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, 0 insertions, 56 deletions

diff --git a/src/backends/backendsCommon/test/FloorTestImpl.hpp b/src/backends/backendsCommon/test/FloorTestImpl.hpp
deleted file mode 100644
index 419b1b7bd8..0000000000
--- a/src/backends/backendsCommon/test/FloorTestImpl.hpp
+++ /dev/null
@@ -1,56 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-#pragma once
-
-#include "QuantizeHelper.hpp"
-#include "WorkloadTestUtils.hpp"
-
-#include <armnn/ArmNN.hpp>
-#include <armnn/Tensor.hpp>
-#include <armnn/TypesUtils.hpp>
-
-#include <backendsCommon/CpuTensorHandle.hpp>
-#include <backendsCommon/IBackendInternal.hpp>
-#include <backendsCommon/WorkloadFactory.hpp>
-
-#include <test/TensorHelpers.hpp>
-
-LayerTestResult<float, 4> SimpleFloorTest(
-    armnn::IWorkloadFactory& workloadFactory,
-    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
-{
-    const armnn::TensorInfo inputTensorInfo({1, 3, 2, 3}, armnn::DataType::Float32);
-    const armnn::TensorInfo outputTensorInfo(inputTensorInfo);
-
-    auto input = MakeTensor<float, 4>(inputTensorInfo,
-        { -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 });
-
-    LayerTestResult<float, 4> ret(outputTensorInfo);
-    ret.outputExpected = MakeTensor<float, 4>(outputTensorInfo,
-        { -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 });
-
-    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;
-}