diff options
16 files changed, 116 insertions, 104 deletions
diff --git a/src/backends/backendsCommon/WorkloadData.cpp b/src/backends/backendsCommon/WorkloadData.cpp index d2e893f102..9cc8ba07a8 100644 --- a/src/backends/backendsCommon/WorkloadData.cpp +++ b/src/backends/backendsCommon/WorkloadData.cpp @@ -1024,12 +1024,22 @@ void SpaceToBatchNdQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) c void FloorQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const { - ValidateNumInputs(workloadInfo, "FloorQueueDescriptor", 1); - ValidateNumOutputs(workloadInfo, "FlootQueueDescriptor", 1); + const std::string floorQueueDescString = "FloorQueueDescriptor"; + + ValidateNumInputs(workloadInfo, floorQueueDescString, 1); + ValidateNumOutputs(workloadInfo, floorQueueDescString, 1); + + std::vector<DataType> supportedTypes = + { + DataType::Float32 + }; + + ValidateDataTypes(workloadInfo.m_InputTensorInfos[0], supportedTypes, floorQueueDescString); + ValidateDataTypes(workloadInfo.m_OutputTensorInfos[0], supportedTypes, floorQueueDescString); if (workloadInfo.m_InputTensorInfos[0] != workloadInfo.m_OutputTensorInfos[0]) { - throw InvalidArgumentException("FloorQueueDescriptor: Input and output tensor infos do not match."); + throw InvalidArgumentException(floorQueueDescString + ": Input and output tensor infos do not match."); } } diff --git a/src/backends/backendsCommon/test/CMakeLists.txt b/src/backends/backendsCommon/test/CMakeLists.txt index 040835e7f2..8fbd74d67a 100644 --- a/src/backends/backendsCommon/test/CMakeLists.txt +++ b/src/backends/backendsCommon/test/CMakeLists.txt @@ -41,7 +41,6 @@ list(APPEND armnnBackendsCommonUnitTests_sources Pooling2dTestImpl.hpp QuantizeHelper.hpp QuantizeTestImpl.hpp - FloorTestImpl.hpp RuntimeTestImpl.hpp SoftmaxTestImpl.hpp SplitterEndToEndTestImpl.hpp diff --git a/src/backends/backendsCommon/test/FloorTestImpl.hpp b/src/backends/backendsCommon/test/FloorTestImpl.hpp deleted file mode 100644 index 419b1b7bd8..0000000000 --- a/src/backends/backendsCommon/test/FloorTestImpl.hpp +++ /dev/null @@ -1,56 +0,0 @@ -// -// 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; -} diff --git a/src/backends/backendsCommon/test/LayerTests.cpp b/src/backends/backendsCommon/test/LayerTests.cpp index 4d5ee07695..5679fffe99 100644 --- a/src/backends/backendsCommon/test/LayerTests.cpp +++ b/src/backends/backendsCommon/test/LayerTests.cpp @@ -30,7 +30,6 @@ #include "BatchNormTestImpl.hpp" #include "ActivationTestImpl.hpp" #include "Pooling2dTestImpl.hpp" -#include "FloorTestImpl.hpp" #include "FullyConnectedTestImpl.hpp" #include "GatherTestImpl.hpp" #include "SpaceToBatchNdTestImpl.hpp" diff --git a/src/backends/backendsCommon/test/LayerTests.hpp b/src/backends/backendsCommon/test/LayerTests.hpp index 02beab39ab..d75a10aedd 100644 --- a/src/backends/backendsCommon/test/LayerTests.hpp +++ b/src/backends/backendsCommon/test/LayerTests.hpp @@ -1957,3 +1957,44 @@ LayerTestResult<T, 4> SimpleReshapeTest( return SimpleReshapeTestImpl<T>( workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected); } + +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +LayerTestResult<T, 4> SimpleFloorTest( + armnn::IWorkloadFactory& workloadFactory, + const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) +{ + const armnn::TensorInfo inputTensorInfo({1, 3, 2, 3}, ArmnnType); + const armnn::TensorInfo outputTensorInfo(inputTensorInfo); + + auto input = MakeTensor<T, 4>(inputTensorInfo, ConvertToDataType<ArmnnType>( + { -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 }, + inputTensorInfo)); + + LayerTestResult<T, 4> ret(outputTensorInfo); + ret.outputExpected = MakeTensor<T, 4>(outputTensorInfo, ConvertToDataType<ArmnnType>( + { -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 }, + outputTensorInfo)); + + 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; +}
