IVGCVSW-6496 Add EndToEnd Layer test for Batch MatMul Workload

Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I6a541db9a602609282cc6f33af930ca141b83c41

3 files changed, 97 insertions, 1 deletions

diff --git a/src/backends/backendsCommon/test/BatchMatMulEndToEndTestImpl.hpp b/src/backends/backendsCommon/test/BatchMatMulEndToEndTestImpl.hpp
new file mode 100644
index 0000000000..905a56d53a
--- /dev/null
+++ b/src/backends/backendsCommon/test/BatchMatMulEndToEndTestImpl.hpp
@@ -0,0 +1,84 @@
+//
+// Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+#pragma once
+
+#include <ResolveType.hpp>
+
+#include <armnn/INetwork.hpp>
+
+#include <doctest/doctest.h>
+#include <CommonTestUtils.hpp>
+
+namespace
+{
+
+template<typename armnn::DataType DataType>
+armnn::INetworkPtr CreateBatchMatMulNetwork(const armnn::TensorShape& inputXShape,
+                                     const armnn::TensorShape& inputYShape,
+                                     const armnn::TensorShape& outputShape,
+                                     const float qScale = 1.0f,
+                                     const int32_t qOffset = 0)
+{
+    using namespace armnn;
+
+    INetworkPtr network(INetwork::Create());
+
+    TensorInfo inputXTensorInfo(inputXShape, DataType, qScale, qOffset, true);
+    TensorInfo inputYTensorInfo(inputYShape, DataType, qScale, qOffset, true);
+
+    TensorInfo outputTensorInfo(outputShape, DataType, qScale, qOffset);
+
+    BatchMatMulDescriptor batchMatMulDesc;
+    batchMatMulDesc.m_TransposeX = false;
+    batchMatMulDesc.m_TransposeY = true;
+
+    IConnectableLayer* batchMatMul = network->AddBatchMatMulLayer(batchMatMulDesc, "batchMatMul");
+    IConnectableLayer* inputX = network->AddInputLayer(0, "inputX");
+    IConnectableLayer* inputY = network->AddInputLayer(1, "inputY");
+    IConnectableLayer* output = network->AddOutputLayer(0, "output");
+
+    Connect(inputX, batchMatMul, inputXTensorInfo, 0, 0);
+    Connect(inputY, batchMatMul, inputYTensorInfo, 0, 1);
+    Connect(batchMatMul, output, outputTensorInfo, 0, 0);
+
+    return network;
+}
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+void BatchMatMulEndToEnd(const std::vector<armnn::BackendId>& backends)
+{
+    using namespace armnn;
+
+    const TensorShape& inputXShape = { 2, 2, 2 };
+    const TensorShape& inputYShape = { 2, 2, 2 };
+    const TensorShape& outputShape = { 2, 2, 2 };
+
+    INetworkPtr network = CreateBatchMatMulNetwork<ArmnnType>(inputXShape, inputYShape, outputShape);
+
+    CHECK(network);
+
+    std::vector<T> inputXData{ 1, 2,
+                               3, 4,
+
+                               9, 10,
+                               11, 12 };
+    std::vector<T> inputYData{ 5, 7,
+                               6, 8,
+
+                               13, 15,
+                               14, 16 };
+    std::vector<T> expectedOutput{ 19, 22,
+                                   43, 50,
+
+                                   267, 286,
+                                   323, 346 };
+
+    std::map<int, std::vector<T>> inputTensorData = {{ 0, inputXData }, {1, inputYData}};
+    std::map<int, std::vector<T>> expectedOutputData = { { 0, expectedOutput } };
+
+    EndToEndLayerTestImpl<ArmnnType, ArmnnType>(std::move(network), inputTensorData, expectedOutputData, backends);
+}
+
+} // anonymous namespace
\ No newline at end of file
diff --git a/src/backends/neon/test/NeonEndToEndTests.cpp b/src/backends/neon/test/NeonEndToEndTests.cpp
index d680e6deed..4c7608ff93 100644
--- a/src/backends/neon/test/NeonEndToEndTests.cpp
+++ b/src/backends/neon/test/NeonEndToEndTests.cpp
@@ -1,5 +1,5 @@
 //
-// Copyright © 2017 Arm Ltd. All rights reserved.
+// Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
 // SPDX-License-Identifier: MIT
 //
 
@@ -7,6 +7,7 @@
 
 #include <backendsCommon/test/ActivationEndToEndTestImpl.hpp>
 #include <backendsCommon/test/ArgMinMaxEndToEndTestImpl.hpp>
+#include <backendsCommon/test/BatchMatMulEndToEndTestImpl.hpp>
 #include <backendsCommon/test/ComparisonEndToEndTestImpl.hpp>
 #include <backendsCommon/test/ConcatEndToEndTestImpl.hpp>
 #include <backendsCommon/test/DepthToSpaceEndToEndTestImpl.hpp>
@@ -128,6 +129,11 @@ TEST_CASE("NeonGreaterBroadcastEndToEndUint8Test")
                                                                   expectedOutput);
 }
 
+TEST_CASE("NeonBatchMatMulEndToEndFloat32Test")
+{
+    BatchMatMulEndToEnd<armnn::DataType::Float32>(neonDefaultBackends);
+}
+
 TEST_CASE("NeonConcatEndToEndDim0Test")
 {
     ConcatDim0EndToEnd<armnn::DataType::Float32>(neonDefaultBackends);
diff --git a/src/backends/reference/test/RefEndToEndTests.cpp b/src/backends/reference/test/RefEndToEndTests.cpp
index 2ed5ad812c..7c196ba1f2 100644
--- a/src/backends/reference/test/RefEndToEndTests.cpp
+++ b/src/backends/reference/test/RefEndToEndTests.cpp
@@ -8,6 +8,7 @@
 #include <backendsCommon/test/ActivationEndToEndTestImpl.hpp>
 #include <backendsCommon/test/ArgMinMaxEndToEndTestImpl.hpp>
 #include <backendsCommon/test/BatchToSpaceNdEndToEndTestImpl.hpp>
+#include <backendsCommon/test/BatchMatMulEndToEndTestImpl.hpp>
 #include <backendsCommon/test/ChannelShuffleEndToEndTestImpl.hpp>
 #include <backendsCommon/test/ComparisonEndToEndTestImpl.hpp>
 #include <backendsCommon/test/ConcatEndToEndTestImpl.hpp>
@@ -466,6 +467,11 @@ TEST_CASE("RefGreaterBroadcastEndToEndUint8Test")
                                                                   expectedOutput);
 }
 
+TEST_CASE("RefBatchMatMulEndToEndFloat32Test")
+{
+    BatchMatMulEndToEnd<armnn::DataType::Float32>(defaultBackends);
+}
+
 TEST_CASE("RefBatchToSpaceNdEndToEndFloat32NHWCTest")
 {
     BatchToSpaceNdEndToEnd<armnn::DataType::Float32>(defaultBackends, armnn::DataLayout::NHWC);