make sure inception v3 is in eval mode for fid, thanks to @suheey

Author: lucidrains

denoising_diffusion_pytorch/fid_evaluation.py

@@ -48,7 +48,10 @@ def __init__(
     def calculate_inception_features(self, samples):
         if self.channels == 1:
             samples = repeat(samples, "b 1 ... -> b c ...", c=3)
+
+        self.inception_v3.eval()
         features = self.inception_v3(samples)[0]
+
         if features.size(2) != 1 or features.size(3) != 1:
             features = adaptive_avg_pool2d(features, output_size=(1, 1))
         features = rearrange(features, "... 1 1 -> ...")

denoising_diffusion_pytorch/version.py

@@ -1 +1 @@
-__version__ = '1.8.4'
+__version__ = '1.8.5'