Rearrangement of comparisons.

Signed-off-by: Emanuele Ballarin <[email protected]>

ebtorch/optim/adopt.py

@@ -57,15 +57,15 @@ def __init__(
                 raise ValueError(_nocapture_err)
             if lr.numel() != 1:
                 raise ValueError("Tensor lr must be 1-element")
-        if 0.0 > lr:
+        if lr < 0.0:
             raise ValueError(f"Invalid learning rate: {lr}")
-        if 0.0 > eps:
+        if eps < 0.0:
             raise ValueError(f"Invalid epsilon value: {eps}")
         if not 0.0 <= betas[0] < 1.0:
             raise ValueError(f"Invalid beta parameter at index 0: {betas[0]}")
         if not 0.0 <= betas[1] < 1.0:
             raise ValueError(f"Invalid beta parameter at index 1: {betas[1]}")
-        if 0.0 > weight_decay:
+        if weight_decay < 0.0:
             raise ValueError(f"Invalid weight_decay value: {weight_decay}")
 
         defaults = dict(

setup.py

@@ -26,7 +26,7 @@ def read(fname):
 
 setup(
     name=PACKAGENAME,
-    version="0.28.0",
+    version="0.28.1",
     author="Emanuele Ballarin",
     author_email="[email protected]",
     url="https://github.com/emaballarin/ebtorch",