Usage of checkpoint

[shinra1012]

I downloaded the pretrained model , ddf_add_resnet50.pth.tar and ddf_mul_resnet50.pth.tar.
ddf_model
├── ddf_add_resnet50.pth.tar
├──ddf_mul_resnet50.pth.tar
I use load_checkpoint like
create_model(
'ddf_mul_resnet50',
checkpoint_path='./ddf_mul_resnet50/ddf_mul_resnet50.pth.tar',
pretrained=True,
num_classes=None,
in_chans=3,
global_pool=None,
scriptable='torchscript')
but I get warning
No pretrained weights exist for this model. Using random initialization.

The warning exists even if I use load_checkpoint function like author.

[theFoxofSky]

Please check your downloaded files. You can use the following python code to print them:

import torch
model = torch.load('./ddf_mul_resnet50/ddf_mul_resnet50.pth.tar')
print(model)

If everything is fine, you will see the 'state dict' of the model. Otherwise, please redownload the file.