blob: a97cee438188dc6367532fd88b56fef1722fcbb4 (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
|
import timm
import torch
from torch import nn
def print_shape(m, i, o):
#m: module, i: input, o: output
# print(m, i[0].shape, o.shape)
print(i[0].shape, '=>', o.shape)
def get_children(model: nn.Module):
# get children form model!
children = list(model.children())
flatt_children = []
if children == []:
# if model has no children; model is last child! :O
return model
else:
# look for children from children... to the last child!
for child in children:
try:
flatt_children.extend(get_children(child))
except TypeError:
flatt_children.append(get_children(child))
return flatt_children
model_name = 'vgg11'
model = timm.create_model(model_name, pretrained=True)
flatt_children = get_children(model)
for layer in flatt_children:
layer.register_forward_hook(print_shape)
# for layer in model.children():
# layer.register_forward_hook(print_shape)
# 4d: batch*channel*width*height
batch_input = torch.randn(4, 3, 299, 299)
model(batch_input)
|
