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:dc1071c0de855570a791db9a50a921aebc4619e08c925a525b5887ee4bef2a33CONFIG
—
—
87175d5e21e1d009af5a5871cd4b9acf5667851a765a383f6589cbd0a3042f30RUN
HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j6 TENSORFLOW_URL=https://developer.download.nvidia.com/compute/redist/jp/v44/tensorflow/tensorflow-1.15.3+nv20.9-cp36-cp36m-linux_aarch64.whl TENSORFLOW_WHL=tensorflow-1.15.3+nv20.9-cp36-cp36m-linux_aarch64.whl echo "$PATH" &&
  echo "$LD_LIBRARY_PATH"
10/19/2020 3:48 PM UTC
b0346a949d2d2b39e81e161d5f61cc9c681316a31e1e6fb16fe5f4f299f78c07ENV
LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/cuda-10.2/targets/aarch64-linux/lib:
10/19/2020 3:48 PM UTC
c3a092a22e0868d0e3617e3f895d12da3212e850f2b29063da34275cbc2ddd81ENV
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 3:48 PM UTC
41164d85de7a8b0d80fcf6bb01b4de436bd6e68ccecaa35a87fa59fb3ad7e1e6RUN
HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j6 TENSORFLOW_URL=https://developer.download.nvidia.com/compute/redist/jp/v44/tensorflow/tensorflow-1.15.3+nv20.9-cp36-cp36m-linux_aarch64.whl TENSORFLOW_WHL=tensorflow-1.15.3+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 3:48 PM UTC
2a950e2e2d67f26b10f3f2454474a2ca40681c0d3193a4cd34dd0d5897236c52ARG
TENSORFLOW_WHL=tensorflow-1.15.3+nv20.9-cp36-cp36m-linux_aarch64.whl
10/19/2020 3:38 PM UTC
34172ba5147b7fe8b859128b277840d19a88672750913bc7c0f7e82923cd5f19ARG
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
a3748d9e165b34a8b4195d5710592e3f6366c36eeef229d24693b13f7a8505fdRUN
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
233557568df20934841073f80e62aa968f5b4e543be09b94b66243a5e124301eRUN
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
aac4223db1862be3c79a8d08ea8d135877809309a4a51eaac47d5bde839f5f5fRUN
HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j6 pip3 install numpy --verbose
10/19/2020 3:33 PM UTC