import os
import random
import numpy as np

#initialize the weighs of the network for Convolutional layers and batchnorm layers
def weights_init(m):
    classname = m.__class__.__name__
    if classname.find('Conv') != -1 and classname.find('Conv2d') == -1:
        m.weight.data.normal_(0.0, 0.02)
    elif classname.find('BatchNorm') != -1 and classname.find('BatchNorm2d') == -1:
        m.weight.data.normal_(1.0, 0.02)
        m.bias.data.fill_(0)

class AverageValueMeter(object):
    """Computes and stores the average and current value"""
    def __init__(self):
        self.reset()

    def reset(self):
        self.val = 0
        self.avg = 0
        self.sum = 0
        self.count = 0.0

    def update(self, val, n=1):
        self.val = val
        self.sum += val * n
        self.count += n
        self.avg = self.sum / self.count