| by | |
| recursive algorithm | |
| layer_name = "dense" | |
| pretrained_weight = array_of_dense_layer | |
| model_pointer = getattr(model, "dense") | |
| model_pointer.weight.data = torch.from_numpy(pretrained_weight) | |
| While doing so, you must verify that each randomly initialized weight of your PyTorch model and its corresponding | |
| pretrained checkpoint weight exactly match in both shape and name. |