IVGCVSW-8229 & IVGCVSW-8237 ScatterNd: Front end and reference implementation
(scatter_nd, scatter_nd_add, and scatter_nd_update, scatter_nd_sub, scatter_nd_min, scatter_nd_max, scatter_nd_mul)
* Front end support for ScatterNd added.
* Reference implementation for ScatterNd added.
* Unit tests added.
Signed-off-by: Tianle Cheng <tianle.cheng@arm.com>
Change-Id: I30da9056d9b03ca9b5fb8d09987341128badbcf4
diff --git a/src/backends/backendsCommon/WorkloadData.cpp b/src/backends/backendsCommon/WorkloadData.cpp
index 0ddb429..de985ec 100644
--- a/src/backends/backendsCommon/WorkloadData.cpp
+++ b/src/backends/backendsCommon/WorkloadData.cpp
@@ -4443,4 +4443,46 @@
ValidateDataTypes(outputTensorInfo, supportedTypes, descriptorName);
}
+void ScatterNdQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
+{
+ const std::string& descriptorName{"ScatterQueueDescriptor"};
+
+ ValidateNumInputs(workloadInfo, descriptorName, 3);
+ ValidateNumOutputs(workloadInfo, descriptorName, 1);
+
+ const TensorInfo& inputTensorInfo0 = workloadInfo.m_InputTensorInfos[0];
+ const TensorInfo& inputTensorInfo1 = workloadInfo.m_InputTensorInfos[1];
+ const TensorInfo& inputTensorInfo2 = workloadInfo.m_InputTensorInfos[2];
+ const TensorInfo& outputTensorInfo = workloadInfo.m_OutputTensorInfos[0];
+
+ std::vector<DataType> supportedTypes =
+ {
+ DataType::Float32,
+ DataType::Float16,
+ DataType::QAsymmS8,
+ DataType::QAsymmU8,
+ DataType::QSymmS8,
+ DataType::QSymmS16,
+ DataType::Signed32
+ };
+
+ std::vector<DataType> indicesSupportedTypes =
+ {
+ DataType::Signed32
+ };
+
+ if (m_Parameters.m_InputEnabled)
+ {
+ ValidateDataTypes(inputTensorInfo0, supportedTypes, descriptorName);
+ }
+ else
+ {
+ ValidateDataTypes(inputTensorInfo0, indicesSupportedTypes, descriptorName);
+ }
+
+ ValidateDataTypes(inputTensorInfo1, indicesSupportedTypes, descriptorName);
+ ValidateDataTypes(inputTensorInfo2, supportedTypes, descriptorName);
+ ValidateDataTypes(outputTensorInfo, supportedTypes, descriptorName);
+}
+
} // namespace armnn
\ No newline at end of file
diff --git a/src/backends/backendsCommon/WorkloadFactory.cpp b/src/backends/backendsCommon/WorkloadFactory.cpp
index 1f8d4da..b81e9c8 100644
--- a/src/backends/backendsCommon/WorkloadFactory.cpp
+++ b/src/backends/backendsCommon/WorkloadFactory.cpp
@@ -1168,6 +1168,23 @@
reason);
break;
}
+ case LayerType::ScatterNd:
+ {
+ auto cLayer = PolymorphicDowncast<const ScatterNdLayer*>(&layer);
+ const TensorInfo& input = layer.GetInputSlot(0).GetTensorInfo();
+ const TensorInfo& indices = layer.GetInputSlot(1).GetTensorInfo();
+ const TensorInfo& updates = layer.GetInputSlot(2).GetTensorInfo();
+ const TensorInfo& output = layer.GetOutputSlot(0).GetTensorInfo();
+
+ result = layerSupportObject.IsScatterNdSupported(OverrideDataType(input, dataType),
+ OverrideDataType(indices, dataType),
+ OverrideDataType(updates, dataType),
+ OverrideDataType(output, dataType),
+ cLayer->GetParameters(),
+ reason);
+
+ break;
+ }
case LayerType::Shape:
{
const TensorInfo& input = layer.GetInputSlot(0).GetTensorInfo();
diff --git a/src/backends/backendsCommon/common.mk b/src/backends/backendsCommon/common.mk
index 4876f02..508d532 100644
--- a/src/backends/backendsCommon/common.mk
+++ b/src/backends/backendsCommon/common.mk
@@ -1,5 +1,5 @@
#
-# Copyright © 2017-2023 ARM Ltd and Contributors. All rights reserved.
+# Copyright © 2017-2024 ARM Ltd and Contributors. All rights reserved.
# SPDX-License-Identifier: MIT
#
@@ -94,6 +94,7 @@
test/layerTests/ResizeTestImpl.cpp \
test/layerTests/ReverseV2TestImpl.cpp \
test/layerTests/RsqrtTestImpl.cpp \
+ test/layerTests/ScatterNdTestImpl.cpp \
test/layerTests/SliceTestImpl.cpp \
test/layerTests/SquaredDifferenceTestImpl.cpp \
test/layerTests/QuantizeTestImpl.cpp \
diff --git a/src/backends/backendsCommon/test/CMakeLists.txt b/src/backends/backendsCommon/test/CMakeLists.txt
index 7de150d..66bf6a0 100644
--- a/src/backends/backendsCommon/test/CMakeLists.txt
+++ b/src/backends/backendsCommon/test/CMakeLists.txt
@@ -181,6 +181,8 @@
layerTests/ReverseV2TestImpl.hpp
layerTests/RsqrtTestImpl.cpp
layerTests/RsqrtTestImpl.hpp
+ layerTests/ScatterNdTestImpl.cpp
+ layerTests/ScatterNdTestImpl.hpp
layerTests/SinTestImpl.cpp
layerTests/SinTestImpl.hpp
layerTests/ShapeTestImpl.cpp
diff --git a/src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp b/src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp
index 9f472e9..f9de60d 100644
--- a/src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp
+++ b/src/backends/backendsCommon/test/IsLayerSupportedTestImpl.hpp
@@ -1,5 +1,5 @@
//
-// Copyright © 2017-2023 Arm Ltd and Contributors. All rights reserved.
+// Copyright © 2017-2024 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#pragma once
@@ -752,6 +752,8 @@
DECLARE_LAYER_POLICY_1_PARAM(ReverseV2)
+DECLARE_LAYER_POLICY_2_PARAM(ScatterNd)
+
DECLARE_LAYER_POLICY_1_PARAM(Shape)
DECLARE_LAYER_POLICY_2_PARAM(Slice)
diff --git a/src/backends/backendsCommon/test/LayerTests.hpp b/src/backends/backendsCommon/test/LayerTests.hpp
index 015d25e..3268a07 100644
--- a/src/backends/backendsCommon/test/LayerTests.hpp
+++ b/src/backends/backendsCommon/test/LayerTests.hpp
@@ -1,5 +1,5 @@
//
-// Copyright © 2017, 2023 Arm Ltd and Contributors. All rights reserved.
+// Copyright © 2017, 2023-2024 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
@@ -64,6 +64,7 @@
#include <backendsCommon/test/layerTests/ResizeTestImpl.hpp>
#include <backendsCommon/test/layerTests/ReverseV2TestImpl.hpp>
#include <backendsCommon/test/layerTests/RsqrtTestImpl.hpp>
+#include <backendsCommon/test/layerTests/ScatterNdTestImpl.hpp>
#include <backendsCommon/test/layerTests/ShapeTestImpl.hpp>
#include <backendsCommon/test/layerTests/SinTestImpl.hpp>
#include <backendsCommon/test/layerTests/SliceTestImpl.hpp>
diff --git a/src/backends/backendsCommon/test/layerTests/ScatterNdTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/ScatterNdTestImpl.cpp
new file mode 100644
index 0000000..44203b0
--- /dev/null
+++ b/src/backends/backendsCommon/test/layerTests/ScatterNdTestImpl.cpp
@@ -0,0 +1,1479 @@
+//
+// Copyright © 2024 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "ScatterNdTestImpl.hpp"
+
+#include <armnn/backends/IBackendInternal.hpp>
+#include <armnn/backends/Workload.hpp>
+#include <armnn/backends/WorkloadData.hpp>
+#include <armnn/backends/WorkloadFactory.hpp>
+
+#include <armnnTestUtils/WorkloadTestUtils.hpp>
+#include <armnnUtils/QuantizeHelper.hpp>
+#include <armnnTestUtils/TensorCopyUtils.hpp>
+#include <armnn/Optional.hpp>
+#include <armnn/BackendHelper.hpp>
+
+namespace
+{
+template<armnn::DataType ArmnnType, typename T, typename TInput, std::size_t NumDims>
+LayerTestResult<T, NumDims> ScatterNdTestImpl(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory,
+ const std::vector<TInput>& input,
+ const std::vector<int>& indices,
+ const std::vector<T>& updates,
+ const std::vector<T>& outputExpected,
+ const armnn::TensorInfo& inputInfo,
+ const armnn::TensorInfo& indicesInfo,
+ const armnn::TensorInfo& updatesInfo,
+ const armnn::TensorInfo& outputInfo,
+ const armnn::ScatterNdDescriptor &descriptor)
+{
+ LayerTestResult<T, NumDims> result(outputInfo);
+ std::vector<T> outputActual(outputInfo.GetNumElements());
+
+ std::unique_ptr<armnn::ITensorHandle> inputHandle = tensorHandleFactory.CreateTensorHandle(inputInfo);
+ std::unique_ptr<armnn::ITensorHandle> indicesHandle = tensorHandleFactory.CreateTensorHandle(indicesInfo);
+ std::unique_ptr<armnn::ITensorHandle> updatesHandle = tensorHandleFactory.CreateTensorHandle(updatesInfo);
+ std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputInfo);
+
+ armnn::ScatterNdQueueDescriptor queueDescriptor;
+ queueDescriptor.m_Parameters = descriptor;
+
+ armnn::WorkloadInfo workloadInfo;
+
+ AddInputToWorkload(queueDescriptor, workloadInfo, inputInfo, inputHandle.get());
+ AddInputToWorkload(queueDescriptor, workloadInfo, indicesInfo, indicesHandle.get());
+ AddInputToWorkload(queueDescriptor, workloadInfo, updatesInfo, updatesHandle.get());
+ AddOutputToWorkload(queueDescriptor, workloadInfo, outputInfo, outputHandle.get());
+
+ // Don't execute if ScatterNd is not supported, as an exception will be raised.
