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NVIDIA L4T TensorFlow
Container
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
sha256:910da2ccb3a7c5d708f917f31c08ef83e28b24900e09133523025ba7c5796238RUN
HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j$(nproc) PROTOBUF_DIR=protobuf-python-3.20.1 PROTOBUF_URL=https://github.com/protocolbuffers/protobuf/releases/download/v3.20.1 PROTOBUF_VERSION=3.20.1 PROTOC_DIR=protoc-3.20.1-linux-aarch_64 TENSORFLOW_URL=https://developer.download.nvidia.com/compute/redist/jp/v50/tensorflow/tensorflow-1.15.5+nv22.4-cp38-cp38-linux_aarch64.whl TENSORFLOW_WHL=tensorflow-1.15.5+nv22.4-cp38-cp38-linux_aarch64.whl pip3 install --no-cache-dir --verbose pycuda six
05/23/2022 3:03 PM UTC
sha256:406c7c67cb91f140887aa63bc3591583db56075215a0e4efeaaa36856fe8f228RUN
HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j$(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-1.15.5+nv22.4-cp38-cp38-linux_aarch64.whl TENSORFLOW_WHL=tensorflow-1.15.5+nv22.4-cp38-cp38-linux_aarch64.whl echo "$PATH" &&
  echo "$LD_LIBRARY_PATH"
05/23/2022 3:00 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/cuda/lib64:
05/23/2022 3:00 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
PATH=/usr/local/cuda/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
05/23/2022 3:00 PM UTC
sha256:e0e536b24e682053c35ff81c5441233346664ccc9072e86d844ec606afc09c12RUN
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-1.15.5+nv22.4-cp38-cp38-linux_aarch64.whl TENSORFLOW_WHL=tensorflow-1.15.5+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 ${TENSORFLOW_WHL}
05/23/2022 3:00 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
TENSORFLOW_WHL=tensorflow-1.15.3+nv20.9-cp36-cp36m-linux_aarch64.whl
05/23/2022 2:54 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
TENSORFLOW_URL=https://developer.download.nvidia.com/compute/redist/jp/v44/tensorflow/tensorflow-1.15.3+nv20.9-cp36-cp36m-linux_aarch64.whl
05/23/2022 2:54 PM UTC
sha256:e7d89a68ff1af4e19fa89c9f87558e881358bc3933ddcb3c3960f833416f8e43RUN
HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j$(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
sha256:d2331eb9109d72d04cdf664b7785b7d6ccf8ff08e3d5cf5f4efa0059ef40ec3bRUN
HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j$(nproc) PROTOBUF_DIR=protobuf-python-3.20.1 PROTOBUF_URL=https://github.com/protocolbuffers/protobuf/releases/download/v3.20.1 PROTOBUF_VERSION=3.20.1 PROTOC_DIR=protoc-3.20.1-linux-aarch_64 H5PY_SETUP_REQUIRES=0 pip3 install --no-cache-dir --verbose h5py==3.1.0
05/23/2022 2:53 PM UTC
sha256:edc9550af924e0d2682eeb0e412be7275611965d59dd33e40526affd77218b77RUN
HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ MAKEFLAGS=-j$(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
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