(self, x, x_mark)
| 158 | self.dropout = nn.Dropout(p=dropout) |
| 159 | |
| 160 | def forward(self, x, x_mark): |
| 161 | x = self.value_embedding(x) + self.temporal_embedding(x_mark) + self.position_embedding(x) |
| 162 | return self.dropout(x) |
| 163 | |
| 164 | class DataEmbedding_mine(nn.Module): |
| 165 | def __init__(self, c_in, d_model, embed_type='fixed', freq='h', dropout=0.1, is_decoder=False): |
nothing calls this directly
no outgoing calls
no test coverage detected