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Shouldn't this line in mpnn.py:
edge_embeddings = F.relu(self.edge_feature_NN(torch.cat([embedded_edges, norm / norm.max()],dim=-1)))
be replaced with something like: max_values, _ = torch.max(norm, dim=1, keepdim=True) edge_embeddings = F.relu(self.edge_feature_NN(torch.cat([embedded_edges, norm / max_values], dim=-1))
so that the batches are each divided by the max of their part of the norm tensor?
The text was updated successfully, but these errors were encountered:
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Shouldn't this line in mpnn.py:
edge_embeddings = F.relu(self.edge_feature_NN(torch.cat([embedded_edges, norm / norm.max()],dim=-1)))
be replaced with something like:
max_values, _ = torch.max(norm, dim=1, keepdim=True)
edge_embeddings = F.relu(self.edge_feature_NN(torch.cat([embedded_edges, norm / max_values], dim=-1))
so that the batches are each divided by the max of their part of the norm tensor?
The text was updated successfully, but these errors were encountered: