[Pytorch] Add python binding to use mobile cpu allocator. (#52323)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/52323
Using default cpu allocator for ops executed on qnnpack backend will result in
asan failures with heap overflow since qnnpack (and xnnpack) can access input
beyond their and/beginning.
Here we are enabling this feature specifically to enable dynamic sparse linear op test
using qnnpack engine. In dynamic linear op, the fp32 bias is not packed and
hence can result in out-of-bound access.
Test Plan: test_set_default_mobile_cpu_allocator.py
Reviewed By: z-a-f
Differential Revision: D26263481
fbshipit-source-id: a49227cac7e6781b0db4a156ca734d7671972d9f
