Very simple multi-layer perceptron (also called FFN)
| 135 | |
| 136 | |
| 137 | class MLP(nn.Module): |
| 138 | """Very simple multi-layer perceptron (also called FFN)""" |
| 139 | |
| 140 | def __init__(self, input_dim, hidden_dim, output_dim, num_layers): |
| 141 | super().__init__() |
| 142 | self.num_layers = num_layers |
| 143 | h = [hidden_dim] * (num_layers - 1) |
| 144 | self.layers = nn.ModuleList( |
| 145 | nn.Linear(n, k) for n, k in zip([input_dim] + h, h + [output_dim]) |
| 146 | ) |
| 147 | |
| 148 | def forward(self, x): |
| 149 | for i, layer in enumerate(self.layers): |
| 150 | x = F.relu(layer(x)) if i < self.num_layers - 1 else layer(x) |
| 151 | return x |
| 152 | |
| 153 | |
| 154 | def _get_activation_fn(activation, d_model=256, batch_dim=0): |