計算一下pytorch中Resnet34模型前傳一次所需要的時間

import pdb
import time
import torch
import torchvision.models as models
from torch.autograd import Variable

class Timer(object):
    """A simple timer."""
    def __init__(self):
        self.total_time = 0.
        self.calls = 0
        self.start_time = 0.
        self.diff = 0.
        self.average_time = 0.

    def tic(self):
        # using time.time instead of time.clock because time time.clock
        # does not normalize for multithreading
        self.start_time = time.time()

    def toc(self, average=True):
        self.diff = time.time() - self.start_time
        self.total_time += self.diff
        self.calls += 1
        self.average_time = self.total_time / self.calls
        if average:
            return self.average_time
        else:
            return self.diff

GPUID = 1

resnet34 = models.resnet34(pretrained=True)
resnet34.cuda(GPUID)

x = torch.rand(1,3,400,400)
x = Variable(x.cuda(GPUID))

# preheat
y = resnet34(x)
timer = Timer()
timer.tic()
for i in xrange(100):
  y = resnet34(x)
timer.toc()

print ('Do once forward need {:.3f}ms ').format(timer.total_time*1000/100.0)