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authorAron Virginas-Tar <Aron.Virginas-Tar@arm.com>2019-08-28 18:08:46 +0100
committermike.kelly <mike.kelly@arm.com>2019-08-30 10:58:54 +0000
commit00d306e4db5153a4f4d280de4d4cf3e03788fefb (patch)
tree329c15f71c662e199a24dc0812bf95cb389ddbd8 /src/backends/backendsCommon/test/layerTests/SpaceToBatchNdTestImpl.cpp
parent08b518687d2bf2683a2c5f571d3e76d71d67d048 (diff)
downloadarmnn-00d306e4db5153a4f4d280de4d4cf3e03788fefb.tar.gz
IVGCVSW-3381 Break up LayerTests.hpp into more manageable files
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com> Change-Id: Icf39434f09fd340ad664cb3b97b8bee6d9da4838
Diffstat (limited to 'src/backends/backendsCommon/test/layerTests/SpaceToBatchNdTestImpl.cpp')
-rw-r--r--src/backends/backendsCommon/test/layerTests/SpaceToBatchNdTestImpl.cpp441
1 files changed, 441 insertions, 0 deletions
diff --git a/src/backends/backendsCommon/test/layerTests/SpaceToBatchNdTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/SpaceToBatchNdTestImpl.cpp
new file mode 100644
index 0000000000..152ce2c06d
--- /dev/null
+++ b/src/backends/backendsCommon/test/layerTests/SpaceToBatchNdTestImpl.cpp
@@ -0,0 +1,441 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "SpaceToBatchNdTestImpl.hpp"
+
+#include <Permute.hpp>
+#include <ResolveType.hpp>
+
+#include <armnn/ArmNN.hpp>
+
+#include <backendsCommon/test/TensorCopyUtils.hpp>
+#include <backendsCommon/test/WorkloadTestUtils.hpp>
+
+#include <test/TensorHelpers.hpp>
+
+namespace
+{
+
+template<typename T>
+LayerTestResult<T, 4> SpaceToBatchNdTestImpl(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ armnn::TensorInfo& inputTensorInfo,
+ armnn::TensorInfo& outputTensorInfo,
+ std::vector<float>& inputData,
+ std::vector<float>& outputExpectedData,
+ armnn::SpaceToBatchNdQueueDescriptor descriptor,
+ const float qScale = 1.0f,
+ const int32_t qOffset = 0)
+{
+ const armnn::PermutationVector NCHWToNHWC = {0, 3, 1, 2};
+ if (descriptor.m_Parameters.m_DataLayout == armnn::DataLayout::NHWC)
+ {
+ inputTensorInfo = armnnUtils::Permuted(inputTensorInfo, NCHWToNHWC);
+ outputTensorInfo = armnnUtils::Permuted(outputTensorInfo, NCHWToNHWC);
+
+ std::vector<float> inputTmp(inputData.size());
+ armnnUtils::Permute(inputTensorInfo.GetShape(), NCHWToNHWC,
+ inputData.data(), inputTmp.data(), sizeof(float));
+ inputData = inputTmp;
+
+ std::vector<float> outputTmp(outputExpectedData.size());
+ armnnUtils::Permute(outputTensorInfo.GetShape(), NCHWToNHWC,
+ 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.CreateSpaceToBatchNd(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> SpaceToBatchNdSimpleTest(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ armnn::DataLayout dataLayout = armnn::DataLayout::NCHW)
+{
+ armnn::TensorInfo inputTensorInfo;
+ armnn::TensorInfo outputTensorInfo;
+
+ unsigned int inputShape[] = {1, 1, 2, 2};
+ unsigned int outputShape[] = {4, 1, 1, 1};
+
+ armnn::SpaceToBatchNdQueueDescriptor desc;
+ desc.m_Parameters.m_DataLayout = dataLayout;
+ desc.m_Parameters.m_BlockShape = {2, 2};
+ desc.m_Parameters.m_PadList = {{0, 0}, {0, 0}};
+
+ inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType);
+ outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType);
+
+ 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
+ });
+
+ return SpaceToBatchNdTestImpl<T>(
+ workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected, desc);
+}
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 4> SpaceToBatchNdMultiChannelsTest(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ armnn::DataLayout dataLayout = armnn::DataLayout::NCHW)
+{
+ armnn::TensorInfo inputTensorInfo;
+ armnn::TensorInfo outputTensorInfo;
+
+ unsigned int inputShape[] = {1, 3, 2, 2};
+ unsigned int outputShape[] = {4, 3, 1, 1};
+
+ armnn::SpaceToBatchNdQueueDescriptor desc;
+ desc.m_Parameters.m_DataLayout = dataLayout;
+ desc.m_Parameters.m_BlockShape = {2, 2};
+ desc.m_Parameters.m_PadList = {{0, 0}, {0, 0}};
+
+ inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType);
+ outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType);
+
+ std::vector<float> input = std::vector<float>(
+ {
+ 1.0f, 4.0f, 7.0f, 10.0f,
+ 2.0f, 5.0, 8.0, 11.0f,
+ 3.0f, 6.0f, 9.0f, 12.0f
+ });
+
+ std::vector<float> outputExpected = std::vector<float>(
+ {
+ 1.0f, 2.0f, 3.0f,
