IVGCVSW-3177 Refactor Floor reference workload

 * Renamed RefFloorFloat32Workload to RefFloorWorkload
   and updated references to reflect this change.
 * RefFloorWorkload now uses Decoders/Encoders and
   supports the use of multiple data types.
 * Deleted FloorTestImpl.hpp and moved its contents
   into LayerTests.hpp.

Change-Id: Ie079d05f2f6a578172f0fe3024f9607c030bce64
Signed-off-by: James Conroy <james.conroy@arm.com>

1 files changed, 41 insertions, 0 deletions

diff --git a/src/backends/backendsCommon/test/LayerTests.hpp b/src/backends/backendsCommon/test/LayerTests.hpp
index 02beab39ab..d75a10aedd 100644
--- a/src/backends/backendsCommon/test/LayerTests.hpp
+++ b/src/backends/backendsCommon/test/LayerTests.hpp
@@ -1957,3 +1957,44 @@ LayerTestResult<T, 4> SimpleReshapeTest(
     return SimpleReshapeTestImpl<T>(
         workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected);
 }
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 4> SimpleFloorTest(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+    const armnn::TensorInfo inputTensorInfo({1, 3, 2, 3}, ArmnnType);
+    const armnn::TensorInfo outputTensorInfo(inputTensorInfo);
+
+    auto input = MakeTensor<T, 4>(inputTensorInfo, ConvertToDataType<ArmnnType>(
+        { -37.5f, -15.2f, -8.76f, -2.0f, -1.5f, -1.3f, -0.5f, -0.4f, 0.0f,
+        1.0f, 0.4f, 0.5f, 1.3f, 1.5f, 2.0f, 8.76f, 15.2f, 37.5f },
+        inputTensorInfo));
+
+    LayerTestResult<T, 4> ret(outputTensorInfo);
+    ret.outputExpected = MakeTensor<T, 4>(outputTensorInfo, ConvertToDataType<ArmnnType>(
+        { -38.0f, -16.0f, -9.0f, -2.0f, -2.0f, -2.0f, -1.0f, -1.0f, 0.0f,
+        1.0f, 0.0f, 0.0f, 1.0f, 1.0f, 2.0f, 8.0f, 15.0f, 37.0f },
+        outputTensorInfo));
+
+    std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo);
+    std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo);
+
+    armnn::FloorQueueDescriptor data;
+    armnn::WorkloadInfo info;
+    AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get());
+    AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());
+
+    std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateFloor(data, info);
+
+    inputHandle->Allocate();
+    outputHandle->Allocate();
+
+    CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]);
+
+    workload->Execute();
+
+    CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get());
+
+    return ret;
+}
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