fluxcapacitor/predict-tensorflow-mnist-cpu:1505244790

Manifest digest

sha256:ef7fd9b58d86b268b6bc707842d2e1c0daff0a5aab732ca78a383b9005233b7a

OS/ARCH

linux/amd64

Compressed size

1.89 GB

Last pushed

about 9 years by cfregly

Type

Image

Manifest digest

sha256:ef7fd9b58d86b268b6bc707842d2e1c0daff0a5aab732ca78a383b9005233b7a

Image Layers

Image Layers

1ADD file ... in / 49.33 MB

2/bin/sh -c set -xe &&813 B

3/bin/sh -c rm -rf /var/lib/apt/lists/*512 B

4/bin/sh -c sed -i 's/^#\s*$deb.*universe$$/\1/g'672 B

5/bin/sh -c mkdir -p /run/systemd161 B

6CMD ["/bin/bash"]0 B

7/bin/sh -c apt-get update 215.86 MB

8/bin/sh -c pip install --upgrade3.26 MB

9COPY file:a5d8bf398606db8f1cf4c6b532b442f60ff8091053633358c98a42bbfc1d1c90 in sysutils/container-limits.sh 848 B

10WORKDIR /root0 B

11ENV TERM=xterm0 B

12/bin/sh -c apt-get update 88.35 MB

13ENV JAVA_HOME=/usr/lib/jvm/java-8-openjdk-amd64/0 B

14ENV SHELL=/bin/bash0 B

15/bin/sh -c rm /bin/sh 124 B

16/bin/sh -c echo "deb https://dl.bintray.com/sbt/debian30.35 MB

17/bin/sh -c wget -q https://repo.continuum.io/miniconda/Miniconda3-4.3.21-Linux-x86_64.sh82.57 MB

18ENV PATH=/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin0 B

19/bin/sh -c pip install --upgrade0 B

20/bin/sh -c apt-get install -y594.33 KB

21/bin/sh -c conda install -c11.32 MB

22/bin/sh -c apt-get install -y5.05 MB

23/bin/sh -c service nginx start273 B

24COPY dir:1c42b31429a7bd3a9fcaebfbc41210523105fa92a18debe0248ee327858cda10 in config/ 6.89 KB

25/bin/sh -c mv /etc/nginx/sites-available/default /etc/nginx/sites-available/default.orig1.23 KB

26ENV PROMETHEUS_VERSION=1.7.10 B

27

/bin/sh -c wget https://github.com/prometheus/prometheus/releases/download/v$PROMETHEUS_VERSION/prometheus-$PROMETHEUS_VERSION.linux-amd64.tar.gz

16.29 MB

28

/bin/sh -c mv /root/prometheus-$PROMETHEUS_VERSION.linux-amd64/prometheus.yml /root/prometheus-$PROMETHEUS_VERSION.linux-amd64/prometheus.yml.orig

735 B

29ENV PATH=/root/prometheus-1.7.1.linux-amd64/:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin0 B

30ENV GRAFANA_VERSION=4.4.30 B

31/bin/sh -c wget https://s3-us-west-2.amazonaws.com/grafana-releases/release/grafana-$GRAFANA_VERSION.linux-x64.tar.gz 45.05 MB

32

ENV PATH=/root/grafana-4.4.3/bin:/root/prometheus-1.7.1.linux-amd64/:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin

0 B

33/bin/sh -c cd /root/grafana-$GRAFANA_VERSION/conf 211 B

34/bin/sh -c mkdir -p /root/logs116 B

35ENV LOGS_HOME=/root/logs0 B

36COPY dir:e358ff8f0d7b8bb6ee47b124159cff0f38065d9f995a2f7b58b36820c2f71140 in sysutils/ 2.14 KB

37ENV PIPELINE_JVM_MODEL_SERVER_PATH=/root/jvm0 B

38COPY dir:0f0acc7bee0ab191a0242962fff8d5bcc68d2a0df65a2bf36d4f34d01d6dfa4d in jvm/ 43.68 MB

39/bin/sh -c cd $PIPELINE_JVM_MODEL_SERVER_PATH &&210.84 MB

40ENV CONFLUENT_VERSION=3.3.0 CONFLUENT_MAJOR_VERSION=3.30 B

41ENV CONFLUENT_HOME=/root/confluent-3.3.00 B

42

ENV PATH=/root/confluent-3.3.0/bin:/root/grafana-4.4.3/bin:/root/prometheus-1.7.1.linux-amd64/:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin

0 B

43

/bin/sh -c wget http://packages.confluent.io/archive/${CONFLUENT_MAJOR_VERSION}/confluent-oss-${CONFLUENT_VERSION}-2.11.tar.gz

