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pytorch/torchserve-kfs:0.7.0-gpu

Manifest digest

sha256:6daae3c54cf6b1785c4eb9849c4d1b88adf04625057c4026126b1b6a3cd27f5b

OS/ARCH

linux/amd64

Compressed size

6.58 GB

Last pushed

almost 4 years by pytorchbot

Type

Image

Manifest digest

sha256:6daae3c54cf6b1785c4eb9849c4d1b88adf04625057c4026126b1b6a3cd27f5b

Image Layers

Image Layers

1ADD file ... in / 27.25 MB
2CMD ["bash"]0 B
3ENV NVARCH=x86_640 B
4ENV NVIDIA_REQUIRE_CUDA=cuda>=11.7 brand=tesla,driver>=450,driver<451 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<4710 B
5ENV NV_CUDA_CUDART_VERSION=11.7.60-10 B
6ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-70 B
7ARG TARGETARCH0 B
8LABEL maintainer=NVIDIA CORPORATION <[email protected]>0 B
9RUN |1 TARGETARCH=amd64 /bin/sh -c7.56 MB
10ENV CUDA_VERSION=11.7.00 B
11RUN |1 TARGETARCH=amd64 /bin/sh -c45.66 MB
12RUN |1 TARGETARCH=amd64 /bin/sh -c184 B
13ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin0 B
14ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib640 B
15COPY NGC-DL-CONTAINER-LICENSE / # buildkit6.28 KB
16ENV NVIDIA_VISIBLE_DEVICES=all0 B
17ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility0 B
18ENV NV_CUDA_LIB_VERSION=11.7.0-10 B
19ENV NV_NVTX_VERSION=11.7.50-10 B
20ENV NV_LIBNPP_VERSION=11.7.3.21-10 B
21ENV NV_LIBNPP_PACKAGE=libnpp-11-7=11.7.3.21-10 B
22ENV NV_LIBCUSPARSE_VERSION=11.7.3.50-10 B
23ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-70 B
24ENV NV_LIBCUBLAS_VERSION=11.10.1.25-10 B
25ENV NV_LIBCUBLAS_PACKAGE=libcublas-11-7=11.10.1.25-10 B
26ENV NV_LIBNCCL_PACKAGE_NAME=libnccl20 B
27ENV NV_LIBNCCL_PACKAGE_VERSION=2.13.4-10 B
28ENV NCCL_VERSION=2.13.4-10 B
29ENV NV_LIBNCCL_PACKAGE=libnccl2=2.13.4-1+cuda11.70 B
30ARG TARGETARCH0 B
31LABEL maintainer=NVIDIA CORPORATION <[email protected]>0 B
32RUN |1 TARGETARCH=amd64 /bin/sh -c1.01 GB
33RUN |1 TARGETARCH=amd64 /bin/sh -c60.83 KB
34ENV NV_CUDNN_VERSION=8.5.0.960 B
35ENV NV_CUDNN_PACKAGE_NAME=libcudnn80 B
36ENV NV_CUDNN_PACKAGE=libcudnn8=8.5.0.96-1+cuda11.70 B
37ARG TARGETARCH0 B
38LABEL maintainer=NVIDIA CORPORATION <[email protected]>0 B
39LABEL com.nvidia.cudnn.version=8.5.0.960 B
40RUN |1 TARGETARCH=amd64 /bin/sh -c536.57 MB
41ARG BASE_IMAGE0 B
42ARG BRANCH_NAME=master0 B
43ARG MACHINE_TYPE=cpu0 B
44ARG CUDA_VERSION0 B
45ARG BUILD_WITH_IPEX0 B
46ARG IPEX_VERSION=1.11.00 B
47ARG IPEX_URL=https://software.intel.com/ipex-whl-stable0 B
48ENV PYTHONUNBUFFERED=TRUE0 B
49RUN |7 BASE_IMAGE=nvidia/cuda:11.7.0-cudnn8-runtime-ubuntu20.04 BRANCH_NAME=master MACHINE_TYPE=gpu508.72 MB
50RUN |7 BASE_IMAGE=nvidia/cuda:11.7.0-cudnn8-runtime-ubuntu20.04 BRANCH_NAME=master MACHINE_TYPE=gpu2.87 KB
51ARG MACHINE_TYPE=cpu0 B
52ARG CUDA_VERSION0 B
53RUN |2 MACHINE_TYPE=gpu CUDA_VERSION=cu117 /bin/sh4.24 GB
54EXPOSE map[7070/tcp:{} 7071/tcp:{} 8080/tcp:{} 8081/tcp:{}0 B
55USER model-server0 B
56WORKDIR /home/model-server32 B
57ENV TEMP=/home/model-server/tmp0 B
58ENTRYPOINT ["/usr/local/bin/dockerd-entrypoint.sh"]0 B
59CMD ["serve"]0 B
60ARG BUILD_TYPE0 B
61RUN |1 BUILD_TYPE=dev /bin/sh -c32 B
62USER root0 B
63RUN /bin/sh -c pip install21.31 KB
64COPY requirements.txt requirements.txt # buildkit209 B
65RUN /bin/sh -c pip install238.86 MB
66COPY dockerd-entrypoint.sh /usr/local/bin/dockerd-entrypoint.sh # buildkit291 B
67RUN /bin/sh -c chmod +x32 B
68COPY kserve_wrapper kserve_wrapper # buildkit4.64 KB
69COPY config.properties config.properties # buildkit565 B
70USER model-server0 B
71ENTRYPOINT ["/usr/local/bin/dockerd-entrypoint.sh"]0 B

Command

ADD file:7633003155a1059419aa1a6756fafb6e4f419d65bff7feb7c945de1e29dccb1e in /