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marksaroufim/torchserve:0.6.0-gpu

Manifest digest

sha256:dc1b3f684a13039e52e4990c0adeb358aecccd0c89523991236dd8fdd55283b1

OS/ARCH

linux/amd64

Compressed size

3.83 GB

Last pushed

about 4 years by marksaroufim

Type

Image

Manifest digest

sha256:dc1b3f684a13039e52e4990c0adeb358aecccd0c89523991236dd8fdd55283b1

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>=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 -c183 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 -c61.31 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 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=gpu507.22 MB
50RUN |7 BASE_IMAGE=nvidia/cuda:10.2-cudnn8-runtime-ubuntu18.04 BRANCH_NAME=master MACHINE_TYPE=gpu2.73 KB
51ARG MACHINE_TYPE=cpu0 B
52ARG CUDA_VERSION0 B
53RUN |2 MACHINE_TYPE=gpu CUDA_VERSION=cu102 /bin/sh2.24 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

Command

ADD file:f657a56a18426c3a88d620a7024e7b91424d926e7b47faa6a97c2369c4c4a228 in /