1 files changed, 99 insertions, 0 deletions
diff --git a/src/backends/backendsCommon/test/SliceEndToEndTestImpl.hpp b/src/backends/backendsCommon/test/SliceEndToEndTestImpl.hpp
new file mode 100644
index 0000000000..811ce27b79
--- /dev/null
+++ b/src/backends/backendsCommon/test/SliceEndToEndTestImpl.hpp
@@ -0,0 +1,99 @@
+//
+// Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+#pragma once
+
+#include <armnn/INetwork.hpp>
+
+#include <CommonTestUtils.hpp>
+#include <ResolveType.hpp>
+
+#include <doctest/doctest.h>
+
+namespace
+{
+
+template<typename armnn::DataType DataType>
+armnn::INetworkPtr CreateSliceNetwork(const armnn::TensorShape& inputShape,
+                                      const armnn::TensorShape& outputShape,
+                                      const armnn::SliceDescriptor& descriptor,
+                                      const float qScale = 1.0f,
+                                      const int32_t qOffset = 0)
+{
+    using namespace armnn;
+
+    INetworkPtr network(INetwork::Create());
+
+    TensorInfo inputTensorInfo(inputShape, DataType, qScale, qOffset, true);
+    TensorInfo outputTensorInfo(outputShape, DataType, qScale, qOffset);
+
+
+    IConnectableLayer* slice  = network->AddSliceLayer(descriptor, "slice");
+    IConnectableLayer* input  = network->AddInputLayer(0, "input");
+    IConnectableLayer* output = network->AddOutputLayer(0, "output");
+
+    Connect(input, slice, inputTensorInfo, 0, 0);
+    Connect(slice, output, outputTensorInfo, 0, 0);
+
+    return network;
+}
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+void SliceEndToEnd(const std::vector<armnn::BackendId>& backends)
+{
+    using namespace armnn;
+
+    const TensorShape& inputShape  = { 3, 2, 3 };
+    const TensorShape& outputShape = { 2, 1, 3 };
+
+    SliceDescriptor descriptor;
+    descriptor.m_Begin = { 1, 0, 0 };
+    descriptor.m_Size  = { 2, 1, 3 };
+
+    INetworkPtr network = CreateSliceNetwork<ArmnnType>(inputShape, outputShape, descriptor);
+
+    CHECK(network);
+
+    std::vector<T> inputData{ 1, 1, 1, 2, 2, 2,
+                              3, 3, 3, 4, 4, 4,
+                              5, 5, 5, 6, 6, 6 };
+    std::vector<T> expectedOutput{ 3, 3, 3,
+                                   5, 5, 5 };
+
+    std::map<int, std::vector<T>> inputTensorData = { { 0, inputData } };
+    std::map<int, std::vector<T>> expectedOutputData = { { 0, expectedOutput } };
+
+    EndToEndLayerTestImpl<ArmnnType, ArmnnType>(std::move(network), inputTensorData, expectedOutputData, backends);
+}
+
+template<armnn::DataType ArmnnType>
+void SliceEndToEndFloat16(const std::vector<armnn::BackendId>& backends)
+{
+    using namespace armnn;
+    using namespace half_float::literal;
+    using Half = half_float::half;
+
+    const TensorShape& inputShape = { 3, 2, 3 };
+    const TensorShape& outputShape = { 2, 1, 3 };
+
+    SliceDescriptor descriptor;
+    descriptor.m_Begin = { 1, 0, 0 };
+    descriptor.m_Size  = { 2, 1, 3 };
+
+    INetworkPtr network = CreateSliceNetwork<ArmnnType>(inputShape, outputShape, descriptor);
+    CHECK(network);
+
+    std::vector<Half> inputData{ 1._h, 1._h, 1._h, 2._h, 2._h, 2._h,
+                                 3._h, 3._h, 3._h, 4._h, 4._h, 4._h,
+                                 5._h, 5._h, 5._h, 6._h, 6._h, 6._h };
+    std::vector<Half> expectedOutput{ 3._h, 3._h, 3._h,
+                                      5._h, 5._h, 5._h };
+
+    std::map<int, std::vector<Half>> inputTensorData = { { 0, inputData } };
+    std::map<int, std::vector<Half>> expectedOutputData = { { 0, expectedOutput } };
+
+    EndToEndLayerTestImpl<ArmnnType, ArmnnType>(std::move(network), inputTensorData, expectedOutputData, backends);
+}
+
+} // anonymous namespace
+\ No newline at end of file