Invalid layer name: module.densenet121.features.denseblock4.denselayer16.conv.2 #8

rajdeinno · 2019-05-27T15:25:11Z

Hi,

I got the below error while running denseNet_localization.py file.

Traceback (most recent call last):
  File "/media/administrator/D/XRay/CheXnet_Demo/denseNet_localization.py", line 227, in <module>
    output = gcam.generate(target_layer="module.densenet121.features.denseblock4.denselayer16.conv.2")
  File "/media/administrator/D/XRay/CheXnet_Demo/denseNet_localization.py", line 186, in generate
    fmaps = self._find(self.all_fmaps, target_layer)
  File "/media/administrator/D/XRay/CheXnet_Demo/denseNet_localization.py", line 174, in _find
    raise ValueError('Invalid layer name: {}'.format(target_layer))
ValueError: Invalid layer name: module.densenet121.features.denseblock4.denselayer16.conv.2

any help would be really appriciated.. Thanks in advance..

The text was updated successfully, but these errors were encountered:

thtang · 2019-05-27T15:39:44Z

Do you use Pytorch==0.2.0 and torchvision==0.2.0 ?

rajdeinno · 2019-05-28T05:09:12Z

I am using the below version since I had some problem with torchvision 0.2.0.

torch==1.1.0
torchvision==0.2.2

Additional info:
I ran my training by using the below requirements in Ubuntu 16.04.

python== 3.5.6
pip 19.1.1
pkg-resources 0.0.0
setuptools 41.0.1
wheel 0.33.4

cycler==0.10.0
decorator==4.4.0
imageio==2.5.0
joblib==0.13.2
matplotlib==2.1.1
networkx==2.3
numpy==1.13.3
opencv-python==3.4.0.12
pandas==0.24.2
Pillow==6.0.0
pyparsing==2.4.0
python-dateutil==2.8.0
pytz==2019.1
PyWavelets==1.0.3
scikit-image==0.13.1
scikit-learn==0.21.1
scipy==1.0.0
six==1.12.0
torch==1.1.0
torchvision==0.2.2

rajdeinno · 2019-05-28T06:32:48Z

If I use torchvision 0.2.0 and torch==1.0.1 I get the following error.

warn("The default mode, 'constant', will be changed to 'reflect' in "
0
Traceback (most recent call last):
  File "denseNet_localization.py", line 76, in <module>
    model = DenseNet121(8).cuda()
  File "denseNet_localization.py", line 65, in __init__
    self.densenet121 = torchvision.models.densenet121(pretrained=True)
  File "/home/administrator/Desktop/Projects/xray/chexnet/setup3.5/lib/python3.5/site-packages/torchvision/models/densenet.py", line 26, in densenet121
    **kwargs)
  File "/home/administrator/Desktop/Projects/xray/chexnet/setup3.5/lib/python3.5/site-packages/torchvision/models/densenet.py", line 142, in __init__
    bn_size=bn_size, growth_rate=growth_rate, drop_rate=drop_rate)
  File "/home/administrator/Desktop/Projects/xray/chexnet/setup3.5/lib/python3.5/site-packages/torchvision/models/densenet.py", line 98, in __init__
    layer = _DenseLayer(num_input_features + i * growth_rate, growth_rate, bn_size, drop_rate)
  File "/home/administrator/Desktop/Projects/xray/chexnet/setup3.5/lib/python3.5/site-packages/torchvision/models/densenet.py", line 77, in __init__
    self.add_module('norm.1', nn.BatchNorm2d(num_input_features)),
  File "/home/administrator/Desktop/Projects/xray/chexnet/setup3.5/lib/python3.5/site-packages/torch/nn/modules/module.py", line 180, in add_module
    raise KeyError("module name can't contain \".\"")
KeyError: 'module name can\'t contain "."'

So I have upgraded torchvision to 0.2.2. and torch==1.1.0. and my train went successful. When I try to run denseNet_localization.py file then I got the above error.

thtang · 2019-05-28T12:27:49Z

Ok, so it seems that the errors are just caused by the different version of packages.

rajdeinno · 2019-05-28T12:47:39Z

It worked for me after I changed the name in denseNet_localization.py module.densenet121.features.denseblock4.denselayer16.conv.2 to module.densenet121.features.denseblock4.denselayer16.conv2

And I had some package version issues as well.

rajdeinno · 2019-05-28T14:00:38Z

Hi Tang, I am able to generate the bound_box.txt file after I execute the denseNet_localization.pyfile. how to visualize the bound box text file into the input image? as you mentioned in ground-truth label (red) and its prediction (blue). Thanks in advance.. Please assist me on this..

