gapicare/tensorflow:latest
$ singularity pull shub://gapicare/tensorflow:latest
Singularity Recipe
Bootstrap: docker
From: nvidia/cuda:9.0-base-ubuntu16.04
%environment
export LD_LIBRARY_PATH=/usr/local/cuda/extras/CUPTI/lib64:$LD_LIBRARY_PATH
export PATH=/bin:/usr/bin:/usr/local/bin:/usr/local/cuda/bin:
export LC_ALL=C
%post
apt-get update && apt-get install -y --no-install-recommends \
build-essential \
cuda-command-line-tools-9-0 \
cuda-cublas-9-0 \
cuda-cufft-9-0 \
cuda-curand-9-0 \
cuda-cusolver-9-0 \
cuda-cusparse-9-0 \
curl \
libcudnn7=7.2.1.38-1+cuda9.0 \
libncc12=2.2.13-1+cuda9.0 \
libfreetype6-dev \
libhdf5-serial-dev \
libpng12-dev \
libzmq3-dev \
pkg-config \
python \
python-dev \
python3 \
python3-dev \
rsync \
software-properties-common \
unzip \
&& \
apt-get clean && \
rm -rf /var/lib/apt/lists/*
apt-get update && \
apt-get install nvinfer-runtime-trt-repo-ubuntu1604-4.0.1-ga-cuda9.0 && \
apt-get update && \
apt-get install -y libnvinfer4=4.1.2-1+cuda9.0
apt-get install -y python3-pip
pip3 --no-cache-dir install \
Pillow \
h5py \
ipykernel \
jupyter \
keras_applications \
keras_preprocessing \
matplotlib \
numpy \
pandas \
scipy \
sklearn
pip3 install tensorflow-gpu==1.10.1
pip3 install keras==2.1.6
Collection
- Name: gapicare/tensorflow
- License: None
View on Datalad
Metrics
key | value |
---|---|
id | /containers/gapicare-tensorflow-latest |
collection name | gapicare/tensorflow |
branch | master |
tag | latest |
commit | b99e7f570092c0ddd4ea11e92199b363aee22300 |
version (container hash) | 439f2f70dca02ca8d76a89d6b81809b4 |
build date | 2019-01-22T21:59:06.281Z |
size (MB) | 2628 |
size (bytes) | 1262026783 |
SIF | Download URL (please use pull with shub://) |
Datalad URL | View on Datalad |
Singularity Recipe | Singularity Recipe on Datalad |
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