+ const armnn::BackendId& backend = workloadFactory.GetBackendId();
+ std::string reasonIfUnsupported;
+ armnn::LayerSupportHandle handle = armnn::GetILayerSupportByBackendId(backend);
+ result.m_Supported = handle.IsScatterNdSupported(inputInfo,
+ indicesInfo,
+ updatesInfo,
+ outputInfo,
+ descriptor,
+ reasonIfUnsupported);
+ if (!result.m_Supported)
+ {
+ return result;
+ }
+
+ auto workload = workloadFactory.CreateWorkload(armnn::LayerType::ScatterNd, queueDescriptor, workloadInfo);
+
+ inputHandle->Allocate();
+ indicesHandle->Allocate();
+ updatesHandle->Allocate();
+ outputHandle->Allocate();
+
+ if (input.data() != nullptr)
+ {
+ CopyDataToITensorHandle(inputHandle.get(), input.data());
+ }
+ if (indices.data() != nullptr)
+ {
+ CopyDataToITensorHandle(indicesHandle.get(), indices.data());
+ }
+ if (updates.data() != nullptr)
+ {
+ CopyDataToITensorHandle(updatesHandle.get(), updates.data());
+ }
+
+ workload->PostAllocationConfigure();
+ ExecuteWorkload(*workload, memoryManager);
+
+ if (outputActual.data() != nullptr)
+ {
+ CopyDataFromITensorHandle(outputActual.data(), outputHandle.get());
+ }
+
+ return LayerTestResult<T, NumDims>(outputActual,
+ outputExpected,
+ outputHandle->GetShape(),
+ outputInfo.GetShape());
+
+}
+}
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 1> ScatterNd1DimUpdateWithInput(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ float qScale = 1.0f;
+ int32_t qOffset = 0;
+
+ armnn::TensorInfo inputInfo({5}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo indicesInfo({3, 1}, armnn::DataType::Signed32, qScale, qOffset);
+ armnn::TensorInfo updatesInfo({3}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo outputInfo({5}, ArmnnType, qScale, qOffset);
+
+ std::vector<T> input = armnnUtils::QuantizedVector<T>({ 0, 0, 0, 0, 0 }, qScale, qOffset);
+
+ std::vector<int> indices = armnnUtils::QuantizedVector<int>({0, 1, 2}, qScale, qOffset);
+
+ std::vector<T> updates = armnnUtils::QuantizedVector<T>({ 1, 2, 3 }, qScale, qOffset);
+
+ std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({ 1, 2, 3, 0, 0 }, qScale, qOffset);
+
+ armnn::ScatterNdDescriptor descriptor(armnn::ScatterNdFunction::Update, true);
+
+ return ScatterNdTestImpl<ArmnnType, T, T, 1>(workloadFactory,
+ memoryManager,
+ tensorHandleFactory,
+ input,
+ indices,
+ updates,
+ outputExpected,
+ inputInfo,
+ indicesInfo,
+ updatesInfo,
+ outputInfo,
+ descriptor);
+}
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 1> ScatterNd1DimUpdateNoInput(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ float qScale = 1.0f;
+ int32_t qOffset = 0;
+
+ armnn::TensorInfo shapeInfo({1}, armnn::DataType::Signed32, qScale, qOffset);
+ armnn::TensorInfo indicesInfo({3, 1}, armnn::DataType::Signed32, qScale, qOffset);
+ armnn::TensorInfo updatesInfo({3}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo outputInfo({5}, ArmnnType, qScale, qOffset);
+
+ std::vector<int> shape = armnnUtils::QuantizedVector<int>({ 5 }, qScale, qOffset);
+
+ std::vector<int> indices = armnnUtils::QuantizedVector<int>({ 0, 1, 2 }, qScale, qOffset);
+
+ std::vector<T> updates = armnnUtils::QuantizedVector<T>({ 1, 2, 3 }, qScale, qOffset);
+
+ std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({ 1, 2, 3, 0, 0 }, qScale, qOffset);
+
+ armnn::ScatterNdDescriptor descriptor(armnn::ScatterNdFunction::Update, false);
+
+ return ScatterNdTestImpl<ArmnnType, T, int, 1>(workloadFactory,
+ memoryManager,
+ tensorHandleFactory,
+ shape,
+ indices,
+ updates,
+ outputExpected,
+ shapeInfo,
+ indicesInfo,
+ updatesInfo,
+ outputInfo,
+ descriptor);
+}
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 2> ScatterNd2DimUpdateWithInput(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ float qScale = 1.0f;
+ int32_t qOffset = 0;
+
+ armnn::TensorInfo inputInfo({3, 3}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo indicesInfo({3, 2}, armnn::DataType::Signed32, qScale, qOffset);
+ armnn::TensorInfo updatesInfo({3}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo outputInfo({3, 3}, ArmnnType, qScale, qOffset);
+
+ std::vector<T> input = armnnUtils::QuantizedVector<T>({ 1, 1, 1,
+ 1, 1, 1,
+ 1, 1, 1 }, qScale, qOffset);
+
+ std::vector<int> indices = armnnUtils::QuantizedVector<int>({ 0, 0,
+ 1, 1,
+ 2, 2 }, qScale, qOffset);
+
+ std::vector<T> updates = armnnUtils::QuantizedVector<T>({ 1, 2, 3 }, qScale, qOffset);
+
+ std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({ 1, 1, 1,
+ 1, 2, 1,
+ 1, 1, 3 }, qScale, qOffset);
+
+ armnn::ScatterNdDescriptor descriptor(armnn::ScatterNdFunction::Update, true);
+
+ return ScatterNdTestImpl<ArmnnType, T, T, 2>(workloadFactory,
+ memoryManager,
+ tensorHandleFactory,
+ input,
+ indices,
+ updates,
+ outputExpected,
+ inputInfo,
+ indicesInfo,
+ updatesInfo,
+ outputInfo,
+ descriptor);
+}
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 2> ScatterNd2DimUpdateNoInput(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ float qScale = 1.0f;
+ int32_t qOffset = 0;
+
+ armnn::TensorInfo shapeInfo({2}, armnn::DataType::Signed32, qScale, qOffset);
+ armnn::TensorInfo indicesInfo({3, 2}, armnn::DataType::Signed32, qScale, qOffset);
+ armnn::TensorInfo updatesInfo({3}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo outputInfo({3, 3}, ArmnnType, qScale, qOffset);
+
+ std::vector<int> shape = armnnUtils::QuantizedVector<int>({ 3, 3 }, qScale, qOffset);
+
+ std::vector<int> indices = armnnUtils::QuantizedVector<int>({ 0, 0,
+ 1, 1,
+ 2, 2 }, qScale, qOffset);
+
+ std::vector<T> updates = armnnUtils::QuantizedVector<T>({ 1, 2, 3 }, qScale, qOffset);
+
+ std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({ 1, 0, 0,
+ 0, 2, 0,
+ 0, 0, 3 }, qScale, qOffset);
+
+ armnn::ScatterNdDescriptor descriptor(armnn::ScatterNdFunction::Update, false);
+
+ return ScatterNdTestImpl<ArmnnType, T, int, 2>(workloadFactory,
+ memoryManager,
+ tensorHandleFactory,
+ shape,
+ indices,
+ updates,
+ outputExpected,
+ shapeInfo,
+ indicesInfo,
+ updatesInfo,
+ outputInfo,
+ descriptor);
+}
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 2> ScatterNd2Dim1Outter1InnerUpdateWithInput(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ float qScale = 1.0f;
+ int32_t qOffset = 0;
+
+ armnn::TensorInfo inputInfo({3, 3}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo indicesInfo({2, 1}, armnn::DataType::Signed32, qScale, qOffset);
+ armnn::TensorInfo updatesInfo({2, 3}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo outputInfo({3, 3}, ArmnnType, qScale, qOffset);
+
+ std::vector<T> input = armnnUtils::QuantizedVector<T>({ 1, 1, 1,
+ 1, 1, 1,
+ 1, 1, 1 }, qScale, qOffset);
+
+ std::vector<int> indices = armnnUtils::QuantizedVector<int>({ 0, 1 }, qScale, qOffset);
+
+ std::vector<T> updates = armnnUtils::QuantizedVector<T>({ 1, 1, 1,
+ 2, 2, 2 }, qScale, qOffset);
+
+ std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({ 1, 1, 1,
+ 2, 2, 2,
+ 1, 1, 1 }, qScale, qOffset);
+
+ armnn::ScatterNdDescriptor descriptor(armnn::ScatterNdFunction::Update, true);
+
+ return ScatterNdTestImpl<ArmnnType, T, T, 2>(workloadFactory,
+ memoryManager,
+ tensorHandleFactory,
+ input,
+ indices,
+ updates,
+ outputExpected,
+ inputInfo,
+ indicesInfo,
+ updatesInfo,
+ outputInfo,
+ descriptor);
+}
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 2> ScatterNd2Dim1Outter1InnerUpdateNoInput(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ float qScale = 1.0f;