\ No newline at end of file diff --git a/src/backends/cl/test/ClLayerTests.cpp b/src/backends/cl/test/ClLayerTests.cpp index 76b8175f25..b92e88ef1a 100644 --- a/src/backends/cl/test/ClLayerTests.cpp +++ b/src/backends/cl/test/ClLayerTests.cpp @@ -305,7 +305,7 @@ ARMNN_AUTO_TEST_CASE(Concatenation4dDiffShapeDim1Uint8, Concatenation4dDiffShape ARMNN_AUTO_TEST_CASE(Concatenation4dDiffShapeDim3Uint8, Concatenation4dDiffShapeDim3Uint8Test, false) // Floor -ARMNN_AUTO_TEST_CASE(SimpleFloor, SimpleFloorTest) +ARMNN_AUTO_TEST_CASE(SimpleFloor, SimpleFloorTest<armnn::DataType::Float32>) // Reshape ARMNN_AUTO_TEST_CASE(SimpleReshapeFloat32, SimpleReshapeTest<armnn::DataType::Float32>) diff --git a/src/backends/neon/test/NeonLayerTests.cpp b/src/backends/neon/test/NeonLayerTests.cpp index 08e463ada2..f842892864 100644 --- a/src/backends/neon/test/NeonLayerTests.cpp +++ b/src/backends/neon/test/NeonLayerTests.cpp @@ -403,7 +403,7 @@ ARMNN_AUTO_TEST_CASE(L2Normalization3dNhwc, L2Normalization3dTest, armnn::DataLa ARMNN_AUTO_TEST_CASE(L2Normalization4dNhwc, L2Normalization4dTest, armnn::DataLayout::NHWC) // Floor -ARMNN_AUTO_TEST_CASE(SimpleFloor, SimpleFloorTest) +ARMNN_AUTO_TEST_CASE(SimpleFloor, SimpleFloorTest<armnn::DataType::Float32>) // Greater ARMNN_AUTO_TEST_CASE(SimpleGreater, GreaterSimpleTest) diff --git a/src/backends/reference/RefLayerSupport.cpp b/src/backends/reference/RefLayerSupport.cpp index fbe235dcf2..5ec888bde3 100644 --- a/src/backends/reference/RefLayerSupport.cpp +++ b/src/backends/reference/RefLayerSupport.cpp @@ -597,10 +597,20 @@ bool RefLayerSupport::IsFloorSupported(const TensorInfo& input, Optional<std::string&> reasonIfUnsupported) const { ignore_unused(output); - return IsSupportedForDataTypeRef(reasonIfUnsupported, - input.GetDataType(), - &TrueFunc<>, - &FalseFuncU8<>); + bool supported = true; + + std::array<DataType,1> supportedTypes = + { + DataType::Float32 + }; + + supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported, + "Reference Floor: input type not supported."); + + supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported, + "Reference Floor: output type not supported."); + + return supported; } bool RefLayerSupport::IsFullyConnectedSupported(const TensorInfo& input, diff --git a/src/backends/reference/RefWorkloadFactory.cpp b/src/backends/reference/RefWorkloadFactory.cpp index b829d54be0..500c14b244 100644 --- a/src/backends/reference/RefWorkloadFactory.cpp +++ b/src/backends/reference/RefWorkloadFactory.cpp @@ -288,7 +288,7 @@ std::unique_ptr<IWorkload> RefWorkloadFactory::CreateSpaceToBatchNd(const SpaceT std::unique_ptr<IWorkload> RefWorkloadFactory::CreateFloor(const FloorQueueDescriptor& descriptor, const WorkloadInfo& info) const { - return MakeWorkload<RefFloorFloat32Workload, NullWorkload>(descriptor, info); + return std::make_unique<RefFloorWorkload>(descriptor, info); } std::unique_ptr<IWorkload> RefWorkloadFactory::CreateLstm(const LstmQueueDescriptor& descriptor, diff --git a/src/backends/reference/backend.mk b/src/backends/reference/backend.mk index 46aac056bf..f371c8bd0b 100644 --- a/src/backends/reference/backend.mk +++ b/src/backends/reference/backend.mk @@ -41,7 +41,7 @@ BACKEND_SOURCES := \ workloads/RefDetectionPostProcessUint8Workload.cpp \ workloads/RefElementwiseWorkload.cpp \ workloads/RefFakeQuantizationFloat32Workload.cpp \ - workloads/RefFloorFloat32Workload.cpp \ + workloads/RefFloorWorkload.cpp \ workloads/RefFullyConnectedWorkload.cpp \ workloads/RefGatherWorkload.cpp \ workloads/RefL2NormalizationFloat32Workload.cpp \ diff --git a/src/backends/reference/test/RefLayerTests.cpp b/src/backends/reference/test/RefLayerTests.cpp index ebd9ce2a26..6743ef9c3d 100644 --- a/src/backends/reference/test/RefLayerTests.cpp +++ b/src/backends/reference/test/RefLayerTests.cpp @@ -452,7 +452,7 @@ ARMNN_AUTO_TEST_CASE(Concatenation4dDiffShapeDim2Uint8, Concatenation4dDiffShape ARMNN_AUTO_TEST_CASE(Concatenation4dDiffShapeDim3Uint8, Concatenation4dDiffShapeDim3Uint8Test, true) // Floor -ARMNN_AUTO_TEST_CASE(SimpleFloor, SimpleFloorTest) +ARMNN_AUTO_TEST_CASE(SimpleFloor, SimpleFloorTest<armnn::DataType::Float32>) // Reshape ARMNN_AUTO_TEST_CASE(SimpleReshapeFloat32, SimpleReshapeTest<armnn::DataType::Float32>) diff --git a/src/backends/reference/workloads/CMakeLists.txt