From 50de4fa4e7e0dd02a442ba350a1b40f293cb5a01 Mon Sep 17 00:00:00 2001
From: Teresa Charlin <teresa.charlinreyes@arm.com>
Date: Mon, 31 May 2021 18:47:33 +0100
Subject: IVGCVSW-6088 Add Sin and Log to ElementWiseUnary

* Ref workload
* Cl workload
* Neon workload
* Serializer
* Deserializer

* Remove boost include from TensorTest.cpp

Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I498548169cc77609c55cf3105f1de5a7429772cf
---
 .../backendsCommon/test/layerTests/SinTestImpl.cpp | 205 +++++++++++++++++++++
 1 file changed, 205 insertions(+)
 create mode 100644 src/backends/backendsCommon/test/layerTests/SinTestImpl.cpp

(limited to 'src/backends/backendsCommon/test/layerTests/SinTestImpl.cpp')

diff --git a/src/backends/backendsCommon/test/layerTests/SinTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/SinTestImpl.cpp
new file mode 100644
index 0000000000..be3f6267ae
--- /dev/null
+++ b/src/backends/backendsCommon/test/layerTests/SinTestImpl.cpp
@@ -0,0 +1,205 @@
+//
+// Copyright © 2021 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "SinTestImpl.hpp"
+#include "ElementwiseUnaryTestImpl.hpp"
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 2> Sin2dTest(
+        armnn::IWorkloadFactory& workloadFactory,
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+    const unsigned int inputShape[] = { 2, 2 };
+
+    std::vector<float> inputValues
+    {
+        3.0f, 2.0f,
+        1.0f, 1.1f
+    };
+
+    std::vector<float> expectedOutputValues
+    {
+        0.14112000806f, 0.90929742682f,
+        0.8414709848f, 0.89120736006f
+    };
+
+    return ElementwiseUnaryTestHelper<2, ArmnnType>(
+        workloadFactory,
+        memoryManager,
+        armnn::UnaryOperation::Sin,
+        inputShape,
+        inputValues,
+        inputShape,
+        expectedOutputValues,
+        tensorHandleFactory);
+}
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 3> Sin3dTest(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+    const unsigned int inputShape[] = { 3, 1, 2 };
+
+    std::vector<float> inputValues
+    {
+        5.0f, 4.0f,
+        3.0f, 2.0f,
+        1.0f, 1.1f
+    };
+
+    std::vector<float> expectedOutputValues
+    {
+        -0.95892427466f, -0.7568024953f,
+        0.14112000806f, 0.90929742682f,
+        0.8414709848f, 0.89120736006f
+    };
+
+    return ElementwiseUnaryTestHelper<3, ArmnnType>(
+        workloadFactory,
+        memoryManager,
+        armnn::UnaryOperation::Sin,
+        inputShape,
+        inputValues,
+        inputShape,
+        expectedOutputValues,
+        tensorHandleFactory);
+}
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 2> SinZeroTest(
+        armnn::IWorkloadFactory& workloadFactory,
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+    const unsigned int inputShape[] = { 1, 2 };
+
+    std::vector<float> inputValues
+    {
+        0.f, 0.f
+    };
+
+    std::vector<float> expectedOutputValues
+    {
+        0.f, 0.f
+    };
+
+    return ElementwiseUnaryTestHelper<2, ArmnnType>(
+        workloadFactory,
+        memoryManager,
+        armnn::UnaryOperation::Sin,
+        inputShape,
+        inputValues,
+        inputShape,
+        expectedOutputValues,
+        tensorHandleFactory);
+}
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 2> SinNegativeTest(
+        armnn::IWorkloadFactory& workloadFactory,
+        const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+        const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+    const unsigned int inputShape[] = { 1, 2 };
+
+    std::vector<float> inputValues
+    {
+        -5.9f, -5.8f
+    };
+
+    std::vector<float> expectedOutputValues
+    {
+        0.37387666483f, 0.46460217941f,
+    };
+
+    return ElementwiseUnaryTestHelper<2, ArmnnType>(
+        workloadFactory,
+        memoryManager,
+        armnn::UnaryOperation::Sin,
+        inputShape,
+        inputValues,
+        inputShape,
+        expectedOutputValues,
+        tensorHandleFactory);
+}
+
+//
+// Sinlicit template specializations
+//
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2>
+Sin2dTest<armnn::DataType::Float32>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 2>
+Sin2dTest<armnn::DataType::Float16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 2>
+Sin2dTest<armnn::DataType::QAsymmS8>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 2>
+Sin2dTest<armnn::DataType::QAsymmU8>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 2>
+Sin2dTest<armnn::DataType::QSymmS16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 3>
+Sin3dTest<armnn::DataType::Float32>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 3>
+Sin3dTest<armnn::DataType::Float16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 3>
+Sin3dTest<armnn::DataType::QAsymmS8>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 3>
+Sin3dTest<armnn::DataType::QAsymmU8>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 3>
+Sin3dTest<armnn::DataType::QSymmS16>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2>
+SinZeroTest<armnn::DataType::Float32>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2>
+SinNegativeTest<armnn::DataType::Float32>(
+    armnn::IWorkloadFactory& workloadFactory,
+    const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+    const armnn::ITensorHandleFactory& tensorHandleFactory);
\ No newline at end of file
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