pratos

Run the notebook in the server (remote) * jupyter notebook --no-browser

Run the ssh in the local shell

• ssh -N -f -L localhost:8888:localhost: user@ip

pratos

• Command to authenticate glcoud

  • gcloud auth login

• Command to chose an existing project

  • gcloud project list
  • gcloud config set core/project <project-name>

• Command to create and choose a new project *

pratos

(dlgpu) user@user:~$ python
Python 3.5.3 |Continuum Analytics, Inc.| (default, Mar  6 2017, 11:58:13) 
[GCC 4.4.7 20120313 (Red Hat 4.4.7-1)] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import keras
Using TensorFlow backend.
I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcublas.so.8.0 locally
I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcudnn.so.5 locally
I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcufft.so.8.0 locally
I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcuda.so.1 locally

pratos

./deviceQuery Starting...

 CUDA Device Query (Runtime API) version (CUDART static linking)

Detected 1 CUDA Capable device(s)

Device 0: "GeForce GTX 1060 6GB"
  CUDA Driver Version / Runtime Version          8.0 / 8.0
  CUDA Capability Major/Minor version number:    6.1
  Total amount of global memory:                 6073 MBytes (6367739904 bytes)

pratos

$ lscpu
Architecture:          x86_64
CPU op-mode(s):        32-bit, 64-bit
Byte Order:            Little Endian
CPU(s):                8
On-line CPU(s) list:   0-7
Thread(s) per core:    2
Core(s) per socket:    4
Socket(s):             1
NUMA node(s):          1

pratos

# Base image
FROM python:3.5.3-onbuild

# Updating repository sources
RUN apt-get update

# Installing cron and curl
RUN apt-get install cron -yqq \
    curl

pratos

bleach==2.0.0
cycler==0.10.0
decorator==4.0.11
entrypoints==0.2.2
html5lib==0.999999999
ipykernel==4.6.1
ipython==6.0.0
ipython-genutils==0.2.0
ipywidgets==6.0.0
jedi==0.10.2

pratos

import numpy as np

W = np.array([(0.01,-0.05,0.1,0.05),(0.7,0.2,0.05,0.16),(0.0,-0.45,-0.2, 0.03)]) #Weights
xi = np.array([-15,22,-44,56]) #Input
b = np.array([0.0,0.2,-0.3]) #Bias

delta = 1

y = np.sum((np.dot(W,xi),b), axis=0)

pratos

import numpy as np

W = np.array([(0.01,-0.05,0.1,0.05),(0.7,0.2,0.05,0.16),(0.0,-0.45,-0.2, 0.03)]) #Weights
xi = np.array([-15,22,-44,56]) #Input
b = np.array([0.0,0.2,-0.3]) #Bias

delta = 1

y = np.sum((np.dot(W,xi),b), axis=0)

pratos

Starting notebook in remote

$ ssh remote_user@remote_host
$ cd <repository>
$ jupyter notebook --no-browser

Connecting to the remote notebook

ssh -N -f -L localhost:8888:localhost:8889 remote_user@remote_host