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https://docs.python.org/3/c-api/typeobj.html#c.PyBufferProcs.bf_getbuffer
does not mention any requirement for the callee to hold the GIL or otherwise prevent Python GC to write to the view
argument. One might think this is safe, because one has no particular reason to think that the view
object is shared between threads and that the bf_getbuffer
implementation has exclusive access to it.
However, the view
object can be allocated from GC memory, e.g., in
cpython/Objects/memoryobject.c
Line 72 in 4f07fd5
mbuf_alloc(void) |
and this means that we may see concurrent GC traversals if we do not prevent GC (e.g., by holding the GIL).
Under free-threading mode, I saw the following race in the JAX test suite which I believe stems from this problem:
WARNING: ThreadSanitizer: data race (pid=268192)
Read of size 8 at 0x7fffc2221a38 by thread T69 (mutexes: read M0):
#0 mbuf_traverse /__w/jax/jax/cpython/Objects/memoryobject.c:134:5 (python3.13+0x27f190) (BuildId: 5001c71441642d7e6efdfc82265e7ee63d55228e)
#1 update_refs /__w/jax/jax/cpython/Python/gc_free_threading.c:441:5 (python3.13+0x44854a) (BuildId: 5001c71441642d7e6efdfc82265e7ee63d55228e)
#2 _mi_heap_area_visit_blocks /__w/jax/jax/cpython/Objects/mimalloc/heap.c:630:14 (python3.13+0x2a9fe4) (BuildId: 5001c71441642d7e6efdfc82265e7ee63d55228e)
#3 mi_heap_area_visitor /__w/jax/jax/cpython/Objects/mimalloc/heap.c:681:12 (python3.13+0x2aa547) (BuildId: 5001c71441642d7e6efdfc82265e7ee63d55228e)
#4 mi_heap_visit_areas_page /__w/jax/jax/cpython/Objects/mimalloc/heap.c:661:10 (python3.13+0x2aa547)
#5 mi_heap_visit_pages /__w/jax/jax/cpython/Objects/mimalloc/heap.c:46:12 (python3.13+0x2aa547)
#6 mi_heap_visit_areas /__w/jax/jax/cpython/Objects/mimalloc/heap.c:667:10 (python3.13+0x2aa547)
#7 mi_heap_visit_blocks /__w/jax/jax/cpython/Objects/mimalloc/heap.c:692:10 (python3.13+0x2aa547)
#8 gc_visit_heaps_lock_held /__w/jax/jax/cpython/Python/gc_free_threading.c:267:14 (python3.13+0x4446ff) (BuildId: 5001c71441642d7e6efdfc82265e7ee63d55228e)
#9 gc_visit_heaps /__w/jax/jax/cpython/Python/gc_free_threading.c:306:11 (python3.13+0x4446ff)
#10 deduce_unreachable_heap /__w/jax/jax/cpython/Python/gc_free_threading.c:614:5 (python3.13+0x4458db) (BuildId: 5001c71441642d7e6efdfc82265e7ee63d55228e)
#11 gc_collect_internal /__w/jax/jax/cpython/Python/gc_free_threading.c:1126:15 (python3.13+0x4458db)
#12 gc_collect_main /__w/jax/jax/cpython/Python/gc_free_threading.c:1239:5 (python3.13+0x4458db)
#13 _Py_RunGC /__w/jax/jax/cpython/Python/gc_free_threading.c:1684:5 (python3.13+0x44730e) (BuildId: 5001c71441642d7e6efdfc82265e7ee63d55228e)
Previous write of size 8 at 0x7fffc2221a38 by thread T68 (mutexes: read M0):
#0 __tsan_memset (python3.13+0xda21d) (BuildId: 5001c71441642d7e6efdfc82265e7ee63d55228e)
#1 memset /usr/include/x86_64-linux-gnu/bits/string_fortified.h:59:10 (xla_extension.so+0xa7a60ec) (BuildId: 0cb922163d5a5c8d99583339143c71c4c2e776b1)
#2 xla::(anonymous namespace)::PyArray_bf_getbuffer(_object*, Py_buffer*, int)::$_0::operator()() const /proc/self/cwd/external/xla/xla/python/py_array.cc:1601:5 (xla_extension.so+0xa7a60ec)
#3 xla::(anonymous namespace)::PyArray_bf_getbuffer(_object*, Py_buffer*, int) /proc/self/cwd/external/xla/xla/python/py_array.cc:1518:25 (xla_extension.so+0xa7a60ec)
#4 PyObject_GetBuffer /__w/jax/jax/cpython/Objects/abstract.c:442:15 (python3.13+0x1ba90d) (BuildId: 5001c71441642d7e6efdfc82265e7ee63d55228e)
#5 _PyManagedBuffer_FromObject /__w/jax/jax/cpython/Objects/memoryobject.c:97:9 (python3.13+0x27fdf5) (BuildId: 5001c71441642d7e6efdfc82265e7ee63d55228e)
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