mackrorysd/mmdetection:pytorch-17

Manifest digest

sha256:de0c17fb8e209ad4595c6a4162c89812fcc64354013b4e0ebbf8355a45499848

OS/ARCH

linux/amd64

Compressed size

3.89 GB

Last pushed

over 5 years by mackrorysd

Type

Image

Manifest digest

sha256:de0c17fb8e209ad4595c6a4162c89812fcc64354013b4e0ebbf8355a45499848

Image Layers

Image Layers

1ADD file ... in / 25.47 MB

2/bin/sh -c set -xe &&850 B

3/bin/sh -c [ -z "$(apt-get0 B

4/bin/sh -c mkdir -p /run/systemd162 B

5CMD ["/bin/bash"]0 B

6LABEL maintainer=NVIDIA CORPORATION <[email protected]>0 B

7RUN /bin/sh -c apt-get update6.9 MB

8ENV CUDA_VERSION=10.1.2430 B

9ENV CUDA_PKG_VERSION=10-1=10.1.243-10 B

10RUN /bin/sh -c apt-get update8.08 MB

11RUN /bin/sh -c echo "/usr/local/nvidia/lib"187 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

14ENV NVIDIA_VISIBLE_DEVICES=all0 B

15ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility0 B

16

ENV NVIDIA_REQUIRE_CUDA=cuda>=10.1 brand=tesla,driver>=396,driver<397 brand=tesla,driver>=410,driver<411 brand=tesla,driver>=418,driver<419

0 B

17LABEL maintainer=NVIDIA CORPORATION <[email protected]>0 B

18ENV NCCL_VERSION=2.8.30 B

19RUN /bin/sh -c apt-get update633.77 MB

20RUN /bin/sh -c apt-mark hold61.31 KB

21LABEL maintainer=NVIDIA CORPORATION <[email protected]>0 B

22ENV NCCL_VERSION=2.8.30 B

23RUN /bin/sh -c apt-get update772.96 MB

24RUN /bin/sh -c apt-mark hold85.64 KB

25ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs0 B

26LABEL maintainer=NVIDIA CORPORATION <[email protected]>0 B

27ENV CUDNN_VERSION=7.6.5.320 B

28LABEL com.nvidia.cudnn.version=7.6.5.320 B

29RUN /bin/sh -c apt-get update507.75 MB

30/bin/sh -c rm -f /etc/apt/sources.list.d/*200 B

31ENV LANG=C.UTF-8 LC_ALL=C.UTF-8 PIP_NO_CACHE_DIR=10 B

32/bin/sh -c mkdir -p /etc/determined/conda.d168 B

33/bin/sh -c mkdir -p /var/run/sshd146 B

34/bin/sh -c apt-get update &&71.7 MB

35ARG CONDA_DIR=/opt/conda0 B

36ARG CONDA_INSTALLER=Miniconda3-4.7.10-Linux-x86_64.sh0 B

37ARG CONDA_MD5=1c945f2b3335c7b2b15130b1b2dc5cf40 B

38ARG CONDA_URL=https://repo.continuum.io/miniconda0 B

39

ENV CONDA_DIR=/opt/conda PATH=/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin

0 B

40

|3 CONDA_INSTALLER=Miniconda3-4.7.10-Linux-x86_64.sh CONDA_MD5=1c945f2b3335c7b2b15130b1b2dc5cf4 CONDA_URL=https://repo.continuum.io/miniconda /bin/sh

171.18 MB

41ENV PYTHONUNBUFFERED=1 PYTHONFAULTHANDLER=1 PYTHONHASHSEED=00 B

42

|3 CONDA_INSTALLER=Miniconda3-4.7.10-Linux-x86_64.sh CONDA_MD5=1c945f2b3335c7b2b15130b1b2dc5cf4 CONDA_URL=https://repo.continuum.io/miniconda /bin/sh

119.29 MB

43COPY dir:0673acfba34758803ec56b6050dc72fb1805fcdf9dcc83fdfc90e56e26dccb81 in /opt/determined/profiler 2.07 KB

44

|3 CONDA_INSTALLER=Miniconda3-4.7.10-Linux-x86_64.sh CONDA_MD5=1c945f2b3335c7b2b15130b1b2dc5cf4 CONDA_URL=https://repo.continuum.io/miniconda /bin/sh

