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NVIDIA
Holoscan Container
Container
NVIDIA
NVIDIA
Holoscan Container

The Holoscan container includes the Holoscan libraries, GXF extensions, headers, example source code, and sample datasets. It is the recommended way to run the Holoscan examples or build your own applications.

NVIDIA AI Enterprise Supported
LayerLabelCreated
f4780f519c4a9cad9d1b238628c5b6d4365c01aa6171dfbda01cdd0aa49ff25dCONFIG
Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /opt/nvidia/holoscan
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2238800537aa828b6cfefacd21933a6c2e82523042853f91a47155b812b5ea81COPY
docker/release/entrypoint.d/ /opt/nvidia/entrypoint.d/
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39c0f06fb5d82af1494be68feb6853f320cbbc5228e811c04a0c643d8aeef30cENV
NVIDIA_PRODUCT_NAME=NVIDIA Holoscan SDK
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1080e8e922aef63b6ed2ea6be2e0fb9ad2793ce98adff57fa18c14e1cb0c6746ENV
HOLOSCAN_SDK_VERSION=3.7.0
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bcbac52b958de1ec32f43b4ebe157f4213e0508df445388e92df2e20ec55ad13ARG
HOLOSCAN_SDK_VERSION=3.7.0
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bdd19f01388378751d34f182ff21d086e0559fd178ffecb88a79bcf92c5cebe2RUN
ENABLE_APT_CACHING=true DEBIAN_FRONTEND=noninteractive TARGETARCH=amd64 GPU_TYPE=dgpu DOCA_VERSION=3.0.0 INSTALL_PATH=/opt/nvidia/holoscan SAMPLE_DATA_PATH=/opt/nvidia/holoscan/data NCCL_VERSION=2.27 CUDA_MAJOR=12 CCCL_VERSION=3.0.1 HOST_INSTALL_DIR=install-cu12-x86_64 HOST_SDK_INSTALL_DIR=/workspace/holoscan-sdk ONNX_RUNTIME_VERSION=1.22.1 CUDSS_VERSION=0.6.0.5 mkdir /opt/nvidia/legal &&
  mv /opt/nvidia/entrypoint.d/13-tensorrt-copyright.txt /opt/nvidia/entrypoint.d/30-container-license.txt /opt/nvidia/legal/ ||
  true
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347bf202b0a9e8dd891d0ab17510b56eb7f2160636583308937732eefeb24254RUN
ENABLE_APT_CACHING=true DEBIAN_FRONTEND=noninteractive TARGETARCH=amd64 GPU_TYPE=dgpu DOCA_VERSION=3.0.0 INSTALL_PATH=/opt/nvidia/holoscan SAMPLE_DATA_PATH=/opt/nvidia/holoscan/data NCCL_VERSION=2.27 CUDA_MAJOR=12 CCCL_VERSION=3.0.1 HOST_INSTALL_DIR=install-cu12-x86_64 HOST_SDK_INSTALL_DIR=/workspace/holoscan-sdk ONNX_RUNTIME_VERSION=1.22.1 CUDSS_VERSION=0.6.0.5 rm -f /opt/nvidia/entrypoint.d/40-tensorrt-samples-info.txt /opt/nvidia/entrypoint.d/29-tensorrt-url.txt /opt/nvidia/entrypoint.d/12-banner.sh ||
  true
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838eac4f960c4744af457fe36d5993d7ed5852250bd1562d9e4402414f4b9345RUN
ENABLE_APT_CACHING=true DEBIAN_FRONTEND=noninteractive TARGETARCH=amd64 GPU_TYPE=dgpu DOCA_VERSION=3.0.0 INSTALL_PATH=/opt/nvidia/holoscan SAMPLE_DATA_PATH=/opt/nvidia/holoscan/data NCCL_VERSION=2.27 CUDA_MAJOR=12 CCCL_VERSION=3.0.1 HOST_INSTALL_DIR=install-cu12-x86_64 HOST_SDK_INSTALL_DIR=/workspace/holoscan-sdk ONNX_RUNTIME_VERSION=1.22.1 CUDSS_VERSION=0.6.0.5 if find ${LIBTORCH} -name libtorch.so | xargs -I {} ldd {} | grep -q "libcudss.so"; then curl -S -# -o cudss.tar.xz "https://developer.download.nvidia.com/compute/cudss/redist/libcudss/linux-$(uname -m)/libcudss-linux-$(uname -m)-${CUDSS_VERSION}_cuda${CUDA_MAJOR}-archive.tar.xz" &&
  tar xJf cudss.tar.xz --strip-components 1 --no-same-owner --no-same-permissions &&
  rm -f cudss.tar.xz &&
  echo "/opt/nvidia/cudss/lib" >> /etc/ld.so.conf.d/cudss.conf &&
  ldconfig &&
  ldconfig -p | grep -q cudss; fi
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6dae735cd2e2ca6929d83afb35e45f7a8a85de1134b1044c7aec5ce2598de412WORKDIR
/opt/nvidia/cudss
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7bb2c24a6d232d27e0b17eb52f7172baa481986785760886343b80e159cc7ee3ARG
CUDA_MAJOR=12
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...

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