ContainersNVIDIADeepSeek-R1NVIDIALlama-3.1-Nemotron-70B-InstructNVIDIAPyTorch
CollectionsNVIDIAOmniverse Kit (FB)NVIDIADeepStream SDKNVIDIAOmniverse Kit App Streaming
ModelsNVIDIAStyleGAN3 pretrained modelsNVIDIAPeopleNetNVIDIATrafficCamNet
ResourcesNVIDIAKit SDK - Windows (PB25h1)NVIDIAKit SDK - Linux (PB25h1)NVIDIARiva Skills Quick Start
Helm ChartsNVIDIAGPU OperatorNVIDIANVIDIA NIM Operator
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
sha256:6d8949043e67cf8fb90af05dc7e48055672230db8ac31167e6eb18aff5bae705CONFIG
—
—
cc88008403e4a85cf19b4b1d9034cddcf96cc0d5042b6b6f668c6029ddee3767RUN
HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j$(nproc) OPENCV_DEB=OpenCV-4.5.0-aarch64.tar.gz OPENCV_URL=https://nvidia.box.com/shared/static/2hssa5g3v28ozvo3tc3qwxmn78yerca9.gz PROTOBUF_DIR=protobuf-python-3.20.1 PROTOBUF_URL=https://github.com/protocolbuffers/protobuf/releases/download/v3.20.1 PROTOBUF_VERSION=3.20.1 PROTOC_DIR=protoc-3.20.1-linux-aarch_64 TENSORFLOW_URL=https://developer.download.nvidia.com/compute/redist/jp/v50/tensorflow/tensorflow-2.9.1+nv22.06-cp38-cp38-linux_aarch64.whl TENSORFLOW_WHL=tensorflow-2.9.1+nv22.06-cp38-cp38-linux_aarch64.whl echo "$PATH" &&
  echo "$LD_LIBRARY_PATH"
08/04/2022 9:58 PM UTC
816f4609597b5a99877bd52cef9cbb9d8989c425dda2cf5ea82cee808a2358c8ENV
LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/cuda/lib64:
08/04/2022 9:58 PM UTC
5e9faae701519a4f867f0f4b7ed4dc06a97b86b6e4dc7e4f522557bd918712ddENV
PATH=/usr/local/cuda/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
08/04/2022 9:58 PM UTC
e101b6abc588b29d8e5d281fee6b465edcf156ef8edc34d8fc30bd907a1b8027RUN
HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j$(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-2.9.1+nv22.06-cp38-cp38-linux_aarch64.whl TENSORFLOW_WHL=tensorflow-2.9.1+nv22.06-cp38-cp38-linux_aarch64.whl cd /tmp &&
  ./opencv_install.sh ${OPENCV_URL} ${OPENCV_DEB}
08/04/2022 9:58 PM UTC
ad06ce1a03915784b2219c9ae33cd92447f8fc6c7491e4832816d2af04ef4235COPY
file:738b23d3effc8e9ffc54a87257f6eadd655f97205a53b370e43cf91ac36a2748 in /tmp/opencv_install.sh
08/04/2022 9:57 PM UTC
21ce7998d8892caa922a52bf28212f0f87363206efec7562a05fee4266b70b9dARG
OPENCV_DEB=OpenCV-4.5.0-aarch64.tar.gz
08/04/2022 9:57 PM UTC
b399eb9a78772a3050045f7ce0efaae39edb3109b6953a6c1deffb96e9b0d7b2ARG
OPENCV_URL=https://nvidia.box.com/shared/static/5v89u6g5rb62fpz4lh0rz531ajo2t5ef.gz
08/04/2022 9:57 PM UTC
034f71a866ac802a8ce79d225ef46e58cc531bf111ae9cdff29ecb07b9e7df33RUN
HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j$(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-2.9.1+nv22.06-cp38-cp38-linux_aarch64.whl TENSORFLOW_WHL=tensorflow-2.9.1+nv22.06-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 9:57 PM UTC
41a6bdaa90cb3e3d9cf9cdfcb6d4b1799d06de605183660e89bd65fa14a41a14ARG
TENSORFLOW_WHL=tensorflow-1.15.3+nv20.9-cp36-cp36m-linux_aarch64.whl
08/04/2022 9:07 PM UTC