b/src/backends/reference/workloads/CMakeLists.txt index e57a40a9ba..df126c4308 100644 --- a/src/backends/reference/workloads/CMakeLists.txt +++ b/src/backends/reference/workloads/CMakeLists.txt @@ -67,8 +67,8 @@ list(APPEND armnnRefBackendWorkloads_sources RefDetectionPostProcessFloat32Workload.hpp RefFakeQuantizationFloat32Workload.cpp RefFakeQuantizationFloat32Workload.hpp - RefFloorFloat32Workload.cpp - RefFloorFloat32Workload.hpp + RefFloorWorkload.cpp + RefFloorWorkload.hpp RefFullyConnectedWorkload.cpp RefFullyConnectedWorkload.hpp RefGatherWorkload.cpp diff --git a/src/backends/reference/workloads/RefFloorFloat32Workload.cpp b/src/backends/reference/workloads/RefFloorFloat32Workload.cpp deleted file mode 100644 index cc1f8800dc..0000000000 --- a/src/backends/reference/workloads/RefFloorFloat32Workload.cpp +++ /dev/null @@ -1,29 +0,0 @@ -// -// Copyright © 2017 Arm Ltd. All rights reserved. -// SPDX-License-Identifier: MIT -// - -#include "RefFloorFloat32Workload.hpp" - -#include "RefWorkloadUtils.hpp" - -#include "Profiling.hpp" - -namespace armnn -{ - -void RefFloorFloat32Workload::Execute() const -{ - ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefFloorFloat32Workload_Execute"); - - const float* const input = GetInputTensorDataFloat(0, m_Data); - float* const output = GetOutputTensorDataFloat(0, m_Data); - - unsigned int numElements = GetTensorInfo(m_Data.m_Inputs[0]).GetNumElements(); - for (unsigned int i = 0; i < numElements; ++i) - { - output[i] = floorf(input[i]); - } -} - -} //namespace armnn diff --git a/src/backends/reference/workloads/RefFloorWorkload.cpp b/src/backends/reference/workloads/RefFloorWorkload.cpp new file mode 100644 index 0000000000..d96b18b530 --- /dev/null +++ b/src/backends/reference/workloads/RefFloorWorkload.cpp @@ -0,0 +1,38 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "RefFloorWorkload.hpp" + +#include "Decoders.hpp" +#include "Encoders.hpp" +#include "RefWorkloadUtils.hpp" +#include "Profiling.hpp" + +namespace armnn +{ + +void RefFloorWorkload::Execute() const +{ + ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefFloorFloat32Workload_Execute"); + + const TensorInfo &inputTensorInfo = GetTensorInfo(m_Data.m_Inputs[0]); + std::unique_ptr<Decoder<float>> decoderPtr = MakeDecoder<float>(inputTensorInfo, m_Data.m_Inputs[0]->Map()); + Decoder<float> &decoder = *decoderPtr; + + const TensorInfo &outputTensorInfo = GetTensorInfo(m_Data.m_Outputs[0]); + std::unique_ptr<Encoder<float>> encoderPtr = MakeEncoder<float>(outputTensorInfo, m_Data.m_Outputs[0]->Map()); + Encoder<float> &encoder = *encoderPtr; + + unsigned int numElements = GetTensorInfo(m_Data.m_Inputs[0]).GetNumElements(); + + for (unsigned int i = 0; i < numElements; ++i) + { + encoder.Set(floorf(decoder.Get())); + ++decoder; + ++encoder; + } +} + +} //namespace armnn diff --git a/src/backends/reference/workloads/RefFloorFloat32Workload.hpp b/src/backends/reference/workloads/RefFloorWorkload.hpp index 3f540d068d..2dea3a4259 100644 --- a/src/backends/reference/workloads/RefFloorFloat32Workload.hpp +++ b/src/backends/reference/workloads/RefFloorWorkload.hpp @@ -11,10 +11,10 @@ namespace armnn { -class RefFloorFloat32Workload : public Float32Workload<FloorQueueDescriptor> +class RefFloorWorkload : public BaseWorkload<FloorQueueDescriptor> { public: - using Float32Workload<FloorQueueDescriptor>::Float32Workload; + using BaseWorkload<FloorQueueDescriptor>::BaseWorkload; virtual void Execute() const override; }; diff --git a/src/backends/reference/workloads/RefWorkloads.hpp b/src/backends/reference/workloads/RefWorkloads.hpp index c20e2f6191..c8c26b0b83 100644 --- a/src/backends/reference/workloads/RefWorkloads.hpp +++ b/src/backends/reference/workloads/RefWorkloads.hpp @@ -26,7 +26,7 @@ #include "RefDepthwiseConvolution2dWorkload.hpp" #include "FullyConnected.hpp" #include "Gather.hpp" -#include "RefFloorFloat32Workload.hpp" +#include "RefFloorWorkload.hpp" #include "RefSoftmaxWorkload.hpp" #include "RefResizeBilinearFloat32Workload.hpp" #include "RefBatchNormalizationUint8Workload.hpp" |