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"""This file contains some basic model components"""

import tensorflow as tf
from tensorflow.python.ops.rnn_cell import DropoutWrapper
from tensorflow.python.ops import variable_scope as vs
from tensorflow.python.ops import rnn_cell
from operator import mul


class LSTMEncoder(object):

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need to install bazel
https://copr.fedorainfracloud.org/coprs/vbatts/bazel/

oc new-app --template=tensorflow-build-image  --param=APPLICATION_NAME=tf-fedora27-builder-image-36 --param=S2I_IMAGE=registry.fedoraproject.org/f27/s2i-core   --param=DOCKER_FILE_PATH=Dockerfile.fedora27 --param=NB_PYTHON_VER=3.6 --param=VERSION=4

oc new-app --template=tensorflow-build-job  --param=APPLICATION_NAME=tf-build-fc27-363 --param=BUILDER_IMAGESTREAM=docker-registry.default.svc:5000/dh-prod-analytics-factory/tf-fedora27-builder-image-36:3  --param=NB_PYTHON_VER=3.6  --param=GIT_TOKEN= --param=CUSTOM_BUILD="gcc -march=native -Q --help=target|grep march && gcc -march=native -E -v - </dev/null 2>&1 | grep cc1 && grep flags -m1 /proc/cpuinfo | cut -d ":" -f 2 | tr '[:upper:]' '[:lower:]' && lscpu && bazel build -c opt --copt='-march=core-avx2' --cxxopt='-D_GLIBCXX_USE_CXX11_ABI=0' --local_resources 2048,2.0,1.0 --verbose_failures //tensorflow/tools/pip_package:build_pip_package"



gcc -march=native -Q --help=target|grep marc

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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

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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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#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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$ 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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/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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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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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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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'],