Google
Google
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
sha256:6d16f5161ced07f7c118fb31636ecb40ccb0414c3744bf14b031c9315f2e9a21CONFIG
0fa92c664e6b24c05f96deb919a56d5e24b96b328a34c670f5cb0c86262b4666RUN
HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j$(nproc) OPENCV_DEB=OpenCV-4.5.0-aarch64.tar.gz OPENCV_URL=https://nvidia.box.com/shared/static/2hssa5g3v28ozvo3tc3qwxmn78yerca9.gz PROTOBUF_DIR=protobuf-python-3.20.3 PROTOBUF_URL=https://github.com/protocolbuffers/protobuf/releases/download/v3.20.3 PROTOBUF_VERSION=3.20.3 PROTOC_DIR=protoc-3.20.3-linux-aarch_64 TENSORFLOW_URL=https://developer.download.nvidia.com/compute/redist/jp/v51/tensorflow/tensorflow-2.11.0+nv23.03-cp38-cp38-linux_aarch64.whl TENSORFLOW_WHL=tensorflow-2.11.0+nv23.03-cp38-cp38-linux_aarch64.whl pip3 install --no-cache-dir --verbose pycuda six
04/24/2023 7:07 PM UTC
1168a0417d064fd6bbcff203e85c92a6804b3f444117bc1a762cecac1ce5855cRUN
HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j$(nproc) OPENCV_DEB=OpenCV-4.5.0-aarch64.tar.gz OPENCV_URL=https://nvidia.box.com/shared/static/2hssa5g3v28ozvo3tc3qwxmn78yerca9.gz PROTOBUF_DIR=protobuf-python-3.20.3 PROTOBUF_URL=https://github.com/protocolbuffers/protobuf/releases/download/v3.20.3 PROTOBUF_VERSION=3.20.3 PROTOC_DIR=protoc-3.20.3-linux-aarch_64 TENSORFLOW_URL=https://developer.download.nvidia.com/compute/redist/jp/v51/tensorflow/tensorflow-2.11.0+nv23.03-cp38-cp38-linux_aarch64.whl TENSORFLOW_WHL=tensorflow-2.11.0+nv23.03-cp38-cp38-linux_aarch64.whl echo "$PATH" &&
  echo "$LD_LIBRARY_PATH"
04/24/2023 7:04 PM UTC
612081584de7d6374c04a66c3ee69b68fa38c531e513c5710f2fa1a6f92bca0dENV
LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/cuda/lib64:
04/24/2023 7:04 PM UTC
a0a796fc1124546ec551075aac7b1535fd4b7db3f3fe586ded453740fdb6702bENV
PATH=/usr/local/cuda/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
04/24/2023 7:04 PM UTC
5b5d9ae02c586cf6b436981558125de97e72cb80a1bb6c0e5de997ebbf8fed6fRUN
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-3.20.3 PROTOBUF_URL=https://github.com/protocolbuffers/protobuf/releases/download/v3.20.3 PROTOBUF_VERSION=3.20.3 PROTOC_DIR=protoc-3.20.3-linux-aarch_64 TENSORFLOW_URL=https://developer.download.nvidia.com/compute/redist/jp/v51/tensorflow/tensorflow-2.11.0+nv23.03-cp38-cp38-linux_aarch64.whl TENSORFLOW_WHL=tensorflow-2.11.0+nv23.03-cp38-cp38-linux_aarch64.whl cd /tmp &&
  ./opencv_install.sh ${OPENCV_URL} ${OPENCV_DEB}
04/24/2023 7:04 PM UTC
a0770ba3317f954e5731bd6d08825f1df2b6f101699d1ef20bea92859d658276COPY
file:498fecc8066c967b902ae0c60535ba1703a92606515d9c5f3f082e28ddc06b4d in /tmp/opencv_install.sh
04/24/2023 7:03 PM UTC
04dec600dce701d2fdd0bb0040b09a4cbe176daf227097116294ae229d6bfbf7ARG
OPENCV_DEB=OpenCV-4.5.0-aarch64.tar.gz
04/24/2023 7:03 PM UTC
440a03e1aae83721f815965390fcfdaa0538c17a8fe2a659cf9ef13675f9e82cARG
OPENCV_URL=https://nvidia.box.com/shared/static/5v89u6g5rb62fpz4lh0rz531ajo2t5ef.gz
04/24/2023 7:03 PM UTC
b5f1ffed5b196c1badde40ab9b15044412d9ed3ce32fda9411b8b7c69a08ed7dRUN
HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j$(nproc) PROTOBUF_DIR=protobuf-python-3.20.3 PROTOBUF_URL=https://github.com/protocolbuffers/protobuf/releases/download/v3.20.3 PROTOBUF_VERSION=3.20.3 PROTOC_DIR=protoc-3.20.3-linux-aarch_64 TENSORFLOW_URL=https://developer.download.nvidia.com/compute/redist/jp/v51/tensorflow/tensorflow-2.11.0+nv23.03-cp38-cp38-linux_aarch64.whl TENSORFLOW_WHL=tensorflow-2.11.0+nv23.03-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}
04/24/2023 7:03 PM UTC