| 99 | |
| 100 | |
| 101 | class MovementConvDecoder(nn.Module): |
| 102 | def __init__(self, input_size, hidden_size, output_size): |
| 103 | super(MovementConvDecoder, self).__init__() |
| 104 | self.main = nn.Sequential( |
| 105 | nn.ConvTranspose1d(input_size, hidden_size, 4, 2, 1), |
| 106 | # nn.Dropout(0.2, inplace=True), |
| 107 | nn.LeakyReLU(0.2, inplace=True), |
| 108 | nn.ConvTranspose1d(hidden_size, output_size, 4, 2, 1), |
| 109 | # nn.Dropout(0.2, inplace=True), |
| 110 | nn.LeakyReLU(0.2, inplace=True), |
| 111 | ) |
| 112 | self.out_net = nn.Linear(output_size, output_size) |
| 113 | |
| 114 | self.main.apply(init_weight) |
| 115 | self.out_net.apply(init_weight) |
| 116 | |
| 117 | def forward(self, inputs): |
| 118 | inputs = inputs.permute(0, 2, 1) |
| 119 | outputs = self.main(inputs).permute(0, 2, 1) |
| 120 | return self.out_net(outputs) |
| 121 | |
| 122 | |
| 123 | class TextVAEDecoder(nn.Module): |
nothing calls this directly
no outgoing calls
no test coverage detected