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vykozlov/tf-benchmarks:1.10custom-gpu

Manifest digest

sha256:f04297e64fe9310f42ca1d6f598a86f7848e5c00c6826ed845548b2e8e095cf7

OS/ARCH

linux/amd64

Compressed size

1.24 GB

Last pushed

almost 8 years by vykozlov

Type

Image

Manifest digest

sha256:f04297e64fe9310f42ca1d6f598a86f7848e5c00c6826ed845548b2e8e095cf7

Image Layers

Image Layers

1ADD file ... in / 41.03 MB
2/bin/sh -c set -xe &&847 B
3/bin/sh -c rm -rf /var/lib/apt/lists/*619 B
4/bin/sh -c sed -i 's/^#\s*\(deb.*universe\)$/\1/g'854 B
5/bin/sh -c mkdir -p /run/systemd170 B
6CMD ["/bin/bash"]0 B
7LABEL maintainer=NVIDIA CORPORATION <[email protected]>0 B
8/bin/sh -c NVIDIA_GPGKEY_SUM=d1be581509378368edeec8c1eb2958702feedf3bc3d17011adbf24efacce4ab5 && 12.94 KB
9ENV CUDA_VERSION=9.0.1760 B
10ENV CUDA_PKG_VERSION=9-0=9.0.176-10 B
11/bin/sh -c apt-get update &&358.19 KB
12LABEL com.nvidia.volumes.needed=nvidia_driver0 B
13LABEL com.nvidia.cuda.version=9.0.1760 B
14/bin/sh -c echo "/usr/local/nvidia/lib" >>182 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
17ENV NVIDIA_VISIBLE_DEVICES=all0 B
18ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility0 B
19ENV NVIDIA_REQUIRE_CUDA=cuda>=9.00 B
20LABEL com.nvidia.build.id=63756748 com.nvidia.build.ref=2b1c8edf8d79830ad811baff9630adb3bcb5db460 B
21LABEL maintainer=Valentin Kozlov <[email protected]>0 B
22LABEL maintainer=Valentin Kozlov0 B
23ENV CUDA_VERSION=9.0.1760 B
24ENV CUDA_PKG_VERSION=9-0=9.0.176-10 B
25/bin/sh -c NVIDIA_GPGKEY_SUM=d1be581509378368edeec8c1eb2958702feedf3bc3d17011adbf24efacce4ab5 && 309 B
26/bin/sh -c apt-get update &&666.61 MB
27/bin/sh -c ln -s /usr/bin/python3152 B
28/bin/sh -c curl -O https://bootstrap.pypa.io/get-pip.py93.22 MB
29COPY file:e985fd5e7b1f38c61a0d75d971b6f924ab661c4166332aa560f753d35107fba5 in / 211.81 MB
30/bin/sh -c pip --no-cache-dir install247.71 MB
31ENV LD_LIBRARY_PATH=/usr/local/cuda/extras/CUPTI/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib640 B
32WORKDIR /benchmarks133 B
33/bin/sh -c git clone https://github.com/vykozlov/tf-benchmarks121.73 KB
34ENV WEBLECUN=http://yann.lecun.com/exdb/mnist0 B
35ENV MNISTDOCKER=/benchmarks/datasets/mnist/input_data0 B
36/bin/sh -c curl -o ${MNISTDOCKER}/train-images-idx3-ubyte.gz11.06 MB
37CMD ["python" "benchmark_alexnet.py"]0 B

Command

ADD file:4c266e490f4101f9726598288c14131a75242836f3eda375923ef1677ea8ab8e in /