Implement full canonical Burst in NN util code

Bug: 180492058
Bug: 177267324
Test: mma
Test: presubmit
Change-Id: I5018f6cf2dbaf705f74f4f46318142c64433e19d
Merged-In: I5018f6cf2dbaf705f74f4f46318142c64433e19d
(cherry picked from commit acff4063b63c04cbb28af87eab61e9a1fa70980a)
diff --git a/neuralnetworks/1.3/utils/Android.bp b/neuralnetworks/1.3/utils/Android.bp
index 2b1dcc4..28c036a 100644
--- a/neuralnetworks/1.3/utils/Android.bp
+++ b/neuralnetworks/1.3/utils/Android.bp
@@ -42,6 +42,7 @@
         "android.hardware.neuralnetworks@1.1",
         "android.hardware.neuralnetworks@1.2",
         "android.hardware.neuralnetworks@1.3",
+        "libfmq",
     ],
     export_static_lib_headers: [
         "neuralnetworks_utils_hal_common",
diff --git a/neuralnetworks/1.3/utils/include/nnapi/hal/1.3/Conversions.h b/neuralnetworks/1.3/utils/include/nnapi/hal/1.3/Conversions.h
index 8e1cdb8..b677c62 100644
--- a/neuralnetworks/1.3/utils/include/nnapi/hal/1.3/Conversions.h
+++ b/neuralnetworks/1.3/utils/include/nnapi/hal/1.3/Conversions.h
@@ -59,7 +59,6 @@
 GeneralResult<ErrorStatus> convert(const hal::V1_3::ErrorStatus& errorStatus);
 
 GeneralResult<SharedHandle> convert(const hardware::hidl_handle& handle);
-GeneralResult<SharedMemory> convert(const hardware::hidl_memory& memory);
 GeneralResult<std::vector<BufferRole>> convert(
         const hardware::hidl_vec<hal::V1_3::BufferRole>& bufferRoles);
 
diff --git a/neuralnetworks/1.3/utils/src/Conversions.cpp b/neuralnetworks/1.3/utils/src/Conversions.cpp
index 320c74c..9788fe1 100644
--- a/neuralnetworks/1.3/utils/src/Conversions.cpp
+++ b/neuralnetworks/1.3/utils/src/Conversions.cpp
@@ -352,10 +352,6 @@
     return validatedConvert(handle);
 }
 
-GeneralResult<SharedMemory> convert(const hardware::hidl_memory& memory) {
-    return validatedConvert(memory);
-}
-
 GeneralResult<std::vector<BufferRole>> convert(
         const hardware::hidl_vec<hal::V1_3::BufferRole>& bufferRoles) {
     return validatedConvert(bufferRoles);
diff --git a/neuralnetworks/1.3/utils/src/PreparedModel.cpp b/neuralnetworks/1.3/utils/src/PreparedModel.cpp
index 725e4f5..64275a3 100644
--- a/neuralnetworks/1.3/utils/src/PreparedModel.cpp
+++ b/neuralnetworks/1.3/utils/src/PreparedModel.cpp
@@ -29,8 +29,9 @@
 #include <nnapi/Result.h>
 #include <nnapi/TypeUtils.h>
 #include <nnapi/Types.h>
-#include <nnapi/hal/1.0/Burst.h>
 #include <nnapi/hal/1.2/Conversions.h>
+#include <nnapi/hal/1.2/ExecutionBurstController.h>
+#include <nnapi/hal/1.2/ExecutionBurstUtils.h>
 #include <nnapi/hal/CommonUtils.h>
 #include <nnapi/hal/HandleError.h>
 #include <nnapi/hal/ProtectCallback.h>
@@ -199,7 +200,15 @@
 }
 
 nn::GeneralResult<nn::SharedBurst> PreparedModel::configureExecutionBurst() const {
-    return V1_0::utils::Burst::create(shared_from_this());
+    auto self = shared_from_this();
+    auto fallback = [preparedModel = std::move(self)](const nn::Request& request,
+                                                      nn::MeasureTiming measure)
+            -> nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> {
+        return preparedModel->execute(request, measure, {}, {});
+    };
+    const auto pollingTimeWindow = V1_2::utils::getBurstControllerPollingTimeWindow();
+    return V1_2::utils::ExecutionBurstController::create(kPreparedModel, std::move(fallback),
+                                                         pollingTimeWindow);
 }
 
 std::any PreparedModel::getUnderlyingResource() const {