+ int32_t qOffset = 0;
+
+ armnn::TensorInfo shapeInfo({2}, armnn::DataType::Signed32, qScale, qOffset);
+ armnn::TensorInfo indicesInfo({2, 1}, armnn::DataType::Signed32, qScale, qOffset);
+ armnn::TensorInfo updatesInfo({2, 3}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo outputInfo({3, 3}, ArmnnType, qScale, qOffset);
+
+ std::vector<int> shape = armnnUtils::QuantizedVector<int>({ 3, 3 }, qScale, qOffset);
+
+ std::vector<int> indices = armnnUtils::QuantizedVector<int>({ 0, 1 }, qScale, qOffset);
+
+ std::vector<T> updates = armnnUtils::QuantizedVector<T>({ 1, 1, 1,
+ 1, 1, 1 }, qScale, qOffset);
+
+ std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({ 1, 1, 1,
+ 1, 1, 1,
+ 0, 0, 0 }, qScale, qOffset);
+
+ armnn::ScatterNdDescriptor descriptor(armnn::ScatterNdFunction::Update, false);
+
+ return ScatterNdTestImpl<ArmnnType, T, int, 2>(workloadFactory,
+ memoryManager,
+ tensorHandleFactory,
+ shape,
+ indices,
+ updates,
+ outputExpected,
+ shapeInfo,
+ indicesInfo,
+ updatesInfo,
+ outputInfo,
+ descriptor);
+}
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 3> ScatterNd3DimUpdateWithInput(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ float qScale = 1.0f;
+ int32_t qOffset = 0;
+
+ armnn::TensorInfo inputInfo({3, 3, 3}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo indicesInfo({3, 3}, armnn::DataType::Signed32, qScale, qOffset);
+ armnn::TensorInfo updatesInfo({3}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo outputInfo({3, 3, 3}, ArmnnType, qScale, qOffset);
+
+ std::vector<T> input = armnnUtils::QuantizedVector<T>({ 0, 0, 0,
+ 0, 0, 0,
+ 0, 0, 0,
+
+ 0, 0, 0,
+ 0, 0, 0,
+ 0, 0, 0,
+
+ 0, 0, 0,
+ 0, 0, 0,
+ 0, 0, 0 }, qScale, qOffset);
+
+ std::vector<int> indices = armnnUtils::QuantizedVector<int>({ 0, 0, 0,
+ 1, 1, 1,
+ 2, 2, 2 }, qScale, qOffset);
+
+ std::vector<T> updates = armnnUtils::QuantizedVector<T>({ 1, 2, 3 }, qScale, qOffset);
+
+ std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({ 1, 0, 0,
+ 0, 0, 0,
+ 0, 0, 0,
+
+ 0, 0, 0,
+ 0, 2, 0,
+ 0, 0, 0,
+
+ 0, 0, 0,
+ 0, 0, 0,
+ 0, 0, 3 }, qScale, qOffset);
+
+ armnn::ScatterNdDescriptor descriptor(armnn::ScatterNdFunction::Update, true);
+
+ return ScatterNdTestImpl<ArmnnType, T, T, 3>(workloadFactory,
+ memoryManager,
+ tensorHandleFactory,
+ input,
+ indices,
+ updates,
+ outputExpected,
+ inputInfo,
+ indicesInfo,
+ updatesInfo,
+ outputInfo,
+ descriptor);
+}
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 3> ScatterNd3DimUpdateNoInput(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ float qScale = 1.0f;
+ int32_t qOffset = 0;
+
+ armnn::TensorInfo shapeInfo({3}, armnn::DataType::Signed32, qScale, qOffset);
+ armnn::TensorInfo indicesInfo({3, 3}, armnn::DataType::Signed32, qScale, qOffset);
+ armnn::TensorInfo updatesInfo({3}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo outputInfo({3, 3, 3}, ArmnnType, qScale, qOffset);
+
+ std::vector<int> shape = armnnUtils::QuantizedVector<int>({ 3, 3, 3 }, qScale, qOffset);
+
+ std::vector<int> indices = armnnUtils::QuantizedVector<int>({ 0, 0, 0,
+ 1, 1, 1,
+ 2, 2, 2 }, qScale, qOffset);
+
+ std::vector<T> updates = armnnUtils::QuantizedVector<T>({ 1, 2, 3 }, qScale, qOffset);
+
+ std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({ 1, 0, 0,
+ 0, 0, 0,
+ 0, 0, 0,
+
+ 0, 0, 0,
+ 0, 2, 0,
+ 0, 0, 0,
+
+ 0, 0, 0,
+ 0, 0, 0,
+ 0, 0, 3 }, qScale, qOffset);
+
+ armnn::ScatterNdDescriptor descriptor(armnn::ScatterNdFunction::Update, false);
+
+ return ScatterNdTestImpl<ArmnnType, T, int, 3>(workloadFactory,
+ memoryManager,
+ tensorHandleFactory,
+ shape,
+ indices,
+ updates,
+ outputExpected,
+ shapeInfo,
+ indicesInfo,
+ updatesInfo,
+ outputInfo,
+ descriptor);
+}
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 3> ScatterNd3Dim1Outter2InnerUpdateWithInput(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ float qScale = 1.0f;
+ int32_t qOffset = 0;
+
+ armnn::TensorInfo inputInfo({3, 3, 3}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo indicesInfo({2, 1}, armnn::DataType::Signed32, qScale, qOffset);
+ armnn::TensorInfo updatesInfo({2, 3, 3}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo outputInfo({3, 3, 3}, ArmnnType, qScale, qOffset);
+
+ std::vector<T> input = armnnUtils::QuantizedVector<T>({ 0, 0, 0,
+ 0, 0, 0,
+ 0, 0, 0,
+
+ 0, 0, 0,
+ 0, 0, 0,
+ 0, 0, 0,
+
+ 0, 0, 0,
+ 0, 0, 0,
+ 0, 0, 0 }, qScale, qOffset);
+
+ std::vector<int> indices = armnnUtils::QuantizedVector<int>({ 0, 1 }, qScale, qOffset);
+
+ std::vector<T> updates = armnnUtils::QuantizedVector<T>({ 1, 1, 1,
+ 1, 1, 1,
+ 1, 1, 1,
+
+ 2, 2, 2,
+ 2, 2, 2,
+ 2, 2, 2 }, qScale, qOffset);
+
+ std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({ 1, 1, 1,
+ 1, 1, 1,
+ 1, 1, 1,
+
+ 2, 2, 2,
+ 2, 2, 2,
+ 2, 2, 2,
+
+ 0, 0, 0,
+ 0, 0, 0,
+ 0, 0, 0 }, qScale, qOffset);
+
+ armnn::ScatterNdDescriptor descriptor(armnn::ScatterNdFunction::Update, true);
+
+ return ScatterNdTestImpl<ArmnnType, T, T, 3>(workloadFactory,
+ memoryManager,
+ tensorHandleFactory,
+ input,
+ indices,
+ updates,
+ outputExpected,
+ inputInfo,
+ indicesInfo,
+ updatesInfo,
+ outputInfo,
+ descriptor);
+}
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 3> ScatterNd3Dim1Outter2InnerUpdateNoInput(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ float qScale = 1.0f;
+ int32_t qOffset = 0;
+
+ armnn::TensorInfo shapeInfo({3}, armnn::DataType::Signed32, qScale, qOffset);
+ armnn::TensorInfo indicesInfo({2, 1}, armnn::DataType::Signed32, qScale, qOffset);
+ armnn::TensorInfo updatesInfo({2, 3, 3}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo outputInfo({3, 3, 3}, ArmnnType, qScale, qOffset);
+
+ std::vector<int> shape = armnnUtils::QuantizedVector<int>({ 3, 3, 3 }, qScale, qOffset);
+
+ std::vector<int> indices = armnnUtils::QuantizedVector<int>({ 0, 1 }, qScale, qOffset);
+
+ std::vector<T> updates = armnnUtils::QuantizedVector<T>({ 1, 1, 1,
+ 1, 1, 1,
+ 1, 1, 1,
+
+ 2, 2, 2,
+ 2, 2, 2,
+ 2, 2, 2 }, qScale, qOffset);
+
+ std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({ 1, 1, 1,
+ 1, 1, 1,
+ 1, 1, 1,
+
+ 2, 2, 2,
+ 2, 2, 2,
+ 2, 2, 2,
+
+ 0, 0, 0,
+ 0, 0, 0,
+ 0, 0, 0 }, qScale, qOffset);
+
+ armnn::ScatterNdDescriptor descriptor(armnn::ScatterNdFunction::Update, false);
+
+ return ScatterNdTestImpl<ArmnnType, T, int, 3>(workloadFactory,
+ memoryManager,
+ tensorHandleFactory,
+ shape,
+ indices,
+ updates,
+ outputExpected,
+ shapeInfo,
+ indicesInfo,
+ updatesInfo,
+ outputInfo,
+ descriptor);
+}
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 3> ScatterNd3Dim2Outter1InnerUpdateWithInput(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ float qScale = 1.0f;
+ int32_t qOffset = 0;
+
+ armnn::TensorInfo inputInfo({3, 3, 3}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo indicesInfo({2, 2}, armnn::DataType::Signed32, qScale, qOffset);
+ armnn::TensorInfo updatesInfo({2, 3}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo outputInfo({3, 3, 3}, ArmnnType, qScale, qOffset);
+
+ std::vector<T> input = armnnUtils::QuantizedVector<T>({ 0, 0, 0,
+ 0, 0, 0,
+ 0, 0, 0,
+
+ 0, 0, 0,
+ 0, 0, 0,
+ 0, 0, 0,
+
+ 0, 0, 0,
+ 0, 0, 0,
+ 0, 0, 0 }, qScale, qOffset);
+
+ std::vector<int> indices = armnnUtils::QuantizedVector<int>({ 0, 0,
+ 1, 1, }, qScale, qOffset);
+
+ std::vector<T> updates = armnnUtils::QuantizedVector<T>({ 1, 1, 1,
