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hub / github.com/DeepGraphLearning/S3F / FusionNetwork

Class FusionNetwork

s3f/model.py:76–102  ·  view source on GitHub ↗

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74
75@R.register("models.FusionNetwork")
76class FusionNetwork(nn.Module, core.Configurable):
77
78 def __init__(self, sequence_model, structure_model):
79 super(FusionNetwork, self).__init__()
80 self.sequence_model = sequence_model
81 self.structure_model = structure_model
82 self.output_dim = structure_model.output_dim
83
84 def forward(self, graph, input, all_loss=None, metric=None, batch=None):
85 # Sequence model
86 output1 = self.sequence_model(graph, input, all_loss, metric)
87 if "logits" in output1:
88 logits = output1["logits"]
89 else:
90 logits = None
91 node_output1 = output1["residue_feature"]
92
93 # Structure model
94 output2 = self.structure_model(graph, node_output1, all_loss, metric)
95 node_feature = output2["node_feature"]
96 graph_feature = output2["graph_feature"]
97
98 return {
99 "graph_feature": graph_feature,
100 "node_feature": node_feature,
101 "sequence_logits": logits,
102 }

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