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-rw-r--r--src/backends/reference/RefLayerSupport.cpp28
-rw-r--r--src/backends/reference/RefWorkloadFactory.cpp33
-rw-r--r--src/backends/reference/backend.mk2
-rw-r--r--src/backends/reference/test/RefCreateWorkloadTests.cpp14
-rw-r--r--src/backends/reference/test/RefLayerTests.cpp8
-rw-r--r--src/backends/reference/workloads/CMakeLists.txt4
-rw-r--r--src/backends/reference/workloads/RefL2NormalizationFloat32Workload.cpp69
-rw-r--r--src/backends/reference/workloads/RefL2NormalizationWorkload.cpp75
-rw-r--r--src/backends/reference/workloads/RefL2NormalizationWorkload.hpp (renamed from src/backends/reference/workloads/RefL2NormalizationFloat32Workload.hpp)7
-rw-r--r--src/backends/reference/workloads/RefWorkloads.hpp2
10 files changed, 142 insertions, 100 deletions
diff --git a/src/backends/reference/RefLayerSupport.cpp b/src/backends/reference/RefLayerSupport.cpp
index b508dfd29d..e42e4242e0 100644
--- a/src/backends/reference/RefLayerSupport.cpp
+++ b/src/backends/reference/RefLayerSupport.cpp
@@ -743,12 +743,30 @@ bool RefLayerSupport::IsL2NormalizationSupported(const TensorInfo& input,
const L2NormalizationDescriptor& descriptor,
Optional<std::string&> reasonIfUnsupported) const
{
- ignore_unused(output);
ignore_unused(descriptor);
- return IsSupportedForDataTypeRef(reasonIfUnsupported,
- input.GetDataType(),
- &TrueFunc<>,
- &FalseFuncU8<>);
+ // Define supported types
+ std::array<DataType, 2> supportedTypes =
+ {
+ DataType::Float32,
+ DataType::QuantisedSymm16
+ };
+
+ bool supported = true;
+
+ supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
+ "Reference L2normalization: input type not supported.");
+
+ supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
+ "Reference L2normalization: output type not supported.");
+
+ supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
+ "Reference L2normalization: input and output types mismatched.");
+
+ supported &= CheckSupportRule(ShapesAreSameTotalSize(input, output), reasonIfUnsupported,
+ "Reference L2normalization: input and output shapes have different "
+ "num total elements.");
+
+ return supported;
}
bool RefLayerSupport::IsLstmSupported(const TensorInfo& input,
diff --git a/src/backends/reference/RefWorkloadFactory.cpp b/src/backends/reference/RefWorkloadFactory.cpp
index cb26f2642b..72762a48e6 100644
--- a/src/backends/reference/RefWorkloadFactory.cpp
+++ b/src/backends/reference/RefWorkloadFactory.cpp
@@ -27,15 +27,16 @@ std::unique_ptr<IWorkload> RefWorkloadFactory::MakeWorkload(const QueueDescripto
info);
}
-bool IsFloat16(const WorkloadInfo& info)
+template <DataType ArmnnType>
+bool IsDataType(const WorkloadInfo& info)
{
- auto checkFloat16 = [](const TensorInfo& tensorInfo) {return tensorInfo.GetDataType() == DataType::Float16;};
- auto it = std::find_if(std::begin(info.m_InputTensorInfos), std::end(info.m_InputTensorInfos), checkFloat16);
+ auto checkType = [](const TensorInfo& tensorInfo) {return tensorInfo.GetDataType() == ArmnnType;};
+ auto it = std::find_if(std::begin(info.m_InputTensorInfos), std::end(info.m_InputTensorInfos), checkType);
if (it != std::end(info.m_InputTensorInfos))
{
return true;
}