+ 2, 2, 2 }, qScale, qOffset);
+
+ std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({ 1, 1, 1,
+ 0, 0, 0,
+ 0, 0, 0,
+
+ 0, 0, 0,
+ 2, 2, 2,
+ 0, 0, 0,
+
+ 0, 0, 0,
+ 0, 0, 0,
+ 0, 0, 0 }, qScale, qOffset);
+
+ armnn::ScatterNdDescriptor descriptor(armnn::ScatterNdFunction::Update, true);
+
+ return ScatterNdTestImpl<ArmnnType, T, T, 3>(workloadFactory,
+ memoryManager,
+ tensorHandleFactory,
+ input,
+ indices,
+ updates,
+ outputExpected,
+ inputInfo,
+ indicesInfo,
+ updatesInfo,
+ outputInfo,
+ descriptor);
+}
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 3> ScatterNd3Dim2Outter1InnerUpdateNoInput(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ float qScale = 1.0f;
+ int32_t qOffset = 0;
+
+ armnn::TensorInfo shapeInfo({3}, armnn::DataType::Signed32, qScale, qOffset);
+ armnn::TensorInfo indicesInfo({2, 2}, armnn::DataType::Signed32, qScale, qOffset);
+ armnn::TensorInfo updatesInfo({2, 3}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo outputInfo({3, 3, 3}, ArmnnType, qScale, qOffset);
+
+ std::vector<int> shape = armnnUtils::QuantizedVector<int>({ 3, 3, 3 }, qScale, qOffset);
+
+ std::vector<int> indices = armnnUtils::QuantizedVector<int>({ 0, 0,
+ 1, 1, }, qScale, qOffset);
+
+ std::vector<T> updates = armnnUtils::QuantizedVector<T>({ 1, 1, 1,
+ 2, 2, 2 }, qScale, qOffset);
+
+ std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({ 1, 1, 1,
+ 0, 0, 0,
+ 0, 0, 0,
+
+ 0, 0, 0,
+ 2, 2, 2,
+ 0, 0, 0,
+
+ 0, 0, 0,
+ 0, 0, 0,
+ 0, 0, 0 }, qScale, qOffset);
+
+ armnn::ScatterNdDescriptor descriptor(armnn::ScatterNdFunction::Update, false);
+
+ return ScatterNdTestImpl<ArmnnType, T, int, 3>(workloadFactory,
+ memoryManager,
+ tensorHandleFactory,
+ shape,
+ indices,
+ updates,
+ outputExpected,
+ shapeInfo,
+ indicesInfo,
+ updatesInfo,
+ outputInfo,
+ descriptor);
+}
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 4> ScatterNd4DimUpdateWithInput(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ float qScale = 1.0f;
+ int32_t qOffset = 0;
+
+ armnn::TensorInfo inputInfo({2, 3, 3, 3}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo indicesInfo({3, 4}, armnn::DataType::Signed32, qScale, qOffset);
+ armnn::TensorInfo updatesInfo({3}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo outputInfo({2, 3, 3, 3}, ArmnnType, qScale, qOffset);
+
+ std::vector<T> input = armnnUtils::QuantizedVector<T>({ 0, 0, 0,
+ 0, 0, 0,
+ 0, 0, 0,
+
+ 0, 0, 0,
+ 0, 0, 0,
+ 0, 0, 0,
+
+ 0, 0, 0,
+ 0, 0, 0,
+ 0, 0, 0,
+
+ 0, 0, 0,
+ 0, 0, 0,
+ 0, 0, 0,
+
+ 0, 0, 0,
+ 0, 0, 0,
+ 0, 0, 0,
+
+ 0, 0, 0,
+ 0, 0, 0,
+ 0, 0, 0 }, qScale, qOffset);
+
+ std::vector<int> indices = armnnUtils::QuantizedVector<int>({ 0, 0, 0, 0,
+ 0, 1, 1, 1,
+ 1, 1, 1, 1 }, qScale, qOffset);
+
+ std::vector<T> updates = armnnUtils::QuantizedVector<T>({ 1, 2, 3 }, qScale, qOffset);
+
+ std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({ 1, 0, 0,
+ 0, 0, 0,
+ 0, 0, 0,
+
+ 0, 0, 0,
+ 0, 2, 0,
+ 0, 0, 0,
+
+ 0, 0, 0,
+ 0, 0, 0,
+ 0, 0, 0,
+
+ 0, 0, 0,
+ 0, 0, 0,
+ 0, 0, 0,
+
+ 0, 0, 0,
+ 0, 3, 0,
+ 0, 0, 0,
+
+ 0, 0, 0,
+ 0, 0, 0,
+ 0, 0, 0 }, qScale, qOffset);
+
+ armnn::ScatterNdDescriptor descriptor(armnn::ScatterNdFunction::Update, true);
+
+ return ScatterNdTestImpl<ArmnnType, T, T, 4>(workloadFactory,
+ memoryManager,
+ tensorHandleFactory,
+ input,
+ indices,
+ updates,
+ outputExpected,
+ inputInfo,
+ indicesInfo,
+ updatesInfo,
+ outputInfo,
+ descriptor);
+}
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 4> ScatterNd4DimUpdateNoInput(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ float qScale = 1.0f;
+ int32_t qOffset = 0;
+
+ armnn::TensorInfo shapeInfo({4}, armnn::DataType::Signed32, qScale, qOffset);
+ armnn::TensorInfo indicesInfo({3, 4}, armnn::DataType::Signed32, qScale, qOffset);
+ armnn::TensorInfo updatesInfo({3}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo outputInfo({2, 3, 3, 3}, ArmnnType, qScale, qOffset);
+
+ std::vector<int> shape = armnnUtils::QuantizedVector<int>({ 2, 3, 3, 3 }, qScale, qOffset);
+
+ std::vector<int> indices = armnnUtils::QuantizedVector<int>({ 0, 0, 0, 0,
+ 0, 1, 1, 1,
+ 1, 1, 1, 1 }, qScale, qOffset);
+
+ std::vector<T> updates = armnnUtils::QuantizedVector<T>({ 1, 2, 3 }, qScale, qOffset);
+
+ std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({ 1, 0, 0,
+ 0, 0, 0,
+ 0, 0, 0,
+
+ 0, 0, 0,
+ 0, 2, 0,
+ 0, 0, 0,
+
+ 0, 0, 0,
+ 0, 0, 0,
+ 0, 0, 0,
+
+ 0, 0, 0,
+ 0, 0, 0,
+ 0, 0, 0,
+
+ 0, 0, 0,
+ 0, 3, 0,
+ 0, 0, 0,
+
+ 0, 0, 0,
+ 0, 0, 0,
+ 0, 0, 0 }, qScale, qOffset);
+
+ armnn::ScatterNdDescriptor descriptor(armnn::ScatterNdFunction::Update, false);
+
+ return ScatterNdTestImpl<ArmnnType, T, int, 4>(workloadFactory,
+ memoryManager,
+ tensorHandleFactory,
+ shape,
+ indices,
+ updates,
+ outputExpected,
+ shapeInfo,
+ indicesInfo,
+ updatesInfo,
+ outputInfo,
+ descriptor);
+}
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 2> ScatterNd2DimAddWithInput(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ float qScale = 1.0f;
+ int32_t qOffset = 0;
+
+ armnn::TensorInfo inputInfo({3, 3}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo indicesInfo({3, 2}, armnn::DataType::Signed32, qScale, qOffset);
+ armnn::TensorInfo updatesInfo({3}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo outputInfo({3, 3}, ArmnnType, qScale, qOffset);
+
+ std::vector<T> input = armnnUtils::QuantizedVector<T>({ 1, 1, 1,
+ 1, 1, 1,
+ 1, 1, 1 }, qScale, qOffset);
+
+ std::vector<int> indices = armnnUtils::QuantizedVector<int>({ 0, 0,
+ 1, 1,
+ 2, 2 }, qScale, qOffset);
+
+ std::vector<T> updates = armnnUtils::QuantizedVector<T>({ 1, 2, 3 }, qScale, qOffset);
+
+ std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({ 2, 1, 1,
+ 1, 3, 1,
+ 1, 1, 4 }, qScale, qOffset);
+
+ armnn::ScatterNdDescriptor descriptor(armnn::ScatterNdFunction::Add, true);
+
+ return ScatterNdTestImpl<ArmnnType, T, T, 2>(workloadFactory,
+ memoryManager,
+ tensorHandleFactory,
+ input,
+ indices,
+ updates,
+ outputExpected,
+ inputInfo,
+ indicesInfo,
+ updatesInfo,
+ outputInfo,
+ descriptor);
+}
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 2> ScatterNd2DimAddNoInput(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ float qScale = 1.0f;
+ int32_t qOffset = 0;
+
+ armnn::TensorInfo shapeInfo({2}, armnn::DataType::Signed32, qScale, qOffset);
+ armnn::TensorInfo indicesInfo({3, 2}, armnn::DataType::Signed32, qScale, qOffset);
+ armnn::TensorInfo updatesInfo({3}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo outputInfo({3, 3}, ArmnnType, qScale, qOffset);
+
+ std::vector<int> shape = armnnUtils::QuantizedVector<int>({ 3, 3 }, qScale, qOffset);
+
+ std::vector<int> indices = armnnUtils::QuantizedVector<int>({ 0, 0,
+ 1, 1,
+ 2, 2 }, qScale, qOffset);
+
+ std::vector<T> updates = armnnUtils::QuantizedVector<T>({ 1, 2, 3 }, qScale, qOffset);
+
+ std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({ 1, 0, 0,
+ 0, 2, 0,
+ 0, 0, 3 }, qScale, qOffset);
+
+ armnn::ScatterNdDescriptor descriptor(armnn::ScatterNdFunction::Add, false);
+
+ return ScatterNdTestImpl<ArmnnType, T, int, 2>(workloadFactory,
+ memoryManager,
+ tensorHandleFactory,
+ shape,
+ indices,
+ updates,
+ outputExpected,
+ shapeInfo,
+ indicesInfo,
+ updatesInfo,
+ outputInfo,
+ descriptor);
+}
