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:ea9d7f82c8acf20b710796594bf9b7f1f28c0e74f74df7a8983e08b3482edffc	CONFIG	`—`	—
488e29529d609309e6b51aa61ae6a02135a6107d17f8319ebd0bef5d635b7bdf	RUN	`HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j$(nproc) PROTOBUF_DIR=protobuf-python-3.20.1 PROTOBUF_URL=https://github.com/protocolbuffers/protobuf/releases/download/v3.20.1 PROTOBUF_VERSION=3.20.1 PROTOC_DIR=protoc-3.20.1-linux-aarch_64 TENSORFLOW_URL=https://developer.download.nvidia.com/compute/redist/jp/v50/tensorflow/tensorflow-2.8.0+nv22.4-cp38-cp38-linux_aarch64.whl TENSORFLOW_WHL=tensorflow-2.8.0+nv22.4-cp38-cp38-linux_aarch64.whl echo "$PATH" && echo "$LD_LIBRARY_PATH"`	05/23/2022 3:07 PM UTC
500bb2c89442faa3d917d0f7c8b9602383fd1bc03d9112d4e8761f0a7a3903fa	ENV	`LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/cuda/lib64:`	05/23/2022 3:07 PM UTC
9dd62791d33387d83e557ae8359367cf0b6d04ef160ab216419bfabff89bac25	ENV	`PATH=/usr/local/cuda/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin`	05/23/2022 3:07 PM UTC
effa9b0aa27c8b943336e9702223e1e452226c1dfe94c6ec042379108d8e549a	RUN	HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j$(nproc) PROTOBUF_DIR=protobuf-python-3.20.1 PROTOBUF_URL=https://github.com/protocolbuffers/protobuf/releases/download/v3.20.1 PROTOBUF_VERSION=3.20.1 PROTOC_DIR=protoc-3.20.1-linux-aarch_64 TENSORFLOW_URL=https://developer.download.nvidia.com/compute/redist/jp/v50/tensorflow/tensorflow-2.8.0+nv22.4-cp38-cp38-linux_aarch64.whl TENSORFLOW_WHL=tensorflow-2.8.0+nv22.4-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 ${TENSORFLOW_WHL}	05/23/2022 3:07 PM UTC
e49b50c6e117b5b6bc24801f06aed5ea6b505f1309200c34778421cc6a76aa2a	ARG	`TENSORFLOW_WHL=tensorflow-1.15.3+nv20.9-cp36-cp36m-linux_aarch64.whl`	05/23/2022 2:54 PM UTC
a949871f870ab8011518c39324bbb88eb721501ecb3384fe4806961a4a023713	ARG	`TENSORFLOW_URL=https://developer.download.nvidia.com/compute/redist/jp/v44/tensorflow/tensorflow-1.15.3+nv20.9-cp36-cp36m-linux_aarch64.whl`	05/23/2022 2:54 PM UTC
9e8fab5cde7da2f70c0034ccccf72c0dcf53ac500fd30f778c5f5cd094d20a62	RUN	`HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j$(nproc) PROTOBUF_DIR=protobuf-python-3.20.1 PROTOBUF_URL=https://github.com/protocolbuffers/protobuf/releases/download/v3.20.1 PROTOBUF_VERSION=3.20.1 PROTOC_DIR=protoc-3.20.1-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`	05/23/2022 2:54 PM UTC
dae18bf5cade9348b8e28ea5687371e94f165cfe8758d862a0fff478ef08d0f2	RUN	`HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j$(nproc) PROTOBUF_DIR=protobuf-python-3.20.1 PROTOBUF_URL=https://github.com/protocolbuffers/protobuf/releases/download/v3.20.1 PROTOBUF_VERSION=3.20.1 PROTOC_DIR=protoc-3.20.1-linux-aarch_64 H5PY_SETUP_REQUIRES=0 pip3 install --no-cache-dir --verbose h5py==3.1.0`	05/23/2022 2:53 PM UTC
29aaef6a7fb350331b4d2130e1bf3b2ed9b3a503b88692cf7d26345032609d2f	RUN	`HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j$(nproc) PROTOBUF_DIR=protobuf-python-3.20.1 PROTOBUF_URL=https://github.com/protocolbuffers/protobuf/releases/download/v3.20.1 PROTOBUF_VERSION=3.20.1 PROTOC_DIR=protoc-3.20.1-linux-aarch_64 pip3 install --no-cache-dir --verbose numpy==1.19.4`	05/23/2022 2:51 PM UTC