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
sha256:6fff34de83aede36741f8e65458f2d30957f95a4a57c7cfc707fbd88e1b1eeb4CONFIG
33948064e8398cfbd50cf9da22acc0f3adaee2143acc36e5a08e803aade012b2RUN
HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j$(nproc) PROTOBUF_DIR=protobuf-python-3.19.4 PROTOBUF_URL=https://github.com/protocolbuffers/protobuf/releases/download/v3.19.4 PROTOBUF_VERSION=3.19.4 PROTOC_DIR=protoc-3.19.4-linux-aarch_64 TENSORFLOW_URL=https://developer.download.nvidia.com/compute/redist/jp/v461/tensorflow/tensorflow-1.15.5+nv22.1-cp36-cp36m-linux_aarch64.whl TENSORFLOW_WHL=tensorflow-1.15.5+nv22.1-cp36-cp36m-linux_aarch64.whl echo "$PATH" &&
  echo "$LD_LIBRARY_PATH"
02/18/2022 12:37 AM UTC
c06eb13ddb48f1a4ab7c2e796912b2468149629415cd9631a3f1c49a50bb29cbENV
LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/cuda-10.2/targets/aarch64-linux/lib:
02/18/2022 12:37 AM UTC
51d016ed680dce583137124cfda455558a874b1bf97fc75f8190c17e0fd8e5e4ENV
PATH=/usr/local/cuda/bin:/usr/local/cuda-10.2/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
02/18/2022 12:37 AM UTC
4eee3ac4308da10e708ebf4a31a804ed6b0bdfb4bc67f2fe4654d1d7e52e58f7RUN
HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j$(nproc) PROTOBUF_DIR=protobuf-python-3.19.4 PROTOBUF_URL=https://github.com/protocolbuffers/protobuf/releases/download/v3.19.4 PROTOBUF_VERSION=3.19.4 PROTOC_DIR=protoc-3.19.4-linux-aarch_64 TENSORFLOW_URL=https://developer.download.nvidia.com/compute/redist/jp/v461/tensorflow/tensorflow-1.15.5+nv22.1-cp36-cp36m-linux_aarch64.whl TENSORFLOW_WHL=tensorflow-1.15.5+nv22.1-cp36-cp36m-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 ${TENSORFLOW_WHL}
02/18/2022 12:37 AM UTC
070b7c182bcee384f0b235b3fe6c803d71b13ed23e0d4055b524592aae91c4ecARG
TENSORFLOW_WHL=tensorflow-1.15.3+nv20.9-cp36-cp36m-linux_aarch64.whl
02/18/2022 12:11 AM UTC
73d7a1141c15b8e958e357cbd80894758a5a3a8c199359ad39b9b75b89d50711ARG
TENSORFLOW_URL=https://developer.download.nvidia.com/compute/redist/jp/v44/tensorflow/tensorflow-1.15.3+nv20.9-cp36-cp36m-linux_aarch64.whl
02/18/2022 12:11 AM UTC
df161332ae9e7a71ab51b632a3f81c50405264c3109e5124386d6a56a7a6d871RUN
HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j$(nproc) PROTOBUF_DIR=protobuf-python-3.19.4 PROTOBUF_URL=https://github.com/protocolbuffers/protobuf/releases/download/v3.19.4 PROTOBUF_VERSION=3.19.4 PROTOC_DIR=protoc-3.19.4-linux-aarch_64 pip3 install --no-cache-dir --verbose future==0.18.2 mock==3.0.5 keras_preprocessing==1.1.2 keras_applications==1.0.8 gast==0.4.0 futures pybind11
02/18/2022 12:11 AM UTC
7525eb80075701fd42f46895eebdf6531b94d854f21fdd60377b2ddaf50c1124RUN
HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j$(nproc) PROTOBUF_DIR=protobuf-python-3.19.4 PROTOBUF_URL=https://github.com/protocolbuffers/protobuf/releases/download/v3.19.4 PROTOBUF_VERSION=3.19.4 PROTOC_DIR=protoc-3.19.4-linux-aarch_64 H5PY_SETUP_REQUIRES=0 pip3 install --no-cache-dir --verbose h5py==3.1.0
02/18/2022 12:11 AM UTC
528c85d8dfb80ecee8c3d2a4600d051861ac06cbb43693e7cba0eefee1775d76RUN
HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j$(nproc) PROTOBUF_DIR=protobuf-python-3.19.4 PROTOBUF_URL=https://github.com/protocolbuffers/protobuf/releases/download/v3.19.4 PROTOBUF_VERSION=3.19.4 PROTOC_DIR=protoc-3.19.4-linux-aarch_64 pip3 install --no-cache-dir --verbose numpy
02/18/2022 12:05 AM UTC

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.