IVGCVSW-7400 POW IVGCVSW-7278 SQUARED_DIFFERENCE.
* Added 2 new operators as ElementWiseBinary ops
* Ref End to End and unit tests
* Serialize and Deserialize tests
* Delegate and Opaque Delegate tests
* TfLite Parser tests
Signed-off-by: John Mcloughlin <john.mcloughlin@arm.com>
Change-Id: I537158127f602f0c41ca0402aa31655cd3bd4281
diff --git a/src/backends/backendsCommon/test/layerTests/ElementwiseTestImpl.hpp b/src/backends/backendsCommon/test/layerTests/ElementwiseTestImpl.hpp
index da6e11f..ded53cb 100644
--- a/src/backends/backendsCommon/test/layerTests/ElementwiseTestImpl.hpp
+++ b/src/backends/backendsCommon/test/layerTests/ElementwiseTestImpl.hpp
@@ -1,5 +1,5 @@
//
-// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
+// Copyright © 2017-2023 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
@@ -206,4 +206,67 @@
tensorHandleFactory,
quantScale,
quantOffset);
-}
\ No newline at end of file
+}
+
+// Elementwise Binary Operations
+template<std::size_t NumDims,
+ armnn::DataType ArmnnTypeInput,
+ armnn::DataType ArmnnTypeOutput,
+ typename TInput = armnn::ResolveType<ArmnnTypeInput>,
+ typename TOutput = armnn::ResolveType<ArmnnTypeOutput>>
+LayerTestResult<TOutput, NumDims> ElementwiseTestHelper(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ armnn::BinaryOperation op,
+ const unsigned int shape0[NumDims],
+ std::vector<TInput> values0,
+ const unsigned int shape1[NumDims],
+ std::vector<TInput> values1,
+ const unsigned int outShape[NumDims],
+ std::vector<TOutput> outValues,
+ const armnn::ITensorHandleFactory& tensorHandleFactory) {
+
+ armnn::TensorInfo inputTensorInfo0{NumDims, shape0, ArmnnTypeInput};
+ armnn::TensorInfo inputTensorInfo1{NumDims, shape1, ArmnnTypeInput};
+ armnn::TensorInfo outputTensorInfo{NumDims, outShape, ArmnnTypeOutput};
+
+ std::vector<TOutput> actualOutput(outputTensorInfo.GetNumElements());
+
+ bool isBoolean = false;
+ if (ArmnnTypeOutput == armnn::DataType::Boolean)
+ {
+ isBoolean = true;
+ }
+
+ std::unique_ptr<armnn::ITensorHandle> inputHandle0 = tensorHandleFactory.CreateTensorHandle(inputTensorInfo0);
+ std::unique_ptr<armnn::ITensorHandle> inputHandle1 = tensorHandleFactory.CreateTensorHandle(inputTensorInfo1);
+ std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo);
+
+ armnn::ElementwiseBinaryQueueDescriptor data;
+ data.m_Parameters.m_Operation = op;
+ armnn::WorkloadInfo info;
+
+ AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get());
+ AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get());
+ AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());
+
+ auto workload = workloadFactory.CreateWorkload(armnn::LayerType::ElementwiseBinary, data, info);
+
+ inputHandle0->Allocate();
+ inputHandle1->Allocate();
+ outputHandle->Allocate();
+
+ CopyDataToITensorHandle(inputHandle0.get(), values0.data());
+ CopyDataToITensorHandle(inputHandle1.get(), values1.data());
+
+ workload->PostAllocationConfigure();
+ ExecuteWorkload(*workload, memoryManager);
+
+ CopyDataFromITensorHandle(actualOutput.data(), outputHandle.get());
+
+ return LayerTestResult<TOutput, NumDims>(actualOutput,
+ outValues,
+ outputHandle->GetShape(),
+ outputTensorInfo.GetShape(),
+ isBoolean);
+}
diff --git a/src/backends/backendsCommon/test/layerTests/PowerTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/PowerTestImpl.cpp
new file mode 100644
index 0000000..dd6d569
--- /dev/null
+++ b/src/backends/backendsCommon/test/layerTests/PowerTestImpl.cpp
@@ -0,0 +1,539 @@
+//
+// Copyright © 2023 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "PowerTestImpl.hpp"
+
+#include "ElementwiseTestImpl.hpp"
+
+LayerTestResult<float, 4> PowerTest(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ IgnoreUnused(memoryManager);
+ unsigned int shape[] = { 2, 2, 2, 2 };
+
