[mlir:python] Construct PyOperation objects in-place on the Python heap. (#123813)

Currently we make two memory allocations for each PyOperation: a Python
object, and the PyOperation class itself. With some care we can allocate
the PyOperation inline inside the Python object, saving us a malloc()
call per object and perhaps improving cache locality.

1 files changed, 2 insertions, 1 deletions

diff --git a/mlir/lib/Bindings/Python/IRModule.h b/mlir/lib/Bindings/Python/IRModule.h
index 2228b55..fd70ac7 100644
--- a/mlir/lib/Bindings/Python/IRModule.h
+++ b/mlir/lib/Bindings/Python/IRModule.h
@@ -705,8 +705,9 @@ public:
   /// Clones this operation.
   nanobind::object clone(const nanobind::object &ip);
 
-private:
   PyOperation(PyMlirContextRef contextRef, MlirOperation operation);
+
+private:
   static PyOperationRef createInstance(PyMlirContextRef contextRef,
                                        MlirOperation operation,
                                        nanobind::object parentKeepAlive);