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CE HF Transformer
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| import torch | |
| n_cls = 5 | |
| a = torch.rand((1, 3, n_cls)) | |
| b = torch.tensor([[0, 1, 2]]) | |
| print(a.shape) | |
| print(b.shape) | |
| # > torch.Size([1, 3, 5]) | |
| # > torch.Size([1, 3]) | |
| fc = torch.nn.CrossEntropyLoss() | |
| # HF | |
| print(fc(a.view(-1, n_cls), b.view(-1))) | |
| # > tensor(1.8672) | |
| # 3D | |
| print(fc(a.transpose(2, 1), b)) | |
| # > tensor(1.8672) |
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