From 8b287c23f5141102555ba869a34397ec720a3e4f Mon Sep 17 00:00:00 2001
From: Matteo Martincigh <matteo.martincigh@arm.com>
Date: Fri, 7 Sep 2018 09:25:10 +0100
Subject: IVGCVSW-1806 More Android NN Driver refactoring

 * Changed #if defined to #ifdef
 * Simplified the Android ML namespace resolution
 * Fixed the relative path in some include directives

Change-Id: I46e46faff98559c8042c1a4b8b82007f462df57d
---
 test/Concurrent.cpp | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

(limited to 'test/Concurrent.cpp')

diff --git a/test/Concurrent.cpp b/test/Concurrent.cpp
index 92f6f8fb..55a1a395 100644
--- a/test/Concurrent.cpp
+++ b/test/Concurrent.cpp
@@ -24,7 +24,7 @@ BOOST_AUTO_TEST_CASE(ConcurrentExecute)
     ALOGI("ConcurrentExecute: entry");
 
     auto driver = std::make_unique<ArmnnDriver>(DriverOptions(armnn::Compute::CpuRef));
-    neuralnetworks::V1_0::Model model = {};
+    V1_0::Model model = {};
 
     // add operands
     int32_t actValue      = 0;
@@ -39,7 +39,7 @@ BOOST_AUTO_TEST_CASE(ConcurrentExecute)
 
     // make the fully connected operation
     model.operations.resize(1);
-    model.operations[0].type = neuralnetworks::V1_0::OperationType::FULLY_CONNECTED;
+    model.operations[0].type = V1_0::OperationType::FULLY_CONNECTED;
     model.operations[0].inputs  = hidl_vec<uint32_t>{0, 1, 2, 3};
     model.operations[0].outputs = hidl_vec<uint32_t>{4};
 
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