Migrate NNAPI runtime to canonical types

This change replaces most uses of HAL types in the codebase with
equivalent canonical types. Later changes will introduce more
refactorings.

Also removes unused files nn/runtime/test/Bridge.{h,cpp}.

Bug: 160669906
Fix: 155923931
Test: NeuralNetworksTest_static (all 7 passes)
Test: NeuralNetworksTest_operations
Test: NeuralNetworksTest_utils
Test: NeuralNetworksTest_logtag
Test: nnCache_test
Test: BlobCache_test
Change-Id: I63fa286e926a096948f1b1b172d1d562c4f52f29
Merged-In: I63fa286e926a096948f1b1b172d1d562c4f52f29
(cherry picked from commit 069993366ce59913ff162ed144749bb8794d990c)

1 files changed, 2 insertions, 4 deletions

diff --git a/nn/common/operations/Pow.cpp b/nn/common/operations/Pow.cpp
index 40c4adf02..03892a230 100644
--- a/nn/common/operations/Pow.cpp
+++ b/nn/common/operations/Pow.cpp
@@ -17,11 +17,11 @@
 #define LOG_TAG "Operations"
 
 #include "Pow.h"
-#include "HalInterfaces.h"
 #include "IndexedShapeWrapper.h"
 #include "OperationsUtils.h"
 
 #include <cmath>
+#include <vector>
 
 namespace android {
 namespace nn {
@@ -29,8 +29,6 @@ namespace pow {
 
 namespace {
 
-using namespace hal;
-
 template <typename T>
 bool evalGeneric(const T* baseData, const Shape& baseShape, const T* exponentData,
                  const Shape& exponentShape, T* outputData, const Shape& outputShape) {
@@ -81,7 +79,7 @@ bool eval(const void* baseData, const Shape& baseShape, const void* exponentData
                                reinterpret_cast<float*>(outputData), outputShape);
         } break;
         default: {
-            LOG(ERROR) << "Unsupported data type: " << toString(baseShape.type);
+            LOG(ERROR) << "Unsupported data type: " << baseShape.type;
             return false;
         }
     }