Store AHWB in NN canonical memory type -- hal

Prior to this CL, the canonical memory type only held a SharedHandle,
which mirrors the behavior of native_handle_t/hidl_handle. This means
memory types including AHardwareBuffer were stored as this SharedHandle
type. With this CL, the canonical memory type is stored directly as
AHardwareBuffer to avoid using non-NDK AHardwareBuffer calls in the NN
runtime.

Bug: 179906132
Test: mma
Test: NeuralNetworksTest_static
Test: presubmit
Change-Id: I394071c193d15ac0c90ac47e5a2a9a79c635db6c
Merged-In: I394071c193d15ac0c90ac47e5a2a9a79c635db6c
(cherry picked from commit bbe43d950e981cfb5c06622c8f80b57ab60b0497)
diff --git a/neuralnetworks/utils/common/Android.bp b/neuralnetworks/utils/common/Android.bp
index 6c491ae..50295f1 100644
--- a/neuralnetworks/utils/common/Android.bp
+++ b/neuralnetworks/utils/common/Android.bp
@@ -22,10 +22,12 @@
     export_include_dirs: ["include"],
     cflags: ["-Wthread-safety"],
     static_libs: [
+        "libarect",
         "neuralnetworks_types",
     ],
     shared_libs: [
         "libhidlbase",
+        "libnativewindow",
     ],
 }