tags | ||
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#!/bin/bash | |
### steps #### | |
# verify the system has a cuda-capable gpu | |
# download and install the nvidia cuda toolkit and cudnn | |
# setup environmental variables | |
# verify the installation | |
### | |
### to verify your gpu is cuda enable check |
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/** | |
* Retrieve the array key corresponding to the largest element in the array. | |
* | |
* @param {Array.<number>} array Input array | |
* @return {number} Index of array element with largest value | |
*/ | |
function argMax(array) { | |
return array.map((x, i) => [x, i]).reduce((r, a) => (a[0] > r[0] ? a : r))[1]; | |
} |
Here's a few things I tried to write output to a python subprocess pipe.
from subprocess import Popen, PIPE
p = Popen('less', stdin=PIPE)
for x in xrange(100):
p.communicate('Line number %d.\n' % x)