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/1.3/utils/src/Conversions.cpp b/neuralnetworks/1.3/utils/src/Conversions.cpp
index d96588e..6e74a62 100644
--- a/neuralnetworks/1.3/utils/src/Conversions.cpp
+++ b/neuralnetworks/1.3/utils/src/Conversions.cpp
@@ -261,7 +261,7 @@
using Discriminator = hal::V1_3::Request::MemoryPool::hidl_discriminator;
switch (memoryPool.getDiscriminator()) {
case Discriminator::hidlMemory:
- return createSharedMemoryFromHidlMemory(memoryPool.hidlMemory());
+ return hal::utils::createSharedMemoryFromHidlMemory(memoryPool.hidlMemory());
case Discriminator::token:
return static_cast<Request::MemoryDomainToken>(memoryPool.token());
}