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 2> ScatterNd2DimSubWithInput(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ float qScale = 1.0f;
+ int32_t qOffset = 0;
+
+ armnn::TensorInfo inputInfo({3, 3}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo indicesInfo({3, 2}, armnn::DataType::Signed32, qScale, qOffset);
+ armnn::TensorInfo updatesInfo({3}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo outputInfo({3, 3}, ArmnnType, qScale, qOffset);
+
+ std::vector<T> input = armnnUtils::QuantizedVector<T>({ 1, 1, 1,
+ 1, 1, 1,
+ 1, 1, 1 }, qScale, qOffset);
+
+ std::vector<int> indices = armnnUtils::QuantizedVector<int>({ 0, 0,
+ 1, 1,
+ 2, 2 }, qScale, qOffset);
+
+ std::vector<T> updates = armnnUtils::QuantizedVector<T>({ 1, 2, 3 }, qScale, qOffset);
+
+ std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({ 0, 1, 1,
+ 1, -1, 1,
+ 1, 1, -2 }, qScale, qOffset);
+
+ armnn::ScatterNdDescriptor descriptor(armnn::ScatterNdFunction::Sub, true);
+
+ return ScatterNdTestImpl<ArmnnType, T, T, 2>(workloadFactory,
+ memoryManager,
+ tensorHandleFactory,
+ input,
+ indices,
+ updates,
+ outputExpected,
+ inputInfo,
+ indicesInfo,
+ updatesInfo,
+ outputInfo,
+ descriptor);
+}
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 2> ScatterNd2DimSubNoInput(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ float qScale = 1.0f;
+ int32_t qOffset = 0;
+
+ armnn::TensorInfo shapeInfo({2}, armnn::DataType::Signed32, qScale, qOffset);
+ armnn::TensorInfo indicesInfo({3, 2}, armnn::DataType::Signed32, qScale, qOffset);
+ armnn::TensorInfo updatesInfo({3}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo outputInfo({3, 3}, ArmnnType, qScale, qOffset);
+
+ std::vector<int> shape = armnnUtils::QuantizedVector<int>({ 3, 3 }, qScale, qOffset);
+
+ std::vector<int> indices = armnnUtils::QuantizedVector<int>({ 0, 0,
+ 1, 1,
+ 2, 2 }, qScale, qOffset);
+
+ std::vector<T> updates = armnnUtils::QuantizedVector<T>({ 1, 2, 3 }, qScale, qOffset);
+
+ std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({ -1, 0, 0,
+ 0, -2, 0,
+ 0, 0, -3 }, qScale, qOffset);
+
+ armnn::ScatterNdDescriptor descriptor(armnn::ScatterNdFunction::Sub, false);
+
+ return ScatterNdTestImpl<ArmnnType, T, int, 2>(workloadFactory,
+ memoryManager,
+ tensorHandleFactory,
+ shape,
+ indices,
+ updates,
+ outputExpected,
+ shapeInfo,
+ indicesInfo,
+ updatesInfo,
+ outputInfo,
+ descriptor);
+}
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 2> ScatterNd2DimMaxWithInput(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ float qScale = 1.0f;
+ int32_t qOffset = 0;
+
+ armnn::TensorInfo inputInfo({3, 3}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo indicesInfo({3, 2}, armnn::DataType::Signed32, qScale, qOffset);
+ armnn::TensorInfo updatesInfo({3}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo outputInfo({3, 3}, ArmnnType, qScale, qOffset);
+
+ std::vector<T> input = armnnUtils::QuantizedVector<T>({ 1, 1, 1,
+ 1, 1, 1,
+ 1, 1, 1 }, qScale, qOffset);
+
+ std::vector<int> indices = armnnUtils::QuantizedVector<int>({ 0, 0,
+ 1, 1,
+ 2, 2 }, qScale, qOffset);
+
+ std::vector<T> updates = armnnUtils::QuantizedVector<T>({ 0, 1, 2 }, qScale, qOffset);
+
+ std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({ 1, 1, 1,
+ 1, 1, 1,
+ 1, 1, 2 }, qScale, qOffset);
+
+ armnn::ScatterNdDescriptor descriptor(armnn::ScatterNdFunction::Max, true);
+
+ return ScatterNdTestImpl<ArmnnType, T, T, 2>(workloadFactory,
+ memoryManager,
+ tensorHandleFactory,
+ input,
+ indices,
+ updates,
+ outputExpected,
+ inputInfo,
+ indicesInfo,
+ updatesInfo,
+ outputInfo,
+ descriptor);
+}
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 2> ScatterNd2DimMaxNoInput(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ float qScale = 1.0f;
+ int32_t qOffset = 0;
+
+ armnn::TensorInfo shapeInfo({2}, armnn::DataType::Signed32, qScale, qOffset);
+ armnn::TensorInfo indicesInfo({3, 2}, armnn::DataType::Signed32, qScale, qOffset);
+ armnn::TensorInfo updatesInfo({3}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo outputInfo({3, 3}, ArmnnType, qScale, qOffset);
+
+ std::vector<int> shape = armnnUtils::QuantizedVector<int>({ 3, 3 }, qScale, qOffset);
+
+ std::vector<int> indices = armnnUtils::QuantizedVector<int>({ 0, 0,
+ 1, 1,
+ 2, 2 }, qScale, qOffset);
+
+ std::vector<T> updates = armnnUtils::QuantizedVector<T>({ -1, 0, 1 }, qScale, qOffset);
+
+ std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({ 0, 0, 0,
+ 0, 0, 0,
+ 0, 0, 1 }, qScale, qOffset);
+
+ armnn::ScatterNdDescriptor descriptor(armnn::ScatterNdFunction::Max, false);
+
+ return ScatterNdTestImpl<ArmnnType, T, int, 2>(workloadFactory,
+ memoryManager,
+ tensorHandleFactory,
+ shape,
+ indices,
+ updates,
+ outputExpected,
+ shapeInfo,
+ indicesInfo,
+ updatesInfo,
+ outputInfo,
+ descriptor);
+}
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 2> ScatterNd2DimMinWithInput(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ float qScale = 1.0f;
+ int32_t qOffset = 0;
+
+ armnn::TensorInfo inputInfo({3, 3}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo indicesInfo({3, 2}, armnn::DataType::Signed32, qScale, qOffset);
+ armnn::TensorInfo updatesInfo({3}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo outputInfo({3, 3}, ArmnnType, qScale, qOffset);
+
+ std::vector<T> input = armnnUtils::QuantizedVector<T>({ 1, 1, 1,
+ 1, 1, 1,
+ 1, 1, 1 }, qScale, qOffset);
+
+ std::vector<int> indices = armnnUtils::QuantizedVector<int>({ 0, 0,
+ 1, 1,
+ 2, 2 }, qScale, qOffset);
+
+ std::vector<T> updates = armnnUtils::QuantizedVector<T>({ 0, 1, 2 }, qScale, qOffset);
+
+ std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({ 0, 1, 1,
+ 1, 1, 1,
+ 1, 1, 1 }, qScale, qOffset);
+
+ armnn::ScatterNdDescriptor descriptor(armnn::ScatterNdFunction::Min, true);
+
+ return ScatterNdTestImpl<ArmnnType, T, T, 2>(workloadFactory,
+ memoryManager,
+ tensorHandleFactory,
+ input,
+ indices,
+ updates,
+ outputExpected,
+ inputInfo,
+ indicesInfo,
+ updatesInfo,
+ outputInfo,
+ descriptor);
+}
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 2> ScatterNd2DimMinNoInput(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ float qScale = 1.0f;
+ int32_t qOffset = 0;
+
+ armnn::TensorInfo shapeInfo({2}, armnn::DataType::Signed32, qScale, qOffset);
+ armnn::TensorInfo indicesInfo({3, 2}, armnn::DataType::Signed32, qScale, qOffset);
+ armnn::TensorInfo updatesInfo({3}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo outputInfo({3, 3}, ArmnnType, qScale, qOffset);
+
+ std::vector<int> shape = armnnUtils::QuantizedVector<int>({ 3, 3 }, qScale, qOffset);
+
+ std::vector<int> indices = armnnUtils::QuantizedVector<int>({ 0, 0,
+ 1, 1,
+ 2, 2 }, qScale, qOffset);
+
+ std::vector<T> updates = armnnUtils::QuantizedVector<T>({ -1, 0, 1 }, qScale, qOffset);
+
+ std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({ -1, 0, 0,
+ 0, 0, 0,
+ 0, 0, 0 }, qScale, qOffset);
+
+ armnn::ScatterNdDescriptor descriptor(armnn::ScatterNdFunction::Min, false);
+
+ return ScatterNdTestImpl<ArmnnType, T, int, 2>(workloadFactory,
+ memoryManager,
+ tensorHandleFactory,
+ shape,
+ indices,
+ updates,
+ outputExpected,
+ shapeInfo,
+ indicesInfo,
+ updatesInfo,
+ outputInfo,
+ descriptor);
+}
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 2> ScatterNd2DimMulWithInput(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ float qScale = 1.0f;
+ int32_t qOffset = 0;
+
