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Neural Network Libraries
Container
Sony
Neural Network Libraries

Neural Network Libraries is a deep learning framework that is intended to be used for research, development and production. We aim to have it running everywhere: desktop PCs, HPC clusters, embedded devices and production servers.

LayerLabelCreated
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4CMD
/bin/bash
01/16/2021 6:58 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4WORKDIR
/opt/nnabla
01/16/2021 6:58 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4USER
nnabla
01/16/2021 6:58 AM UTC
sha256:22f13ad564050d5982292fe9cc576d9b906c60185242818f19c6cbd4a9bff80dRUN
WHEEL=nnabla-1.15.0-cp37-cp37m-linux_x86_64.whl WHEEL_CONVERTER=nnabla_converter-1.15.0-py37-none-any.whl WHEEL_CUDA=nnabla_ext_cuda102-1.15.0-cp37-cp37m-linux_x86_64.whl chown -R nnabla:nnabla /opt/nnabla
01/16/2021 6:58 AM UTC
sha256:740967280ae5f2449eee6537e2b4eb99647662cddae3d83a75bd4bce4465a860COPY
dir:95b018a45f24195e36d1916a8f01a6539a3a05e19e2ed3d7f20e933a61f36ea1 in /opt/nnabla/tests
01/16/2021 6:57 AM UTC
sha256:fbe1c27db58fa5be8d344adf7eaad1f0826314d24bdd9858e21cf7ff23c5e47aCOPY
dir:88fed5fbc9cac951e3c01f0122e9134d4045e81fb2321ab7b70ae835303ac898 in /opt/nnabla/examples
01/16/2021 6:57 AM UTC
sha256:98ff52cd40fb9e944cb8f359206e4ca3237bd8697d3017578abade1c824dc430RUN
WHEEL=nnabla-1.15.0-cp37-cp37m-linux_x86_64.whl WHEEL_CONVERTER=nnabla_converter-1.15.0-py37-none-any.whl WHEEL_CUDA=nnabla_ext_cuda102-1.15.0-cp37-cp37m-linux_x86_64.whl useradd -m -b /opt nnabla
01/16/2021 6:57 AM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
WHEEL=nnabla-1.15.0-cp37-cp37m-linux_x86_64.whl WHEEL_CONVERTER=nnabla_converter-1.15.0-py37-none-any.whl WHEEL_CUDA=nnabla_ext_cuda102-1.15.0-cp37-cp37m-linux_x86_64.whl mkdir -p /opt
01/16/2021 6:57 AM UTC
sha256:6d2398cb661c06c82c936ad2debbc100c77bdb49561e70f6b9833cff9ac4cecdRUN
WHEEL=nnabla-1.15.0-cp37-cp37m-linux_x86_64.whl WHEEL_CONVERTER=nnabla_converter-1.15.0-py37-none-any.whl WHEEL_CUDA=nnabla_ext_cuda102-1.15.0-cp37-cp37m-linux_x86_64.whl pip3 install 'scipy<1.6.0' &&
  pip3 install --prefer-binary /tmp/whl/${WHEEL} /tmp/whl/${WHEEL_CUDA} /tmp/whl/${WHEEL_CONVERTER} &&
  rm -rf /tmp/whl
01/16/2021 6:57 AM UTC
sha256:ed7e7e29b824d347cadba24bb125d6688d49d15f58f1c555d73802f6360ec574ADD
file:a4b27dd662c85951a4cdb861a3c808ab393013b9ccae142b5133f352cfe74b53 in /tmp/whl
01/16/2021 6:56 AM UTC

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