+ std::vector<float> input0 =
+ {
+ 7.f, 3.f, 4.f, 2.f, 6.f, 4.f, 2.f, 1.f,
+ 1.f, 1.f, 0.f, 2.f, 9.f, 3.f, 5.f, 3.f
+ };
+
+ std::vector<float> input1 =
+ {
+ 2.f, 3.f, 2.f, 1.f, 2.f, 3.f, 4.f, 3.f,
+ 4.f, 5.f, 3.f, 5.f, 2.f, 3.f, 2.f, 0.f
+ };
+
+ std::vector<float> output
+ {
+ 49.f, 27.f, 16.f, 2.f, 36.f, 64.f, 16.f, 1.f,
+ 1.f, 1.f, 0.f, 32.f, 81.f, 27.f, 25.f, 1.f
+ };
+
+ return ElementwiseTestHelper<4, armnn::DataType::Float32, armnn::DataType::Float32>(
+ workloadFactory,
+ memoryManager,
+ armnn::BinaryOperation::Power,
+ shape,
+ input0,
+ shape,
+ input1,
+ shape,
+ output,
+ tensorHandleFactory);
+}
+
+LayerTestResult<float, 4> PowerBroadcast1ElementTest(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ IgnoreUnused(memoryManager);
+ unsigned int shape0[] = { 1, 2, 2, 2 };
+ unsigned int shape1[] = { 1, 1, 1, 1 };
+
+ std::vector<float> input0 =
+ {
+ 1.f, 2.f, 3.f, 4.f, 5.f, 0.f, 2.f, 1.f
+ };
+
+ std::vector<float> input1 = { 2.f };
+
+ std::vector<float> output =
+ {
+ 1.f, 4.f, 9.f, 16.f, 25.f, 0.f, 4.f, 1.f
+ };
+
+ return ElementwiseTestHelper<4, armnn::DataType::Float32, armnn::DataType::Float32>(
+ workloadFactory,
+ memoryManager,
+ armnn::BinaryOperation::Power,
+ shape0,
+ input0,
+ shape1,
+ input1,
+ shape0,
+ output,
+ tensorHandleFactory);
+}
+
+LayerTestResult<float, 4> PowerBroadcastTest(
+ armnn::IWorkloadFactory & workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr & memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ IgnoreUnused(memoryManager);
+ const unsigned int shape0[] = { 1, 2, 2, 3 };
+ const unsigned int shape1[] = { 1, 1, 1, 3 };
+
+ std::vector<float> input0 =
+ {
+ 1.f, 2.f, 3.f, 3.f, 4.f, 4.f,
+ 4.f, 0.f, 2.f, 3.f, 4.f, 4.f
+ };
+
+ std::vector<float> input1 = { 1.f, 3.f, 1.f };
+
+ std::vector<float> output =
+ {
+ 1.f, 8.f, 3.f, 3.f, 64.f, 4.f,
+ 4.f, 0.f, 2.f, 3.f, 64.f, 4.f
+ };
+
+ return ElementwiseTestHelper<4, armnn::DataType::Float32, armnn::DataType::Float32>(
+ workloadFactory,
+ memoryManager,
+ armnn::BinaryOperation::Power,
+ shape0,
+ input0,
+ shape1,
+ input1,
+ shape0,
+ output,
+ tensorHandleFactory);
+}
+
+LayerTestResult<armnn::Half, 4> PowerFloat16Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ IgnoreUnused(memoryManager);
+ using namespace half_float::literal;
+
+ unsigned int shape[] = { 2, 2, 2, 2 };
+
+ std::vector<armnn::Half> input0 =
+ {
+ 1._h, 5._h, 1._h, 4._h, 6._h, 1._h, 3._h, 5._h,
+ 3._h, 7._h, 6._h, 3._h, 8._h, 4._h, 4._h, 2._h
+ };
+
+ std::vector<armnn::Half> input1 =
+ {
+ 2._h, 2._h, 2._h, 2._h, 2._h, 3._h, 3._h, 2._h,
+ 1._h, 2._h, 2._h, 4._h, 2._h, 1._h, 3._h, 5._h
+ };
+
+ std::vector<armnn::Half> output
+ {
+ 1._h, 25._h, 1._h, 16._h, 36._h, 1._h, 27._h, 25._h,
+ 3._h, 49._h, 36._h, 81._h, 64._h, 4._h, 64._h, 32._h
+ };
+
+ return ElementwiseTestHelper<4, armnn::DataType::Float16, armnn::DataType::Float16>(
+ workloadFactory,
+ memoryManager,
+ armnn::BinaryOperation::Power,
+ shape,
+ input0,
+ shape,
+ input1,
+ shape,
+ output,
+ tensorHandleFactory);
+}
+
+LayerTestResult<armnn::Half, 4> PowerBroadcast1ElementFloat16Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ IgnoreUnused(memoryManager);
+ using namespace half_float::literal;
+
+ const unsigned int shape0[] = { 1, 2, 2, 3 };
+ const unsigned int shape1[] = { 1, 1, 1, 1 };
+
+ std::vector<armnn::Half> input0 =
+ {
+ 1._h, 2._h, 3._h, 4._h, 5._h, 4._h,
+ 1._h, 5._h, 4._h, 2._h, 0._h, 1._h
+ };
+
+ std::vector<armnn::Half> input1 = { 2._h };
+
+ std::vector<armnn::Half> output =
+ {
+ 1._h, 4._h, 9._h, 16._h, 25._h, 16._h,
+ 1._h, 25._h, 16._h, 4._h, 0._h, 1._h
+ };
+
+ return ElementwiseTestHelper<4, armnn::DataType::Float16, armnn::DataType::Float16>(
+ workloadFactory,
+ memoryManager,
+ armnn::BinaryOperation::Power,
+ shape0,
+ input0,
+ shape1,
+ input1,
