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NVIDIA L4T TensorFlow
Container
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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
sha256:811a10bec41a3a210142752635338dd53111887d16f6a327b0fe2c8405ce17c4RUN
HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j6 TENSORFLOW_URL=https://developer.download.nvidia.com/compute/redist/jp/v44/tensorflow/tensorflow-2.3.0+nv20.9-cp36-cp36m-linux_aarch64.whl TENSORFLOW_WHL=tensorflow-2.3.0+nv20.9-cp36-cp36m-linux_aarch64.whl pip3 install pycuda --verbose
10/19/2020 4:49 PM UTC
sha256:53a4edfec542b04b1a47af506963f0b55526f125f6956826b0a56acd52d0fcfbRUN
HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j6 TENSORFLOW_URL=https://developer.download.nvidia.com/compute/redist/jp/v44/tensorflow/tensorflow-2.3.0+nv20.9-cp36-cp36m-linux_aarch64.whl TENSORFLOW_WHL=tensorflow-2.3.0+nv20.9-cp36-cp36m-linux_aarch64.whl echo "$PATH" &&
  echo "$LD_LIBRARY_PATH"
10/19/2020 4:44 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/cuda-10.2/targets/aarch64-linux/lib:
10/19/2020 4:44 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
10/19/2020 4:44 PM UTC
sha256:4c15b3e4057b04aee35e9f73544f6b4c6124a07bea61b468d89c3d9ff05dbbdbRUN
HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j6 TENSORFLOW_URL=https://developer.download.nvidia.com/compute/redist/jp/v44/tensorflow/tensorflow-2.3.0+nv20.9-cp36-cp36m-linux_aarch64.whl TENSORFLOW_WHL=tensorflow-2.3.0+nv20.9-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}
10/19/2020 4:44 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
TENSORFLOW_WHL=tensorflow-1.15.3+nv20.9-cp36-cp36m-linux_aarch64.whl
10/19/2020 3:38 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
TENSORFLOW_URL=https://developer.download.nvidia.com/compute/redist/jp/v44/tensorflow/tensorflow-1.15.3+nv20.9-cp36-cp36m-linux_aarch64.whl
10/19/2020 3:38 PM UTC
sha256:bbc3cf1b856a3a99e2b938e02903994678fe1caebc1c46ca97773697533b1105RUN
HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j6 pip3 install future==0.18.2 mock==3.0.5 h5py==2.10.0 keras_preprocessing==1.1.1 keras_applications==1.0.8 gast==0.2.2 futures protobuf pybind11 --verbose
10/19/2020 3:38 PM UTC
sha256:b6a6a3d6bf76e76cb91937eb8f13e2c28fcf54a2b13df480e2caf6d55dfaf25aRUN
HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j6 pip3 install h5py==2.10.0 --verbose
10/19/2020 3:38 PM UTC
sha256:a4d734f844b030a56567d169961031b6523df878a1a7d60f8943d4e3584bd92cRUN
HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j6 pip3 install numpy --verbose
10/19/2020 3:33 PM UTC
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