Sign inSign up

adlinksec/train-yolo:latest

Manifest digest

sha256:2f3bae421e411c1a5e7499cf08baf93f07902a5824151937420a19eb0a51b2c1

OS/ARCH

linux/amd64

Compressed size

2.57 GB

Last pushed

over 4 years by adlinksec

Type

Image

Manifest digest

sha256:2f3bae421e411c1a5e7499cf08baf93f07902a5824151937420a19eb0a51b2c1

Image Layers

Image Layers

1ADD file ... in / 25.47 MB
2CMD ["bash"]0 B
3ENV NVARCH=x86_640 B
4ENV NVIDIA_REQUIRE_CUDA=cuda>=11.3 brand=tesla,driver>=418,driver<419 brand=tesla,driver>=440,driver<441 driver>=4500 B
5ENV NV_CUDA_CUDART_VERSION=11.3.109-10 B
6ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-30 B
7ENV NV_ML_REPO_ENABLED=10 B
8ENV NV_ML_REPO_URL=https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_640 B
9ARG TARGETARCH0 B
10LABEL maintainer=NVIDIA CORPORATION <[email protected]>0 B
11RUN |1 TARGETARCH=amd64 /bin/sh -c6.88 MB
12ENV CUDA_VERSION=11.3.10 B
13RUN |1 TARGETARCH=amd64 /bin/sh -c10.79 MB
14RUN |1 TARGETARCH=amd64 /bin/sh -c184 B
15ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin0 B
16ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib640 B
17COPY NGC-DL-CONTAINER-LICENSE / # buildkit6.28 KB
18ENV NVIDIA_VISIBLE_DEVICES=all0 B
19ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility0 B
20ENV NV_CUDA_LIB_VERSION=11.3.1-10 B
21ENV NV_NVTX_VERSION=11.3.109-10 B
22ENV NV_LIBNPP_VERSION=11.3.3.95-10 B
23ENV NV_LIBNPP_PACKAGE=libnpp-11-3=11.3.3.95-10 B
24ENV NV_LIBCUSPARSE_VERSION=11.6.0.109-10 B
25ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-30 B
26ENV NV_LIBCUBLAS_VERSION=11.5.1.109-10 B
27ENV NV_LIBCUBLAS_PACKAGE=libcublas-11-3=11.5.1.109-10 B
28ENV NV_LIBNCCL_PACKAGE_NAME=libnccl20 B
29ENV NV_LIBNCCL_PACKAGE_VERSION=2.9.9-10 B
30ENV NCCL_VERSION=2.9.9-10 B
31ENV NV_LIBNCCL_PACKAGE=libnccl2=2.9.9-1+cuda11.30 B
32ARG TARGETARCH0 B
33LABEL maintainer=NVIDIA CORPORATION <[email protected]>0 B
34RUN |1 TARGETARCH=amd64 /bin/sh -c973.71 MB
35RUN |1 TARGETARCH=amd64 /bin/sh -c62.12 KB
36ENV NV_CUDNN_VERSION=8.2.0.530 B
37ENV NV_CUDNN_PACKAGE=libcudnn8=8.2.0.53-1+cuda11.30 B
38ENV NV_CUDNN_PACKAGE_NAME=libcudnn80 B
39ARG TARGETARCH0 B
40LABEL maintainer=NVIDIA CORPORATION <[email protected]>0 B
41LABEL com.nvidia.cudnn.version=8.2.0.530 B
42RUN |1 TARGETARCH=amd64 /bin/sh -c751.39 MB
43ENV DEBIAN_FRONTEND=noninteractive0 B
44COPY file:5200dd572b065260c5efaf72cc9c29ebcfde714c054ac02af20167dad99e148e in /usr/local/bin/darknet 3.02 MB
45COPY dir:be0c81c66f7a95f19391d4bd39a986cf26890b200f8419af1089709c173cde76 in /opt/intel/openvino/deployment_tools/model_optimizer 655.95 KB
46/bin/sh -c cd /tmp &&834.03 MB
47/bin/sh -c cd / &&30.04 MB
48COPY file:7dc0fc58607d2ae03e52932d5e05d1e94f22b687c77f115cd6042170d9c2551e in /check.py 1.07 KB
49COPY file:c785010d4eea211b899312279a6fc3bf6e0ba9ece7862048ac598ae4929b781c in /entrypoint.sh 1.21 KB
50COPY file:d2317ad48b9cd5b7767cc918519fd67ea9299dfd0569707514856ba0ab9c07d3 in /train.sh 2.52 KB
51ENTRYPOINT ["/entrypoint.sh"]0 B

Command

ADD file:425a053fd043786e9454fb269d4c93c624550fb913a8c96d03ddd430b4e6c1c3 in /