Delete metrics

metrics/AverageMeter.py

@@ -1,18 +0,0 @@
-#taken from pytorch imagenet example
-class AverageMeter(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
-
-    def update(self, val, n=1):
-        self.val = val
-        self.sum += val * n
-        self.count += n
-        self.avg = self.sum / self.count
-

metrics/accuracy.py

@@ -1,20 +0,0 @@
-import torch
-
-accuracy = lambda output,target : acc_topk(output, target)[0]    
-
-#taken from pytorch imagenet example 
-def acc_topk(output, target, topk=(1,)):
-    """Computes the accuracy over the k top predictions for the specified values of k"""
-    with torch.no_grad():
-        maxk = max(topk)
-        batch_size = target.size(0)
-
-        _, pred = output.topk(maxk, 1, True, True)
-        pred = pred.t()
-        correct = pred.eq(target.view(1, -1).expand_as(pred))
-
-        res = []
-        for k in topk:
-            correct_k = correct[:k].view(-1).float().sum(0, keepdim=True)
-            res.append(correct_k.mul_(1.0 / batch_size))
-        return res