+ 4.0f, 5.0f, 6.0f,
+ 7.0f, 8.0f, 9.0f,
+ 10.0f, 11.0f, 12.0f
+ });
+
+ return SpaceToBatchNdTestImpl<T>(
+ workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected, desc);
+}
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 4> SpaceToBatchNdMultiBlockTest(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ armnn::DataLayout dataLayout = armnn::DataLayout::NCHW)
+{
+ armnn::TensorInfo inputTensorInfo;
+ armnn::TensorInfo outputTensorInfo;
+
+ unsigned int inputShape[] = {1, 1, 4, 4};
+ unsigned int outputShape[] = {4, 1, 2, 2};
+
+ armnn::SpaceToBatchNdQueueDescriptor desc;
+ desc.m_Parameters.m_DataLayout = dataLayout;
+ desc.m_Parameters.m_BlockShape = {2, 2};
+ desc.m_Parameters.m_PadList = {{0, 0}, {0, 0}};
+
+ inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType);
+ outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType);
+
+ std::vector<float> input = std::vector<float>(
+ {
+ 1.0f, 2.0f, 3.0f, 4.0f,
+ 5.0f, 6.0f, 7.0f, 8.0f,
+ 9.0f, 10.0f, 11.0f, 12.0f,
+ 13.0f, 14.0f, 15.0f, 16.0f
+ });
+
+ std::vector<float> outputExpected = std::vector<float>(
+ {
+ 1.0f, 3.0f, 9.0f, 11.0f,
+ 2.0f, 4.0f, 10.0f, 12.0f,
+ 5.0f, 7.0f, 13.0f, 15.0f,
+ 6.0f, 8.0f, 14.0f, 16.0f
+ });
+
+ return SpaceToBatchNdTestImpl<T>(
+ workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected, desc);
+}
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 4> SpaceToBatchNdPaddingTest(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ armnn::DataLayout dataLayout = armnn::DataLayout::NCHW)
+{
+ armnn::TensorInfo inputTensorInfo;
+ armnn::TensorInfo outputTensorInfo;
+
+ unsigned int inputShape[] = {2, 1, 2, 4};
+ unsigned int outputShape[] = {8, 1, 1, 3};
+
+ armnn::SpaceToBatchNdQueueDescriptor desc;
+ desc.m_Parameters.m_DataLayout = dataLayout;
+ desc.m_Parameters.m_BlockShape = {2, 2};
+ desc.m_Parameters.m_PadList = {{0, 0}, {2, 0}};
+
+ inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType);
+ outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType);
+
+ std::vector<float> input = std::vector<float>(
+ {
+ 1.0f, 2.0f, 3.0f, 4.0f,
+ 5.0f, 6.0f, 7.0f, 8.0f,
+ 9.0f, 10.0f, 11.0f, 12.0f,
+ 13.0f, 14.0f, 15.0f, 16.0f
+ });
+
+ std::vector<float> outputExpected = std::vector<float>(
+ {
+ 0.0f, 1.0f, 3.0f,
+ 0.0f, 9.0f, 11.0f,
+ 0.0f, 2.0f, 4.0f,
+ 0.0f, 10.0f, 12.0f,
+ 0.0f, 5.0f, 7.0f,
+ 0.0f, 13.0f, 15.0f,
+ 0.0f, 6.0f, 8.0f,
+ 0.0f, 14.0f, 16.0f
+ });
+
+ return SpaceToBatchNdTestImpl<T>(
+ workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected, desc);
+}
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 4> SpaceToBatchNdSimpleNhwcTest(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ return SpaceToBatchNdSimpleTest<ArmnnType>(workloadFactory, memoryManager, armnn::DataLayout::NHWC);
+}
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 4> SpaceToBatchNdMultiChannelsNhwcTest(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ return SpaceToBatchNdMultiChannelsTest<ArmnnType>(workloadFactory, memoryManager, armnn::DataLayout::NHWC);
+}
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 4> SpaceToBatchNdMultiBlockNhwcTest(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ return SpaceToBatchNdMultiBlockTest<ArmnnType>(workloadFactory, memoryManager, armnn::DataLayout::NHWC);
+}
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 4> SpaceToBatchNdPaddingNhwcTest(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ return SpaceToBatchNdPaddingTest<ArmnnType>(workloadFactory, memoryManager, armnn::DataLayout::NHWC);
+}
+
+} // anonymous namespace
+
+LayerTestResult<float, 4> SpaceToBatchNdSimpleFloat32Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ return SpaceToBatchNdSimpleTest<armnn::DataType::Float32>(workloadFactory, memoryManager);
+}
+
+LayerTestResult<float, 4> SpaceToBatchNdMultiChannelsFloat32Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ return SpaceToBatchNdMultiChannelsTest<armnn::DataType::Float32>(workloadFactory, memoryManager);
+}
+
+LayerTestResult<float, 4> SpaceToBatchNdMultiBlockFloat32Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ return SpaceToBatchNdMultiBlockTest<armnn::DataType::Float32>(workloadFactory, memoryManager);
+}
+
+LayerTestResult<float, 4> SpaceToBatchNdPaddingFloat32Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ return SpaceToBatchNdPaddingTest<armnn::DataType::Float32>(workloadFactory, memoryManager);
