Unique module identifier

Is there any way to get id of module when I need that.

I can currently have a name but names may be duplicates:

for c in model.children():
    name = c._get_name()
for name, moduke in model.named_modules():  # or model.named_children():

should return the module names, which should be unique.

Would this work for you?

@ptrblck : Does the inner module knows his name inside main module?
Are we destined to use this code:

for n, m in model.named_modules():
        if (m==module): 

in order to grab the n (module name)
Here is the detail of using named_modules()

%matplotlib inline

import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import DataLoader, Dataset, TensorDataset
from torch.optim import *
import torchvision

model = torchvision.models.segmentation.deeplabv3_resnet50(weights='DEFAULT')

## dict that will have all named modules and thair values 
## in, out, w, b (std dev and mean)
from collections import defaultdict
statDict= defaultdict(list)

has input, output and model during forward
def stata(module, inp, outp):        
    for n, m in model.named_modules():
        if (m==module):           

for name, m in model.named_modules(): 
    if(isinstance(m, (nn.BatchNorm2d, nn.Conv2d))):

# simplified batches

for i in range(0,3):
    x = torch.randn(2,3,80,80)
    output = model(x)

for h in hooks:

Sorry, I don’t fully understand your code.
It seems you are trying to register a forward hook on m and are internally checking again for this module to manipulate a statDict object? What’s your use case as it seems strange to manipulate a state_dict inside a forward hook?

No this is statDict (statistical dictionary).
The idea is to save calculated values for each batch. Something like how the specific layer inside the model behaves when training.

Or to get plots like this:

I found quite the opposite can be done with this code:

from functools import reduce
model = torchvision.models.segmentation.deeplabv3_resnet50(weights='DEFAULT')

def get_module_by_name(module, access_string):
     names = access_string.split(sep='.')
     return reduce(getattr, names, module)

submodule = get_module_by_name(model, 'backbone.layer4.2.conv1')

but this is getting the module based on his named_modules name. Can we get the named_module name easy when we have parent module and inside sub-module?

Ah OK, in that case your code might work, but I would probably just pass a unique identifier to the hook and store the stats using this identifier as the key to the dict as seen here.