Use Eigen blas for custom sdpa (pytorch#6229)

Summary:
Pull Request resolved: pytorch#6229

OpenBlas's implementation is not thread safe. Thus when used within
parallel_for, it produces incorrect output. This has been documented in a few
places like here OpenMathLib/OpenBLAS#1441 and
OpenMathLib/OpenBLAS#2543.

I tried few options to disable openblas's multithreading but none of them
seemed to work.

It is possible that upstream openblas has fixed this. Will validate this by
pulling in latest, but in the meanwhile using eigen_blas to unblock.
ghstack-source-id: 248095356
exported-using-ghexport

Reviewed By: cccclai

Differential Revision: D64398816

fbshipit-source-id: 46f2d10855007e35e5d6fb925e494f12330978fa

kernels/optimized/lib_defs.bzl

@@ -144,7 +144,7 @@ def define_libs():
                 (
                     "^android-arm64.*$",
                     [
-                        "fbsource//third-party/openblas:openblas",
+                        "fbsource//arvr/third-party/eigen:eigen3_blas",
                     ],
                 ),
             ],