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Sony
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
07/21/2020 9:26 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4WORKDIR
/opt/nnabla
07/21/2020 9:26 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4USER
nnabla
07/21/2020 9:26 PM UTC
sha256:462466985b366de1139ac141eb1d4f9add4f803b8c80fe60c01cb73b6ee83397RUN
WHEEL=nnabla-1.9.0-cp36-cp36m-linux_x86_64.whl WHEEL_CUDA=nnabla_ext_cuda-1.9.0-cp36-cp36m-linux_x86_64.whl chown -R nnabla:nnabla /opt/nnabla
07/21/2020 9:26 PM UTC
sha256:ab9a2964059cf0e44bc08456209b9e7df78066c1f1102346ceec5ea328257322COPY
dir:beca6301ee92475ef2d0f6cc09573cbb6b5316b74b8ad5887e468a8298e53827 in /opt/nnabla/tests
07/21/2020 9:26 PM UTC
sha256:1a747883fd771223e9761613abe98a7ef32bb8ae08083b4b06baddbc392aed86COPY
dir:e1ce1ab961507e3613dbd9e7268d6dcd37d90f8185216f47f4a436d97d50e5c3 in /opt/nnabla/examples
07/21/2020 9:26 PM UTC
sha256:ae3d5bcde29dc20b6351ad900e778646980fc0428a8e03114531dfd6261d9517COPY
file:e3aae5f49b6991d062ddbdac1cc7d159c888cfbe59fa6dae2c7e94f2f7eb97da in /opt/nnabla/
07/21/2020 9:26 PM UTC
sha256:19d166070b3b740c8d468af9a4c9f743bf44063cd04d89581f53552f6bec72a2RUN
WHEEL=nnabla-1.9.0-cp36-cp36m-linux_x86_64.whl WHEEL_CUDA=nnabla_ext_cuda-1.9.0-cp36-cp36m-linux_x86_64.whl useradd -m -b /opt nnabla
07/21/2020 9:26 PM UTC
sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4RUN
WHEEL=nnabla-1.9.0-cp36-cp36m-linux_x86_64.whl WHEEL_CUDA=nnabla_ext_cuda-1.9.0-cp36-cp36m-linux_x86_64.whl mkdir -p /opt
07/21/2020 9:26 PM UTC
sha256:115580496d828ea0dde0b542f2218ed3b93437627d2796a20a205b3b5acda78fRUN
WHEEL=nnabla-1.9.0-cp36-cp36m-linux_x86_64.whl WHEEL_CUDA=nnabla_ext_cuda-1.9.0-cp36-cp36m-linux_x86_64.whl rm -rf /tmp/whl
07/21/2020 9:26 PM UTC

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