2 years ago I was looking for a GoogLeNet model

  
    
    
    Where is pretrained GoogLeNet model vision
  
  
    Hey, I want to ask if anybody has the GoogLeNet model (trained on ImageNet) 
I’m trying to reproduce some deep metric learning result and all papers use GoogLeNet, so for fair comparison and analysis… 
Training the network myself or even converting it from tensorflow is too much work 
  


Recently somebody has added a GoogLeNet model to torchvision

  
      github.com
  
  
    pytorch/vision/blob/master/torchvision/models/googlenet.py 3
import warnings
from collections import namedtuple
import torch
import torch.nn as nn
import torch.nn.functional as F
from .utils import load_state_dict_from_url

__all__ = ['GoogLeNet', 'googlenet']

model_urls = {
    # GoogLeNet ported from TensorFlow
    'googlenet': 'https://download.pytorch.org/models/googlenet-1378be20.pth',
}

_GoogLeNetOutputs = namedtuple('GoogLeNetOutputs', ['logits', 'aux_logits2', 'aux_logits1'])


def googlenet(pretrained=False, progress=True, **kwargs):
    r"""GoogLeNet (Inception v1) model architecture from
    `"Going Deeper with Convolutions" <http://arxiv.org/abs/1409.4842>`_.


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The original paper is cited and also it says there that the model is ported from tensorflow.
I want to check if this really follows the original GoogLeNet, how come it has BatchNorm layers?