+ shape0,
+ output,
+ tensorHandleFactory);
+}
+
+LayerTestResult<armnn::Half, 4> PowerBroadcastFloat16Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ IgnoreUnused(memoryManager);
+ using namespace half_float::literal;
+
+ const unsigned int shape0[] = { 1, 2, 2, 3 };
+ const unsigned int shape1[] = { 1, 1, 1, 3 };
+
+ std::vector<armnn::Half> input0 =
+ {
+ 4._h, 2._h, 3._h, 4._h, 1._h, 0._h,
+ 8._h, 1._h, 1._h, 1._h, 2._h, 4._h
+ };
+
+ std::vector<armnn::Half> input1 = { 1._h, 5._h, 3._h };
+
+ std::vector<armnn::Half> output =
+ {
+ 4._h, 32._h, 27._h, 4._h, 1._h, 0._h,
+ 8._h, 1._h, 1._h, 1._h, 32._h, 64._h
+ };
+
+ return ElementwiseTestHelper<4, armnn::DataType::Float16, armnn::DataType::Float16>(
+ workloadFactory,
+ memoryManager,
+ armnn::BinaryOperation::Power,
+ shape0,
+ input0,
+ shape1,
+ input1,
+ shape0,
+ output,
+ tensorHandleFactory);
+}
+
+LayerTestResult<uint8_t, 4> PowerUint8Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ IgnoreUnused(memoryManager);
+ const unsigned int shape[] = { 1, 1, 2, 2 };
+
+ std::vector<uint8_t> input0 = { 4, 2, 4, 3 };
+
+ std::vector<uint8_t> input1 = { 1, 2, 2, 2 };
+
+ std::vector<uint8_t> output = { 4, 4, 16, 9 };
+
+ return ElementwiseTestHelper<4, armnn::DataType::QAsymmU8, armnn::DataType::QAsymmU8>(
+ workloadFactory,
+ memoryManager,
+ armnn::BinaryOperation::Power,
+ shape,
+ input0,
+ shape,
+ input1,
+ shape,
+ output,
+ tensorHandleFactory);
+}
+
+LayerTestResult<uint8_t, 4> PowerBroadcast1ElementUint8Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ IgnoreUnused(memoryManager);
+ const unsigned int shape0[] = { 1, 1, 2, 2 };
+ const unsigned int shape1[] = { 1, 1, 1, 1 };
+
+ std::vector<uint8_t> input0 = { 4, 5, 1, 0 };
+
+ std::vector<uint8_t> input1 = { 2 };
+
+ std::vector<uint8_t> output = { 16, 25, 1, 0 };
+
+ return ElementwiseTestHelper<4, armnn::DataType::QAsymmU8, armnn::DataType::QAsymmU8>(
+ workloadFactory,
+ memoryManager,
+ armnn::BinaryOperation::Power,
+ shape0,
+ input0,
+ shape1,
+ input1,
+ shape0,
+ output,
+ tensorHandleFactory);
+}
+
+LayerTestResult<uint8_t, 4> PowerBroadcastUint8Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ IgnoreUnused(memoryManager);
+ const unsigned int shape0[] = { 1, 1, 2, 2 };
+ const unsigned int shape1[] = { 1, 1, 1, 2 };
+
+ std::vector<uint8_t> input0 = { 4, 1, 6, 2 };
+
+ std::vector<uint8_t> input1 = { 2, 6 };
+
+ std::vector<uint8_t> output = { 16, 1, 36, 64 };
+
+ return ElementwiseTestHelper<4, armnn::DataType::QAsymmU8, armnn::DataType::QAsymmU8>(
+ workloadFactory,
+ memoryManager,
+ armnn::BinaryOperation::Power,
+ shape0,
+ input0,
+ shape1,
+ input1,
+ shape0,
+ output,
+ tensorHandleFactory);
+}
+
+LayerTestResult<int16_t, 4> PowerInt16Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ IgnoreUnused(memoryManager);
+ unsigned int shape[] = { 2, 2, 2, 2 };
+
+ std::vector<int16_t> input0 =
+ {
+ 1, 5, 1, 4, 4, 9, 3, 7,
+ 3, 2, 9, 6, 1, 2, 1, 4
+ };
+
+ std::vector<int16_t> input1 =
+ {
+ 2, 2, 0, 3, 2, 1, 3, 2,
+ 4, 4, 2, 1, 7, 5, 4, 2
+ };
+
+ std::vector<int16_t> output
+ {
+ 1, 25, 0, 64, 16, 9, 27, 49,
+ 81, 16, 81, 6, 1, 32, 1, 16
+ };
+
+ return ElementwiseTestHelper<4, armnn::DataType::QSymmS16, armnn::DataType::QSymmS16>(
+ workloadFactory,
+ memoryManager,
+ armnn::BinaryOperation::Power,
+ shape,
+ input0,
+ shape,
+ input1,
+ shape,
+ output,
+ tensorHandleFactory);
+}
+
+LayerTestResult<int16_t, 4> PowerBroadcast1ElementInt16Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ IgnoreUnused(memoryManager);
+ const unsigned int shape0[] = { 1, 2, 2, 3 };
+ const unsigned int shape1[] = { 1, 1, 1, 1 };
+
+ std::vector<int16_t> input0 =
+ {
+ 1, 2, 3, 4, 5, 0,
+ 5, 4, 1, 4, 5, 2
+ };
+
+ std::vector<int16_t> input1 = { 2 };
+
+ std::vector<int16_t> output =
+ {
