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jadehh/algorithm:v1.1

Manifest digest

sha256:abebd30dedc8813891ff3faee3307ec544adbef259d85c58bdc5803b2e04fd6f

OS/ARCH

linux/amd64

Compressed size

1.51 GB

Last pushed

over 1 year by jadehh

Type

Image

Manifest digest

sha256:abebd30dedc8813891ff3faee3307ec544adbef259d85c58bdc5803b2e04fd6f

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 -c185 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=8.2.4.15-10 B
35ENV NV_CUDNN_VERSION=8.2.4.150 B
36ENV NV_CUDNN_PACKAGE_NAME=libcudnn80 B
37ENV NV_CUDNN_PACKAGE=libcudnn8=8.2.4.15-1+cuda10.20 B
38ARG TARGETARCH0 B
39LABEL maintainer=NVIDIA CORPORATION <[email protected]>0 B
40ENV CUDNN_VERSION=8.2.4.150 B
41LABEL com.nvidia.cudnn.version=8.2.4.150 B
42RUN |1 TARGETARCH=amd64 /bin/sh -c401.01 MB
43ARG CUDA_VERSION0 B
44ARG CUDNN_VERSION0 B
45ARG CUDA_ARCH_BIN0 B
46ARG PYTHON_VERSION0 B
47MAINTAINER [email protected]0 B
48ENV LANG=C.UTF-80 B
49RUN |4 CUDA_VERSION=10.2 CUDNN_VERSION=8 CUDA_ARCH_BIN=7.532 B
50RUN |4 CUDA_VERSION=10.2 CUDNN_VERSION=8 CUDA_ARCH_BIN=7.532 B
51RUN |4 CUDA_VERSION=10.2 CUDNN_VERSION=8 CUDA_ARCH_BIN=7.5158 B
52RUN |4 CUDA_VERSION=10.2 CUDNN_VERSION=8 CUDA_ARCH_BIN=7.5280 B
53RUN |4 CUDA_VERSION=10.2 CUDNN_VERSION=8 CUDA_ARCH_BIN=7.52.52 KB
54RUN |4 CUDA_VERSION=10.2 CUDNN_VERSION=8 CUDA_ARCH_BIN=7.549.42 MB
55RUN |4 CUDA_VERSION=10.2 CUDNN_VERSION=8 CUDA_ARCH_BIN=7.5847.84 KB
56RUN |4 CUDA_VERSION=10.2 CUDNN_VERSION=8 CUDA_ARCH_BIN=7.54.99 MB
57RUN |4 CUDA_VERSION=10.2 CUDNN_VERSION=8 CUDA_ARCH_BIN=7.5143 B
58RUN |4 CUDA_VERSION=10.2 CUDNN_VERSION=8 CUDA_ARCH_BIN=7.5702 B
59RUN |4 CUDA_VERSION=10.2 CUDNN_VERSION=8 CUDA_ARCH_BIN=7.5150 B
60RUN |4 CUDA_VERSION=10.2 CUDNN_VERSION=8 CUDA_ARCH_BIN=7.5114 B
61RUN |4 CUDA_VERSION=10.2 CUDNN_VERSION=8 CUDA_ARCH_BIN=7.5147 B
62RUN |4 CUDA_VERSION=10.2 CUDNN_VERSION=8 CUDA_ARCH_BIN=7.532 B
63RUN |4 CUDA_VERSION=10.2 CUDNN_VERSION=8 CUDA_ARCH_BIN=7.532 B
64RUN |4 CUDA_VERSION=10.2 CUDNN_VERSION=8 CUDA_ARCH_BIN=7.5159.53 MB
65RUN |4 CUDA_VERSION=10.2 CUDNN_VERSION=8 CUDA_ARCH_BIN=7.5175 B
66RUN |4 CUDA_VERSION=10.2 CUDNN_VERSION=8 CUDA_ARCH_BIN=7.510.17 MB
67RUN |4 CUDA_VERSION=10.2 CUDNN_VERSION=8 CUDA_ARCH_BIN=7.5147 B
68RUN |4 CUDA_VERSION=10.2 CUDNN_VERSION=8 CUDA_ARCH_BIN=7.532 B
69RUN |4 CUDA_VERSION=10.2 CUDNN_VERSION=8 CUDA_ARCH_BIN=7.516.54 MB
70MAINTAINER [email protected]0 B
71RUN /bin/sh -c wget https://files.pythonhosted.org/packages/a4/bc/d21b6820c6fc4824014b7e88eb2e5149fb4123126979a7d455304c5248d0/onnxruntime_gpu-1.14.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl131 MB
72RUN /bin/sh -c wget https://github.com/jadehh/pythonTools/releases/download/JadeV1.9.7/aksusbd_8.51-1_amd64.deb10.06 MB
73RUN /bin/sh -c wget https://github.com/jadehh/pythonTools/releases/download/JadeV1.9.7/hasplm.ini1.09 KB

Command

ADD file:425a053fd043786e9454fb269d4c93c624550fb913a8c96d03ddd430b4e6c1c3 in /