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Running on Zero
| """Activation functions.""" | |
| import torch.nn.functional as F | |
| from torch import Tensor, nn | |
| class SwiGLU(nn.Module): | |
| """SwiGLU activation function.""" | |
| def forward(self, x: Tensor) -> Tensor: | |
| """Forward pass.""" | |
| x, gates = x.chunk(2, dim=-1) | |
| return x * F.silu(gates) | |
| class GEGLU(nn.Module): | |
| """GEGLU activation function.""" | |
| def forward(self, x: Tensor) -> Tensor: | |
| """Forward pass.""" | |
| x, gates = x.chunk(2, dim=-1) | |
| return x * F.gelu(gates) | |