From 8ed4b8c34df929d29952f6b3f835bf61d57466e7 Mon Sep 17 00:00:00 2001
From: Nina Drozd <nina.drozd@arm.com>
Date: Wed, 29 May 2019 10:41:04 +0100
Subject: IVGCVSW-3172 Add QSymm16 support for reshape workload

* Added QSymm16 to supported types in WorkloadData
* Added QSymm16 to supported types in RefLayerSupport
* Created templated SimpleReshapeTest in LayerTests
* Updated ClLayerTests to use templated SimpleReshapeTest
* Updated NeonLayerTests to use templated SimpleReshapeTest
* Added test for QSymm16 to RefCreateWorkloadTests, RefLayerTests
* Removed ReshapeTestImpl as all reshape test methods were moved
* Added FloorTestImpl for existing SimpleFloorTest

Change-Id: I78efede8aab74c2d4cb0841dd426b8e06186133d
Signed-off-by: Nina Drozd <nina.drozd@arm.com>
---
 src/backends/backendsCommon/test/FloorTestImpl.hpp | 56 ++++++++++++++++++++++
 1 file changed, 56 insertions(+)
 create mode 100644 src/backends/backendsCommon/test/FloorTestImpl.hpp

(limited to 'src/backends/backendsCommon/test/FloorTestImpl.hpp')

diff --git a/src/backends/backendsCommon/test/FloorTestImpl.hpp b/src/backends/backendsCommon/test/FloorTestImpl.hpp
new file mode 100644
index 0000000000..419b1b7bd8
--- /dev/null
+++ b/src/backends/backendsCommon/test/FloorTestImpl.hpp
@@ -0,0 +1,56 @@
+//
+// 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;
+}
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