diff --git a/check_gpu.py b/check_gpu.py
deleted file mode 100644
index f8daa9e..0000000
--- a/check_gpu.py
+++ /dev/null
@@ -1,18 +0,0 @@
-import torch
-
-if torch.cuda.is_available():
-    print(f"CUDA is available. GPU: {torch.cuda.get_device_name(0)}")
-    print(f"PyTorch CUDA version: {torch.version.cuda}")
-else:
-    print("CUDA is not available. PyTorch is running on CPU.")
-
-# Check torchvision
-try:
-    import torchvision
-
-    print(f"Torchvision version: {torchvision.__version__}")
-    # You might need specific torchvision ops to fully check GPU integration,
-    # but successful import and version check is a good start.
-    print("Torchvision imported successfully.")
-except ImportError:
-    print("Torchvision could not be imported.")