sub-mod

$ python build_image.py --tf_version=1.13.1 --platform=cpu tf_notebook
CONTAINER ID        IMAGE               COMMAND             CREATED             STATUS              PORTS               NAMES
INFO|2019-06-06T23:48:38|build_image.py|71| docker daemon ready.

INFO|2019-06-06T23:48:38|build_image.py|25| Running: docker build --pull --build-arg INSTALL_TFMA=yes --build-arg TF_PACKAGE=http://file.rdu.redhat.com/smodeel/thoth/tensorflow-1.13.1-cp36-cp36m-linux_x86_64.whl --build-arg BASE_IMAGE=ubuntu:18.04@sha256:de774a3145f7ca4f0bd144c7d4ffb2931e06634f11529653b23eba85aef8e378 --build-arg TF_PACKAGE_PY_27=http://file.rdu.redhat.com/smodeel/thoth/tensorflow-1.13.1-cp27-none-linux_x86_64.whl -t gcr.io/kubeflow-images-public/tensorflow-1.13.1-notebook-cpu:latest -f Dockerfile . 
cwd=/Users/subin/development/kubeflow/kubeflow/components/tensorflow-notebook-image
INFO|2019-06-06T23:48:38|build_image.py|40| Subprocess output:

INFO|2019-06-06T23:48:39|build_image.py|46| Sending build context to Docker daemon   19.9M

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bash-4.1# auditwheel show /input/tensorflow-1.13.1-cp27-none-linux_x86_64.whl 

tensorflow-1.13.1-cp27-none-linux_x86_64.whl is consistent with the
following platform tag: "manylinux2010_x86_64".

The wheel references external versioned symbols in these system-
provided shared libraries: libc.so.6 with versions {'GLIBC_2.2.5',
'GLIBC_2.3.4', 'GLIBC_2.6', 'GLIBC_2.7', 'GLIBC_2.10', 'GLIBC_2.3',
'GLIBC_2.3.2', 'GLIBC_2.9', 'GLIBC_2.4', 'GLIBC_2.11'}, libstdc++.so.6
with versions {'CXXABI_1.3.3', 'GLIBCXX_3.4.10', 'GLIBCXX_3.4',

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diff --git a/tensorflow/tensorflow.bzl b/tensorflow/tensorflow.bzl
index d93e0df..8825820 100644
--- a/tensorflow/tensorflow.bzl
+++ b/tensorflow/tensorflow.bzl
@@ -377,7 +377,7 @@ def tf_cc_shared_object(
         srcs = [],
         deps = [],
         data = [],
-        linkopts = [],
+        linkopts = ['-lrt'],

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bash-4.1# auditwheel show tensorflow-gpu-1.13.1-cp
tensorflow-gpu-1.13.1-cp27-none-linux_x86_64.whl   tensorflow-gpu-1.13.1-cp36-cp36m-linux_x86_64.whl
bash-4.1# auditwheel show tensorflow-gpu-1.13.1-cp36-cp36m-linux_x86_64.whl 

tensorflow-gpu-1.13.1-cp36-cp36m-linux_x86_64.whl is consistent with
the following platform tag: "linux_x86_64".

The wheel references external versioned symbols in these system-
provided shared libraries: librt.so.1 with versions {'GLIBC_2.2.5'},
libgcc_s.so.1 with versions {'GCC_3.0'}, libcudart.so.10.0 with

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Install kustomize

opsys=linux  # or darwin, or windows
curl -s https://api.github.com/repos/kubernetes-sigs/kustomize/releases/latest |\
  grep browser_download |\
  grep $opsys |\
  cut -d '"' -f 4 |\
  xargs curl -O -L
mv kustomize_*_${opsys}_amd64 kustomize  
chmod u+x kustomize  

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/Volumes/Samsung_T5/development/TEST_SSD$ time git clone https://github.com/openshift/origin.git
Cloning into 'origin'...
remote: Enumerating objects: 53, done.
remote: Counting objects: 100% (53/53), done.
remote: Compressing objects: 100% (49/49), done.
remote: Total 533223 (delta 7), reused 9 (delta 4), pack-reused 533170
Receiving objects: 100% (533223/533223), 976.50 MiB | 9.93 MiB/s, done.
Resolving deltas: 100% (339788/339788), done.
Checking connectivity... done.

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$ docker version
Client: Docker Engine - Community
 Version:           18.09.1
 API version:       1.39
 Go version:        go1.10.6
 Git commit:        4c52b90
 Built:             Wed Jan  9 19:33:12 2019
 OS/Arch:           darwin/amd64
 Experimental:      false

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#set root password if not set
sudo passwd

sudo yum update -y

sudo vi /etc/ssh/sshd_config 
Make sure below 2 lines exists with yes
PermitEmptyPasswords yes
PasswordAuthentication yes

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from openshift.dynamic import DynamicClient
from kubernetes.client import Configuration, ApiClient

from kubernetes.config.incluster_config import InClusterConfigLoader
import urllib3


def load_incluster_config(environ):
    """Use the service account kubernetes gives to pods to connect to kubernetes
    cluster. It's intended for clients that expect to be running inside a pod

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STATUS: tensorflow 1.11.0 can access GPUs. CUDA 9.0 . -Oct 5.

https://gist.github.com/sub-mod/18c23839ccbac660de08ba5f6033defd

Dockerfile

#FROM centos:7
FROM nvidia/cuda:9.0-cudnn7-devel-centos7