# Copyright (c) 2021. Lucas G. S. Jeub
#
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import torch
[docs]
class EmbeddingMixin:
[docs]
def embed(self, data):
"""
Compute embedding for model and data
Args:
data: network
Returns:
embedding coords for nodes
This function switches the model to eval state before computing the embedding and restores the original
training state of the model
"""
train_state = self.training
self.training = False
with torch.no_grad():
coords = self.encode(data)
self.training = train_state
return coords