+ 1, 4, 9, 16, 25, 0,
+ 25, 16, 1, 16, 25, 4
+ };
+
+ return ElementwiseTestHelper<4, armnn::DataType::QSymmS16, armnn::DataType::QSymmS16>(
+ workloadFactory,
+ memoryManager,
+ armnn::BinaryOperation::Power,
+ shape0,
+ input0,
+ shape1,
+ input1,
+ shape0,
+ output,
+ tensorHandleFactory);
+}
+
+LayerTestResult<int16_t, 4> PowerBroadcastInt16Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ IgnoreUnused(memoryManager);
+ const unsigned int shape0[] = { 1, 2, 2, 3 };
+ const unsigned int shape1[] = { 1, 1, 1, 3 };
+
+ std::vector<int16_t> input0 =
+ {
+ 4, 2, 1, 4, 5, 3,
+ 7, 3, 4, 8, 1, 2
+ };
+
+ std::vector<int16_t> input1 = { 1, 2, 3 };
+
+ std::vector<int16_t> output =
+ {
+ 4, 4, 1, 4, 25, 27,
+ 7, 9, 64, 8, 1, 8
+ };
+
+ return ElementwiseTestHelper<4, armnn::DataType::QSymmS16, armnn::DataType::QSymmS16>(
+ workloadFactory,
+ memoryManager,
+ armnn::BinaryOperation::Power,
+ shape0,
+ input0,
+ shape1,
+ input1,
+ shape0,
+ output,
+ tensorHandleFactory);
+}
+
+LayerTestResult<int32_t, 4> PowerInt32Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ IgnoreUnused(memoryManager);
+ unsigned int shape[] = { 2, 2, 2, 2 };
+
+ std::vector<int32_t> input0 =
+ {
+ 1, 3, 4, 3, 1, 4, 2, 1,
+ 2, 1, 2, 1, 4, 3, 4, 3
+ };
+
+ std::vector<int32_t> input1 =
+ {
+ 2, 2, 2, 2, 3, 3, 4, 3,
+ 4, 4, 4, 4, 1, 3, 1, 3
+ };
+
+ std::vector<int32_t> output
+ {
+ 1, 9, 16, 9, 1, 64, 16, 1,
+ 16, 1, 16, 1, 4, 27, 4, 27
+ };
+
+ return ElementwiseTestHelper<4, armnn::DataType::Signed32, armnn::DataType::Signed32>(
+ workloadFactory,
+ memoryManager,
+ armnn::BinaryOperation::Power,
+ shape,
+ input0,
+ shape,
+ input1,
+ shape,
+ output,
+ tensorHandleFactory);
+}
+
+LayerTestResult<int32_t, 4> PowerBroadcastInt32Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ IgnoreUnused(memoryManager);
+ const unsigned int shape0[] = { 1, 2, 2, 3 };
+ const unsigned int shape1[] = { 1, 1, 1, 3 };
+
+ std::vector<int32_t> input0 =
+ {
+ 4, 4, 3, 4, 5, 0,
+ 5, 8, 1, 3, 9, 2
+ };
+
+ std::vector<int32_t> input1 = { 2, 1, 3 };
+
+ std::vector<int32_t> output =
+ {
+ 16, 4, 27, 16, 5, 0,
+ 25, 8, 1, 9, 9, 8
+ };
+
+ return ElementwiseTestHelper<4, armnn::DataType::Signed32, armnn::DataType::Signed32>(
+ workloadFactory,
+ memoryManager,
+ armnn::BinaryOperation::Power,
+ shape0,
+ input0,
+ shape1,
+ input1,
+ shape0,
+ output,
+ tensorHandleFactory);
+}
+
+LayerTestResult<int32_t, 4> PowerBroadcast1ElementInt32Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ IgnoreUnused(memoryManager);
+ const unsigned int shape0[] = { 1, 2, 2, 3 };
+ const unsigned int shape1[] = { 1, 1, 1, 1 };
+
+ std::vector<int32_t> input0 =
+ {
+ 1, 2, 3, 4, 5, 3,
+ 3, 1, 0, 2, 1, 5
+ };
+
+ std::vector<int32_t> input1 = { 2 };
+
+ std::vector<int32_t> output =
+ {
+ 1, 4, 9, 16, 25, 9,
+ 9, 1, 0, 4, 1, 25
+ };
+
+ return ElementwiseTestHelper<4, armnn::DataType::Signed32, armnn::DataType::Signed32>(
+ workloadFactory,
+ memoryManager,
+ armnn::BinaryOperation::Power,
+ shape0,
+ input0,
+ shape1,
+ input1,
+ shape0,
+ output,
+ tensorHandleFactory);
+}
diff --git a/src/backends/backendsCommon/test/layerTests/PowerTestImpl.hpp b/src/backends/backendsCommon/test/layerTests/PowerTestImpl.hpp
new file mode 100644
index 0000000..3707208
--- /dev/null
+++ b/src/backends/backendsCommon/test/layerTests/PowerTestImpl.hpp
@@ -0,0 +1,88 @@
+//
+// Copyright © 2023 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#pragma once
+
+#include <armnnTestUtils/LayerTestResult.hpp>
+
+#include <Half.hpp>
+
+#include <armnn/backends/IBackendInternal.hpp>
+#include <armnn/backends/WorkloadFactory.hpp>
+
+LayerTestResult<float, 4> PowerTest(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+LayerTestResult<float, 4> PowerBroadcast1ElementTest(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+LayerTestResult<float, 4> PowerBroadcastTest(