- it = std::find_if(std::begin(info.m_OutputTensorInfos), std::end(info.m_OutputTensorInfos), checkFloat16);
+ it = std::find_if(std::begin(info.m_OutputTensorInfos), std::end(info.m_OutputTensorInfos), checkType);
if (it != std::end(info.m_OutputTensorInfos))
{
return true;
@@ -43,20 +44,14 @@ bool IsFloat16(const WorkloadInfo& info)
return false;
}
+bool IsFloat16(const WorkloadInfo& info)
+{
+ return IsDataType<DataType::Float16>(info);
+}
+
bool IsUint8(const WorkloadInfo& info)
{
- auto checkUint8 = [](const TensorInfo& tensorInfo) {return tensorInfo.GetDataType() == DataType::QuantisedAsymm8;};
- auto it = std::find_if(std::begin(info.m_InputTensorInfos), std::end(info.m_InputTensorInfos), checkUint8);
- if (it != std::end(info.m_InputTensorInfos))
- {
- return true;
- }
- it = std::find_if(std::begin(info.m_OutputTensorInfos), std::end(info.m_OutputTensorInfos), checkUint8);
- if (it != std::end(info.m_OutputTensorInfos))
- {
- return true;
- }
- return false;
+ return IsDataType<DataType::QuantisedAsymm8>(info);
}
RefWorkloadFactory::RefWorkloadFactory()
@@ -260,7 +255,11 @@ std::unique_ptr<IWorkload> RefWorkloadFactory::CreateFakeQuantization(
std::unique_ptr<IWorkload> RefWorkloadFactory::CreateL2Normalization(const L2NormalizationQueueDescriptor& descriptor,
const WorkloadInfo& info) const
{
- return MakeWorkload<RefL2NormalizationFloat32Workload, NullWorkload>(descriptor, info);
+ if (IsFloat16(info) || IsUint8(info))
+ {
+ return MakeWorkload<NullWorkload, NullWorkload>(descriptor, info);
+ }
+ return std::make_unique<RefL2NormalizationWorkload>(descriptor, info);
}
std::unique_ptr<armnn::IWorkload> RefWorkloadFactory::CreateConcat(const ConcatQueueDescriptor& descriptor,
diff --git a/src/backends/reference/backend.mk b/src/backends/reference/backend.mk
index 0d2b65d433..189f692033 100644
--- a/src/backends/reference/backend.mk
+++ b/src/backends/reference/backend.mk
@@ -43,7 +43,7 @@ BACKEND_SOURCES := \
workloads/RefFloorWorkload.cpp \
workloads/RefFullyConnectedWorkload.cpp \
workloads/RefGatherWorkload.cpp \
- workloads/RefL2NormalizationFloat32Workload.cpp \
+ workloads/RefL2NormalizationWorkload.cpp \
workloads/RefLstmWorkload.cpp \
workloads/RefMeanFloat32Workload.cpp \
workloads/RefMeanUint8Workload.cpp \
diff --git a/src/backends/reference/test/RefCreateWorkloadTests.cpp b/src/backends/reference/test/RefCreateWorkloadTests.cpp
index dbcf20169c..3de47d20e4 100644
--- a/src/backends/reference/test/RefCreateWorkloadTests.cpp
+++ b/src/backends/reference/test/RefCreateWorkloadTests.cpp
@@ -712,12 +712,22 @@ static void RefCreateL2NormalizationTest(DataLayout dataLayout)
BOOST_AUTO_TEST_CASE(CreateL2NormalizationFloat32)
{
- RefCreateL2NormalizationTest<RefL2NormalizationFloat32Workload, armnn::DataType::Float32>(DataLayout::NCHW);
+ RefCreateL2NormalizationTest<RefL2NormalizationWorkload, armnn::DataType::Float32>(DataLayout::NCHW);
}
BOOST_AUTO_TEST_CASE(CreateL2NormalizationFloat32Nhwc)
{
- RefCreateL2NormalizationTest<RefL2NormalizationFloat32Workload, armnn::DataType::Float32>(DataLayout::NHWC);
+ RefCreateL2NormalizationTest<RefL2NormalizationWorkload, armnn::DataType::Float32>(DataLayout::NHWC);
+}
+
+BOOST_AUTO_TEST_CASE(CreateL2NormalizationInt16)
