Hi, We made progress on the following issue and the latest patch (calloc-5.patch) is ready for a review: http://bugs.python.org/issue21233
This issue should help numpy to reuse Python memory allocators to use the new tracemalloc module of Python 3.4. The issue is only for Python 3.5. It was also discussed that numpy might require a memory allocator with a specified alignment for SIMD instructions. This topic is discussed in a different issue: http://bugs.python.org/issue18835 Summary of calloc-5.patch: - add the following functions: * void* PyMem_RawCalloc(size_t nelem, size_t elsize) * void* PyMem_Calloc(size_t nelem, size_t elsize) * void* PyObject_Calloc(size_t nelem, size_t elsize) * PyObject* _PyObject_GC_Calloc(size_t basicsize) - add "void* calloc(void *ctx, size_t nelem, size_t elsize)" field to the PyMemAllocator structure - optimize bytes(n) and bytearray(n) to allocate objects using calloc() instead of malloc() - update tracemalloc to trace also calloc() - document new functions and add unit tests for the calloc "hook" (in _testcapi) Victor _______________________________________________ Python-Dev mailing list Python-Dev@python.org https://mail.python.org/mailman/listinfo/python-dev Unsubscribe: https://mail.python.org/mailman/options/python-dev/archive%40mail-archive.com