+ armnn::IWorkloadFactory & workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr & memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+LayerTestResult<armnn::Half, 4> PowerFloat16Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+LayerTestResult<armnn::Half, 4> PowerBroadcast1ElementFloat16Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+LayerTestResult<armnn::Half, 4> PowerBroadcastFloat16Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+LayerTestResult<uint8_t, 4> PowerBroadcast1ElementUint8Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+LayerTestResult<uint8_t, 4> PowerUint8Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+LayerTestResult<uint8_t, 4> PowerBroadcastUint8Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+LayerTestResult<int16_t , 4> PowerInt16Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+LayerTestResult<int16_t, 4> PowerBroadcast1ElementInt16Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+LayerTestResult<int16_t, 4> PowerBroadcastInt16Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+LayerTestResult<int32_t, 4> PowerInt32Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+LayerTestResult<int32_t, 4> PowerBroadcastInt32Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+LayerTestResult<int32_t, 4> PowerBroadcast1ElementInt32Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
diff --git a/src/backends/backendsCommon/test/layerTests/SquaredDifferenceTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/SquaredDifferenceTestImpl.cpp
new file mode 100644
index 0000000..8bb31ed
--- /dev/null
+++ b/src/backends/backendsCommon/test/layerTests/SquaredDifferenceTestImpl.cpp
@@ -0,0 +1,539 @@
+//
+// Copyright © 2023 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "SquaredDifferenceTestImpl.hpp"
+
+#include "ElementwiseTestImpl.hpp"
+
+LayerTestResult<float, 4> SquaredDifferenceTest(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ IgnoreUnused(memoryManager);
+ unsigned int shape[] = { 2, 2, 2, 2 };
+
+ std::vector<float> input0 =
+ {
+ 7.f, 3.f, 4.f, 2.f, 6.f, 4.f, 2.f, 1.f,
+ 3.f, 1.f, 0.f, 1.f, 4.f, 3.f, 4.f, 3.f
+ };
+
+ std::vector<float> input1 =
+ {
+ 5.f, 3.f, 2.f, 5.f, 3.f, 3.f, 4.f, 3.f,
+ 4.f, 4.f, 3.f, 2.f, 5.f, 5.f, 5.f, 5.f
+ };
+
+ std::vector<float> output
+ {
+ 4.f, 0.f, 4.f, 9.f, 9.f, 1.f, 4.f, 4.f,
+ 1.f, 9.f, 9.f, 1.f, 1.f, 4.f, 1.f, 4.f
+ };
+
+ return ElementwiseTestHelper<4, armnn::DataType::Float32, armnn::DataType::Float32>(
+ workloadFactory,
+ memoryManager,
+ armnn::BinaryOperation::SqDiff,
+ shape,
+ input0,
+ shape,
+ input1,
+ shape,
+ output,
+ tensorHandleFactory);
+}
+
+LayerTestResult<float, 4> SquaredDiffBroadcast1ElementTest(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ IgnoreUnused(memoryManager);
+ unsigned int shape0[] = { 1, 2, 2, 2 };
+ unsigned int shape1[] = { 1, 1, 1, 1 };
+
+ std::vector<float> input0 =
+ {
+ 1.f, 2.f, 3.f, 4.f, 5.f, 0.f, 2.f, 1.f
+ };
+
+ std::vector<float> input1 = { 2.f };
+
+ std::vector<float> output =
+ {
+ 1.f, 0.f, 1.f, 4.f, 9.f, 4.f, 0.f, 1.f
+ };
+
+ return ElementwiseTestHelper<4, armnn::DataType::Float32, armnn::DataType::Float32>(
+ workloadFactory,
+ memoryManager,
+ armnn::BinaryOperation::SqDiff,
+ shape0,
+ input0,
+ shape1,
+ input1,
+ shape0,
+ output,
+ tensorHandleFactory);
+}
+
+LayerTestResult<float, 4> SquaredDiffBroadcastTest(
+ armnn::IWorkloadFactory & workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr & memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ IgnoreUnused(memoryManager);
+ const unsigned int shape0[] = { 1, 2, 2, 3 };
+ const unsigned int shape1[] = { 1, 1, 1, 3 };
+
+ std::vector<float> input0 =
+ {
+ 1.f, 2.f, 3.f, 3.f, 6.f, 4.f,
+ 4.f, 0.f, 2.f, 3.f, 4.f, 4.f
