popcornell

import numpy as np
import numba

@numba.jit(nopython=True, parallel=True) #parallel speeds up computation only over very large matrices
# M is a mxn matrix binary matrix 
# all elements in M should be uint8 
def gf2elim(M):

    m,n = M.shape

popcornell

import tensorflow as tf


def p_inv(matrix):
    
    """Returns the Moore-Penrose pseudo-inverse"""

    s, u, v = tf.svd(matrix)
    
    threshold = tf.reduce_max(s) * 1e-5

popcornell

import tensorflow as tf

from keras.datasets import mnist

import numpy as np

tf.enable_eager_execution()

assert tf.executing_eagerly()