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-rw-r--r--src/backends/backendsCommon/test/CMakeLists.txt1
-rw-r--r--src/backends/backendsCommon/test/LayerTests.cpp40
-rw-r--r--src/backends/backendsCommon/test/LayerTests.hpp16
-rw-r--r--src/backends/backendsCommon/test/SpaceToDepthTestImpl.hpp147
4 files changed, 204 insertions, 0 deletions
diff --git a/src/backends/backendsCommon/test/CMakeLists.txt b/src/backends/backendsCommon/test/CMakeLists.txt
index 7512c89e9c..7819cfe056 100644
--- a/src/backends/backendsCommon/test/CMakeLists.txt
+++ b/src/backends/backendsCommon/test/CMakeLists.txt
@@ -44,6 +44,7 @@ list(APPEND armnnBackendsCommonUnitTests_sources
QuantizeTestImpl.hpp
RuntimeTestImpl.hpp
SoftmaxTestImpl.hpp
+ SpaceToDepthTestImpl.hpp
SplitterEndToEndTestImpl.hpp
SplitterTestImpl.hpp
StridedSliceTestImpl.hpp
diff --git a/src/backends/backendsCommon/test/LayerTests.cpp b/src/backends/backendsCommon/test/LayerTests.cpp
index 7f0c933f2b..45791e50f2 100644
--- a/src/backends/backendsCommon/test/LayerTests.cpp
+++ b/src/backends/backendsCommon/test/LayerTests.cpp
@@ -33,6 +33,7 @@
#include "FullyConnectedTestImpl.hpp"
#include "GatherTestImpl.hpp"
#include "SpaceToBatchNdTestImpl.hpp"
+#include "SpaceToDepthTestImpl.hpp"
#include "SplitterTestImpl.hpp"
#include "SoftmaxTestImpl.hpp"
#include "StridedSliceTestImpl.hpp"
@@ -8969,6 +8970,45 @@ LayerTestResult<int16_t, 4> SpaceToBatchNdPaddingNHWCUint16Test(
return SpaceToBatchNdPaddingNHWCTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager);
}
+
+LayerTestResult<uint8_t, 4> SpaceToDepthNHWCAsymmQ8Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ return SpaceToDepthSimpleTest<armnn::DataType::QuantisedAsymm8>(
+ workloadFactory,
+ memoryManager);
+}
+
+LayerTestResult<uint8_t, 4> SpaceToDepthNCHWAsymmQ8Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ return SpaceToDepthSimpleTest<armnn::DataType::QuantisedAsymm8>(
+ workloadFactory,
+ memoryManager,
+ armnn::DataLayout::NCHW);
+}
+
+LayerTestResult<float, 4> SpaceToDepthNHWCFloat32Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ return SpaceToDepthFloatTest<armnn::DataType::Float32>(
+ workloadFactory,
+ memoryManager);
+}
+
+LayerTestResult<float, 4> SpaceToDepthNCHWFloat32Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ return SpaceToDepthFloatTest<armnn::DataType::Float32>(
+ workloadFactory,
+ memoryManager,
+ armnn::DataLayout::NCHW);
+}
+
namespace {
template<typename T, std::size_t InputDim, std::size_t OutputDim>
diff --git a/src/backends/backendsCommon/test/LayerTests.hpp b/src/backends/backendsCommon/test/LayerTests.hpp
index bf0d063091..e0b0273d9d 100644
--- a/src/backends/backendsCommon/test/LayerTests.hpp
+++ b/src/backends/backendsCommon/test/LayerTests.hpp
@@ -1914,6 +1914,22 @@ LayerTestResult<float, 4> DequantizeSimpleInt16Test(
armnn::IWorkloadFactory& workloadFactory,
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+LayerTestResult<uint8_t, 4> SpaceToDepthNCHWAsymmQ8Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+
+LayerTestResult<uint8_t, 4> SpaceToDepthNHWCAsymmQ8Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+
+LayerTestResult<float, 4> SpaceToDepthNHWCFloat32Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+
+LayerTestResult<float, 4> SpaceToDepthNCHWFloat32Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
+
LayerTestResult<uint8_t, 4> QuantizeSimpleUint8Test(
armnn::IWorkloadFactory& workloadFactory,
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager);
diff --git a/src/backends/backendsCommon/test/SpaceToDepthTestImpl.hpp b/src/backends/backendsCommon/test/SpaceToDepthTestImpl.hpp
new file mode 100644
index 0000000000..99926cd026
--- /dev/null
+++ b/src/backends/backendsCommon/test/SpaceToDepthTestImpl.hpp
@@ -0,0 +1,147 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+#pragma once
+
+#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>
+
+template<typename T>