2.86 MB

45

|3 CONDA_INSTALLER=Miniconda3-4.7.10-Linux-x86_64.sh CONDA_MD5=1c945f2b3335c7b2b15130b1b2dc5cf4 CONDA_URL=https://repo.continuum.io/miniconda /bin/sh

24 MB

46

|3 CONDA_INSTALLER=Miniconda3-4.7.10-Linux-x86_64.sh CONDA_MD5=1c945f2b3335c7b2b15130b1b2dc5cf4 CONDA_URL=https://repo.continuum.io/miniconda /bin/sh

356.49 KB

47

|3 CONDA_INSTALLER=Miniconda3-4.7.10-Linux-x86_64.sh CONDA_MD5=1c945f2b3335c7b2b15130b1b2dc5cf4 CONDA_URL=https://repo.continuum.io/miniconda /bin/sh

2.17 KB

48

|3 CONDA_INSTALLER=Miniconda3-4.7.10-Linux-x86_64.sh CONDA_MD5=1c945f2b3335c7b2b15130b1b2dc5cf4 CONDA_URL=https://repo.continuum.io/miniconda /bin/sh

116.26 MB

49ARG TENSORFLOW_PIP0 B

50ARG TORCH_PIP0 B

51ARG TORCHVISION_PIP0 B

52ARG TENSORPACK_PIP0 B

53

|6 CONDA_INSTALLER=Miniconda3-4.7.10-Linux-x86_64.sh CONDA_MD5=1c945f2b3335c7b2b15130b1b2dc5cf4 CONDA_URL=https://repo.continuum.io/miniconda TENSORFLOW_PIP=tensorflow==2.4.0

419.59 MB

54

|6 CONDA_INSTALLER=Miniconda3-4.7.10-Linux-x86_64.sh CONDA_MD5=1c945f2b3335c7b2b15130b1b2dc5cf4 CONDA_URL=https://repo.continuum.io/miniconda TENSORFLOW_PIP=tensorflow==2.4.0

712.67 MB

55

|6 CONDA_INSTALLER=Miniconda3-4.7.10-Linux-x86_64.sh CONDA_MD5=1c945f2b3335c7b2b15130b1b2dc5cf4 CONDA_URL=https://repo.continuum.io/miniconda TENSORFLOW_PIP=tensorflow==2.4.0

15.07 MB

56

|6 CONDA_INSTALLER=Miniconda3-4.7.10-Linux-x86_64.sh CONDA_MD5=1c945f2b3335c7b2b15130b1b2dc5cf4 CONDA_URL=https://repo.continuum.io/miniconda TENSORFLOW_PIP=tensorflow==2.4.0

0 B

57

|6 CONDA_INSTALLER=Miniconda3-4.7.10-Linux-x86_64.sh CONDA_MD5=1c945f2b3335c7b2b15130b1b2dc5cf4 CONDA_URL=https://repo.continuum.io/miniconda TENSORFLOW_PIP=tensorflow==2.4.0

10.6 KB

58ARG TORCH_CUDA_ARCH_LIST0 B

59ARG APEX_GIT0 B

60

|8 APEX_GIT=https://github.com/determined-ai/apex.git@37cdaf4ad57ab4e7dd9ef13dbed7b29aa939d061 CONDA_INSTALLER=Miniconda3-4.7.10-Linux-x86_64.sh CONDA_MD5=1c945f2b3335c7b2b15130b1b2dc5cf4 CONDA_URL=https://repo.continuum.io/miniconda

8.77 MB

61ARG HOROVOD_WITH_TENSORFLOW=10 B

62ARG HOROVOD_WITH_PYTORCH=10 B

63ARG HOROVOD_WITHOUT_MXNET=10 B

64ARG HOROVOD_GPU_ALLREDUCE=NCCL0 B

65ARG HOROVOD_WITHOUT_MPI=10 B

66ARG HOROVOD_NCCL_HOME=/tmp/det_nccl/build0 B

67ARG HOROVOD_NCCL_LINK=STATIC0 B

68

|15 APEX_GIT=https://github.com/determined-ai/apex.git@37cdaf4ad57ab4e7dd9ef13dbed7b29aa939d061 CONDA_INSTALLER=Miniconda3-4.7.10-Linux-x86_64.sh CONDA_MD5=1c945f2b3335c7b2b15130b1b2dc5cf4 CONDA_URL=https://repo.continuum.io/miniconda

