rpsene

# -*- coding: utf-8 -*-
#
# Copyright (C) 2015-2020 Bitergia
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,

rpsene

# -*- coding: utf-8 -*-
#
# Copyright (C) 2015-2020 Bitergia
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,

rpsene

## Get API URL

oc cluster-info | grep -E 'Kubernetes master|Kubernetes control plane' | awk '/http/ {print $NF}'

output: https://api.ocp-46-20210119-145312-23b3a025d7.158.175.162.14.nip.io:6443

## Get CA certificate

oc get secrets

rpsene

multipath -ll | sed -n '/^mpath/,/^size/p' >> /tmp/mpath.log && x=1 && while IFS="" read -r p || [ -n "$p" ]; do STR1=$(printf '%s\n' "$p" | sed 's/\s.*$//'); STR2+=$STR1" "; y=$(($x % 2)); if [ $y -eq 0 ]; then printf '%s\n' "$STR2";  echo "---"; STR2=""; fi; x=$(( $x + 1 )); done < /tmp/mpath.log; rm -f /tmp/mpath.log; touch /tmp/mpath.log;

rpsene

1 - nvidia-docker run -it --env LICENSE=yes -p <PORT>:<PORT>/tcp ibmcom/powerai:1.6.0.all bash

2 - python -c "import torch;print(torch.__version__)"

3 - python -c "import tensorflow as tf;print(tf.__version__)"

4 - conda install -y git jupyter matplotlib

5 - git clone https://github.com/pvaneck/tf_mnist

rpsene

1 - nvidia-docker run -it --env LICENSE=yes -p <PORT>:<PORT>/tcp ibmcom/powerai:1.6.0.all bash

2 - python -c "import torch;print(torch.__version__)"

3 - python -c "import tensorflow as tf;print(tf.__version__)"

4 - conda install -y git jupyter matplotlib

5 - git clone https://github.com/pvaneck/tf_mnist

rpsene

nvidia-docker run -it --env LICENSE=yes -p <PORT>:<PORT>/tcp ibmcom/powerai:1.6.0-all bash

python -c "import torch;print(torch.__version__)"

python -c "import tensorflow as tf;print(tf.__version__)"

conda install -y git jupyter matplotlib

git clone https://github.com/pvaneck/tf_mnist

rpsene

// Google Forms Slack Notification
// Andy Chase <github.com/andychase>
// License: CC0 1.0 Universal <creativecommons.org/publicdomain/zero/1.0>
// Install 1: This code goes in ( tools > script editor... ) of your google docs form
// Install 2: ( resources > current project triggers ) ( [onSubmit], [from Form], [On form submit] )

// Setup 1: Put your slack api url below
var POST_URL = "https://hooks.slack.com/services/";

function onSubmit(e) {

rpsene

# the following two lines give a two-line status, with the current window highlighted
hardstatus alwayslastline
hardstatus string '%{= Kd} %{= Kd}%-w%{= Kr}[%{= KW}%n %t%{= Kr}]%{= Kd}%+w %-= %{KG} %H%{KW}|%{KY}%101`%{KW}|%D %M %d %Y%{= Kc} %C%A%{-}'

# huge scrollback buffer
defscrollback 50000

# scroll
termcapinfo xterm* ti@:te@

rpsene

Keybase proof

I hereby claim:

• I am rpsene on github.
• I am rpsene (https://keybase.io/rpsene) on keybase.
• I have a public key whose fingerprint is 33C4 6492 26AE 9A0C 5444 7B8E E35F BC63 5C44 5BEC

To claim this, I am signing this object: