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
sha256:78619ac0ae6f6dcbc3985016022fff090302e345b370cb64ba36cd77e33d09cc	CONFIG	`—`	—
5fb3048d50d4af499a0ebf6b304edc3ecac03e5d483f304368876cb0b01d1c52	RUN	`HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j$(nproc) PROTOBUF_DIR=protobuf-python-3.19.4 PROTOBUF_URL=https://github.com/protocolbuffers/protobuf/releases/download/v3.19.4 PROTOBUF_VERSION=3.19.4 PROTOC_DIR=protoc-3.19.4-linux-aarch_64 TENSORFLOW_URL=https://developer.download.nvidia.com/compute/redist/jp/v50/tensorflow/tensorflow-2.8.0+nv22.3-cp38-cp38-linux_aarch64.whl TENSORFLOW_WHL=tensorflow-2.8.0+nv22.3-cp38-cp38-linux_aarch64.whl echo "$PATH" && echo "$LD_LIBRARY_PATH"`	04/14/2022 8:02 PM UTC
e141d92aa8a699780d85ed0c73bbd622746d320a25570a0fcd4d1fa4639b1e5b	ENV	`LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/cuda/lib64:`	04/14/2022 8:02 PM UTC
da9bea0ecb95bc4ee495006d3a2f1a67ebaf7911ccb595e48c5d91f2ace10c5b	ENV	`PATH=/usr/local/cuda/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin`	04/14/2022 8:02 PM UTC
55e8df3d7b10f03d2fedd0bb63e26ad9428b14c0849a2687369d41cd7b29e0cf	RUN	HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j$(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/v50/tensorflow/tensorflow-2.8.0+nv22.3-cp38-cp38-linux_aarch64.whl TENSORFLOW_WHL=tensorflow-2.8.0+nv22.3-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 ${TENSORFLOW_WHL}	04/14/2022 8:02 PM UTC
24136d26e059b00cadb2d552f60e7761384f96604a94ab60d6c4aea1f425add5	ARG	`TENSORFLOW_WHL=tensorflow-1.15.3+nv20.9-cp36-cp36m-linux_aarch64.whl`	04/01/2022 6:50 PM UTC
c4a05b5e4e9d9f32780efdc741f17c6f8340f33b577f9b4a56d0d40eea2398a2	ARG	`TENSORFLOW_URL=https://developer.download.nvidia.com/compute/redist/jp/v44/tensorflow/tensorflow-1.15.3+nv20.9-cp36-cp36m-linux_aarch64.whl`	04/01/2022 6:50 PM UTC
53643a1f657c9c02b5a88db579d102ed78e3aba51e87eadee4714ed58cebba60	RUN	`HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j$(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`	04/01/2022 6:50 PM UTC
d97c0dc4a66588c8888e921ac4ab95a13b91d430a0f0a1bcd726cf40239106dc	RUN	`HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j$(nproc) PROTOBUF_DIR=protobuf-python-3.19.4 PROTOBUF_URL=https://github.com/protocolbuffers/protobuf/releases/download/v3.19.4 PROTOBUF_VERSION=3.19.4 PROTOC_DIR=protoc-3.19.4-linux-aarch_64 H5PY_SETUP_REQUIRES=0 pip3 install --no-cache-dir --verbose h5py==3.1.0`	04/01/2022 6:50 PM UTC
3db7789c1691e98938e60d9e8fcebb32f12be7c068333f04576d74b4f2872cf8	RUN	`HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j$(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==1.19.4`	04/01/2022 6:48 PM UTC