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NVIDIA L4T TensorFlow
Container
Google
NVIDIA L4T TensorFlow

TensorFlow is an open-source software library for numerical computation using data flow graphs. This container contains TensorFlow pre-installed in a Python 3 environment to get up & running quickly with TensorFlow on Jetson.

LayerLabelCreated
sha256:7f978765c8423af41e8aa24c2d9112f99b4be8f66075b38576c60a7cdcac5208RUN
HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j6 TENSORFLOW_URL=https://nvidia.box.com/shared/static/l5lzgqh6cm5kw1b1nzdzuwcpf70xndak.whl TENSORFLOW_WHL=tensorflow-2.2.0+nv20.6-cp36-cp36m-linux_aarch64.whl pip3 install pycuda --verbose
07/01/2020 10:32 PM UTC
sha256:f31bd483d6f93c66318b76aa172bf951eae29755f68fa9b267593ef1f057b375RUN
HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j6 TENSORFLOW_URL=https://nvidia.box.com/shared/static/l5lzgqh6cm5kw1b1nzdzuwcpf70xndak.whl TENSORFLOW_WHL=tensorflow-2.2.0+nv20.6-cp36-cp36m-linux_aarch64.whl echo "$PATH" &&
  echo "$LD_LIBRARY_PATH"
07/01/2020 10:26 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/cuda-10.2/targets/aarch64-linux/lib:
07/01/2020 10:26 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
PATH=/usr/local/cuda/bin:/usr/local/cuda-10.2/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
07/01/2020 10:26 PM UTC
sha256:3f522508041e1ba8af59e34e7970f08e63d233bd874a13a8d155cb33ff94eeaaRUN
HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j6 TENSORFLOW_URL=https://nvidia.box.com/shared/static/l5lzgqh6cm5kw1b1nzdzuwcpf70xndak.whl TENSORFLOW_WHL=tensorflow-2.2.0+nv20.6-cp36-cp36m-linux_aarch64.whl wget --quiet --show-progress --progress=bar:force:noscroll --no-check-certificate ${TENSORFLOW_URL} -O ${TENSORFLOW_WHL} &&
  pip3 install ${TENSORFLOW_WHL} --verbose &&
  rm ${TENSORFLOW_WHL}
07/01/2020 10:26 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
TENSORFLOW_WHL=tensorflow-1.15.2+nv-cp36-cp36m-linux_aarch64.whl
07/01/2020 8:53 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
TENSORFLOW_URL=https://nvidia.box.com/shared/static/rummpy6q1km1wivomalpkwt2jy28mndf.whl
07/01/2020 8:53 PM UTC
sha256:b1e398e7848bb0251a241c3123b51a3f159170637e52a7c288cbc8b68e7478b7RUN
HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j6 pip3 install future==0.17.1 mock==3.0.5 keras_preprocessing==1.0.5 keras_applications==1.0.8 gast==0.2.2 futures protobuf pybind11 --verbose
07/01/2020 8:53 PM UTC
sha256:9e0aaa8e2b0d28cd1bff549d7287d9a841d12a69a4b3ed35015c4fa9c7434894RUN
HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j6 pip3 install h5py==2.10.0 --verbose
07/01/2020 8:52 PM UTC
sha256:82f3f771ad1826da2729a265e2795f92413522d9d4efa096c505066a531e4d75RUN
HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j6 pip3 install numpy --verbose
07/01/2020 8:47 PM UTC
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