…

Sent from my iPhone

On 28-May-2019, at 17:57, T.H. Tang ***@***.***> wrote: It seem that the errors are just caused by the different version of packages. — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub, or mute the thread.

mochita314 · 2020-06-02T10:01:03Z

I changed
module.densenet121.features.denseblock4.denselayer16.conv.2 to module.densenet121.features.denseblock4.denselayer16.conv2
but still have same problem.
What should I do ... ??

I'm using
torch (1.0.1.post2)
torchvision (0.2.2.post3)

  File "denseNet_localization.py", line 247, in <module>
    output = gcam.generate(target_layer="module.densenet121.features.denseblock4.denselayer16.conv2")
  File "denseNet_localization.py", line 211, in generate
    fmaps = self._find(self.all_fmaps, target_layer)
  File "denseNet_localization.py", line 199, in _find
    raise ValueError('Invalid layer name: {}'.format(target_layer))
ValueError: Invalid layer name: module.densenet121.features.denseblock4.denselayer16.conv2```

sp7414 · 2020-11-06T07:11:38Z

I changed
module.densenet121.features.denseblock4.denselayer16.conv.2 to module.densenet121.features.denseblock4.denselayer16.conv2
but still have same problem.
What should I do ... ??

I'm using
torch (1.0.1.post2)
torchvision (0.2.2.post3)
  File "denseNet_localization.py", line 247, in <module>
    output = gcam.generate(target_layer="module.densenet121.features.denseblock4.denselayer16.conv2")
  File "denseNet_localization.py", line 211, in generate
    fmaps = self._find(self.all_fmaps, target_layer)
  File "denseNet_localization.py", line 199, in _find
    raise ValueError('Invalid layer name: {}'.format(target_layer))
ValueError: Invalid layer name: module.densenet121.features.denseblock4.denselayer16.conv2```

have you solved this problem? I'm facing the same issue.

ankitdata · 2020-12-07T11:52:44Z

I changed
module.densenet121.features.denseblock4.denselayer16.conv.2 to module.densenet121.features.denseblock4.denselayer16.conv2
but still have same problem.
What should I do ... ??
I'm using
torch (1.0.1.post2)
torchvision (0.2.2.post3)
  File "denseNet_localization.py", line 247, in <module>
    output = gcam.generate(target_layer="module.densenet121.features.denseblock4.denselayer16.conv2")
  File "denseNet_localization.py", line 211, in generate
    fmaps = self._find(self.all_fmaps, target_layer)
  File "denseNet_localization.py", line 199, in _find
    raise ValueError('Invalid layer name: {}'.format(target_layer))
ValueError: Invalid layer name: module.densenet121.features.denseblock4.denselayer16.conv2```
have you solved this problem? I'm facing the same issue.

see this issue might helpfull

Aliktk · 2021-06-08T06:41:21Z

If I use torchvision 0.2.0 and torch==1.0.1 I get the following error.

warn("The default mode, 'constant', will be changed to 'reflect' in "
0
Traceback (most recent call last):
  File "denseNet_localization.py", line 76, in <module>
    model = DenseNet121(8).cuda()
  File "denseNet_localization.py", line 65, in __init__
    self.densenet121 = torchvision.models.densenet121(pretrained=True)
  File "/home/administrator/Desktop/Projects/xray/chexnet/setup3.5/lib/python3.5/site-packages/torchvision/models/densenet.py", line 26, in densenet121
    **kwargs)
  File "/home/administrator/Desktop/Projects/xray/chexnet/setup3.5/lib/python3.5/site-packages/torchvision/models/densenet.py", line 142, in __init__
    bn_size=bn_size, growth_rate=growth_rate, drop_rate=drop_rate)
  File "/home/administrator/Desktop/Projects/xray/chexnet/setup3.5/lib/python3.5/site-packages/torchvision/models/densenet.py", line 98, in __init__
    layer = _DenseLayer(num_input_features + i * growth_rate, growth_rate, bn_size, drop_rate)
  File "/home/administrator/Desktop/Projects/xray/chexnet/setup3.5/lib/python3.5/site-packages/torchvision/models/densenet.py", line 77, in __init__
    self.add_module('norm.1', nn.BatchNorm2d(num_input_features)),
  File "/home/administrator/Desktop/Projects/xray/chexnet/setup3.5/lib/python3.5/site-packages/torch/nn/modules/module.py", line 180, in add_module
    raise KeyError("module name can't contain \".\"")
KeyError: 'module name can\'t contain "."'

