diff --git a/src/compressed_tensors/compressors/sparse_compressors/base.py b/src/compressed_tensors/compressors/sparse_compressors/base.py
index 735c6c2c..7cd6e8e8 100644
--- a/src/compressed_tensors/compressors/sparse_compressors/base.py
+++ b/src/compressed_tensors/compressors/sparse_compressors/base.py
@@ -78,8 +78,7 @@ def compress(
             f"Compressing model with {len(model_state)} parameterized layers..."
         )
         for name, value in tqdm(model_state.items(), desc="Compressing model"):
-            ignored = not self.should_compress(name, compression_targets)
-            if ignored:
+            if not self.should_compress(name, compression_targets):
                 compressed_dict[name] = value
                 continue
             prefix = name
diff --git a/tests/testing_utils.py b/tests/testing_utils.py
index 9137fdf8..ebe7a0c6 100644
--- a/tests/testing_utils.py
+++ b/tests/testing_utils.py
@@ -130,7 +130,7 @@ def induce_sparsity(tensor, sparsity_ratio) -> "torch.Tensor":
 
 def is_gpu_available():
     """
-    Check for GPU and warn if not found
+    :return: True if a GPU is available, False otherwise
     """
     try:
         import torch  # noqa: F401