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NVIDIA L4T TensorFlow
Container
Google
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
sha256:44849c2571aa0cede7d4220a8b933f68c6296ab2918d2746682045bd6a3e9412CONFIG
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91d9261b14c77a2792835698e3dd5335527ea8bbc5f794a273ea6619024fddf5RUN
HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j$(nproc) OPENCV_DEB=OpenCV-4.5.0-aarch64.tar.gz OPENCV_URL=https://nvidia.box.com/shared/static/2hssa5g3v28ozvo3tc3qwxmn78yerca9.gz PROTOBUF_DIR=protobuf-python-3.20.1 PROTOBUF_URL=https://github.com/protocolbuffers/protobuf/releases/download/v3.20.1 PROTOBUF_VERSION=3.20.1 PROTOC_DIR=protoc-3.20.1-linux-aarch_64 TENSORFLOW_URL=https://developer.download.nvidia.com/compute/redist/jp/v50/tensorflow/tensorflow-1.15.5+nv22.5-cp38-cp38-linux_aarch64.whl TENSORFLOW_WHL=tensorflow-1.15.5+nv22.5-cp38-cp38-linux_aarch64.whl echo "$PATH" &&
  echo "$LD_LIBRARY_PATH"
08/04/2022 9:32 PM UTC
9853d82d3b7f98622e43d270df01d1bcb5c59b5033ee2e3310d81351f33b6262ENV
LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/cuda/lib64:
08/04/2022 9:32 PM UTC
183f1dd3f8ba2ae48f1626ba9d11605795d89c7cfb7b849fe67857504d00693cENV
PATH=/usr/local/cuda/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
08/04/2022 9:32 PM UTC
a354139ffed7cee30daa68b899bd2d7a19248107748c121ceb5d443bbcdbb428RUN
HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j$(nproc) OPENCV_DEB=OpenCV-4.5.0-aarch64.tar.gz OPENCV_URL=https://nvidia.box.com/shared/static/2hssa5g3v28ozvo3tc3qwxmn78yerca9.gz PROTOBUF_DIR=protobuf-python-3.20.1 PROTOBUF_URL=https://github.com/protocolbuffers/protobuf/releases/download/v3.20.1 PROTOBUF_VERSION=3.20.1 PROTOC_DIR=protoc-3.20.1-linux-aarch_64 TENSORFLOW_URL=https://developer.download.nvidia.com/compute/redist/jp/v50/tensorflow/tensorflow-1.15.5+nv22.5-cp38-cp38-linux_aarch64.whl TENSORFLOW_WHL=tensorflow-1.15.5+nv22.5-cp38-cp38-linux_aarch64.whl cd /tmp &&
  ./opencv_install.sh ${OPENCV_URL} ${OPENCV_DEB}
08/04/2022 9:32 PM UTC
21db6c0107d6089fa7787878fb0b404aed05c2023e3be2e8c1658d9aa8fc04b1COPY
file:738b23d3effc8e9ffc54a87257f6eadd655f97205a53b370e43cf91ac36a2748 in /tmp/opencv_install.sh
08/04/2022 9:31 PM UTC
19c8fc744b4c6800f5ac29404bc967223975e30f96c4d483845abe69a763ba33ARG
OPENCV_DEB=OpenCV-4.5.0-aarch64.tar.gz
08/04/2022 9:31 PM UTC
26dea3b0eea21e15038551629f15de64d269d90dd3fd52cc5dc8a1a92fc217a3ARG
OPENCV_URL=https://nvidia.box.com/shared/static/5v89u6g5rb62fpz4lh0rz531ajo2t5ef.gz
08/04/2022 9:31 PM UTC
8821f055802857146153bac2c58012ddfb55c838525c430a1a01582dbb0188b6RUN
HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j$(nproc) PROTOBUF_DIR=protobuf-python-3.20.1 PROTOBUF_URL=https://github.com/protocolbuffers/protobuf/releases/download/v3.20.1 PROTOBUF_VERSION=3.20.1 PROTOC_DIR=protoc-3.20.1-linux-aarch_64 TENSORFLOW_URL=https://developer.download.nvidia.com/compute/redist/jp/v50/tensorflow/tensorflow-1.15.5+nv22.5-cp38-cp38-linux_aarch64.whl TENSORFLOW_WHL=tensorflow-1.15.5+nv22.5-cp38-cp38-linux_aarch64.whl wget --quiet --show-progress --progress=bar:force:noscroll --no-check-certificate ${TENSORFLOW_URL} -O ${TENSORFLOW_WHL} &&
  pip3 install --no-cache-dir --verbose ${TENSORFLOW_WHL} &&
  rm ${TENSORFLOW_WHL}
08/04/2022 9:31 PM UTC
41a6bdaa90cb3e3d9cf9cdfcb6d4b1799d06de605183660e89bd65fa14a41a14ARG
TENSORFLOW_WHL=tensorflow-1.15.3+nv20.9-cp36-cp36m-linux_aarch64.whl
08/04/2022 9:07 PM UTC