+{
+ RefCreateL2NormalizationTest<RefL2NormalizationWorkload, armnn::DataType::QuantisedSymm16>(DataLayout::NCHW);
+}
+
+BOOST_AUTO_TEST_CASE(CreateL2NormalizationInt16Nhwc)
+{
+ RefCreateL2NormalizationTest<RefL2NormalizationWorkload, armnn::DataType::QuantisedSymm16>(DataLayout::NHWC);
}
template <typename ReshapeWorkloadType, armnn::DataType DataType>
diff --git a/src/backends/reference/test/RefLayerTests.cpp b/src/backends/reference/test/RefLayerTests.cpp
index 8ebb725a6f..30520cbf2e 100644
--- a/src/backends/reference/test/RefLayerTests.cpp
+++ b/src/backends/reference/test/RefLayerTests.cpp
@@ -472,11 +472,19 @@ ARMNN_AUTO_TEST_CASE(L2Normalization1d, L2Normalization1dTest, armnn::DataLayout
ARMNN_AUTO_TEST_CASE(L2Normalization2d, L2Normalization2dTest, armnn::DataLayout::NCHW)
ARMNN_AUTO_TEST_CASE(L2Normalization3d, L2Normalization3dTest, armnn::DataLayout::NCHW)
ARMNN_AUTO_TEST_CASE(L2Normalization4d, L2Normalization4dTest, armnn::DataLayout::NCHW)
+ARMNN_AUTO_TEST_CASE(L2Normalization1dInt16, L2Normalization1dInt16Test, armnn::DataLayout::NCHW)
+ARMNN_AUTO_TEST_CASE(L2Normalization2dInt16, L2Normalization2dInt16Test, armnn::DataLayout::NCHW)
+ARMNN_AUTO_TEST_CASE(L2Normalization3dInt16, L2Normalization3dInt16Test, armnn::DataLayout::NCHW)
+ARMNN_AUTO_TEST_CASE(L2Normalization4dInt16, L2Normalization4dInt16Test, armnn::DataLayout::NCHW)
ARMNN_AUTO_TEST_CASE(L2Normalization1dNhwc, L2Normalization1dTest, armnn::DataLayout::NHWC)
ARMNN_AUTO_TEST_CASE(L2Normalization2dNhwc, L2Normalization2dTest, armnn::DataLayout::NHWC)
ARMNN_AUTO_TEST_CASE(L2Normalization3dNhwc, L2Normalization3dTest, armnn::DataLayout::NHWC)
ARMNN_AUTO_TEST_CASE(L2Normalization4dNhwc, L2Normalization4dTest, armnn::DataLayout::NHWC)
+ARMNN_AUTO_TEST_CASE(L2Normalization1dInt16Nhwc, L2Normalization1dInt16Test, armnn::DataLayout::NHWC)
+ARMNN_AUTO_TEST_CASE(L2Normalization2dInt16Nhwc, L2Normalization2dInt16Test, armnn::DataLayout::NHWC)
+ARMNN_AUTO_TEST_CASE(L2Normalization3dInt16Nhwc, L2Normalization3dInt16Test, armnn::DataLayout::NHWC)
+ARMNN_AUTO_TEST_CASE(L2Normalization4dInt16Nhwc, L2Normalization4dInt16Test, armnn::DataLayout::NHWC)
// Pad
ARMNN_AUTO_TEST_CASE(PadFloat322d, PadFloat322dTest)
diff --git a/src/backends/reference/workloads/CMakeLists.txt b/src/backends/reference/workloads/CMakeLists.txt
index 4d11447280..41a553482d 100644
--- a/src/backends/reference/workloads/CMakeLists.txt
+++ b/src/backends/reference/workloads/CMakeLists.txt
@@ -70,8 +70,8 @@ list(APPEND armnnRefBackendWorkloads_sources
RefFullyConnectedWorkload.hpp
RefGatherWorkload.cpp
RefGatherWorkload.hpp
- RefL2NormalizationFloat32Workload.cpp
- RefL2NormalizationFloat32Workload.hpp
+ RefL2NormalizationWorkload.cpp
+ RefL2NormalizationWorkload.hpp
RefLstmWorkload.cpp
RefLstmWorkload.hpp
RefConcatWorkload.cpp
diff --git a/src/backends/reference/workloads/RefL2NormalizationFloat32Workload.cpp b/src/backends/reference/workloads/RefL2NormalizationFloat32Workload.cpp
deleted file mode 100644
index bc82739f6e..0000000000
--- a/src/backends/reference/workloads/RefL2NormalizationFloat32Workload.cpp
+++ /dev/null
@@ -1,69 +0,0 @@
-//
-// Copyright © 2017 Arm Ltd. All rights reserved.