+ };
+
+ std::vector<float> input1 = { 1.f, 3.f, 1.f };
+
+ std::vector<float> output =
+ {
+ 0.f, 1.f, 4.f, 4.f, 9.f, 9.f,
+ 9.f, 9.f, 1.f, 4.f, 1.f, 9.f
+ };
+
+ return ElementwiseTestHelper<4, armnn::DataType::Float32, armnn::DataType::Float32>(
+ workloadFactory,
+ memoryManager,
+ armnn::BinaryOperation::SqDiff,
+ shape0,
+ input0,
+ shape1,
+ input1,
+ shape0,
+ output,
+ tensorHandleFactory);
+}
+
+LayerTestResult<armnn::Half, 4> SquaredDifferenceFloat16Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ IgnoreUnused(memoryManager);
+ using namespace half_float::literal;
+
+ unsigned int shape[] = { 2, 2, 2, 2 };
+
+ std::vector<armnn::Half> input0 =
+ {
+ 1._h, 5._h, 1._h, 4._h, 6._h, 1._h, 3._h, 5._h,
+ 3._h, 7._h, 6._h, 3._h, 8._h, 4._h, 4._h, 2._h
+ };
+
+ std::vector<armnn::Half> input1 =
+ {
+ 2._h, 2._h, 2._h, 2._h, 3._h, 3._h, 3._h, 3._h,
+ 4._h, 4._h, 4._h, 4._h, 5._h, 6._h, 5._h, 5._h
+ };
+
+ std::vector<armnn::Half> output
+ {
+ 1._h, 9._h, 1._h, 4._h, 9._h, 4._h, 0._h, 4._h,
+ 1._h, 9._h, 4._h, 1._h, 9._h, 4._h, 1._h, 9._h
+ };
+
+ return ElementwiseTestHelper<4, armnn::DataType::Float16, armnn::DataType::Float16>(
+ workloadFactory,
+ memoryManager,
+ armnn::BinaryOperation::SqDiff,
+ shape,
+ input0,
+ shape,
+ input1,
+ shape,
+ output,
+ tensorHandleFactory);
+}
+
+LayerTestResult<armnn::Half, 4> SquaredDiffBroadcast1ElementFloat16Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ IgnoreUnused(memoryManager);
+ using namespace half_float::literal;
+
+ const unsigned int shape0[] = { 1, 2, 2, 3 };
+ const unsigned int shape1[] = { 1, 1, 1, 1 };
+
+ std::vector<armnn::Half> input0 =
+ {
+ 1._h, 2._h, 3._h, 4._h, 5._h, 4._h,
+ 1._h, 5._h, 4._h, 2._h, 0._h, 1._h
+ };
+
+ std::vector<armnn::Half> input1 = { 2._h };
+
+ std::vector<armnn::Half> output =
+ {
+ 1._h, 0._h, 1._h, 4._h, 9._h, 4._h,
+ 1._h, 9._h, 4._h, 0._h, 4._h, 1._h
+ };
+
+ return ElementwiseTestHelper<4, armnn::DataType::Float16, armnn::DataType::Float16>(
+ workloadFactory,
+ memoryManager,
+ armnn::BinaryOperation::SqDiff,
+ shape0,
+ input0,
+ shape1,
+ input1,
+ shape0,
+ output,
+ tensorHandleFactory);
+}
+
+LayerTestResult<armnn::Half, 4> SquaredDiffBroadcastFloat16Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ IgnoreUnused(memoryManager);
+ using namespace half_float::literal;
+ const unsigned int shape0[] = { 1, 2, 2, 3 };
+ const unsigned int shape1[] = { 1, 1, 1, 3 };
+
+ std::vector<armnn::Half> input0 =
+ {
+ 4._h, 2._h, 3._h, 4._h, 5._h, 5._h,
+ 2._h, 8._h, 1._h, 1._h, 2._h, 4._h
+ };
+
+ std::vector<armnn::Half> input1 = { 1._h, 5._h, 3._h };
+
+ std::vector<armnn::Half> output =
+ {
+ 9._h, 9._h, 0._h, 9._h, 0._h, 4._h,
+ 1._h, 9._h, 4._h, 0._h, 9._h, 1._h
+ };
+
+ return ElementwiseTestHelper<4, armnn::DataType::Float16, armnn::DataType::Float16>(
+ workloadFactory,
+ memoryManager,
+ armnn::BinaryOperation::SqDiff,
+ shape0,
+ input0,
+ shape1,
+ input1,
+ shape0,
+ output,
+ tensorHandleFactory);
+}
+
+LayerTestResult<uint8_t, 4> SquaredDifferenceUint8Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ IgnoreUnused(memoryManager);
+ const unsigned int shape0[] = { 1, 1, 2, 2 };
+ const unsigned int shape1[] = { 1, 1, 2, 2 };
+
+ std::vector<uint8_t> input0 = { 4, 2, 4, 3 };
+
+ std::vector<uint8_t> input1 = { 1, 2, 2, 2 };
+
+ std::vector<uint8_t> output = { 9, 0, 4, 1 };
+
+ return ElementwiseTestHelper<4, armnn::DataType::QAsymmU8, armnn::DataType::QAsymmU8>(
+ workloadFactory,
+ memoryManager,
+ armnn::BinaryOperation::SqDiff,
+ shape0,
+ input0,
+ shape1,
+ input1,
+ shape0,
+ output,
+ tensorHandleFactory);
+}
+
+LayerTestResult<uint8_t, 4> SquaredDiffBroadcast1ElementUint8Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ IgnoreUnused(memoryManager);
+ const unsigned int shape0[] = { 1, 1, 2, 2 };