+LayerTestResult<T, 4> SpaceToDepthTestImpl(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ armnn::TensorInfo& inputTensorInfo,
+ armnn::TensorInfo& outputTensorInfo,
+ std::vector<float>& inputData,
+ std::vector<float>& outputExpectedData,
+ armnn::SpaceToDepthQueueDescriptor descriptor,
+ const float qScale = 1.0f,
+ const int32_t qOffset = 0)
+{
+ const armnn::PermutationVector NHWCToNCHW = {0, 2, 3, 1};
+
+ if (descriptor.m_Parameters.m_DataLayout == armnn::DataLayout::NCHW)
+ {
+ inputTensorInfo = armnnUtils::Permuted(inputTensorInfo, NHWCToNCHW);
+ outputTensorInfo = armnnUtils::Permuted(outputTensorInfo, NHWCToNCHW);
+
+ std::vector<float> inputTmp(inputData.size());
+ armnnUtils::Permute(inputTensorInfo.GetShape(), NHWCToNCHW,
+ inputData.data(), inputTmp.data(), sizeof(float));
+ inputData = inputTmp;
+
+ std::vector<float> outputTmp(outputExpectedData.size());
+ armnnUtils::Permute(outputTensorInfo.GetShape(), NHWCToNCHW,
+ outputExpectedData.data(), outputTmp.data(), sizeof(float));
+ outputExpectedData = outputTmp;
+ }
+
+ if(armnn::IsQuantizedType<T>())
+ {
+ inputTensorInfo.SetQuantizationScale(qScale);
+ inputTensorInfo.SetQuantizationOffset(qOffset);
+ outputTensorInfo.SetQuantizationScale(qScale);
+ outputTensorInfo.SetQuantizationOffset(qOffset);
+ }
+
+ boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputTensorInfo, QuantizedVector<T>(qScale, qOffset, inputData));
+
+ LayerTestResult<T, 4> ret(outputTensorInfo);
+ ret.outputExpected = MakeTensor<T, 4>(outputTensorInfo, QuantizedVector<T>(qScale, qOffset, outputExpectedData));
+
+ std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo);
+ std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo);
+
+ armnn::WorkloadInfo info;
+ AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get());
+ AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get());
+
+ std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateSpaceToDepth(descriptor, 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;
+}
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 4> SpaceToDepthSimpleTest(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ armnn::DataLayout dataLayout = armnn::DataLayout::NHWC)
+{
+ unsigned int inputShape[] = {1, 2, 2, 1};
+ unsigned int outputShape[] = {1, 1, 1, 4};
+
+ std::vector<float> input = std::vector<float>(
+ {
+ 1.0f, 2.0f, 3.0f, 4.0f
+ });
+
+ std::vector<float> outputExpected = std::vector<float>(
+ {
+ 1.0f, 2.0f, 3.0f, 4.0f
+ });
+
+ armnn::TensorInfo inputTensorInfo;
+ armnn::TensorInfo outputTensorInfo;
+
+ armnn::SpaceToDepthQueueDescriptor desc;
+ desc.m_Parameters.m_DataLayout = dataLayout;
+ desc.m_Parameters.m_BlockSize = 2;
+
+ inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType);
+ outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType);
+
+ return SpaceToDepthTestImpl<T>(
+ workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected, desc);
+}
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 4> SpaceToDepthFloatTest(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ armnn::DataLayout dataLayout = armnn::DataLayout::NHWC)
+{
+ unsigned int inputShape[] = {1, 2, 2, 2};
+ unsigned int outputShape[] = {1, 1, 1, 8};
+
+ std::vector<float> input = std::vector<float>(
+ {
+ 1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f
+ });
+
+ std::vector<float> outputExpected = std::vector<float>(
+ {
+ 1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f
+ });
+
+ armnn::TensorInfo inputTensorInfo;
+ armnn::TensorInfo outputTensorInfo;
+
+ armnn::SpaceToDepthQueueDescriptor desc;
+ desc.m_Parameters.m_DataLayout = dataLayout;
+ desc.m_Parameters.m_BlockSize = 2;
+
+ inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType);
+ outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType);
+
+ return SpaceToDepthTestImpl<T>(
+ workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected, desc);
+}
generated by cgit v1.2.1 (git 2.23.0) at 2024-06-06 11:16:44 +0000