-// SPDX-License-Identifier: MIT
-//
-
-#include "RefL2NormalizationFloat32Workload.hpp"
-
-#include "RefWorkloadUtils.hpp"
-#include "TensorBufferArrayView.hpp"
-
-#include "Profiling.hpp"
-
-#include <cmath>
-
-using namespace armnnUtils;
-
-namespace armnn
-{
-
-void RefL2NormalizationFloat32Workload::Execute() const
-{
- ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefL2NormalizationFloat32Workload_Execute");
-
- const TensorInfo& inputInfo = GetTensorInfo(m_Data.m_Inputs[0]);
- const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]);
-
- TensorBufferArrayView<const float> input(inputInfo.GetShape(),
- GetInputTensorDataFloat(0, m_Data),
- m_Data.m_Parameters.m_DataLayout);
- TensorBufferArrayView<float> output(outputInfo.GetShape(),
- GetOutputTensorDataFloat(0, m_Data),
- m_Data.m_Parameters.m_DataLayout);
-
- DataLayoutIndexed dataLayout(m_Data.m_Parameters.m_DataLayout);
-
- const unsigned int batches = inputInfo.GetShape()[0];
- const unsigned int channels = inputInfo.GetShape()[dataLayout.GetChannelsIndex()];
- const unsigned int height = inputInfo.GetShape()[dataLayout.GetHeightIndex()];
- const unsigned int width = inputInfo.GetShape()[dataLayout.GetWidthIndex()];
-
- for (unsigned int n = 0; n < batches; ++n)
- {
- for (unsigned int c = 0; c < channels; ++c)
- {
- for (unsigned int h = 0; h < height; ++h)
- {
- for (unsigned int w = 0; w < width; ++w)
- {
- float reduction = 0.0;
- for (unsigned int d = 0; d < channels; ++d)
- {
- const float value = input.Get(n, d, h, w);
- reduction += value * value;
- }
-
- // Using std::max(reduction, epsilon) below would prevent against division by 0.
- // However, at the time of writing:
- // - This is not supported by the ACL functions used to implement L2Normalization in the CL
- // backend.
- // - The reference semantics for this operator do not include this parameter.
