Fix bug where save_intermediates is sometimes ignored. (#465)

Co-authored-by: virginiafdez <virginia.fernandez@kcl.ac.uk>

Author: virginiafdez

generative/inferers/inferer.py

@@ -457,9 +457,10 @@ def sample(
 
         if self.autoencoder_latent_shape is not None:
             latent = torch.stack([self.autoencoder_resizer(i) for i in decollate_batch(latent)], 0)
-            latent_intermediates = [
-                torch.stack([self.autoencoder_resizer(i) for i in decollate_batch(l)], 0) for l in latent_intermediates
-            ]
+            if save_intermediates:
+                latent_intermediates = [
+                    torch.stack([self.autoencoder_resizer(i) for i in decollate_batch(l)], 0) for l in latent_intermediates
+                ]
 
         decode = autoencoder_model.decode_stage_2_outputs
         if isinstance(autoencoder_model, SPADEAutoencoderKL):
@@ -991,9 +992,10 @@ def sample(
 
         if self.autoencoder_latent_shape is not None:
             latent = torch.stack([self.autoencoder_resizer(i) for i in decollate_batch(latent)], 0)
-            latent_intermediates = [
-                torch.stack([self.autoencoder_resizer(i) for i in decollate_batch(l)], 0) for l in latent_intermediates
-            ]
+            if save_intermediates:
+                latent_intermediates = [
+                    torch.stack([self.autoencoder_resizer(i) for i in decollate_batch(l)], 0) for l in latent_intermediates
+                ]
 
         decode = autoencoder_model.decode_stage_2_outputs
         if isinstance(autoencoder_model, SPADEAutoencoderKL):