+ armnn::TensorInfo inputInfo({3, 3}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo indicesInfo({3, 2}, armnn::DataType::Signed32, qScale, qOffset);
+ armnn::TensorInfo updatesInfo({3}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo outputInfo({3, 3}, ArmnnType, qScale, qOffset);
+
+ std::vector<T> input = armnnUtils::QuantizedVector<T>({ 1, 1, 1,
+ 1, 1, 1,
+ 1, 1, 1 }, qScale, qOffset);
+
+ std::vector<int> indices = armnnUtils::QuantizedVector<int>({ 0, 0,
+ 1, 1,
+ 2, 2 }, qScale, qOffset);
+
+ std::vector<T> updates = armnnUtils::QuantizedVector<T>({ 1, 2, 3 }, qScale, qOffset);
+
+ std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({ 1, 1, 1,
+ 1, 2, 1,
+ 1, 1, 3 }, qScale, qOffset);
+
+ armnn::ScatterNdDescriptor descriptor(armnn::ScatterNdFunction::Mul, true);
+
+ return ScatterNdTestImpl<ArmnnType, T, T, 2>(workloadFactory,
+ memoryManager,
+ tensorHandleFactory,
+ input,
+ indices,
+ updates,
+ outputExpected,
+ inputInfo,
+ indicesInfo,
+ updatesInfo,
+ outputInfo,
+ descriptor);
+}
+
+template<armnn::DataType ArmnnType, typename T>
+LayerTestResult<T, 2> ScatterNd2DimMulNoInput(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory)
+{
+ float qScale = 1.0f;
+ int32_t qOffset = 0;
+
+ armnn::TensorInfo shapeInfo({2}, armnn::DataType::Signed32, qScale, qOffset);
+ armnn::TensorInfo indicesInfo({3, 2}, armnn::DataType::Signed32, qScale, qOffset);
+ armnn::TensorInfo updatesInfo({3}, ArmnnType, qScale, qOffset);
+ armnn::TensorInfo outputInfo({3, 3}, ArmnnType, qScale, qOffset);
+
+ std::vector<int> shape = armnnUtils::QuantizedVector<int>({ 3, 3 }, qScale, qOffset);
+
+ std::vector<int> indices = armnnUtils::QuantizedVector<int>({ 0, 0,
+ 1, 1,
+ 2, 2 }, qScale, qOffset);
+
+ std::vector<T> updates = armnnUtils::QuantizedVector<T>({ 1, 2, 3 }, qScale, qOffset);
+
+ std::vector<T> outputExpected = armnnUtils::QuantizedVector<T>({ 0, 0, 0,
+ 0, 0, 0,
+ 0, 0, 0 }, qScale, qOffset);
+
+ armnn::ScatterNdDescriptor descriptor(armnn::ScatterNdFunction::Mul, false);
+
+ return ScatterNdTestImpl<ArmnnType, T, int, 2>(workloadFactory,
+ memoryManager,
+ tensorHandleFactory,
+ shape,
+ indices,
+ updates,
+ outputExpected,
+ shapeInfo,
+ indicesInfo,
+ updatesInfo,
+ outputInfo,
+ descriptor);
+}
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 1>
+ScatterNd1DimUpdateWithInput<armnn::DataType::Float32>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 1>
+ScatterNd1DimUpdateNoInput<armnn::DataType::Float32>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2>
+ScatterNd2DimUpdateWithInput<armnn::DataType::Float32>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2>
+ScatterNd2DimUpdateNoInput<armnn::DataType::Float32>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2>
+ScatterNd2Dim1Outter1InnerUpdateWithInput<armnn::DataType::Float32>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2>
+ScatterNd2Dim1Outter1InnerUpdateNoInput<armnn::DataType::Float32>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 3>
+ScatterNd3DimUpdateWithInput<armnn::DataType::Float32>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 3>
+ScatterNd3DimUpdateNoInput<armnn::DataType::Float32>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 3>
+ScatterNd3Dim1Outter2InnerUpdateWithInput<armnn::DataType::Float32>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 3>
+ScatterNd3Dim1Outter2InnerUpdateNoInput<armnn::DataType::Float32>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 3>
+ScatterNd3Dim2Outter1InnerUpdateWithInput<armnn::DataType::Float32>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 3>
+ScatterNd3Dim2Outter1InnerUpdateNoInput<armnn::DataType::Float32>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4>
+ScatterNd4DimUpdateWithInput<armnn::DataType::Float32>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4>
+ScatterNd4DimUpdateNoInput<armnn::DataType::Float32>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2>
+ScatterNd2DimAddWithInput<armnn::DataType::Float32>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2>
+ScatterNd2DimAddNoInput<armnn::DataType::Float32>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2>
+ScatterNd2DimSubWithInput<armnn::DataType::Float32>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2>
+ScatterNd2DimSubNoInput<armnn::DataType::Float32>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2>
+ScatterNd2DimMaxWithInput<armnn::DataType::Float32>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2>
+ScatterNd2DimMaxNoInput<armnn::DataType::Float32>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2>
+ScatterNd2DimMinWithInput<armnn::DataType::Float32>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2>
+ScatterNd2DimMinNoInput<armnn::DataType::Float32>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2>
+ScatterNd2DimMulWithInput<armnn::DataType::Float32>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 2>
+ScatterNd2DimMulNoInput<armnn::DataType::Float32>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 3>
+ScatterNd3DimUpdateWithInput<armnn::DataType::Float16>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 3>
+ScatterNd3DimUpdateNoInput<armnn::DataType::Float16>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 3>
+ScatterNd3DimUpdateWithInput<armnn::DataType::QAsymmS8>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 3>
+ScatterNd3DimUpdateNoInput<armnn::DataType::QAsymmS8>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 3>
+ScatterNd3DimUpdateWithInput<armnn::DataType::QAsymmU8>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 3>
+ScatterNd3DimUpdateNoInput<armnn::DataType::QAsymmU8>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS8>, 3>
+ScatterNd3DimUpdateWithInput<armnn::DataType::QSymmS8>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS8>, 3>
+ScatterNd3DimUpdateNoInput<armnn::DataType::QSymmS8>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 3>
+ScatterNd3DimUpdateWithInput<armnn::DataType::QSymmS16>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 3>
+ScatterNd3DimUpdateNoInput<armnn::DataType::QSymmS16>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Signed32>, 3>
+ScatterNd3DimUpdateWithInput<armnn::DataType::Signed32>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template LayerTestResult<armnn::ResolveType<armnn::DataType::Signed32>, 3>
+ScatterNd3DimUpdateNoInput<armnn::DataType::Signed32>(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
\ No newline at end of file
diff --git a/src/backends/backendsCommon/test/layerTests/ScatterNdTestImpl.hpp b/src/backends/backendsCommon/test/layerTests/ScatterNdTestImpl.hpp
new file mode 100644
index 0000000..5350904
--- /dev/null
+++ b/src/backends/backendsCommon/test/layerTests/ScatterNdTestImpl.hpp
@@ -0,0 +1,156 @@
+//
+// Copyright © 2024 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>
