Document that bf_getbuffer must prevent GC (only under freethreading?) to write to its `view` argument
Ninguém assumiu esta issue ainda.
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Descrição
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 https://github.com/python/cpython/blob/4f07fd59cbd2656ae31e164098b8d10c5b7e51f0/Objects/memoryobject.c#L72
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)
Guia de contribuição
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- Leia a issue inteira e depois o guia de contribuição do projeto.
- Comente na issue dizendo que vai assumir — evita que duas pessoas façam o mesmo trabalho.
- Faça um fork do repositório e trabalhe em uma branch.
- Abra um pull request que referencie o número da issue.
Direção de pesquisa
Comece pela referência da C API em docs.python.org/3/c-api/typeobj.html, com foco em PyBufferProcs.bf_getbuffer, e inspecione, para obter contexto, o local de alocação vinculado em Objects/memoryobject.c. Esclareça se o requisito se aplica somente ao free-threading mode e documente como as implementações devem proteger as escritas no argumento view; considera-se concluído quando a documentação da API declarar explicitamente o requisito de sincronização aplicável.
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