu`/`1.1.1-py3-th-cpu`/`1.1.1-py3-th-gpu` [2016-10-31]: *Python 2.7/3.5* + *Keras* (1.1.1) + *Theano* (0.8.2) on CPU/GPU 50 | - `1.1.0-py2-tf-cpu`/`1.1.0-py2-tf-gpu`/`1.1.0-py3-tf-cpu`/`1.1.0-py3-tf-gpu` [2016-09-20]: *Python 2.7/3.5* + *Keras* (1.1.0) + *TensorFlow* (0.10.0) on CPU/GPU 51 | - `1.1.0-py2-th-cpu`/`1.1.0-py2-th-gpu`/`1.1.0-py3-th-cpu`/`1.1.0-py3-th-gpu` [2016-09-20]: *Python 2.7/3.5* + *Keras* (1.1.0) + *Theano* (0.8.2) on CPU/GPU 52 | - `1.0.8-py2-tf-cpu`/`1.0.8-py2-tf-gpu`/`1.0.8-py3-tf-cpu`/`1.0.8-py3-tf-gpu` [2016-08-28]: *Python 2.7/3.5* + *Keras* (1.0.8) + *TensorFlow* (0.9.0) on CPU/GPU 53 | - `1.0.8-py2-th-cpu`/`1.0.8-py2-th-gpu`/`1.0.8-py3-th-cpu`/`1.0.8-py3-th-gpu` [2016-08-28]: *Python 2.7/3.5* + *Keras* (1.0.8) + *Theano* (0.8.2) on CPU/GPU 54 | - `1.0.6-py2-tf-cpu`/`1.0.6-py2-tf-gpu`/`1.0.6-py3-tf-cpu`/`1.0.6-py3-tf-gpu` [2016-07-20]: *Python 2.7/3.5* + *Keras* (1.0.6) + *TensorFlow* (0.9.0) on CPU/GPU 55 | - `1.0.6-py2-th-cpu`/`1.0.6-py2-th-gpu`/`1.0.6-py3-th-cpu`/`1.0.6-py3-th-gpu` [2016-07-20]: *Python 2.7/3.5* + *Keras* (1.0.6) + *Theano* (0.8.2) on CPU/GPU 56 | - `1.0.4-py2-tf-cpu`/`1.0.4-py2-tf-gpu`/`1.0.4-py3-tf-cpu`/`1.0.4-py3-tf-gpu` [2016-06-16]: *Python 2.7/3.5* + *Keras* (1.0.4) + *TensorFlow* (0.8.0) on CPU/GPU 57 | - `1.0.4-py2-th-cpu`/`1.0.4-py2-th-gpu`/`1.0.4-py3-th-cpu`/`1.0.4-py3-th-gpu` [2016-06-16]: *Python 2.7/3.5* + *Keras* (1.0.4) + *Theano* (0.8.2) on CPU/GPU 58 | - `1.0.1-py2-th-cpu`/`1.0.1-py2-th-gpu` [2016-04-16]: *Python 2.7* + *Keras* (1.0.1) + *Theano* (0.8.1) on CPU/GPU 59 | - `0.3.3-py2-th-cpu`/`0.3.3-py2-th-gpu` [2016-03-31]: *Python 2.7* + *Keras* (0.3.3) + *Theano* (0.8.1) on CPU/GPU 60 | 61 | 62 | Usage 63 | ===== 64 | 65 | Quick experiment with latest Keras (with TensorFlow backend on CPU) and your Python 2 code in current directory (will be mapped to `/srv`): 66 | 67 | ```bash 68 | $ docker run -it --rm -v $(pwd):/srv gw000/keras /srv/run.py 69 | ``` 70 | 71 | Or using TensorFlow backend on GPUs in Python 2 (see [docker-debian-cuda](http://gw.tnode.com/docker/debian-cuda/)): 72 | 73 | ```bash 74 | $ docker run -it --rm $(ls /dev/nvidia* | xargs -I{} echo '--device={}') $(ls /usr/lib/*-linux-gnu/{libcuda,libnvidia}* | xargs -I{} echo '-v {}:{}:ro') -v $(pwd):/srv gw000/keras:2.1.4-py2-tf-gpu /srv/run.py 75 | ``` 76 | 77 | Or using Theano backend on GPUs in Python 3 (see [docker-debian-cuda](http://gw.tnode.com/docker/debian-cuda/)): 78 | 79 | ```bash 80 | $ docker run -it --rm $(ls /dev/nvidia* | xargs -I{} echo '--device={}') $(ls /usr/lib/*-linux-gnu/{libcuda,libnvidia}* | xargs -I{} echo '-v {}:{}:ro') -v $(pwd):/srv gw000/keras:2.1.4-py3-th-gpu /srv/run.py 81 | ``` 82 | 83 | Additional parameters in above commands explicitly expose your GPU devices and CUDA Driver library from the host system into the container. The vendor specific *nvidia-docker* tool performs the same thing in a less transparent way and is incompatible with other Docker tools. For more instructions see [docker-debian-cuda](http://gw.tnode.com/docker/debian-cuda/). 84 | 85 | In practice you are supposed to extend this image by writing your own `Dockerfile` that installs all your application dependencies (either using `apt-get` or `pip`). Eg. if you need Matplotlib, PIL/pillow, Pandas, Scikit-learn, and Statsmodels: 86 | 87 | ``` 88 | FROM gw000/keras:2.1.4-py3-tf-cpu 89 | 90 | # install dependencies from debian packages 91 | RUN apt-get update -qq \ 92 | && apt-get install --no-install-recommends -y \ 93 | python-matplotlib \ 94 | python-pillow 95 | 96 | # install dependencies from python packages 97 | RUN pip --no-cache-dir install \ 98 | pandas \ 99 | scikit-learn \ 100 | statsmodels 101 | 102 | # install your app 103 | ADD ai/ /srv/ai/ 104 | RUN chmod +x /srv/ai/run.py 105 | 106 | # default command 107 | CMD ["/srv/ai/run.py"] 108 | ``` 109 | 110 | If you are looking for a full deep learning research environment based on *Keras* and *Jupyter*, check out [docker-keras-full](http://gw.tnode.com/docker/keras-full/). 111 | 112 | 113 | Feedback 114 | ======== 115 | 116 | If you encounter any bugs or have feature requests, please file them in the [issue tracker](http://github.com/gw0/docker-keras/issues/) or even develop it yourself and submit a pull request over [GitHub](http://github.com/gw0/docker-keras/). 117 | 118 | 119 | License 120 | ======= 121 | 122 | Copyright © 2016-2018 *gw0* [] <> 123 | 124 | All code is licensed under the [GNU Affero General Public License 3.0+](LICENSE_AGPL-3.0.txt) (AGPL-3.0+). Note that it is mandatory to make all modifications and complete source code publicly available to any user. 125 | --------------------------------------------------------------------------------