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I get this error with this Traceback when trying to train non-local on ground truth h36m:
Traceback (most recent call last):
File "/mnt/466a95be-9c12-4e2c-9e95-7d037205b249/Amin/SemGCN/main_gcn.py", line 287, in
main(parse_args())
File "/mnt/466a95be-9c12-4e2c-9e95-7d037205b249/Amin/SemGCN/main_gcn.py", line 176, in main
epoch_loss, lr_now, glob_step = train(train_loader, model_pos, criterion, optimizer, device, args.lr, lr_now,
File "/mnt/466a95be-9c12-4e2c-9e95-7d037205b249/Amin/SemGCN/main_gcn.py", line 223, in train
outputs_3d = model_pos(inputs_2d)
File "/home/amin/anaconda3/envs/torch/lib/python3.8/site-packages/torch/nn/modules/module.py", line 727, in _call_impl
result = self.forward(*input, **kwargs)
File "/mnt/466a95be-9c12-4e2c-9e95-7d037205b249/Amin/SemGCN/models/sem_gcn.py", line 93, in forward
out = self.gconv_input(x)
File "/home/amin/anaconda3/envs/torch/lib/python3.8/site-packages/torch/nn/modules/module.py", line 727, in _call_impl
result = self.forward(*input, **kwargs)
File "/home/amin/anaconda3/envs/torch/lib/python3.8/site-packages/torch/nn/modules/container.py", line 117, in forward
input = module(input)
File "/home/amin/anaconda3/envs/torch/lib/python3.8/site-packages/torch/nn/modules/module.py", line 727, in _call_impl
result = self.forward(*input, **kwargs)
File "/mnt/466a95be-9c12-4e2c-9e95-7d037205b249/Amin/SemGCN/models/sem_gcn.py", line 23, in forward
x = self.gconv(x).transpose(1, 2)
File "/home/amin/anaconda3/envs/torch/lib/python3.8/site-packages/torch/nn/modules/module.py", line 727, in _call_impl
result = self.forward(*input, **kwargs)
File "/mnt/466a95be-9c12-4e2c-9e95-7d037205b249/Amin/SemGCN/models/sem_graph_conv.py", line 43, in forward
output = torch.matmul(adj * M, h0) + torch.matmul(adj * (1 - M), h1)
RuntimeError: mat1 dim 1 must match mat2 dim 0
and these are the input parameters:
Using settings Namespace(actions='*', batch_size=64, checkpoint='checkpoint', dataset='h36m', downsample=1, dropout=0.0, epochs=100, evaluate='', hid_dim=128, keypoints='gt', lr=0.001, lr_decay=100000, lr_gamma=0.96, max_norm=True, non_local=True, num_layers=4, num_workers=8, resume='', snapshot=5)
the matrix multiplication dimensions are not matching apparently:
adj is 16x16
M is 16x16
and h0 is 64x17x128.
Does anybody know how to fix this? Thanks in advance!
The text was updated successfully, but these errors were encountered:
For me, it was due to using preprocessed npz files from another repository (VideoPose3D). I instead downloaded a fresh zip file and ran the processing script and now it works all right.
I get this error with this Traceback when trying to train non-local on ground truth h36m:
Traceback (most recent call last):
File "/mnt/466a95be-9c12-4e2c-9e95-7d037205b249/Amin/SemGCN/main_gcn.py", line 287, in
main(parse_args())
File "/mnt/466a95be-9c12-4e2c-9e95-7d037205b249/Amin/SemGCN/main_gcn.py", line 176, in main
epoch_loss, lr_now, glob_step = train(train_loader, model_pos, criterion, optimizer, device, args.lr, lr_now,
File "/mnt/466a95be-9c12-4e2c-9e95-7d037205b249/Amin/SemGCN/main_gcn.py", line 223, in train
outputs_3d = model_pos(inputs_2d)
File "/home/amin/anaconda3/envs/torch/lib/python3.8/site-packages/torch/nn/modules/module.py", line 727, in _call_impl
result = self.forward(*input, **kwargs)
File "/mnt/466a95be-9c12-4e2c-9e95-7d037205b249/Amin/SemGCN/models/sem_gcn.py", line 93, in forward
out = self.gconv_input(x)
File "/home/amin/anaconda3/envs/torch/lib/python3.8/site-packages/torch/nn/modules/module.py", line 727, in _call_impl
result = self.forward(*input, **kwargs)
File "/home/amin/anaconda3/envs/torch/lib/python3.8/site-packages/torch/nn/modules/container.py", line 117, in forward
input = module(input)
File "/home/amin/anaconda3/envs/torch/lib/python3.8/site-packages/torch/nn/modules/module.py", line 727, in _call_impl
result = self.forward(*input, **kwargs)
File "/mnt/466a95be-9c12-4e2c-9e95-7d037205b249/Amin/SemGCN/models/sem_gcn.py", line 23, in forward
x = self.gconv(x).transpose(1, 2)
File "/home/amin/anaconda3/envs/torch/lib/python3.8/site-packages/torch/nn/modules/module.py", line 727, in _call_impl
result = self.forward(*input, **kwargs)
File "/mnt/466a95be-9c12-4e2c-9e95-7d037205b249/Amin/SemGCN/models/sem_graph_conv.py", line 43, in forward
output = torch.matmul(adj * M, h0) + torch.matmul(adj * (1 - M), h1)
RuntimeError: mat1 dim 1 must match mat2 dim 0
and these are the input parameters:
Using settings Namespace(actions='*', batch_size=64, checkpoint='checkpoint', dataset='h36m', downsample=1, dropout=0.0, epochs=100, evaluate='', hid_dim=128, keypoints='gt', lr=0.001, lr_decay=100000, lr_gamma=0.96, max_norm=True, non_local=True, num_layers=4, num_workers=8, resume='', snapshot=5)
the matrix multiplication dimensions are not matching apparently:
adj is 16x16
M is 16x16
and h0 is 64x17x128.
Does anybody know how to fix this? Thanks in advance!
The text was updated successfully, but these errors were encountered: