IVGCVSW-2511 Add end to end Gather layer test

 * Add end to end test for Gather operator
 * Add Support for int32 to Constant layer for Ref
 * Add Int32Workload
 * Add RefConstantWorkload as template for float, uint8, int32
 * Remove unused RefBaseConstantWorkload
 * Remove unused RefConstantFloat32Workload
 * Remove unused RefConstantUint8Workload
 * Add support check for int32 in LayerSupport functions

Change-Id: Ic970588a49ebe2aafb12be8adef52371feacaa7b

2 files changed, 126 insertions, 0 deletions

diff --git a/src/backends/backendsCommon/test/CMakeLists.txt b/src/backends/backendsCommon/test/CMakeLists.txt
index 8107176210..80a9cfeaa9 100644
--- a/src/backends/backendsCommon/test/CMakeLists.txt
+++ b/src/backends/backendsCommon/test/CMakeLists.txt
@@ -16,6 +16,8 @@ list(APPEND armnnBackendsCommonUnitTests_sources
     DebugTestImpl.hpp
     EndToEndTestImpl.hpp
     FullyConnectedTestImpl.hpp
+    GatherTestImpl.hpp
+    GatherEndToEndTestImpl.hpp
     IsLayerSupportedTestImpl.hpp
     JsonPrinterTestImpl.cpp
     JsonPrinterTestImpl.hpp
diff --git a/src/backends/backendsCommon/test/GatherEndToEndTestImpl.hpp b/src/backends/backendsCommon/test/GatherEndToEndTestImpl.hpp
new file mode 100644
index 0000000000..d30da549df
--- /dev/null
+++ b/src/backends/backendsCommon/test/GatherEndToEndTestImpl.hpp
@@ -0,0 +1,124 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#pragma once
+
+#include <armnn/INetwork.hpp>
+#include <backendsCommon/test/CommonTestUtils.hpp>
+#include <TypeUtils.hpp>
+
+namespace{
+
+armnn::INetworkPtr CreateGatherNetwork(const armnn::TensorInfo& paramsInfo,
+                                       const armnn::TensorInfo& indicesInfo,
+                                       const armnn::TensorInfo& outputInfo,
+                                       const std::vector<int32_t>& indicesData)
+{
+    armnn::INetworkPtr net(armnn::INetwork::Create());
+
+    armnn::IConnectableLayer* paramsLayer = net->AddInputLayer(0);
+    armnn::IConnectableLayer* indicesLayer = net->AddConstantLayer(armnn::ConstTensor(indicesInfo, indicesData));
+    armnn::IConnectableLayer* gatherLayer = net->AddGatherLayer("gather");
+    armnn::IConnectableLayer* outputLayer = net->AddOutputLayer(0, "output");
+    Connect(paramsLayer, gatherLayer, paramsInfo, 0, 0);
+    Connect(indicesLayer, gatherLayer, indicesInfo, 0, 1);
+    Connect(gatherLayer, outputLayer, outputInfo, 0, 0);
+
+    return net;
+}
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+void GatherEndToEnd(const std::vector<BackendId>& backends)
+{
+    armnn::TensorInfo paramsInfo({ 8 }, ArmnnType);
+    armnn::TensorInfo indicesInfo({ 3 }, armnn::DataType::Signed32);
+    armnn::TensorInfo outputInfo({ 3 }, ArmnnType);
+
+    paramsInfo.SetQuantizationScale(1.0f);
+    paramsInfo.SetQuantizationOffset(0);
+    outputInfo.SetQuantizationScale(1.0f);
+    outputInfo.SetQuantizationOffset(0);
+
+    // Creates structures for input & output.
+    std::vector<T> paramsData{
+        1, 2, 3, 4, 5, 6, 7, 8
+    };
+
+    std::vector<int32_t> indicesData{
+        7, 6, 5
+    };
+
+    std::vector<T> expectedOutput{
+        8, 7, 6
+    };
+
+    // Builds up the structure of the network
+    armnn::INetworkPtr net = CreateGatherNetwork(paramsInfo, indicesInfo, outputInfo, indicesData);
+
+    BOOST_TEST_CHECKPOINT("create a network");
+
+    std::map<int, std::vector<T>> inputTensorData = {{ 0, paramsData }};
+    std::map<int, std::vector<T>> expectedOutputData = {{ 0, expectedOutput }};
+
+    EndToEndLayerTestImpl<T>(move(net), inputTensorData, expectedOutputData, backends);
+}
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+void GatherMultiDimEndToEnd(const std::vector<BackendId>& backends)
+{
+    armnn::TensorInfo paramsInfo({ 3, 2, 3}, ArmnnType);
+    armnn::TensorInfo indicesInfo({ 2, 3 }, armnn::DataType::Signed32);
+    armnn::TensorInfo outputInfo({ 2, 3, 2, 3 }, ArmnnType);
+
+    paramsInfo.SetQuantizationScale(1.0f);
+    paramsInfo.SetQuantizationOffset(0);
+    outputInfo.SetQuantizationScale(1.0f);
+    outputInfo.SetQuantizationOffset(0);
+
+    // Creates structures for input & output.
+    std::vector<T> paramsData{
+         1,  2,  3,
+         4,  5,  6,
+
+         7,  8,  9,
+        10, 11, 12,
+
+        13, 14, 15,
+        16, 17, 18
+    };
+
+    std::vector<int32_t> indicesData{
+        1, 2, 1,
+        2, 1, 0
+    };
+
+    std::vector<T> expectedOutput{
+         7,  8,  9,
+        10, 11, 12,
+        13, 14, 15,
+        16, 17, 18,
+         7,  8,  9,
+        10, 11, 12,
+
+        13, 14, 15,
+        16, 17, 18,
+         7,  8,  9,
+        10, 11, 12,
+         1,  2,  3,
+         4,  5,  6
+    };
+
+    // Builds up the structure of the network
+    armnn::INetworkPtr net = CreateGatherNetwork(paramsInfo, indicesInfo, outputInfo, indicesData);
+
+    BOOST_TEST_CHECKPOINT("create a network");
+
+    std::map<int, std::vector<T>> inputTensorData = {{ 0, paramsData }};
+    std::map<int, std::vector<T>> expectedOutputData = {{ 0, expectedOutput }};
+
+    EndToEndLayerTestImpl<T>(move(net), inputTensorData, expectedOutputData, backends);
+}
+
+} // anonymous namespace
\ No newline at end of file