From c5f70e004943641b2e007fecaf48d578ae8e3bb5 Mon Sep 17 00:00:00 2001
From: Anwai Archit <52396323+anwai98@users.noreply.github.com>
Date: Sun, 19 Jan 2025 20:24:22 +0100
Subject: [PATCH] Update dice weight constraints for flexible loss weighting
 (#839)

---
 micro_sam/training/semantic_sam_trainer.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/micro_sam/training/semantic_sam_trainer.py b/micro_sam/training/semantic_sam_trainer.py
index 61259482..84b421ad 100644
--- a/micro_sam/training/semantic_sam_trainer.py
+++ b/micro_sam/training/semantic_sam_trainer.py
@@ -70,8 +70,8 @@ def __init__(self, convert_inputs, num_classes: int, dice_weight: Optional[float
         self.compute_ce_loss = nn.CrossEntropyLoss()
         self.dice_weight = dice_weight
 
-        if self.dice_weight is not None:
-            assert self.dice_weight > 0 and self.dice_weight < 1, "The weight factor should lie between 0 and 1."
+        if self.dice_weight is not None and (self.dice_weight < 0 or self.dice_weight > 1):
+            raise ValueError("The weight factor should lie between 0 and 1.")
 
         self._kwargs = kwargs