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pytorch/torchserve-kfs:0.5.3-gpu

Manifest digest

sha256:cd23b3f89a957f9ea03a96e7414096a0a81901de4805e9f44b58eb95e1b5ea3a

OS/ARCH

linux/amd64

Compressed size

4.11 GB

Last pushed

over 4 years by pytorchbot

Type

Image

Manifest digest

sha256:cd23b3f89a957f9ea03a96e7414096a0a81901de4805e9f44b58eb95e1b5ea3a

Image Layers

Image Layers

1ADD file ... in / 25.47 MB
2CMD ["bash"]0 B
3ENV NVARCH=x86_640 B
4ENV NVIDIA_REQUIRE_CUDA=cuda>=10.2 brand=tesla,driver>=396,driver<397 brand=tesla,driver>=410,driver<411 brand=tesla,driver>=418,driver<4190 B
5ENV NV_CUDA_CUDART_VERSION=10.2.89-10 B
6ENV NV_ML_REPO_ENABLED=10 B
7ENV NV_ML_REPO_URL=https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_640 B
8ARG TARGETARCH0 B
9LABEL maintainer=NVIDIA CORPORATION <[email protected]>0 B
10RUN |1 TARGETARCH=amd64 /bin/sh -c6.88 MB
11ENV CUDA_VERSION=10.2.890 B
12RUN |1 TARGETARCH=amd64 /bin/sh -c9.1 MB
13RUN |1 TARGETARCH=amd64 /bin/sh -c184 B
14ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin0 B
15ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib640 B
16COPY NGC-DL-CONTAINER-LICENSE / # buildkit6.28 KB
17ENV NVIDIA_VISIBLE_DEVICES=all0 B
18ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility0 B
19ENV NV_CUDA_LIB_VERSION=10.2.89-10 B
20ENV NV_NVTX_VERSION=10.2.89-10 B
21ENV NV_LIBNPP_VERSION=10.2.89-10 B
22ENV NV_LIBCUSPARSE_VERSION=10.2.89-10 B
23ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas100 B
24ENV NV_LIBCUBLAS_VERSION=10.2.2.89-10 B
25ENV NV_LIBCUBLAS_PACKAGE=libcublas10=10.2.2.89-10 B
26ENV NV_LIBNCCL_PACKAGE_NAME=libnccl20 B
27ENV NV_LIBNCCL_PACKAGE_VERSION=2.11.4-10 B
28ENV NCCL_VERSION=2.11.40 B
29ENV NV_LIBNCCL_PACKAGE=libnccl2=2.11.4-1+cuda10.20 B
30ARG TARGETARCH0 B
31LABEL maintainer=NVIDIA CORPORATION <[email protected]>0 B
32RUN |1 TARGETARCH=amd64 /bin/sh -c724.14 MB
33RUN |1 TARGETARCH=amd64 /bin/sh -c61.29 KB
34ENV NV_CUDNN_PACKAGE_VERSION=7.6.5.32-10 B
35ENV NV_CUDNN_VERSION=7.6.5.320 B
36ENV NV_CUDNN_PACKAGE_NAME=libcudnn70 B
37ENV NV_CUDNN_PACKAGE=libcudnn7=7.6.5.32-1+cuda10.20 B
38ARG TARGETARCH0 B
39LABEL maintainer=NVIDIA CORPORATION <[email protected]>0 B
40ENV CUDNN_VERSION=7.6.5.320 B
41LABEL com.nvidia.cudnn.version=7.6.5.320 B
42RUN |1 TARGETARCH=amd64 /bin/sh -c280.93 MB
43ARG BASE_IMAGE0 B
44ARG BRANCH_NAME=master0 B
45ARG MACHINE_TYPE=cpu0 B
46ARG CUDA_VERSION0 B
47ENV PYTHONUNBUFFERED=TRUE0 B
48RUN |4 BASE_IMAGE=nvidia/cuda:10.2-cudnn7-runtime-ubuntu18.04 BRANCH_NAME=release_0.5.3 MACHINE_TYPE=gpu500.74 MB
49RUN |4 BASE_IMAGE=nvidia/cuda:10.2-cudnn7-runtime-ubuntu18.04 BRANCH_NAME=release_0.5.3 MACHINE_TYPE=gpu2.75 KB
50RUN |4 BASE_IMAGE=nvidia/cuda:10.2-cudnn7-runtime-ubuntu18.04 BRANCH_NAME=release_0.5.3 MACHINE_TYPE=gpu2.89 MB
51ENV PATH=/home/venv/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin0 B
52RUN |4 BASE_IMAGE=nvidia/cuda:10.2-cudnn7-runtime-ubuntu18.04 BRANCH_NAME=release_0.5.3 MACHINE_TYPE=gpu8.31 MB
53ARG MACHINE_TYPE=cpu0 B
54ARG CUDA_VERSION0 B
55RUN |2 MACHINE_TYPE=gpu CUDA_VERSION=cu102 /bin/sh2.36 GB
56EXPOSE map[7070/tcp:{} 7071/tcp:{} 8080/tcp:{} 8081/tcp:{}0 B
57USER model-server0 B
58WORKDIR /home/model-server32 B
59ENV TEMP=/home/model-server/tmp0 B
60ENTRYPOINT ["/usr/local/bin/dockerd-entrypoint.sh"]0 B
61CMD ["serve"]0 B
62ARG BUILD_TYPE0 B
63RUN |1 BUILD_TYPE=dev /bin/sh -c32 B
64USER root0 B
65RUN /bin/sh -c pip install19.55 KB
66COPY requirements.txt requirements.txt # buildkit210 B
67RUN /bin/sh -c pip install235.81 MB
68COPY dockerd-entrypoint.sh /usr/local/bin/dockerd-entrypoint.sh # buildkit296 B
69RUN /bin/sh -c chmod +x296 B
70COPY kserve_wrapper kserve_wrapper # buildkit4.44 KB
71COPY config.properties config.properties # buildkit561 B
72USER model-server0 B
73ENTRYPOINT ["/usr/local/bin/dockerd-entrypoint.sh"]0 B

Command

ADD file:0d82cd095966e8ee78b593cb47a352eec842edb7bd9d9468e8a70154522447d1 in /