+ const unsigned int shape1[] = { 1, 1, 1, 1 };
+
+ std::vector<uint8_t> input0 = { 4, 5, 1, 0 };
+
+ std::vector<uint8_t> input1 = { 2 };
+
+ std::vector<uint8_t> output = { 4, 9, 1, 4 };
+
+ return ElementwiseTestHelper<4, armnn::DataType::QAsymmU8, armnn::DataType::QAsymmU8>(
+ workloadFactory,
+ memoryManager,
+ armnn::BinaryOperation::SqDiff,
+ shape0,
+ input0,
+ shape1,
+ input1,
+ shape0,
+ output,
+ tensorHandleFactory);
+}
+
+LayerTestResult<uint8_t, 4> SquaredDiffBroadcastUint8Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ IgnoreUnused(memoryManager);
+ const unsigned int shape0[] = { 1, 1, 2, 2 };
+ const unsigned int shape1[] = { 1, 1, 1, 2 };
+
+ std::vector<uint8_t> input0 = { 4, 12, 3, 6 };
+
+ std::vector<uint8_t> input1 = { 2, 9 };
+
+ std::vector<uint8_t> output = { 4, 9, 1, 9 };
+
+ return ElementwiseTestHelper<4, armnn::DataType::QAsymmU8, armnn::DataType::QAsymmU8>(
+ workloadFactory,
+ memoryManager,
+ armnn::BinaryOperation::SqDiff,
+ shape0,
+ input0,
+ shape1,
+ input1,
+ shape0,
+ output,
+ tensorHandleFactory);
+}
+
+LayerTestResult<int16_t, 4> SquaredDifferenceInt16Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ IgnoreUnused(memoryManager);
+ unsigned int shape[] = { 2, 2, 2, 2 };
+
+ std::vector<int16_t> input0 =
+ {
+ 1, 5, 1, 4, 6, 9, 6, 5,
+ 3, 2, 3, 6, 4, 4, 1, 4
+ };
+
+ std::vector<int16_t> input1 =
+ {
+ 2, 2, 0, 4, 3, 7, 3, 3,
+ 4, 4, 4, 9, 7, 5, 4, 5
+ };
+
+ std::vector<int16_t> output
+ {
+ 1, 9, 1, 0, 9, 4, 9, 4,
+ 1, 4, 1, 9, 9, 1, 9, 1
+ };
+
+ return ElementwiseTestHelper<4, armnn::DataType::QSymmS16, armnn::DataType::QSymmS16>(
+ workloadFactory,
+ memoryManager,
+ armnn::BinaryOperation::SqDiff,
+ shape,
+ input0,
+ shape,
+ input1,
+ shape,
+ output,
+ tensorHandleFactory);
+}
+
+LayerTestResult<int16_t, 4> SquaredDiffBroadcast1ElementInt16Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ IgnoreUnused(memoryManager);
+ const unsigned int shape0[] = { 1, 2, 2, 3 };
+ const unsigned int shape1[] = { 1, 1, 1, 1 };
+
+ std::vector<int16_t> input0 =
+ {
+ 1, 2, 3, 4, 5, 0,
+ 5, 4, 1, 4, 5, 2
+ };
+
+ std::vector<int16_t> input1 = { 2 };
+
+ std::vector<int16_t> output =
+ {
+ 1, 0, 1, 4, 9, 4,
+ 9, 4, 1, 4, 9, 0
+ };
+
+ return ElementwiseTestHelper<4, armnn::DataType::QSymmS16, armnn::DataType::QSymmS16>(
+ workloadFactory,
+ memoryManager,
+ armnn::BinaryOperation::SqDiff,
+ shape0,
+ input0,
+ shape1,
+ input1,
+ shape0,
+ output,
+ tensorHandleFactory);
+}
+
+LayerTestResult<int16_t, 4> SquaredDiffBroadcastInt16Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ IgnoreUnused(memoryManager);
+ const unsigned int shape0[] = { 1, 2, 2, 3 };
+ const unsigned int shape1[] = { 1, 1, 1, 3 };
+
+ std::vector<int16_t> input0 =
+ {
+ 4, 2, 1, 4, 5, 6,
+ 7, 3, 5, 8, 1, 5
+ };
+
+ std::vector<int16_t> input1 = { 7, 2, 3 };
+
+ std::vector<int16_t> output =
+ {
+ 9, 0, 4, 9, 9, 9,
+ 0, 1, 4, 1, 1, 4
+ };
+
+ return ElementwiseTestHelper<4, armnn::DataType::QSymmS16, armnn::DataType::QSymmS16>(
+ workloadFactory,
+ memoryManager,
+ armnn::BinaryOperation::SqDiff,
+ shape0,
+ input0,
+ shape1,
+ input1,
+ shape0,
+ output,
+ tensorHandleFactory);
+}
+
+LayerTestResult<int32_t, 4> SquaredDifferenceInt32Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ IgnoreUnused(memoryManager);
+ unsigned int shape[] = { 2, 2, 2, 2 };
+
+ std::vector<int32_t> input0 =
+ {
+ 1, 3, 4, 3, 6, 4, 2, 6,
+ 3, 1, 3, 1, 4, 3, 4, 3
+ };
+
+ std::vector<int32_t> input1 =
+ {
+ 2, 2, 2, 2, 3, 3, 4, 3,
+ 4, 4, 4, 4, 5, 5, 5, 5
+ };
+
+ std::vector<int32_t> output
+ {
+ 1, 1, 4, 1, 9, 1, 4, 9,
+ 1, 9, 1, 9, 1, 4, 1, 4
+ };
+
+ return ElementwiseTestHelper<4, armnn::DataType::Signed32, armnn::DataType::Signed32>(
+ workloadFactory,
+ memoryManager,
+ armnn::BinaryOperation::SqDiff,
+ shape,
