From 3dc4303c94cf3f5976e495233f663ff56089e53a Mon Sep 17 00:00:00 2001
From: Matteo Martincigh <matteo.martincigh@arm.com>
Date: Thu, 18 Oct 2018 10:55:19 +0100
Subject: IVGCVSW-2040 Add unit tests for the newly implemented NHWC support in
 ref BatchNormalization

 * Added create workload unit tests for the NHWC data layout

Change-Id: I03d66c88dc9b0340302b85012cb0152f0ec6fa72
---
 src/armnn/test/CreateWorkload.hpp | 12 ++++++++----
 1 file changed, 8 insertions(+), 4 deletions(-)

(limited to 'src/armnn/test')

diff --git a/src/armnn/test/CreateWorkload.hpp b/src/armnn/test/CreateWorkload.hpp
index 51820a425f..21385d7a99 100644
--- a/src/armnn/test/CreateWorkload.hpp
+++ b/src/armnn/test/CreateWorkload.hpp
@@ -133,11 +133,12 @@ std::unique_ptr<WorkloadType> CreateArithmeticWorkloadTest(armnn::IWorkloadFacto
 
 template <typename BatchNormalizationFloat32Workload, armnn::DataType DataType>
 std::unique_ptr<BatchNormalizationFloat32Workload> CreateBatchNormalizationWorkloadTest(
-    armnn::IWorkloadFactory& factory, armnn::Graph& graph)
+    armnn::IWorkloadFactory& factory, armnn::Graph& graph, DataLayout dataLayout = DataLayout::NCHW)
 {
     // Creates the layer we're testing.
     BatchNormalizationDescriptor layerDesc;
     layerDesc.m_Eps = 0.05f;
+    layerDesc.m_DataLayout = dataLayout;
 
     BatchNormalizationLayer* const layer = graph.AddLayer<BatchNormalizationLayer>(layerDesc, "layer");
 
@@ -155,16 +156,19 @@ std::unique_ptr<BatchNormalizationFloat32Workload> CreateBatchNormalizationWorkl
     Layer* const input = graph.AddLayer<InputLayer>(0, "input");
     Layer* const output = graph.AddLayer<OutputLayer>(0, "output");
 
+    TensorShape inputShape = (dataLayout == DataLayout::NCHW) ? TensorShape{ 2, 3, 1, 1 } : TensorShape{ 2, 1, 1, 3 };
+    TensorShape outputShape = (dataLayout == DataLayout::NCHW) ? TensorShape{ 2, 3, 1, 1 } : TensorShape{ 2, 1, 1, 3 };
+
     // Connects up.
-    armnn::TensorInfo tensorInfo({2, 3, 1, 1}, DataType);
-    Connect(input, layer, tensorInfo);
-    Connect(layer, output, tensorInfo);
+    Connect(input, layer, TensorInfo(inputShape, DataType));
+    Connect(layer, output, TensorInfo(outputShape, DataType));
     CreateTensorHandles(graph, factory);
 
     // Makes the workload and checks it.
     auto workload = MakeAndCheckWorkload<BatchNormalizationFloat32Workload>(*layer, graph, factory);
     BatchNormalizationQueueDescriptor queueDescriptor = workload->GetData();
     BOOST_TEST(queueDescriptor.m_Parameters.m_Eps == 0.05f);
+    BOOST_TEST((queueDescriptor.m_Parameters.m_DataLayout == dataLayout));
     BOOST_TEST(queueDescriptor.m_Inputs.size() == 1);
     BOOST_TEST(queueDescriptor.m_Outputs.size() == 1);
     BOOST_TEST((queueDescriptor.m_Mean->GetTensorInfo() == TensorInfo({3}, DataType)));
-- 
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