+}
+
+LayerTestResult<uint8_t, 4> SpaceToBatchNdSimpleUint8Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ return SpaceToBatchNdSimpleTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager);
+}
+
+LayerTestResult<uint8_t, 4> SpaceToBatchNdMultiChannelsUint8Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ return SpaceToBatchNdMultiChannelsTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager);
+}
+
+LayerTestResult<uint8_t, 4> SpaceToBatchNdMultiBlockUint8Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ return SpaceToBatchNdMultiBlockTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager);
+}
+
+LayerTestResult<uint8_t, 4> SpaceToBatchNdPaddingUint8Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ return SpaceToBatchNdPaddingTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager);
+}
+
+LayerTestResult<float, 4> SpaceToBatchNdSimpleNhwcFloat32Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ return SpaceToBatchNdSimpleNhwcTest<armnn::DataType::Float32>(workloadFactory, memoryManager);
+}
+
+LayerTestResult<float, 4> SpaceToBatchNdMultiChannelsNhwcFloat32Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ return SpaceToBatchNdMultiChannelsNhwcTest<armnn::DataType::Float32>(workloadFactory, memoryManager);
+}
+
+LayerTestResult<float, 4> SpaceToBatchNdMultiBlockNhwcFloat32Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ return SpaceToBatchNdMultiBlockNhwcTest<armnn::DataType::Float32>(workloadFactory, memoryManager);
+}
+
+LayerTestResult<float, 4> SpaceToBatchNdPaddingNhwcFloat32Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ return SpaceToBatchNdPaddingNhwcTest<armnn::DataType::Float32>(workloadFactory, memoryManager);
+}
+
+LayerTestResult<uint8_t, 4> SpaceToBatchNdSimpleNhwcUint8Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ return SpaceToBatchNdSimpleNhwcTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager);
+}
+
+LayerTestResult<uint8_t, 4> SpaceToBatchNdMultiChannelsNhwcUint8Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ return SpaceToBatchNdMultiChannelsNhwcTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager);
+}
+
+LayerTestResult<uint8_t, 4> SpaceToBatchNdMultiBlockNhwcUint8Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ return SpaceToBatchNdMultiBlockNhwcTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager);
+}
+
+LayerTestResult<uint8_t, 4> SpaceToBatchNdPaddingNhwcUint8Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ return SpaceToBatchNdPaddingNhwcTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager);
+}
+
+LayerTestResult<int16_t, 4> SpaceToBatchNdSimpleUint16Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ return SpaceToBatchNdSimpleTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager);
+}
+
+LayerTestResult<int16_t, 4> SpaceToBatchNdMultiChannelsUint16Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ return SpaceToBatchNdMultiChannelsTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager);
+}
+
+LayerTestResult<int16_t, 4> SpaceToBatchNdMultiBlockUint16Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ return SpaceToBatchNdMultiBlockTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager);
+}
+
+LayerTestResult<int16_t, 4> SpaceToBatchNdPaddingUint16Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ return SpaceToBatchNdPaddingTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager);
+}
+
+LayerTestResult<int16_t, 4> SpaceToBatchNdSimpleNhwcUint16Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ return SpaceToBatchNdSimpleNhwcTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager);
+}
+
+LayerTestResult<int16_t, 4> SpaceToBatchNdMultiChannelsNhwcUint16Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ return SpaceToBatchNdMultiChannelsNhwcTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager);
+}
+
+LayerTestResult<int16_t, 4> SpaceToBatchNdMultiBlockNhwcUint16Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ return SpaceToBatchNdMultiBlockNhwcTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager);
+}
+
+LayerTestResult<int16_t, 4> SpaceToBatchNdPaddingNhwcUint16Test(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ return SpaceToBatchNdPaddingNhwcTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager);
+}