Method
__init__
(self, input_dim, hidden_dim, output_dim, num_layers)
Source from the content-addressed store, hash-verified
| 20 | """ Very simple multi-layer perceptron (also called FFN)""" |
| 21 | |
| 22 | def __init__(self, input_dim, hidden_dim, output_dim, num_layers): |
| 23 | super().__init__() |
| 24 | self.num_layers = num_layers |
| 25 | h = [hidden_dim] * (num_layers - 1) |
| 26 | self.layers = nn.ModuleList(nn.Linear(n, k) for n, k in zip([input_dim] + h, h + [output_dim])) |
| 27 | |
| 28 | def forward(self, x): |
| 29 | for i, layer in enumerate(self.layers): |
Tested by
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