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Diffstat (limited to 'code/sunlab/suntorch/models/encoder.py')
-rw-r--r-- | code/sunlab/suntorch/models/encoder.py | 32 |
1 files changed, 32 insertions, 0 deletions
diff --git a/code/sunlab/suntorch/models/encoder.py b/code/sunlab/suntorch/models/encoder.py new file mode 100644 index 0000000..e6f88c7 --- /dev/null +++ b/code/sunlab/suntorch/models/encoder.py @@ -0,0 +1,32 @@ +import torch.nn as nn +import torch.nn.functional as F + + +class Encoder(nn.Module): + """# Encoder Neural Network + X_dim: Input dimension shape + N: Inner neuronal layer size + z_dim: Output dimension shape + """ + + def __init__(self, X_dim, N, z_dim, dropout=0.0, negative_slope=0.3): + super(Encoder, self).__init__() + self.lin1 = nn.Linear(X_dim, N) + self.lin2 = nn.Linear(N, N) + self.lin3gauss = nn.Linear(N, z_dim) + self.p = dropout + self.negative_slope = negative_slope + + def forward(self, x): + x = self.lin1(x) + if self.p > 0.0: + x = F.dropout(x, p=self.p, training=self.training) + x = F.leaky_relu(x, negative_slope=self.negative_slope) + + x = self.lin2(x) + if self.p > 0.0: + x = F.dropout(x, p=self.p, training=self.training) + x = F.leaky_relu(x, negative_slope=self.negative_slope) + + xgauss = self.lin3gauss(x) + return xgauss |