Sentient07

class UserProfiles(models.Model):
    user = models.ForeignKey(User, unique=True)
    follows = models.ManyToManyField(User, related_name='followers', symmetrical=False)
    description = models.TextField(verbose_name=_("description"))
    place = models.TextField(verbose_name=_("place"))
    reputation = models.IntegerField(auto_created=True, default=0)
    prof_pic = models.FilePathField(path="/home/ramana/PycharmProjects/social-network/static/images")

Sentient07

/*
 * To change this license header, choose License Headers in Project Properties.
 * To change this template file, choose Tools | Templates
 * and open the template in the editor.
 */

package ftpjava;
import java.io.BufferedInputStream;
import java.io.BufferedOutputStream;
import java.io.BufferedReader;

Sentient07

""" *******************************************************************************
    Prints out the query results in a HTML format or in a dump file
    in an HTML format the function will paginate the data
    numResidues = total # of residues in query
    Result_Set = set of results to be printed
    Per_Page = number of results to show per page
    toFile = file to dump results to
    **************************************************************************  """
from __future__ import with_statement
from threading import Thread, Lock

Sentient07

import java.util.*;
public class Hello{

     public static void main(String []args){
        System.out.println("Hello World");
        ArrayList<String> a1 = new ArrayList<String>();
        ArrayList<String> b1 = a1;
        b1.add("hello");
        b1.add("yo!");
        System.out.println(a1.toString());

Sentient07

Using gpu device 0: GeForce GT 750M (CNMeM is disabled, CuDNN not available)
../Users/Ramana/projects/theano/Theano/theano/tensor/tests/test_opt.py:4021: UserWarning: Tile op is deprecated, use tile function instead.
  f = theano.function([var], Tile(ndim)(var, (1,)*ndim), mode=mode)
..F...........FF....FEE.............ERROR (theano.gof.opt): EquilibriumOptimizer max'ed out by 'gpu_merge'. You can safely raise the current threshold of 5.000000 with the theano flag 'optdb.max_use_ratio'.
ERROR (theano.gof.opt): EquilibriumOptimizer max'ed out by 'gpu_merge'. You can safely raise the current threshold of 5.000000 with the theano flag 'optdb.max_use_ratio'.
ERROR (theano.gof.opt): EquilibriumOptimizer max'ed out by 'gpu_merge'. You can safely raise the current threshold of 5.000000 with the theano flag 'optdb.max_use_ratio'.
...........................FFF..F.......FFF....FF..S.S..S.....FF..........FFFFFFFFF.....FFF...FFFFFFFF............ERROR (theano.gof.opt): Optimization failure due to: local_gpu_subtensor
ERR

Sentient07

class Node():
	pass


nodes = []
for i in range( 100 ):
	n = Node()
	nodes.append( n )

Sentient07

#!/usr/bin/python
import theano.tensor as T
import theano
from cgt.utils import Message
import time
import cgt

if __name__ == '__main__':	
	a = T.scalar(name='a', dtype='int64') # 
	b = T.scalar(name='b', dtype='int64')

Sentient07

Sentient07

name: "CaffeNet"
layer {
  name: "data"
  type: "Input"
  top: "data"
  input_param { shape: { dim: 10 dim: 3 dim: 227 dim: 227 } }
}
layer {
  name: "conv1"
  type: "Convolution"

Sentient07

name: "CIFAR10_full_deploy"
# N.B. input image must be in CIFAR-10 format
# as described at http://www.cs.toronto.edu/~kriz/cifar.html
layer {
  name: "data"
  type: "Input"
  top: "data"
  input_param { shape: { dim: 1 dim: 3 dim: 32 dim: 32 } }
}
layer {