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:fb2f16cc116df1bc509eb9eaab620a142fc8a48c010c47bfb21c036d1d6710fc	CONFIG	`—`	—
206a9e6fe1c030de4be473a37621776c7a9ada923fb4e962897ed549967de16a	RUN	HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j$(nproc) OPENCV_DEB=OpenCV-4.5.0-aarch64.tar.gz OPENCV_URL=https://nvidia.box.com/shared/static/2hssa5g3v28ozvo3tc3qwxmn78yerca9.gz PROTOBUF_DIR=protobuf-python-3.20.3 PROTOBUF_URL=https://github.com/protocolbuffers/protobuf/releases/download/v3.20.3 PROTOBUF_VERSION=3.20.3 PROTOC_DIR=protoc-3.20.3-linux-aarch_64 TENSORFLOW_URL=https://nvidia.box.com/shared/static/9vcmax1wmlqlw2e2r1adh1c045k2ju21.whl TENSORFLOW_WHL=tensorflow-2.11.0+nv23.01-cp38-cp38-linux_aarch64.whl pip3 install --no-cache-dir --verbose pycuda six	02/09/2023 9:28 PM UTC
9a4ee6cc6cbca736f1ed6ade51720932e60df12c7e7c60cf126ce818332d43a5	RUN	HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j$(nproc) OPENCV_DEB=OpenCV-4.5.0-aarch64.tar.gz OPENCV_URL=https://nvidia.box.com/shared/static/2hssa5g3v28ozvo3tc3qwxmn78yerca9.gz PROTOBUF_DIR=protobuf-python-3.20.3 PROTOBUF_URL=https://github.com/protocolbuffers/protobuf/releases/download/v3.20.3 PROTOBUF_VERSION=3.20.3 PROTOC_DIR=protoc-3.20.3-linux-aarch_64 TENSORFLOW_URL=https://nvidia.box.com/shared/static/9vcmax1wmlqlw2e2r1adh1c045k2ju21.whl TENSORFLOW_WHL=tensorflow-2.11.0+nv23.01-cp38-cp38-linux_aarch64.whl echo "$PATH" && echo "$LD_LIBRARY_PATH"	02/09/2023 9:26 PM UTC
dce7bdde213b59d0f6f6578c79ef8796cb0386947e88d5c3885864145d0b2e4b	ENV	`LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/cuda/lib64:`	02/09/2023 9:26 PM UTC
753fcbe3a76b73775a0d875c4998fe38dd2ce3391137cc7629b6ff43d1900c25	ENV	`PATH=/usr/local/cuda/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin`	02/09/2023 9:26 PM UTC
ca5fc50942aabb807e0183c8246d59c16b1afb969730058e601453054d355df1	RUN	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-3.20.3 PROTOBUF_URL=https://github.com/protocolbuffers/protobuf/releases/download/v3.20.3 PROTOBUF_VERSION=3.20.3 PROTOC_DIR=protoc-3.20.3-linux-aarch_64 TENSORFLOW_URL=https://nvidia.box.com/shared/static/9vcmax1wmlqlw2e2r1adh1c045k2ju21.whl TENSORFLOW_WHL=tensorflow-2.11.0+nv23.01-cp38-cp38-linux_aarch64.whl cd /tmp && ./opencv_install.sh ${OPENCV_URL} ${OPENCV_DEB}	02/09/2023 9:26 PM UTC
7871eedaf3cac51c4b90d8ec1e7deee7b8eae05de3c5a988a9862bad33f33107	COPY	`file:498fecc8066c967b902ae0c60535ba1703a92606515d9c5f3f082e28ddc06b4d in /tmp/opencv_install.sh`	02/09/2023 9:25 PM UTC
3b87ce2d67c84b3c4f015b4002b7e04a978ba7295756cf28ca4a47e5e02733dd	ARG	`OPENCV_DEB=OpenCV-4.5.0-aarch64.tar.gz`	02/01/2023 3:41 PM UTC
75af2997773a1a490d2da5fd0529ae9b574d5908b2867cfa6f142bdb18854d2b	ARG	`OPENCV_URL=https://nvidia.box.com/shared/static/5v89u6g5rb62fpz4lh0rz531ajo2t5ef.gz`	02/01/2023 3:41 PM UTC
0692eab07a121ef6fcf4720fe975acf47629afff94fb640416a6cd7d10c6b8a4	RUN	HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j$(nproc) PROTOBUF_DIR=protobuf-python-3.20.3 PROTOBUF_URL=https://github.com/protocolbuffers/protobuf/releases/download/v3.20.3 PROTOBUF_VERSION=3.20.3 PROTOC_DIR=protoc-3.20.3-linux-aarch_64 TENSORFLOW_URL=https://nvidia.box.com/shared/static/9vcmax1wmlqlw2e2r1adh1c045k2ju21.whl TENSORFLOW_WHL=tensorflow-2.11.0+nv23.01-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}	02/01/2023 3:41 PM UTC