vovnet 测试

vovnet39， 1070 640*640 batch 1 15ms

自己改了参数： 

import time

import torch
import torch.nn as nn
import torch.nn.functional as F
from collections import OrderedDict

__all__ = ['VoVNet', 'vovnet27_slim', 'vovnet39', 'vovnet57']



def conv3x3(in_channels, out_channels, module_name, postfix,
            stride=1, groups=1, kernel_size=3, padding=1):
    """3x3 convolution with padding"""
    return [
        ('{}_{}/conv'.format(module_name, postfix),
         nn.Conv2d(in_channels, out_channels,
                   kernel_size=kernel_size,
                   stride=stride,
                   padding=padding,
                   groups=groups,
                   bias=False)),
        ('{}_{}/norm'.format(module_name, postfix),
         nn.BatchNorm2d(out_channels)),
        (