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pytorch/torchserve-kfs:0.6.1-gpu

Manifest digest

sha256:ee436e1f801dc207366ae0dc647a82e911919e1e40a5b36ae352eaf29f44beae

OS/ARCH

linux/amd64

Compressed size

4.12 GB

Last pushed

almost 4 years by pytorchbot

Type

Image

Manifest digest

sha256:ee436e1f801dc207366ae0dc647a82e911919e1e40a5b36ae352eaf29f44beae

Image Layers

Image Layers

1ADD file ... in / 25.48 MB
2CMD ["bash"]0 B
3ENV NVARCH=x86_640 B
4ENV NVIDIA_REQUIRE_CUDA=cuda>=10.2 brand=tesla,driver>=418,driver<4190 B
5ENV NV_CUDA_CUDART_VERSION=10.2.89-10 B
6ARG TARGETARCH0 B
7LABEL maintainer=NVIDIA CORPORATION <[email protected]>0 B
8RUN |1 TARGETARCH=amd64 /bin/sh -c6.88 MB
9ENV CUDA_VERSION=10.2.890 B
10RUN |1 TARGETARCH=amd64 /bin/sh -c9.1 MB
11RUN |1 TARGETARCH=amd64 /bin/sh -c185 B
12ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin0 B
13ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib640 B
14COPY NGC-DL-CONTAINER-LICENSE / # buildkit6.28 KB
15ENV NVIDIA_VISIBLE_DEVICES=all0 B
16ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility0 B
17ENV NV_CUDA_LIB_VERSION=10.2.89-10 B
18ENV NV_NVTX_VERSION=10.2.89-10 B
19ENV NV_LIBNPP_VERSION=10.2.89-10 B
20ENV NV_LIBCUSPARSE_VERSION=10.2.89-10 B
21ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas100 B
22ENV NV_LIBCUBLAS_VERSION=10.2.2.89-10 B
23ENV NV_LIBCUBLAS_PACKAGE=libcublas10=10.2.2.89-10 B
24ENV NV_LIBNCCL_PACKAGE_NAME=libnccl20 B
25ENV NV_LIBNCCL_PACKAGE_VERSION=2.15.5-10 B
26ENV NCCL_VERSION=2.15.50 B
27ENV NV_LIBNCCL_PACKAGE=libnccl2=2.15.5-1+cuda10.20 B
28ARG TARGETARCH0 B
29LABEL maintainer=NVIDIA CORPORATION <[email protected]>0 B
30RUN |1 TARGETARCH=amd64 /bin/sh -c733.1 MB
31RUN |1 TARGETARCH=amd64 /bin/sh -c61.28 KB
32ENV NV_CUDNN_PACKAGE_VERSION=8.6.0.163-10 B
33ENV NV_CUDNN_VERSION=8.6.0.1630 B
34ENV NV_CUDNN_PACKAGE_NAME=libcudnn80 B
35ENV NV_CUDNN_PACKAGE=libcudnn8=8.6.0.163-1+cuda10.20 B
36ARG TARGETARCH0 B
37LABEL maintainer=NVIDIA CORPORATION <[email protected]>0 B
38ENV CUDNN_VERSION=8.6.0.1630 B
39LABEL com.nvidia.cudnn.version=8.6.0.1630 B
40RUN |1 TARGETARCH=amd64 /bin/sh -c317.43 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:10.2-cudnn8-runtime-ubuntu18.04 BRANCH_NAME=master MACHINE_TYPE=gpu545.99 MB
50RUN |7 BASE_IMAGE=nvidia/cuda:10.2-cudnn8-runtime-ubuntu18.04 BRANCH_NAME=master MACHINE_TYPE=gpu2.71 KB
51ARG MACHINE_TYPE=cpu0 B
52ARG CUDA_VERSION0 B
53RUN |2 MACHINE_TYPE=gpu CUDA_VERSION=cu102 /bin/sh2.29 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 install21.3 KB
64COPY requirements.txt requirements.txt # buildkit208 B
65RUN /bin/sh -c pip install238.74 MB
66COPY dockerd-entrypoint.sh /usr/local/bin/dockerd-entrypoint.sh # buildkit292 B
67RUN /bin/sh -c chmod +x32 B
68COPY kserve_wrapper kserve_wrapper # buildkit4.76 KB
69COPY config.properties config.properties # buildkit565 B
70USER model-server0 B
71ENTRYPOINT ["/usr/local/bin/dockerd-entrypoint.sh"]0 B

Command

ADD file:fc5d658c47ede58827812b75a311353be776e41e2dd339b8906839527c9b5247 in /