Lapo Frati lfrati
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| # Taken from https://johanwind.github.io/2023/03/23/rwkv_details.html. | |
| # I've added additional comments restructured it a tiny bit, which makes it clearer for me. | |
| import numpy as np | |
| from torch import load as torch_load # Only for loading the model weights | |
| from tokenizers import Tokenizer | |
| exp = np.exp | |
| layer_norm = lambda x, w, b : (x - np.mean(x)) / np.std(x) * w + b | |
| sigmoid = lambda x : 1/(1 + exp(-x)) |
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| """Toy examples for torch.autograd.grad.""" | |
| import torch | |
| from torch.autograd import Variable | |
| # Input | |
| x = torch.tensor([1., 2., 3.], requires_grad=True) | |
| # Weights | |
| w1 = torch.tensor([2., 3., 4.]), requires_grad=True) |