Hi,

For my model, output.grad is zero right from the first iteration. My model is as follows -

```
import torch.nn as nn
import math
import torch.utils.model_zoo as model_zoo
import torch
from torch.autograd.variable import Variable
from torchvision import datasets, models, transforms
class ResnetCombinedFull2(nn.Module):
def __init__(self,LOAD_VIS_URL=None):
print('Using MSE Version')
super(ResnetCombinedFull2, self).__init__()
model = models.resnet18(pretrained = True)
ct = 0
for child in model.children():
for childdd in child.children():
if ct < 6 :
for param in childdd.parameters():
param.requires_grad = False
ct += 1
self.vismodel = nn.Sequential(*list(model.children())[:-1])
self.projective = nn.Linear(512,400)
self.nonlinearity = nn.ReLU(inplace=True)
self.projective2 = nn.Linear(400,300)
def forward(self,x):
x = self.vismodel(x)
x = torch.squeeze(x)
x = self.projective(x)
x = self.nonlinearity(x)
x = self.projective2(x)
x = x/x.norm(2, 1).clamp(min=1e-12).expand_as(x)
return x
```

Can someone help me out with this?

Thanks!