- const float scale = 1.0f / sqrtf(reduction);
- output.Get(n, c, h, w) = input.Get(n, c, h, w) * scale;
- }
- }
- }
- }
-}
-
-} //namespace armnn
diff --git a/src/backends/reference/workloads/RefL2NormalizationWorkload.cpp b/src/backends/reference/workloads/RefL2NormalizationWorkload.cpp
new file mode 100644
index 0000000000..ce5699ef0b
--- /dev/null
+++ b/src/backends/reference/workloads/RefL2NormalizationWorkload.cpp
@@ -0,0 +1,75 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "RefL2NormalizationWorkload.hpp"
+
+#include "RefWorkloadUtils.hpp"
+#include "Decoders.hpp"
+#include "Encoders.hpp"
+#include "DataLayoutIndexed.hpp"
+
+
+#include "Profiling.hpp"
+
+#include <cmath>
+
+using namespace armnnUtils;
+
+namespace armnn
+{
+RefL2NormalizationWorkload::RefL2NormalizationWorkload(
+ const L2NormalizationQueueDescriptor& descriptor,
+ const WorkloadInfo& info)
+ : BaseWorkload<L2NormalizationQueueDescriptor>(descriptor, info) {}
+
+ void RefL2NormalizationWorkload::Execute() const
+ {
+ ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefL2NormalizationWorkload_Execute");
+
+ const TensorInfo& inputInfo = GetTensorInfo(m_Data.m_Inputs[0]);
+ const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]);
+
+ auto inputDecoder = MakeDecoder<float>(inputInfo, m_Data.m_Inputs[0]->Map());
+ auto outputEncoder = MakeEncoder<float>(outputInfo, m_Data.m_Outputs[0]->Map());
+
+ DataLayoutIndexed dataLayout(m_Data.m_Parameters.m_DataLayout);
+
+ const unsigned int batches = inputInfo.GetShape()[0];
+ const unsigned int channels = inputInfo.GetShape()[dataLayout.GetChannelsIndex()];
+ const unsigned int height = inputInfo.GetShape()[dataLayout.GetHeightIndex()];
+ const unsigned int width = inputInfo.GetShape()[dataLayout.GetWidthIndex()];
+
+ for (unsigned int n = 0; n < batches; ++n)
+ {
+ for (unsigned int c = 0; c < channels; ++c)
+ {
+ for (unsigned int h = 0; h < height; ++h)
+ {
+ for (unsigned int w = 0; w < width; ++w)
+ {
+ float reduction = 0.0;
+ for (unsigned int d = 0; d < channels; ++d)
+ {
+ unsigned int inputIndex = dataLayout.GetIndex(inputInfo.GetShape(), n, d, h, w);
+
+ (*inputDecoder)[inputIndex];
+ const float value = inputDecoder->Get();
+ reduction += value * value;
+ }
+
+ unsigned int index = dataLayout.GetIndex(inputInfo.GetShape(), n, c, h, w);
+
+ const float scale = 1.0f / sqrtf(reduction);
+
+ (*inputDecoder)[index];
+ (*outputEncoder)[index];
+ outputEncoder->Set(inputDecoder->Get() * scale);
+ }
+ }
+ }
+ }
+ }
+
+} //namespace armnn
diff --git a/src/backends/reference/workloads/RefL2NormalizationFloat32Workload.hpp b/src/backends/reference/workloads/RefL2NormalizationWorkload.hpp
index 50ece0e905..4beedc9992 100644
--- a/src/backends/reference/workloads/RefL2NormalizationFloat32Workload.hpp
+++ b/src/backends/reference/workloads/RefL2NormalizationWorkload.hpp
@@ -1,4 +1,4 @@
-//
+//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
@@ -11,10 +11,11 @@
namespace armnn
{
-class RefL2NormalizationFloat32Workload : public Float32Workload<L2NormalizationQueueDescriptor>
+class RefL2NormalizationWorkload : public BaseWorkload<L2NormalizationQueueDescriptor>
{
public:
- using Float32Workload<L2NormalizationQueueDescriptor>::Float32Workload;
+ explicit RefL2NormalizationWorkload(const L2NormalizationQueueDescriptor& descriptor,
+ const WorkloadInfo& info);
void Execute() const override;
};
diff --git a/src/backends/reference/workloads/RefWorkloads.hpp b/src/backends/reference/workloads/RefWorkloads.hpp
index 53f7aa2efb..1a2dec402e 100644
--- a/src/backends/reference/workloads/RefWorkloads.hpp
+++ b/src/backends/reference/workloads/RefWorkloads.hpp
@@ -12,7 +12,7 @@
#include "RefConvolution2dWorkload.hpp"
#include "RefSplitterWorkload.hpp"
#include "RefResizeBilinearUint8Workload.hpp"
-#include "RefL2NormalizationFloat32Workload.hpp"
+#include "RefL2NormalizationWorkload.hpp"
#include "RefActivationWorkload.hpp"
#include "RefPooling2dWorkload.hpp"
#include "RefWorkloadUtils.hpp"
generated by cgit v1.2.1 (git 2.23.0) at 2024-06-06 16:36:45 +0000