iamaaditya

import numpy as np
from keras.layers import Dropout
from keras import applications
from keras.layers import Dense, GlobalAveragePooling2D, merge, Input
from keras.models import Model

max_words = 10000
epochs = 50
batch_size = 32

iamaaditya

# XLA compilation controlled by "compile_ops" option
# compile_ops=False: 4.39 sec
# compile_ops=True: 0.90 sec


import os
os.environ['CUDA_VISIBLE_DEVICES']=''
import tensorflow as tf

iamaaditya

import tensorflow as tf

"""
Multi dimensional softmax,
refer to https://github.com/tensorflow/tensorflow/issues/210

compute softmax along the dimension of target
the native softmax only supports batch_size x dimension
"""
def softmax(target, axis, name=None):

iamaaditya

" cVim configuration -- Aaditya Prakash
" gist id -- ed0f4da609dde6b71b43

" Settings

"set noautofocus
set cncpcompletion

set smoothscroll
set nohud

iamaaditya

# from: http://www.4dsolutions.net/cgi-bin/py2html.cgi?script=/ocn/python/primes.py

"""
 primes.py  -- Oregon Curriculum Network (OCN)
 Feb  1, 2001  changed global var primes to _primes, added relative primes test
 Dec 17, 2000  appended probable prime generating methods, plus invmod
 Dec 16, 2000  revised to use pow(), removed methods not in text, added sieve()
 Dec 12, 2000  small improvements to erastosthenes()
 Dec 10, 2000  added Euler test
 Oct  3, 2000  modified fermat test

iamaaditya

import ossaudiodev as oss
from numpy import fft
import math
import pygame
import pygame.surfarray as surfarray


d = oss.open('rw')
d.setfmt(oss.AFMT_U16_LE)
d.channels(1)