Add get_prototype_grid method
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@ -31,6 +31,13 @@ class PrototypeImageModel(pl.LightningModule):
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def on_train_batch_end(self, outputs, batch, batch_idx, dataloader_idx):
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self.proto_layer.components.data.clamp_(0.0, 1.0)
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def get_prototype_grid(self, nrow=2, return_channels_last=True):
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from torchvision.utils import make_grid
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grid = make_grid(self.components, nrow=nrow)
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if return_channels_last:
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grid = grid.permute((1, 2, 0))
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return grid.cpu()
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class SiamesePrototypeModel(pl.LightningModule):
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def configure_optimizers(self):
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