136.95 MB

69

|15 APEX_GIT=https://github.com/determined-ai/apex.git@37cdaf4ad57ab4e7dd9ef13dbed7b29aa939d061 CONDA_INSTALLER=Miniconda3-4.7.10-Linux-x86_64.sh CONDA_MD5=1c945f2b3335c7b2b15130b1b2dc5cf4 CONDA_URL=https://repo.continuum.io/miniconda

30.96 MB

70

|15 APEX_GIT=https://github.com/determined-ai/apex.git@37cdaf4ad57ab4e7dd9ef13dbed7b29aa939d061 CONDA_INSTALLER=Miniconda3-4.7.10-Linux-x86_64.sh CONDA_MD5=1c945f2b3335c7b2b15130b1b2dc5cf4 CONDA_URL=https://repo.continuum.io/miniconda

353 B

71COPY file:d5013f2f51c0773c911ecfb91807df6b2b879ab4540cb36a4d85f948d4c4014d in files/additional-requirements.txt 311 B

72

|15 APEX_GIT=https://github.com/determined-ai/apex.git@37cdaf4ad57ab4e7dd9ef13dbed7b29aa939d061 CONDA_INSTALLER=Miniconda3-4.7.10-Linux-x86_64.sh CONDA_MD5=1c945f2b3335c7b2b15130b1b2dc5cf4 CONDA_URL=https://repo.continuum.io/miniconda

32.33 MB

73COPY file:c5110573d25dacd58ffbefb96e4e3b5c58468800677d2009b7743a2146d43b59 in files/notebook-requirements.txt 170 B

74

|15 APEX_GIT=https://github.com/determined-ai/apex.git@37cdaf4ad57ab4e7dd9ef13dbed7b29aa939d061 CONDA_INSTALLER=Miniconda3-4.7.10-Linux-x86_64.sh CONDA_MD5=1c945f2b3335c7b2b15130b1b2dc5cf4 CONDA_URL=https://repo.continuum.io/miniconda

24.92 MB

75

ENV JUPYTER_CONFIG_DIR=/run/determined/jupyter/config JUPYTER_DATA_DIR=/run/determined/jupyter/data JUPYTER_RUNTIME_DIR=/run/determined/jupyter/runtime

0 B

76

|15 APEX_GIT=https://github.com/determined-ai/apex.git@37cdaf4ad57ab4e7dd9ef13dbed7b29aa939d061 CONDA_INSTALLER=Miniconda3-4.7.10-Linux-x86_64.sh CONDA_MD5=1c945f2b3335c7b2b15130b1b2dc5cf4 CONDA_URL=https://repo.continuum.io/miniconda

28.23 KB

77COPY dir:754f9c82c4ec79624cd6a9b1c53df08a819a0d2c9814c579b82905aa19297f95 in /tmp/libnss_determined 9.82 KB

78

|15 APEX_GIT=https://github.com/determined-ai/apex.git@37cdaf4ad57ab4e7dd9ef13dbed7b29aa939d061 CONDA_INSTALLER=Miniconda3-4.7.10-Linux-x86_64.sh CONDA_MD5=1c945f2b3335c7b2b15130b1b2dc5cf4 CONDA_URL=https://repo.continuum.io/miniconda

8.47 KB

79ENV TORCH_CUDA_ARCH_LIST=6.0 6.1 7.0+PTX0 B

80ENV TORCH_NVCC_FLAGS=-Xfatbin -compress-all0 B

81ENV CMAKE_PREFIX_PATH=$(dirname $(which conda))/../0 B

82/bin/sh -c apt-get update &&38.33 MB

83/bin/sh -c pip install mmcv-full73.46 MB

84/bin/sh -c conda clean --all2.2 KB

85/bin/sh -c git clone https://github.com/open-mmlab/mmdetection.git23.79 MB

86WORKDIR /mmdetection0 B

87ENV FORCE_CUDA=10 B

88/bin/sh -c pip install -r2.63 MB

89/bin/sh -c pip install --no-cache-dir312.94 KB

90/bin/sh -c pip install determined365.75 KB

Command

ADD file:6ef542de9959c3061f2d0758adb031e226b221a1a2cd748ff59e6fc13216a1c0 in /