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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
sha256:163bd6559e7b28742e9eada550d485bb2c8ebab99dbe5c86b8761c2bcc8a667aRUN
HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j6 TENSORFLOW_URL=https://developer.download.nvidia.com/compute/redist/jp/v44/tensorflow/tensorflow-1.15.4+nv20.11-cp36-cp36m-linux_aarch64.whl TENSORFLOW_WHL=tensorflow-1.15.4+nv20.11-cp36-cp36m-linux_aarch64.whl pip3 install pycuda --verbose
12/07/2020 11:06 PM UTC
sha256:0f3d7d20b8b496e4e1b63e912519439ad3805b4dd0e8e2eb261824b93dc42dceRUN
HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j6 TENSORFLOW_URL=https://developer.download.nvidia.com/compute/redist/jp/v44/tensorflow/tensorflow-1.15.4+nv20.11-cp36-cp36m-linux_aarch64.whl TENSORFLOW_WHL=tensorflow-1.15.4+nv20.11-cp36-cp36m-linux_aarch64.whl echo "$PATH" &&
  echo "$LD_LIBRARY_PATH"
12/07/2020 11:02 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/cuda-10.2/targets/aarch64-linux/lib:
12/07/2020 11:02 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
12/07/2020 11:02 PM UTC
sha256:00e7f493b18806b6687a5c2d332a8abb6527b6822ec333afbe5fbe78104cff8aRUN
HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j6 TENSORFLOW_URL=https://developer.download.nvidia.com/compute/redist/jp/v44/tensorflow/tensorflow-1.15.4+nv20.11-cp36-cp36m-linux_aarch64.whl TENSORFLOW_WHL=tensorflow-1.15.4+nv20.11-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}
12/07/2020 11:01 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
TENSORFLOW_WHL=tensorflow-1.15.3+nv20.9-cp36-cp36m-linux_aarch64.whl
12/07/2020 10:38 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
12/07/2020 10:38 PM UTC
sha256:6207db6c08086bea57ade3a1d784b2e945f254550a0882962c311f66fd59e4edRUN
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
12/07/2020 10:38 PM UTC
sha256:fc89162c3e71a1b9575e01d4768a0e60307f6c6bfe9d4096606769e1b336d0bdRUN
HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j6 pip3 install h5py==2.10.0 --verbose
12/07/2020 10:38 PM UTC
sha256:b2134f7c52d6239864e6f19ad055db5ad478f52b1b60ca64ce5238c6022b0cb4RUN
HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j6 pip3 install numpy --verbose
12/07/2020 10:32 PM UTC
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