parmusingh / c-vs-tensorflow Goto Github PK

import numpy as np
import time
import os

inputs = [331, 884, 254,..]

with tf.Graph().as_default():
    inputs = tf.Variable(inputs, dtype=np.float32)
    encrypt = (tf.sqrt(inputs) + 523) / 5.3

    with tf.Session() as sess:
        sess.run(tf.global_variables_initializer())

        print('Starting')
        t1 = time.time()
        for I in range(1000000):
            encrypted_data = []
            encrypted_data.extend(encrypt.eval())
            print(I)
        print('completed in : {}s'.format(time.time() - t1))

import time
import os


inputs = [331, 884, 254,...]
inputs = torch.tensor(inputs, dtype=torch.float32)
in_ = inputs.to('cuda:0') # comment this if you don't have GPU support

encrypt = lambda x: (torch.sqrt(x) + 523) / 5.3

print('Starting')
t1 = time.time()

for I in range(1000000):
    encrypted_data = []
    encrypted_data.extend(encrypt(in_).tolist())
    print(I, " ")

print('completed in : {}s'.format(time.time() - t1))

#include<math.h>
#include<time.h>
using namespace std;

static inline float encrypt (float x) { return (sqrt(x) + 523) / 5.3; }

int main(){
    vector<float> inputs {331, 884, 254,...};
    clock_t start;
    
    cout<<"Starting\n";
    start = clock();
    
    for(int I = 0; I<1000000; I++){
        vector<float> encryptedData(10000);
	transform(inputs.begin(), inputs.end(), encryptedData.begin(), encrypt);
	cout<<I<<endl;
    }
	
    cout<<"Time "<<((float)clock() - (float)start)/CLOCKS_PER_SEC;
    return 0;
}