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fix: siameseGLVQ checks requires_grad of backbone

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Necessary for different optimizer runs
This commit is contained in:
Alexander Engelsberger
2022-03-29 17:08:40 +02:00
parent fab786a07e
commit 41f0e77fc9
1 changed files with 6 additions and 2 deletions
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8
prototorch/models/glvq.py
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@@ -147,9 +147,13 @@ class SiameseGLVQ(GLVQ):
protos, _ = self.proto_layer() protos, _ = self.proto_layer()
x, protos = [arr.view(arr.size(0), -1) for arr in (x, protos)] x, protos = [arr.view(arr.size(0), -1) for arr in (x, protos)]
latent_x = self.backbone(x) latent_x = self.backbone(x)
self.backbone.requires_grad_(self.both_path_gradients)
bb_grad = self.backbone._weights.requires_grad
self.backbone.requires_grad_(bb_grad and self.both_path_gradients)
latent_protos = self.backbone(protos) latent_protos = self.backbone(protos)
self.backbone.requires_grad_(True) self.backbone.requires_grad_(bb_grad)
distances = self.distance_layer(latent_x, latent_protos) distances = self.distance_layer(latent_x, latent_protos)
return distances return distances