i am using pretrained model and geting below error =
Namespace(name='GMM', dress_type='dresses', gpu_ids='', workers=4, batch_size=4, dataroot='./../result', datamode='test', stage='GMM', data_list='./../result/inference_dress.txt', fine_width=384, fine_height=512, radius=5, grid_size=10, tensorboard_dir='tensorboard', result_dir='result', checkpoint='./../../gdrive/MyDrive/gmm_final.pth', display_count=1, shuffle=False)
Start to test stage: GMM, named: GMM!
/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py:560: UserWarning: This DataLoader will create 4 worker processes in total. Our suggested max number of worker in current system is 2, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(_create_warning_msg(
initialization method [normal]
initialization method [normal]
Traceback (most recent call last):
File "/content/virtual-try-on-app/network/test.py", line 231, in
main()
File "/content/virtual-try-on-app/network/test.py", line 215, in main
load_checkpoint(model, opt.checkpoint)
File "/content/virtual-try-on-app/network/networks.py", line 556, in load_checkpoint
model.load_state_dict(torch.load(checkpoint_path))
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 2041, in load_state_dict
raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for GMM:
size mismatch for regression.conv.0.weight: copying a param with shape torch.Size([512, 192, 4, 4]) from checkpoint, the shape in current model is torch.Size([512, 768, 4, 4]).
size mismatch for regression.linear.weight: copying a param with shape torch.Size([50, 768]) from checkpoint, the shape in current model is torch.Size([200, 3072]).
size mismatch for regression.linear.bias: copying a param with shape torch.Size([50]) from checkpoint, the shape in current model is torch.Size([200]).
i am using pretrained model and geting below error =
Namespace(name='GMM', dress_type='dresses', gpu_ids='', workers=4, batch_size=4, dataroot='./../result', datamode='test', stage='GMM', data_list='./../result/inference_dress.txt', fine_width=384, fine_height=512, radius=5, grid_size=10, tensorboard_dir='tensorboard', result_dir='result', checkpoint='./../../gdrive/MyDrive/gmm_final.pth', display_count=1, shuffle=False) Start to test stage: GMM, named: GMM! /usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py:560: UserWarning: This DataLoader will create 4 worker processes in total. Our suggested max number of worker in current system is 2, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary. warnings.warn(_create_warning_msg( initialization method [normal] initialization method [normal] Traceback (most recent call last): File "/content/virtual-try-on-app/network/test.py", line 231, in
main()
File "/content/virtual-try-on-app/network/test.py", line 215, in main
load_checkpoint(model, opt.checkpoint)
File "/content/virtual-try-on-app/network/networks.py", line 556, in load_checkpoint
model.load_state_dict(torch.load(checkpoint_path))
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 2041, in load_state_dict
raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for GMM:
size mismatch for regression.conv.0.weight: copying a param with shape torch.Size([512, 192, 4, 4]) from checkpoint, the shape in current model is torch.Size([512, 768, 4, 4]).
size mismatch for regression.linear.weight: copying a param with shape torch.Size([50, 768]) from checkpoint, the shape in current model is torch.Size([200, 3072]).
size mismatch for regression.linear.bias: copying a param with shape torch.Size([50]) from checkpoint, the shape in current model is torch.Size([200]).