NVIDIA L4T TensorFlow

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Container

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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.

Layer	Label		Created
sha256:3f189e516214ff968d3a970967c501cf76a8015eec26c4d4f9916ed12684a833	CONFIG	`—`	—
f08272ea6047f2793d9f6378e4c43969cb83f1bee953eba54d6dcee9f33cd18c	RUN	`HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j$(nproc) PROTOBUF_DIR=protobuf-python-3.19.4 PROTOBUF_URL=https://github.com/protocolbuffers/protobuf/releases/download/v3.19.4 PROTOBUF_VERSION=3.19.4 PROTOC_DIR=protoc-3.19.4-linux-aarch_64 TENSORFLOW_URL=https://developer.download.nvidia.com/compute/redist/jp/v461/tensorflow/tensorflow-2.7.0+nv22.1-cp36-cp36m-linux_aarch64.whl TENSORFLOW_WHL=tensorflow-2.7.0+nv22.1-cp36-cp36m-linux_aarch64.whl echo "$PATH" && echo "$LD_LIBRARY_PATH"`	02/18/2022 12:55 AM UTC
4c8ef22db8e452a9d4d9b3fddbea37bd6494e5405424c5ad1060405cf53eb36f	ENV	`LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/cuda-10.2/targets/aarch64-linux/lib:`	02/18/2022 12:55 AM UTC
74a8290d6b0bf58b169fd6896fd81be3e7cae8b15c3fe575e850c98e5c59f630	ENV	`PATH=/usr/local/cuda/bin:/usr/local/cuda-10.2/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin`	02/18/2022 12:55 AM UTC
64c9ce2b16e6aace95d209cd97ae5756ecaa516da44a9f49868c36030fd78a7c	RUN	HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j$(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-2.7.0+nv22.1-cp36-cp36m-linux_aarch64.whl TENSORFLOW_WHL=tensorflow-2.7.0+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 ${TENSORFLOW_WHL}	02/18/2022 12:55 AM UTC
070b7c182bcee384f0b235b3fe6c803d71b13ed23e0d4055b524592aae91c4ec	ARG	`TENSORFLOW_WHL=tensorflow-1.15.3+nv20.9-cp36-cp36m-linux_aarch64.whl`	02/18/2022 12:11 AM UTC
73d7a1141c15b8e958e357cbd80894758a5a3a8c199359ad39b9b75b89d50711	ARG	`TENSORFLOW_URL=https://developer.download.nvidia.com/compute/redist/jp/v44/tensorflow/tensorflow-1.15.3+nv20.9-cp36-cp36m-linux_aarch64.whl`	02/18/2022 12:11 AM UTC
df161332ae9e7a71ab51b632a3f81c50405264c3109e5124386d6a56a7a6d871	RUN	`HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j$(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
7525eb80075701fd42f46895eebdf6531b94d854f21fdd60377b2ddaf50c1124	RUN	`HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j$(nproc) PROTOBUF_DIR=protobuf-python-3.19.4 PROTOBUF_URL=https://github.com/protocolbuffers/protobuf/releases/download/v3.19.4 PROTOBUF_VERSION=3.19.4 PROTOC_DIR=protoc-3.19.4-linux-aarch_64 H5PY_SETUP_REQUIRES=0 pip3 install --no-cache-dir --verbose h5py==3.1.0`	02/18/2022 12:11 AM UTC
528c85d8dfb80ecee8c3d2a4600d051861ac06cbb43693e7cba0eefee1775d76	RUN	`HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j$(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