Revert "IVGCVSW-6700 Enable import aligned host memory in android-nn-driver"

This reverts commit 8509422e1e7d629f88d6a5e4e4bded8a682f435b.

Reason for revert: Reverting as this might be the cause of several segfaults on CI

Change-Id: I902b4ddaec23dc46a2459f8512ec458e1aa722f3
diff --git a/ArmnnPreparedModel.cpp b/ArmnnPreparedModel.cpp
index ea48c0c..563abd4 100644
--- a/ArmnnPreparedModel.cpp
+++ b/ArmnnPreparedModel.cpp
@@ -8,8 +8,6 @@
 #include "ArmnnPreparedModel.hpp"
 #include "Utils.hpp"
 
-#include <armnn/Types.hpp>
-
 #include <log/log.h>
 #include <OperationsUtils.h>
 #include <ValidateHal.h>
@@ -307,12 +305,7 @@
         else
         {
             ALOGW("ArmnnPreparedModel::ExecuteGraph m_AsyncModelExecutionEnabled false");
-            std::vector<armnn::ImportedInputId> importedInputIds =
-                m_Runtime->ImportInputs(m_NetworkId, inputTensors, armnn::MemorySource::Malloc);
-            std::vector<armnn::ImportedOutputId> importedOutputIds =
-                m_Runtime->ImportOutputs(m_NetworkId, outputTensors, armnn::MemorySource::Malloc);
-            status = m_Runtime->EnqueueWorkload(m_NetworkId, inputTensors, outputTensors,
-                                                importedInputIds, importedOutputIds);
+            status = m_Runtime->EnqueueWorkload(m_NetworkId, inputTensors, outputTensors);
         }
 
         if (status != armnn::Status::Success)
@@ -393,12 +386,7 @@
         else
         {
             ALOGW("ArmnnPreparedModel::ExecuteGraph m_AsyncModelExecutionEnabled false");
-            std::vector<armnn::ImportedInputId> importedInputIds =
-                m_Runtime->ImportInputs(m_NetworkId, inputTensors, armnn::MemorySource::Malloc);
-            std::vector<armnn::ImportedOutputId> importedOutputIds =
-                m_Runtime->ImportOutputs(m_NetworkId, outputTensors, armnn::MemorySource::Malloc);
-            status = m_Runtime->EnqueueWorkload(m_NetworkId, inputTensors, outputTensors,
-                                                importedInputIds, importedOutputIds);
+            status = m_Runtime->EnqueueWorkload(m_NetworkId, inputTensors, outputTensors);
         }
         if (status != armnn::Status::Success)
         {