So I have upgraded torchvision to 0.2.2. and torch==1.1.0. and my train went successful. When I try to run denseNet_localization.py file then I got the above error.

Hello @rajdeinno how did u solve this error please healp me in this regard.
Thanks @rajdeinno

ankitdata · 2021-06-08T07:36:33Z

If I use torchvision 0.2.0 and torch==1.0.1 I get the following error.

warn("The default mode, 'constant', will be changed to 'reflect' in "
0
Traceback (most recent call last):
  File "denseNet_localization.py", line 76, in <module>
    model = DenseNet121(8).cuda()
  File "denseNet_localization.py", line 65, in __init__
    self.densenet121 = torchvision.models.densenet121(pretrained=True)
  File "/home/administrator/Desktop/Projects/xray/chexnet/setup3.5/lib/python3.5/site-packages/torchvision/models/densenet.py", line 26, in densenet121
    **kwargs)
  File "/home/administrator/Desktop/Projects/xray/chexnet/setup3.5/lib/python3.5/site-packages/torchvision/models/densenet.py", line 142, in __init__
    bn_size=bn_size, growth_rate=growth_rate, drop_rate=drop_rate)
  File "/home/administrator/Desktop/Projects/xray/chexnet/setup3.5/lib/python3.5/site-packages/torchvision/models/densenet.py", line 98, in __init__
    layer = _DenseLayer(num_input_features + i * growth_rate, growth_rate, bn_size, drop_rate)
  File "/home/administrator/Desktop/Projects/xray/chexnet/setup3.5/lib/python3.5/site-packages/torchvision/models/densenet.py", line 77, in __init__
    self.add_module('norm.1', nn.BatchNorm2d(num_input_features)),
  File "/home/administrator/Desktop/Projects/xray/chexnet/setup3.5/lib/python3.5/site-packages/torch/nn/modules/module.py", line 180, in add_module
    raise KeyError("module name can't contain \".\"")
KeyError: 'module name can\'t contain "."'

So I have upgraded torchvision to 0.2.2. and torch==1.1.0. and my train went successful. When I try to run denseNet_localization.py file then I got the above error.

Hello @rajdeinno how did u solve this error please healp me in this regard.
Thanks @rajdeinno

check this.
#7 (comment)

Aliktk · 2021-06-15T05:07:12Z

Hi Tang, I am able to generate the bound_box.txt file after I execute the denseNet_localization.pyfile. how to visualize the bound box text file into the input image? as you mentioned in ground-truth label (red) and its prediction (blue). Thanks in advance.. Please assist me on this..
…
Sent from my iPhone
On 28-May-2019, at 17:57, T.H. Tang @.***> wrote: It seem that the errors are just caused by the different version of packages. — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub, or mute the thread.

@rajdeinno hello sir after generating BB file how you print BB on that image with heatmap of that image?
Pleae help

rajdeinno closed this as completed May 28, 2019

rajdeinno reopened this May 28, 2019

Aliktk mentioned this issue Jun 8, 2021

Error in During testing the model need the number of output to perform testing? #18

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Invalid layer name: module.densenet121.features.denseblock4.denselayer16.conv.2 #8

Invalid layer name: module.densenet121.features.denseblock4.denselayer16.conv.2 #8

rajdeinno commented May 27, 2019

thtang commented May 27, 2019

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Aliktk commented Jun 15, 2021

Invalid layer name: module.densenet121.features.denseblock4.denselayer16.conv.2 #8

Invalid layer name: module.densenet121.features.denseblock4.denselayer16.conv.2 #8

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