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pytorch/torchserve-kfs:0.6.0-gpu

Manifest digest

sha256:f072a19ea14c1b2f9a8c250097ed0861c6af51afdf517834add9b58581007843

OS/ARCH

linux/amd64

Compressed size

3.92 GB

Last pushed

over 4 years by pytorchbot

Type

Image

Manifest digest

sha256:f072a19ea14c1b2f9a8c250097ed0861c6af51afdf517834add9b58581007843

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
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 -c186 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=2.12.10-10 B
26ENV NCCL_VERSION=2.12.100 B
27ENV NV_LIBNCCL_PACKAGE=libnccl2=2.12.10-1+cuda10.20 B
28ARG TARGETARCH0 B
29LABEL maintainer=NVIDIA CORPORATION <[email protected]>0 B
30RUN |1 TARGETARCH=amd64 /bin/sh -c724.55 MB
31RUN |1 TARGETARCH=amd64 /bin/sh -c61.32 KB
32ENV NV_CUDNN_PACKAGE_VERSION=8.4.0.27-10 B
33ENV NV_CUDNN_VERSION=8.4.0.270 B
34ENV NV_CUDNN_PACKAGE_NAME=libcudnn80 B
35ENV NV_CUDNN_PACKAGE=libcudnn8=8.4.0.27-1+cuda10.20 B
36ARG TARGETARCH0 B
37LABEL maintainer=NVIDIA CORPORATION <[email protected]>0 B
38ENV CUDNN_VERSION=8.4.0.270 B
39LABEL com.nvidia.cudnn.version=8.4.0.270 B
40RUN |1 TARGETARCH=amd64 /bin/sh -c350.37 MB
41ARG BASE_IMAGE0 B
42ARG BRANCH_NAME=master0 B
43ARG MACHINE_TYPE=cpu0 B
44ARG BRANCH_NAME_KF=master0 B
45ENV PYTHONUNBUFFERED=TRUE0 B
46RUN |4 BASE_IMAGE=nvidia/cuda:10.2-cudnn8-runtime-ubuntu18.04 BRANCH_NAME=master MACHINE_TYPE=gpu490.64 MB
47RUN |4 BASE_IMAGE=nvidia/cuda:10.2-cudnn8-runtime-ubuntu18.04 BRANCH_NAME=master MACHINE_TYPE=gpu8.82 MB
48ARG MACHINE_TYPE=cpu0 B
49ARG CUDA_VERSION0 B
50RUN |2 MACHINE_TYPE=gpu CUDA_VERSION=cu102 /bin/sh2.35 GB
51EXPOSE map[8080/tcp:{} 8081/tcp:{} 8082/tcp:{}]0 B
52USER model-server0 B
53WORKDIR /home/model-server32 B
54ENV TEMP=/home/model-server/tmp0 B
55ENTRYPOINT ["/usr/local/bin/dockerd-entrypoint.sh"]0 B
56ARG BUILD_TYPE0 B
57RUN |1 BUILD_TYPE=dev /bin/sh -c32 B

Command

ADD file:f657a56a18426c3a88d620a7024e7b91424d926e7b47faa6a97c2369c4c4a228 in /