Skip to main content
ContainersNVIDIADeepSeek-R1NVIDIALlama-3.1-Nemotron-70B-InstructNVIDIAPyTorch
CollectionsNVIDIAOmniverse Kit (FB)NVIDIADeepStream SDKNVIDIAOmniverse Kit App Streaming
ModelsNVIDIAStyleGAN3 pretrained modelsNVIDIAPeopleNetNVIDIATrafficCamNet
ResourcesNVIDIARiva Skills Quick Start
Helm ChartsNVIDIAGPU OperatorNVIDIANVIDIA NIM Operator
Google
NVIDIA L4T TensorFlow
Container
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
sha256:86ad789319c2373b26bdb4813dd85f07301d566aa3b9ccbc1ac90f656f09f36fRUN
TENSORFLOW_URL=https://nvidia.box.com/shared/static/rummpy6q1km1wivomalpkwt2jy28mndf.whl TENSORFLOW_WHL=tensorflow-1.15.2+nv-cp36-cp36m-linux_aarch64.whl pip3 install pycuda --verbose
04/27/2020 9:25 PM UTC
sha256:2ba43cb45ba2d1ac44531713e2a0e8e737a2a626cf411baa1861559ba4ca7760RUN
TENSORFLOW_URL=https://nvidia.box.com/shared/static/rummpy6q1km1wivomalpkwt2jy28mndf.whl TENSORFLOW_WHL=tensorflow-1.15.2+nv-cp36-cp36m-linux_aarch64.whl echo "$PATH" &&
  echo "$LD_LIBRARY_PATH"
04/27/2020 9:19 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/cuda-10.2/targets/aarch64-linux/lib:
04/27/2020 9:19 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
04/27/2020 9:19 PM UTC
sha256:c501ac732200d44533355a5200c97a61523c519b9043e6dd1548f06ac453debaRUN
TENSORFLOW_URL=https://nvidia.box.com/shared/static/rummpy6q1km1wivomalpkwt2jy28mndf.whl TENSORFLOW_WHL=tensorflow-1.15.2+nv-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}
04/27/2020 9:19 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
TENSORFLOW_WHL=tensorflow-1.15.2+nv-cp36-cp36m-linux_aarch64.whl
04/27/2020 8:55 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
TENSORFLOW_URL=https://nvidia.box.com/shared/static/rummpy6q1km1wivomalpkwt2jy28mndf.whl
04/27/2020 8:55 PM UTC
sha256:4b2b1047b8bc61efb6d273da8e1381c3563401a35f0426c4680f67cee9b3ddeaRUN
pip3 install future==0.17.1 mock==3.0.5 keras_preprocessing==1.0.5 keras_applications==1.0.8 gast==0.2.2 futures protobuf pybind11 --verbose
04/27/2020 8:55 PM UTC
sha256:0e353f2a3ce645fe1ef4fe0529d4f0f75de771a1fc605018864d8f1a405638f7RUN
HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ pip3 install h5py==2.9.0 --verbose
04/27/2020 8:55 PM UTC
sha256:706c2055d8e03f818b3b0e53957adf89a7b183b271cf3eef66c8392fb23cce6cRUN
pip3 install numpy --verbose
04/27/2020 8:48 PM UTC
1-10 of 33 items

Modal Content

NVIDIA uses cookies to improve your experience on our web site. We and our third-party partners also use cookies and other tools to collect and record information you provide as well as information about your interactions with our websites for performance improvement, analytics, and to assist in marketing efforts. By clicking "Accept All", you consent to our use of cookies and other tools as described in our Cookie Policy. You can manage your cookie settings by clicking on "Manage Settings." By continuing to use this site or by clicking one of the buttons below, you agree to our Terms of Service (which contains important waivers). Please see our Privacy Policy for more information on our privacy practices.

Manage Settings