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 1> ScatterNd1DimUpdateWithInput(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 1> ScatterNd1DimUpdateNoInput(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 2> ScatterNd2DimUpdateWithInput(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 2> ScatterNd2DimUpdateNoInput(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 2> ScatterNd2Dim1Outter1InnerUpdateWithInput(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 2> ScatterNd2Dim1Outter1InnerUpdateNoInput(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 3> ScatterNd3DimUpdateWithInput(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 3> ScatterNd3DimUpdateNoInput(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 3> ScatterNd3Dim1Outter2InnerUpdateWithInput(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 3> ScatterNd3Dim1Outter2InnerUpdateNoInput(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 3> ScatterNd3Dim2Outter1InnerUpdateWithInput(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 3> ScatterNd3Dim2Outter1InnerUpdateNoInput(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 4> ScatterNd4DimUpdateWithInput(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 4> ScatterNd4DimUpdateNoInput(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 2> ScatterNd2DimAddWithInput(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 2> ScatterNd2DimAddNoInput(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 2> ScatterNd2DimSubWithInput(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 2> ScatterNd2DimSubNoInput(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 2> ScatterNd2DimMaxWithInput(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 2> ScatterNd2DimMaxNoInput(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 2> ScatterNd2DimMinWithInput(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 2> ScatterNd2DimMinNoInput(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 2> ScatterNd2DimMulWithInput(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 2> ScatterNd2DimMulNoInput(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::ITensorHandleFactory& tensorHandleFactory);
\ No newline at end of file
diff --git a/src/backends/reference/RefLayerSupport.cpp b/src/backends/reference/RefLayerSupport.cpp
index f97d03a..654aeb5 100644
--- a/src/backends/reference/RefLayerSupport.cpp
+++ b/src/backends/reference/RefLayerSupport.cpp
@@ -356,6 +356,13 @@
infos[1],
*(PolymorphicDowncast<const ReduceDescriptor*>(&descriptor)),
reasonIfUnsupported);
+ case LayerType::ScatterNd:
+ return IsScatterNdSupported(infos[0],
+ infos[1],
+ infos[2],
+ infos[3],
+ *(PolymorphicDowncast<const ScatterNdDescriptor*>(&descriptor)),
+ reasonIfUnsupported);
case LayerType::Slice:
return IsSliceSupported(infos[0],
infos[1],
@@ -2442,6 +2449,64 @@
return supported;
}
+bool RefLayerSupport::IsScatterNdSupported(const TensorInfo& input,
+ const TensorInfo& indices,
+ const TensorInfo& updates,
+ const TensorInfo& output,
+ const ScatterNdDescriptor& descriptor,
+ Optional<std::string&> reasonIfUnsupported) const
+{
+ IgnoreUnused(descriptor);
+
+ bool supported = true;
+
+ std::array<DataType, 7> supportedTypes
+ {
+ DataType::Float32,
+ DataType::Float16,
+ DataType::QAsymmS8,
+ DataType::QAsymmU8,
+ DataType::QSymmS8,
+ DataType::QSymmS16,
+ DataType::Signed32
+ };
+
+ std::array<DataType, 1> indicesSupportedTypes =
+ {
+ DataType::Signed32
+ };
+
+ supported &= CheckSupportRule(TypeAnyOf(indices, indicesSupportedTypes), reasonIfUnsupported,
+ "ScatterNd: indices type not supported.");
+
+ supported &= CheckSupportRule(TypeAnyOf(updates, supportedTypes), reasonIfUnsupported,
+ "ScatterNd: updates type not supported.");
+
+ supported &= CheckSupportRule(TypeAnyOf(output, supportedTypes), reasonIfUnsupported,
+ "ScatterNd: output type not supported");
+
+ supported &= CheckSupportRule(TypesAreEqual(updates, output), reasonIfUnsupported,
+ "ScatterNd: input and updates types are mismatched");
+
+ if (descriptor.m_InputEnabled)
+ {
+ // If the input slot is enabled, we have the input tensor in this slot
+ supported &= CheckSupportRule(TypeAnyOf(input, supportedTypes), reasonIfUnsupported,
+ "ScatterNd: input type not supported.");
+
+ supported &= CheckSupportRule(TypesAreEqual(input, output), reasonIfUnsupported,
+ "ScatterNd: input and output types are mismatched");
+ }
+ else
+ {
+ // If the input slot is not enabled, we have the shape tensor in this slot
+ supported &= CheckSupportRule(TypeAnyOf(input, indicesSupportedTypes), reasonIfUnsupported,
+ "ScatterNd: shape type not supported.");
+ }
+
+ return supported;
+}
+
bool RefLayerSupport::IsShapeSupported(const TensorInfo& input,
const TensorInfo& output,
Optional<std::string&> reasonIfUnsupported) const
diff --git a/src/backends/reference/RefLayerSupport.hpp b/src/backends/reference/RefLayerSupport.hpp
index 9e71753..1b0f4a2 100644
--- a/src/backends/reference/RefLayerSupport.hpp
+++ b/src/backends/reference/RefLayerSupport.hpp
@@ -1,5 +1,5 @@
//
-// Copyright © 2017-2023 Arm Ltd and Contributors. All rights reserved.
+// Copyright © 2017-2024 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#pragma once
@@ -309,6 +309,13 @@
const TensorInfo& output,
Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;
+ bool IsScatterNdSupported(const TensorInfo& input,
+ const TensorInfo& indices,
+ const TensorInfo& updates,
+ const TensorInfo& output,
+ const ScatterNdDescriptor& descriptor,
+ Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;
+
bool IsShapeSupported(const TensorInfo& input,
const TensorInfo& output,
Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const;
diff --git a/src/backends/reference/RefWorkloadFactory.cpp b/src/backends/reference/RefWorkloadFactory.cpp
index ad6ec9a..df458c1 100644
--- a/src/backends/reference/RefWorkloadFactory.cpp
+++ b/src/backends/reference/RefWorkloadFactory.cpp
@@ -1,5 +1,5 @@
//
-// Copyright © 2017-2023 Arm Ltd and Contributors. All rights reserved.
+// Copyright © 2017-2024 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include <Layer.hpp>
@@ -567,6 +567,11 @@
auto reverseV2QueueDescriptor = PolymorphicDowncast<const ReverseV2QueueDescriptor*>(&descriptor);
return std::make_unique<RefReverseV2Workload>(*reverseV2QueueDescriptor, info);
}
+ case LayerType::ScatterNd:
+ {
+ auto scatterQueueDescriptor = PolymorphicDowncast<const ScatterNdQueueDescriptor*>(&descriptor);
+ return std::make_unique<RefScatterNdWorkload>(*scatterQueueDescriptor, info);
+ }
case LayerType::Shape:
{
auto shapeQueueDescriptor = PolymorphicDowncast<const ShapeQueueDescriptor*>(&descriptor);
diff --git a/src/backends/reference/backend.mk b/src/backends/reference/backend.mk
index 27ca8f6..7522556 100644
--- a/src/backends/reference/backend.mk
+++ b/src/backends/reference/backend.mk
@@ -1,5 +1,5 @@
#
-# Copyright © 2017-2023 ARM Ltd and Contributors. All rights reserved.
+# Copyright © 2017-2024 ARM Ltd and Contributors. All rights reserved.
# SPDX-License-Identifier: MIT
#
@@ -96,6 +96,7 @@
workloads/RefReshapeWorkload.cpp \
workloads/RefResizeWorkload.cpp \
workloads/RefReverseV2Workload.cpp \
+ workloads/RefScatterNdWorkload.cpp \
workloads/RefSliceWorkload.cpp \
workloads/RefSoftmaxWorkload.cpp \
workloads/RefSpaceToBatchNdWorkload.cpp \
@@ -109,6 +110,7 @@
workloads/RefUnidirectionalSequenceLstmWorkload.cpp \
workloads/Resize.cpp \
workloads/ReverseV2Impl.cpp \
+ workloads/ScatterNd.cpp \
workloads/Slice.cpp \
workloads/SpaceToBatchNd.cpp \
workloads/SpaceToDepth.cpp \
diff --git a/src/backends/reference/test/RefLayerTests.cpp b/src/backends/reference/test/RefLayerTests.cpp
index cfe8559..0783381 100644
--- a/src/backends/reference/test/RefLayerTests.cpp
+++ b/src/backends/reference/test/RefLayerTests.cpp
@@ -1,5 +1,5 @@
//
-// Copyright © 2017,2022-2023 Arm Ltd and Contributors. All rights reserved.
