use torch.compiler.is_compiling() when possible

src/transformers/utils/import_utils.py

@@ -642,12 +642,8 @@ def is_torch_mlu_available(check_device=False):
 def is_torchdynamo_available():
     if not is_torch_available():
         return False
-    try:
-        import torch._dynamo as dynamo  # noqa: F401
 
-        return True
-    except Exception:
-        return False
+    return version.parse(_torch_version) >= version.parse("2.0.0")
 
 
 def is_torch_compile_available():
@@ -665,9 +661,15 @@ def is_torchdynamo_compiling():
     if not is_torch_available():
         return False
     try:
-        import torch._dynamo as dynamo  # noqa: F401
+        # Importing torch._dynamo causes issues with PyTorch profiler (https://github.com/pytorch/pytorch/issues/130622) hence rather relying on `torch.compiler.is_compiling()` when possible.
+        if version.parse(_torch_version) >= version.parse("2.3.0"):
+            import torch
+
+            return torch.compiler.is_compiling()
+        else:
+            import torch._dynamo as dynamo  # noqa: F401
 
-        return dynamo.is_compiling()
+            return dynamo.is_compiling()
     except Exception:
         return False