+ input0,
+ shape,
+ input1,
+ shape,
+ output,
+ tensorHandleFactory);
+}
+
+LayerTestResult<int32_t, 4> SquaredDiffBroadcastInt32Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ IgnoreUnused(memoryManager);
+ const unsigned int shape0[] = { 1, 2, 2, 3 };
+ const unsigned int shape1[] = { 1, 1, 1, 3 };
+
+ std::vector<int32_t> input0 =
+ {
+ 4, 4, 3, 4, 5, 6,
+ 5, 8, 6, 3, 9, 5
+ };
+
+ std::vector<int32_t> input1 = { 2, 7, 3 };
+
+ std::vector<int32_t> output =
+ {
+ 4, 9, 0, 4, 4, 9,
+ 9, 1, 9, 1, 4, 4
+ };
+
+ return ElementwiseTestHelper<4, armnn::DataType::Signed32, armnn::DataType::Signed32>(
+ workloadFactory,
+ memoryManager,
+ armnn::BinaryOperation::SqDiff,
+ shape0,
+ input0,
+ shape1,
+ input1,
+ shape0,
+ output,
+ tensorHandleFactory);
+}
+
+LayerTestResult<int32_t, 4> SquaredDiffBroadcast1ElementInt32Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ IgnoreUnused(memoryManager);
+ const unsigned int shape0[] = { 1, 2, 2, 3 };
+ const unsigned int shape1[] = { 1, 1, 1, 1 };
+
+ std::vector<int32_t> input0 =
+ {
+ 1, 2, 3, 4, 5, 3,
+ 3, 1, 0, 2, 1, 5
+ };
+
+ std::vector<int32_t> input1 = { 2 };
+
+ std::vector<int32_t> output =
+ {
+ 1, 0, 1, 4, 9, 1,
+ 1, 1, 4, 0, 1, 9
+ };
+
+ return ElementwiseTestHelper<4, armnn::DataType::Signed32, armnn::DataType::Signed32>(
+ workloadFactory,
+ memoryManager,
+ armnn::BinaryOperation::SqDiff,
+ shape0,
+ input0,
+ shape1,
+ input1,
+ shape0,
+ output,
+ tensorHandleFactory);
+}
diff --git a/src/backends/backendsCommon/test/layerTests/SquaredDifferenceTestImpl.hpp b/src/backends/backendsCommon/test/layerTests/SquaredDifferenceTestImpl.hpp
new file mode 100644
index 0000000..1d87700
--- /dev/null
+++ b/src/backends/backendsCommon/test/layerTests/SquaredDifferenceTestImpl.hpp
@@ -0,0 +1,88 @@
+//
+// Copyright © 2023 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#pragma once
+
+#include <armnnTestUtils/LayerTestResult.hpp>
+
+#include <ResolveType.hpp>
+
+#include <armnn/backends/IBackendInternal.hpp>
+#include <armnn/backends/WorkloadFactory.hpp>
+
+LayerTestResult<float, 4> SquaredDifferenceTest(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+LayerTestResult<float, 4> SquaredDiffBroadcast1ElementTest(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+LayerTestResult<float, 4> SquaredDiffBroadcastTest(
+ armnn::IWorkloadFactory & workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr & memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+LayerTestResult<armnn::Half, 4> SquaredDifferenceFloat16Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+LayerTestResult<armnn::Half, 4> SquaredDiffBroadcast1ElementFloat16Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+LayerTestResult<armnn::Half, 4> SquaredDiffBroadcastFloat16Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+LayerTestResult<uint8_t, 4> SquaredDiffBroadcast1ElementUint8Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+LayerTestResult<uint8_t, 4> SquaredDifferenceUint8Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+LayerTestResult<uint8_t, 4> SquaredDiffBroadcastUint8Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+LayerTestResult<int16_t , 4> SquaredDifferenceInt16Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+LayerTestResult<int16_t, 4> SquaredDiffBroadcast1ElementInt16Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+LayerTestResult<int16_t, 4> SquaredDiffBroadcastInt16Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+LayerTestResult<int32_t, 4> SquaredDifferenceInt32Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+LayerTestResult<int32_t, 4> SquaredDiffBroadcastInt32Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+LayerTestResult<int32_t, 4> SquaredDiffBroadcast1ElementInt32Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);