320.98 MB

44/bin/sh -c git clone https://github.com/edenhill/librdkafka.git32.32 MB

45ENV PIPELINE_WEBSOCKET_KAFKA_SERVER_PATH=/root/src/main/python/kafka0 B

46ENV PIPELINE_WEBSOCKET_KAFKA_SERVER_PORT=59590 B

47ENV PIPELINE_WEBSOCKET_KAFKA_SERVER_UPDATE_INTERVAL=10000 B

48/bin/sh -c ldconfig8.62 KB

49ENV PIPELINE_MODEL_SERVER_PATH=/root/src/main/python/model_server0 B

50ENV PIPELINE_MODEL_SERVER_PORT=98760 B

51ENV PIPELINE_MODEL_SERVER_PROMETHEUS_PORT=90400 B

52ENV PIPELINE_MODEL_SERVER_TENSORFLOW_SERVING_PORT=90000 B

53ENV PIPELINE_MODEL_SERVER_TENSORFLOW_SERVING_REQUEST_BATCHING=true0 B

54/bin/sh -c echo "" 14.7 MB

55/bin/sh -c pip install git+https://github.com/wintoncode/winton-kafka-streams.git309.7 KB

56ENV TENSORBOARD_VERSION=0.1.5 TENSORBOARD_LOGDIR=/root/logs/tensorboard0 B

57/bin/sh -c pip install tensorflow-tensorboard==$TENSORBOARD_VERSION53.41 MB

58ENV TF_CPP_MIN_LOG_LEVEL=00 B

59/bin/sh -c wget https://storage.googleapis.com/kubernetes-release/release/v1.7.5/bin/linux/amd64/kubectl 15.99 MB

60/bin/sh -c curl -fsSL get.docker.com33.96 MB

61/bin/sh -c pip install pipeline-ai-cli==0.6010.87 MB

62COPY dir:5da81a3bb7cb67079de93662f53d08483d130bd235307aeedb424e03b079b7dd in /var/www/html/ 7.1 MB

63COPY file:92a24565ef718dd90e10b7c04aae1fdd2008a32747eca028fd588dbaaf2e754e in run 1.66 KB

64ARG model_type0 B

65|1 model_type=tensorflow /bin/sh -c echo0 B

66ENV PIPELINE_MODEL_TYPE=tensorflow0 B

67ARG model_name0 B

68|2 model_name=mnist model_type=tensorflow /bin/sh -c0 B

69ENV PIPELINE_MODEL_NAME=mnist0 B

70ARG model_chip0 B

71|3 model_chip=cpu model_name=mnist model_type=tensorflow /bin/sh0 B

72ENV PIPELINE_MODEL_CHIP=cpu0 B

73|3 model_chip=cpu model_name=mnist model_type=tensorflow /bin/sh203 B

74ARG model_tag0 B

75|3 model_chip=cpu model_name=mnist model_type=tensorflow /bin/sh0 B

76ARG model_path0 B

77|4 model_chip=cpu model_name=mnist model_path=./model_drops/tensorflow/mnist/1505244790 model_type=tensorflow0 B

78ENV PIPELINE_MODEL_PATH=/root/model0 B

79COPY dir:89549a1310b0f038455d28a0cec87f3529af701bf89ef5f957c6810f0a88453d in /root/model 207.78 KB

80COPY dir:41c4442ac0c96661cdf6f6e91826efe4a9b00037e80471514e98a0a9d6f50205 in drop/ 412.05 MB

81ENV PIPELINE_DROP_SERVER_PATH=/root/src/main/python/drop0 B

82ENV PIPELINE_DROP_PATH=/root/drop0 B

83|4 model_chip=cpu model_name=mnist model_path=./model_drops/tensorflow/mnist/1505244790 model_type=tensorflow0 B

84ENV PIPELINE_DROP_SERVER_PORT=98770 B

85ENV PIPELINE_CONDA_ENV_NAME=pipeline0 B

86COPY dir:34b9de92edef7df7a7003670d1954a5e3b2ffdd7668570b41458a239f4c9df60 in scripts/ 1.67 KB

87COPY dir:2a656b4a5b41787733ca7cdabc3a4785d5dee3130699ead6db6700a822822a59 in src/ 6.86 KB

88|4 model_chip=cpu model_name=mnist model_path=./model_drops/tensorflow/mnist/1505244790 model_type=tensorflow229.61 MB

89|4 model_chip=cpu model_name=mnist model_path=./model_drops/tensorflow/mnist/1505244790 model_type=tensorflow0 B

90EXPOSE 2181/tcp 3000/tcp 5959/tcp0 B

91CMD ["supervise" "."]0 B

Command

ADD file:efb254bc677d66d6af39893698d55c79bf13f4daee5053601c5c17df91657e6e in /