[Mlir-commits] [mlir] [mlir][python] fix PyDenseResourceElementsAttribute finalizer (PR #150561)
Maksim Levental
llvmlistbot at llvm.org
Fri Jul 25 04:57:30 PDT 2025
https://github.com/makslevental updated https://github.com/llvm/llvm-project/pull/150561
>From e5d3fd3eabbb0ffa77d296668f76a5638b319969 Mon Sep 17 00:00:00 2001
From: Maksim Levental <maksim.levental at gmail.com>
Date: Thu, 24 Jul 2025 20:52:26 -0400
Subject: [PATCH] [mlir][python] fix PyDenseResourceElementsAttribute finalizer
Co-authored-by: Anton Korobeynikov <anton at korobeynikov.info>
Co-authored-by: Max Manainen <maximmanainen at gmail.com>
---
mlir/lib/Bindings/Python/IRAttributes.cpp | 13 ++++++++++---
mlir/test/python/ir/array_attributes.py | 22 ++++++++++++++++++++--
2 files changed, 30 insertions(+), 5 deletions(-)
diff --git a/mlir/lib/Bindings/Python/IRAttributes.cpp b/mlir/lib/Bindings/Python/IRAttributes.cpp
index 8f79caf08a6d0..db84ee1fcbce9 100644
--- a/mlir/lib/Bindings/Python/IRAttributes.cpp
+++ b/mlir/lib/Bindings/Python/IRAttributes.cpp
@@ -16,8 +16,8 @@
#include "NanobindUtils.h"
#include "mlir-c/BuiltinAttributes.h"
#include "mlir-c/BuiltinTypes.h"
-#include "mlir/Bindings/Python/NanobindAdaptors.h"
#include "mlir/Bindings/Python/Nanobind.h"
+#include "mlir/Bindings/Python/NanobindAdaptors.h"
#include "llvm/ADT/ScopeExit.h"
#include "llvm/Support/raw_ostream.h"
@@ -1428,6 +1428,12 @@ class PyDenseIntElementsAttribute
}
};
+// Check if the python version is less than 3.13. Py_IsFinalizing is a part
+// of stable ABI since 3.13 and before it was available as _Py_IsFinalizing.
+#if PY_VERSION_HEX < 0x030d0000
+#define Py_IsFinalizing _Py_IsFinalizing
+#endif
+
class PyDenseResourceElementsAttribute
: public PyConcreteAttribute<PyDenseResourceElementsAttribute> {
public:
@@ -1474,8 +1480,9 @@ class PyDenseResourceElementsAttribute
// The userData is a Py_buffer* that the deleter owns.
auto deleter = [](void *userData, const void *data, size_t size,
size_t align) {
- if (!Py_IsInitialized())
- Py_Initialize();
+ if (Py_IsFinalizing())
+ return;
+ assert(Py_IsInitialized() && "expected interpreter to be initialized");
Py_buffer *ownedView = static_cast<Py_buffer *>(userData);
nb::gil_scoped_acquire gil;
PyBuffer_Release(ownedView);
diff --git a/mlir/test/python/ir/array_attributes.py b/mlir/test/python/ir/array_attributes.py
index ef1d835fc6401..66f7ec8e7fff1 100644
--- a/mlir/test/python/ir/array_attributes.py
+++ b/mlir/test/python/ir/array_attributes.py
@@ -31,6 +31,7 @@ def testGetDenseElementsUnsupported():
# CHECK: unimplemented array format conversion from format:
print(e)
+
# CHECK-LABEL: TEST: testGetDenseElementsUnSupportedTypeOkIfExplicitTypeProvided
@run
def testGetDenseElementsUnSupportedTypeOkIfExplicitTypeProvided():
@@ -41,8 +42,9 @@ def testGetDenseElementsUnSupportedTypeOkIfExplicitTypeProvided():
# realistic example would be a NumPy extension type like the bfloat16
# type from the ml_dtypes package, which isn't a dependency of this
# test.
- attr = DenseElementsAttr.get(array.view(np.datetime64),
- type=IntegerType.get_signless(64))
+ attr = DenseElementsAttr.get(
+ array.view(np.datetime64), type=IntegerType.get_signless(64)
+ )
# CHECK: dense<{{\[}}[1, 2, 3], [4, 5, 6]]> : tensor<2x3xi64>
print(attr)
# CHECK: {{\[}}[1 2 3]
@@ -135,6 +137,7 @@ def testGetDenseElementsFromListMixedTypes():
# Splats.
################################################################################
+
# CHECK-LABEL: TEST: testGetDenseElementsSplatInt
@run
def testGetDenseElementsSplatInt():
@@ -617,3 +620,18 @@ def test_attribute(context, mview):
# CHECK: BACKING MEMORY DELETED
# CHECK: EXIT FUNCTION
print("EXIT FUNCTION")
+
+
+# CHECK-LABEL: TEST: testDanglingResource
+print("TEST: testDanglingResource")
+# see https://github.com/llvm/llvm-project/pull/149414, https://github.com/llvm/llvm-project/pull/150137, https://github.com/llvm/llvm-project/pull/150561
+# This error occurs only when there is an alive context with a DenseResourceElementsAttr
+# in the end of the program, so we put it here without an encapsulating function.
+ctx = Context()
+
+with ctx, Location.unknown():
+ DenseResourceElementsAttr.get_from_buffer(
+ memoryview(np.array([1, 2, 3])),
+ "some_resource",
+ RankedTensorType.get((3,), IntegerType.get_signed(32)),
+ )
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