Using data from a file rather than random data in Tensorflow

Question

I am trying to simulate Conway's Game of life in Tensorflow using python and have successfully implemented the code to simulate the game with a random initial 2d array using

tf.random_uniform(shape, minval=0, maxval=2, dtype=tf.int32)

Now I wish to initialize the 2d matrix with an array of 0s and 1s from a csv file having 0s and 1s in a 2d format. How should I initialize the initial Board for the Conway's game??

My code till now:

shape = (5,5)
initial_board = tf.random_uniform(shape, minval=0, maxval=2, dtype=tf.int32)
with tf.Session() as session:
    X = session.run(initial_board)

X is my starting 2d array.

Gregory Begelman · Accepted Answer · 2016-11-23 13:47:49Z

1

There are several ways, see below, for example:

import tensorflow as tf

initial_board = tf.constant([[1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 0, 1, 0, 0], [1, 0, 0, 0, 1]], dtype=tf.int32)
with tf.Session() as session:
    X = session.run(initial_board)
    print X

answered Nov 23, 2016 at 13:47

Gregory Begelman

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2 Comments

Shubham Chowdhary Over a year ago

and If i want the values to load from external file, like a csv file?

Gregory Begelman Over a year ago

You can use numpy to load a file with 2d array from csv. See, for example, these answers: stackoverflow.com/questions/4315506/…, stackoverflow.com/questions/10937918/… Once you have an array loaded to numpy's array, just pass it to tf.constant.

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