Jerrynet

import Cocoa

//No bounds checking
struct Matrix {
    let dims:[Int]
    let increaseDim:[Int]
    var grid: [Double]
    init(dim: Int...) {
        self.dims = dim
        var tmpInDim:[Int] = [1]

Jerrynet

import Accelerate

//Perform a 3x3 matrix production, axb
var a:[Double] = [1,1,0, 0,1,0, 0,0,1]
var b:[Double] = [1,2,3, 4,5,6, 7,8,9]

//Swift cannot understand LA constants, need to cast them
var aObj:la_object_t = la_matrix_from_double_buffer(&a, 3, 3, 3, la_hint_t(LA_NO_HINT), la_attribute_t(LA_DEFAULT_ATTRIBUTES))
var bObj:la_object_t = la_matrix_from_double_buffer(&b, 3, 3, 3, la_hint_t(LA_NO_HINT), la_attribute_t(LA_DEFAULT_ATTRIBUTES))

Jerrynet

# Contrastive Loss
# by Che-Wei Lin
# Under the Simplified BSD License

import tensorflow as tf
from tensorflow.python.framework.function import Defun


def contrastive_loss(margin, threshold=1e-5):
    """Contrastive loss:

Jerrynet

# python3
import random
import argparse


if __name__ == '__main__':
    parser = argparse.ArgumentParser()
    parser.add_argument('-d', '--draw_cards_number', type=int, default=3)
    parser.add_argument('-i', '--iteration', type=int, default=100000)