linting

check.py

@@ -1,6 +1,6 @@
 # import matplotlib.patches as patches
-from typing import Union
 from pathlib import Path
+from typing import Union
 
 import matplotlib.patches as patches
 import matplotlib.pyplot as plt
@@ -46,8 +46,10 @@ def create_circle(
     ckpt: Union[str, ColorTransformerModel], fname: str, skip: bool = True, **kwargs
 ):
     if isinstance(ckpt, str):
-        import yaml
-        M = ColorTransformerModel.load_from_checkpoint(ckpt, map_location=lambda storage, loc: storage)
+
+        M = ColorTransformerModel.load_from_checkpoint(
+            ckpt, map_location=lambda storage, loc: storage
+        )
     else:
         M = ckpt
 
@@ -152,7 +154,9 @@ if __name__ == "__main__":
         if len(ckpt) > 0:
             ckpt = ckpt[-1]
             print(f"Generating image for checkpoint: {ckpt}")
-            create_circle(ckpt, fname=name, dpi=args.dpi, figsize=[args.figsize] * 2, roll=False)
+            create_circle(
+                ckpt, fname=name, dpi=args.dpi, figsize=[args.figsize] * 2, roll=False
+            )
         else:
             print(f"No checkpoint found for version {v}")
         # make_image(ckpt, fname=name + "b", color=False, dpi=args.dpi,)

newsearch.py

@@ -27,7 +27,7 @@ learning_rate_values = [1e-3]
 # learning_rate_values = [5e-4]
 
 # alpha_values = [0, .25, 0.5, 0.75, 1]  # alpha = 0 is unsupervised. alpha = 1 is supervised.
-alpha_values = [0]
+alpha_values = [0.1]
 # widths = [2**k for k in range(4, 13)]
 # depths = [1, 2, 4, 8, 16]
 widths, depths = [512], [4]
@@ -80,7 +80,7 @@ python newmain.py fit \
 --model.depth {d} \
 --model.bias true \
 --model.loop true \
---model.transform tanh \
+--model.transform relu \
 --trainer.min_epochs 10 \
 --trainer.max_epochs {me} \
 --trainer.log_every_n_steps 3 \