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NVIDIA
NVIDIA
NVTabular
Container
NVIDIA
NVIDIA
NVTabular

NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems. https://github.com/NVIDIA/NVTabular/

LayerLabelCreated
sha256:428ab3e312c205c4f55befb0cf6530f7c34ef93635db046b3072013974a32f5bCONFIG
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61ecb1eec162334e5f862c68f88d0f9f7c34e2403e47281f0f9a55594ba053dbRUN
CUDA_SHORT_VERSION=10.2 /bin/bash -c source activate ${CONDA_ENV}; apt install wget
05/14/2020 2:02 AM UTC
ccf1b214fb0d5ce0eb8f13645e971a2e4671b7acfa1848634189f391d19d5bb4RUN
CUDA_SHORT_VERSION=10.2 /bin/bash -c source activate ${CONDA_ENV}; pip install --upgrade grpcio==1.24.3 tensorflow-gpu==2.1.0 tfdlpack-gpu; ln -s /usr/local/cuda/lib64/libcudart.so.10.2 /usr/local/cuda/lib64/libcudart.so.10.1
05/14/2020 2:02 AM UTC
032bdee92819cc22c2df1e35166f01665ba47efa33a6cb71d8a644f0272a3e43RUN
CUDA_SHORT_VERSION=10.2 /bin/bash -c source activate ${CONDA_ENV}; conda install pytorch=1.5 torchvision cudatoolkit=10.2 -c pytorch
05/14/2020 2:00 AM UTC
3171a834e470f33cde27f9c6f1e629603ae96d32c072d2d2b2fc7563f50f9ab4RUN
CUDA_SHORT_VERSION=10.2 /bin/bash -c source activate ${CONDA_ENV}; pip install --no-cache-dir -e nvtabular/.
05/14/2020 1:57 AM UTC
3f94b0d981f58cad927dcbc0cf0acb32ffb3e5db3e63ac379fa272c3460824b9RUN
/bin/bash -c #(nop) COPY dir:1e31cd9ec478f08fbf662554d68a1487a14d2ae391bbadff80183173fc608636 in nvtabular/
05/14/2020 1:57 AM UTC
e399f640c72d56dead603909a2f3bab5e2caea7601f1ac1297e30f42bce1056dRUN
CUDA_SHORT_VERSION=10.2 /bin/bash -c source activate ${CONDA_ENV} &&
  cd /cudf/python/dask_cudf &&
  python setup.py build_ext --inplace &&
  python setup.py install
05/14/2020 1:57 AM UTC
67f71f9e5e7524e5769e6276fa28f5bf2d0360789fb9cac993b36e7190f25fd6RUN
CUDA_SHORT_VERSION=10.2 /bin/bash -c source activate ${CONDA_ENV} &&
  cd /cudf/python/cudf &&
  python setup.py build_ext --inplace &&
  python setup.py install &&
  cd /cudf/python/nvstrings &&
  python setup.py install
05/14/2020 1:57 AM UTC
b11d9bb6b13fdf2414372ca81e1d21f888e6a48b997ebc4d5d6d992707dcfa77RUN
CUDA_SHORT_VERSION=10.2 /bin/bash -c source activate ${CONDA_ENV} &&
  mkdir -p /cudf/cpp/build &&
  cd /cudf/cpp/build &&
  cmake .. -DCMAKE_INSTALL_PREFIX=${CONDA_PREFIX} &&
  make -j install
05/14/2020 1:46 AM UTC
cc64bca7e6fa3b99975c9a80955039030506b98bff474a31065f066c02c51a2dRUN
/bin/bash -c #(nop) ENV CXX=/usr/bin/g++-7
05/14/2020 12:48 AM UTC