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Traceback (most recent call last):
tgt = torch.cat([tgt_weight, indicator0], dim=1) + label_enc.weight[0][0]*torch.tensor(0).cuda()
RuntimeError: Sizes of tensors must match except in dimension 0. Got 0 and 300 (The offending index is 0)
The text was updated successfully, but these errors were encountered:
Traceback (most recent call last): tgt = torch.cat([tgt_weight, indicator0], dim=1) + label_enc.weight[0][0]*torch.tensor(0).cuda() RuntimeError: Sizes of tensors must match except in dimension 0. Got 0 and 300 (The offending index is 0)
When I was training my own data set with DN-DETR, I encountered the following problems,
how do I solve them?
Who can tell me, please?
@sorrowyn @whatchang @SlongLiu @developer0hye @rentainhe
Traceback (most recent call last):
tgt = torch.cat([tgt_weight, indicator0], dim=1) + label_enc.weight[0][0]*torch.tensor(0).cuda()
RuntimeError: Sizes of tensors must match except in dimension 0. Got 0 and 300 (The offending index is 0)
The text was updated successfully, but these errors were encountered: