Minor fixes

examples/demo_custom_layer_backend_agnostic.py

@@ -10,9 +10,6 @@ from keras_core import ops
 from keras_core import optimizers
 
 
-keras_core.config.disable_traceback_filtering()
-
-
 class MyDense(layers.Layer):
     def __init__(self, units, name=None):
         super().__init__(name=name)

keras_core/backend/torch/random.py

@@ -14,7 +14,7 @@ def torch_seed_generator(seed):
     seed_val, _ = draw_seed(seed)
     device = get_device()
     if device == "meta":
-        # Generator is not support by the meta device.
+        # Generator is not supported by the meta device.
         return None
     generator = torch.Generator(device=get_device())
     generator.manual_seed(int(seed_val))