+// Copyright © 2017,2022-2024 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
@@ -2885,4 +2885,56 @@
ARMNN_AUTO_TEST_CASE_WITH_THF(BroadcastTo3dAxis1TestSigned32, BroadcastTo3dAxis1Test<DataType::Signed32>)
ARMNN_AUTO_TEST_CASE_WITH_THF(BroadcastTo3dAxis2TestSigned32, BroadcastTo3dAxis2Test<DataType::Signed32>)
ARMNN_AUTO_TEST_CASE_WITH_THF(BroadcastTo4dTestSigned32, BroadcastTo4dTest<DataType::Signed32>)
+
+// ScatterNd
+// With Input tensor
+ARMNN_AUTO_TEST_CASE_WITH_THF(ScatterNd1DUpdateTestWithInputFloat32, ScatterNd1DimUpdateWithInput<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(ScatterNd2DUpdateTestWithInputFloat32, ScatterNd2DimUpdateWithInput<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(ScatterNd2Dim1Outter1InnerUpdateWithInputFloat32,
+ ScatterNd2Dim1Outter1InnerUpdateWithInput<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(ScatterNd3DimUpdateWithInputFloat32, ScatterNd3DimUpdateWithInput<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(ScatterNd3Dim1Outter2InnerUpdateWithInputFloat32,
+ ScatterNd3Dim1Outter2InnerUpdateWithInput<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(ScatterNd3Dim2Outter1InnerUpdateWithInputFloat32,
+ ScatterNd3Dim2Outter1InnerUpdateWithInput<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(ScatterNd4DimUpdateWithInputFloat32, ScatterNd4DimUpdateWithInput<DataType::Float32>)
+
+ARMNN_AUTO_TEST_CASE_WITH_THF(ScatterNd2DimAddWithInputFloat32, ScatterNd2DimAddWithInput<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(ScatterNd2DimSubWithInputFloat32, ScatterNd2DimSubWithInput<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(ScatterNd2DimMaxWithInputFloat32, ScatterNd2DimMaxWithInput<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(ScatterNd2DimMinWithInputFloat32, ScatterNd2DimMinWithInput<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(ScatterNd2DimMulWithInputFloat32, ScatterNd2DimMulWithInput<DataType::Float32>)
+
+ARMNN_AUTO_TEST_CASE_WITH_THF(ScatterNd3DimUpdateWithInputFloat16, ScatterNd3DimUpdateWithInput<DataType::Float16>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(ScatterNd3DimUpdateWithInputQAsymmS8, ScatterNd3DimUpdateWithInput<DataType::QAsymmS8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(ScatterNd3DimUpdateWithInputQAsymmU8, ScatterNd3DimUpdateWithInput<DataType::QAsymmU8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(ScatterNd3DimUpdateWithInputQSymmS8, ScatterNd3DimUpdateWithInput<DataType::QSymmS8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(ScatterNd3DimUpdateWithInputQSymmS16, ScatterNd3DimUpdateWithInput<DataType::QSymmS16>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(ScatterNd3DimUpdateWithInputSigned32, ScatterNd3DimUpdateWithInput<DataType::Signed32>)
+
+// No input tensor, only shape provided
+ARMNN_AUTO_TEST_CASE_WITH_THF(ScatterNd1DUpdateTestNoInputFloat32, ScatterNd1DimUpdateNoInput<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(ScatterNd2DimUpdateTestNoInputFloat32, ScatterNd2DimUpdateNoInput<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(ScatterNd2Dim1Outter1InnerUpdateNoInputFloat32,
+ ScatterNd2Dim1Outter1InnerUpdateNoInput<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(ScatterNd3DimUpdateNoInputFloat32, ScatterNd3DimUpdateNoInput<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(ScatterNd3Dim1Outter2InnerUpdateNoInputFloat32,
+ ScatterNd3Dim1Outter2InnerUpdateNoInput<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(ScatterNd3Dim2Outter1InnerUpdateNoInputFloat32,
+ ScatterNd3Dim2Outter1InnerUpdateNoInput<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(ScatterNd4DimUpdateNoInputFloat32, ScatterNd4DimUpdateNoInput<DataType::Float32>)
+
+ARMNN_AUTO_TEST_CASE_WITH_THF(ScatterNd2DimAddNoInputFloat32, ScatterNd2DimAddNoInput<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(ScatterNd2DimSubNoInputFloat32, ScatterNd2DimSubNoInput<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(ScatterNd2DimMaxNoInputFloat32, ScatterNd2DimMaxNoInput<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(ScatterNd2DimMinNoInputFloat32, ScatterNd2DimMinNoInput<DataType::Float32>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(ScatterNd2DimMulNoInputFloat32, ScatterNd2DimMulNoInput<DataType::Float32>)
+
+ARMNN_AUTO_TEST_CASE_WITH_THF(ScatterNd3DimUpdateNoInputFloat16, ScatterNd3DimUpdateNoInput<DataType::Float16>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(ScatterNd3DimUpdateNoInputQAsymmS8, ScatterNd3DimUpdateNoInput<DataType::QAsymmS8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(ScatterNd3DimUpdateNoInputQAsymmU8, ScatterNd3DimUpdateNoInput<DataType::QAsymmU8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(ScatterNd3DimUpdateNoInputQSymmS8, ScatterNd3DimUpdateNoInput<DataType::QSymmS8>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(ScatterNd3DimUpdateNoInputQSymmS16, ScatterNd3DimUpdateNoInput<DataType::QSymmS16>)
+ARMNN_AUTO_TEST_CASE_WITH_THF(ScatterNd3DimUpdateNoInputSigned32, ScatterNd3DimUpdateNoInput<DataType::Signed32>)
+
}
\ No newline at end of file
diff --git a/src/backends/reference/workloads/CMakeLists.txt b/src/backends/reference/workloads/CMakeLists.txt
index 42f92ae..0f70cb0 100644
--- a/src/backends/reference/workloads/CMakeLists.txt
+++ b/src/backends/reference/workloads/CMakeLists.txt
@@ -1,5 +1,5 @@
#
-# Copyright © 2017-2023 Arm Ltd and Contributors. All rights reserved.
+# Copyright © 2017-2024 Arm Ltd and Contributors. All rights reserved.
# SPDX-License-Identifier: MIT
#
@@ -85,6 +85,8 @@
RefCastWorkload.hpp
RefChannelShuffleWorkload.cpp
RefChannelShuffleWorkload.hpp
+ RefScatterNdWorkload.cpp
+ RefScatterNdWorkload.hpp
RefShapeWorkload.hpp
RefComparisonWorkload.cpp
RefComparisonWorkload.hpp
@@ -195,6 +197,8 @@
Resize.cpp
Resize.hpp
Rsqrt.hpp
+ ScatterNd.cpp
+ ScatterNd.hpp
Sin.hpp
Slice.cpp
Slice.hpp
diff --git a/src/backends/reference/workloads/RefScatterNdWorkload.cpp b/src/backends/reference/workloads/RefScatterNdWorkload.cpp
new file mode 100644
index 0000000..4713add
--- /dev/null
+++ b/src/backends/reference/workloads/RefScatterNdWorkload.cpp
@@ -0,0 +1,100 @@
+//
+// Copyright © 2024 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include <fmt/format.h>
+#include "RefScatterNdWorkload.hpp"
+#include "RefWorkloadUtils.hpp"
+#include "ScatterNd.hpp"
+#include "Profiling.hpp"
+
+namespace armnn
+{
+
+ RefScatterNdWorkload::RefScatterNdWorkload(const ScatterNdQueueDescriptor& descriptor, const WorkloadInfo& info)
+ : RefBaseWorkload(descriptor, info)
+ {}
+
+ void RefScatterNdWorkload::Execute() const
+ {
+ Execute(m_Data.m_Inputs, m_Data.m_Outputs);
+ }
+
+ void RefScatterNdWorkload::ExecuteAsync(ExecutionData& executionData)
+ {
+ WorkingMemDescriptor* workingMemDescriptor = static_cast<WorkingMemDescriptor*>(executionData.m_Data);
+ Execute(workingMemDescriptor->m_Inputs, workingMemDescriptor->m_Outputs);
+ }
+
+ void RefScatterNdWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const
+ {
+ ARMNN_SCOPED_PROFILING_EVENT_REF_NAME_GUID("RefScatterNdWorkload_Execute");
+
+ if (m_Data.m_Parameters.m_InputEnabled)
+ {
+ // Getting TensorInfos for three inputs slots
+ const TensorInfo& inputInfo = GetTensorInfo(inputs[0]);
+ const TensorInfo& indicesInfo = GetTensorInfo(inputs[1]);
+ const TensorInfo& updatesInfo = GetTensorInfo(inputs[2]);
+
+ // Getting Decoder for input
+ std::unique_ptr<Decoder<float>> inputDecoder = MakeDecoder<float>(GetTensorInfo(inputs[0]),
+ inputs[0]->Map());
+
+ // Getting Decoder for indices
+ std::unique_ptr<Decoder<int>> indicesDecoder = MakeDecoder<int>(GetTensorInfo(inputs[1]),
+ inputs[1]->Map());
+
+ // Getting Decoder for updates
+ std::unique_ptr<Decoder<float>> updatesDecoder = MakeDecoder<float>(GetTensorInfo(inputs[2]),
+ inputs[2]->Map());
+
+ // Getting Encoder for output
+ std::unique_ptr<Encoder<float>> outputEncoder = MakeEncoder<float>(GetTensorInfo(outputs[0]),
+ outputs[0]->Map());
+
+ ScatterNd(inputInfo,
+ indicesInfo,
+ updatesInfo,
+ *inputDecoder,
+ *indicesDecoder,
+ *updatesDecoder,
+ *outputEncoder,
+ m_Data.m_Parameters);
+ }
+ else
+ {
+ // Getting TensorInfos for three inputs slots
+ const TensorInfo& shapeInfo = GetTensorInfo(inputs[0]);
+ const TensorInfo& indicesInfo = GetTensorInfo(inputs[1]);
+ const TensorInfo& updatesInfo = GetTensorInfo(inputs[2]);
+
+ // Getting Decoder for shape
+ std::unique_ptr<Decoder<int>> shapeDecoder = MakeDecoder<int>(GetTensorInfo(inputs[0]),
+ inputs[0]->Map());
+
+ // Getting Decoder for indices
+ std::unique_ptr<Decoder<int>> indicesDecoder = MakeDecoder<int>(GetTensorInfo(inputs[1]),
+ inputs[1]->Map());
+
+ // Getting Decoder for updates
+ std::unique_ptr<Decoder<float>> updatesDecoder = MakeDecoder<float>(GetTensorInfo(inputs[2]),
+ inputs[2]->Map());
+
+ // Getting Encoder for output
+ std::unique_ptr<Encoder<float>> outputEncoder = MakeEncoder<float>(GetTensorInfo(outputs[0]),
+ outputs[0]->Map());
+
+ ScatterNd(indicesInfo,
+ updatesInfo,
+ shapeInfo,
+ *indicesDecoder,
+ *updatesDecoder,
+ *shapeDecoder,
+ *outputEncoder,
+ m_Data.m_Parameters);
+ }
+ }
+
+} // namespace armnn
\ No newline at end of file
diff --git a/src/backends/reference/workloads/RefScatterNdWorkload.hpp b/src/backends/reference/workloads/RefScatterNdWorkload.hpp
new file mode 100644
index 0000000..c9cf5a3
--- /dev/null
+++ b/src/backends/reference/workloads/RefScatterNdWorkload.hpp
@@ -0,0 +1,30 @@
+//
+// Copyright © 2024 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#pragma once
+
+#include "RefBaseWorkload.hpp"
+#include <armnn/backends/WorkloadData.hpp>
+
+#include "ScatterNd.hpp"
+
+namespace armnn
+{
+
+ class RefScatterNdWorkload : public RefBaseWorkload<ScatterNdQueueDescriptor>
+ {
+ public:
+ explicit RefScatterNdWorkload(const ScatterNdQueueDescriptor& descriptor,
+ const WorkloadInfo& info);
+
+ void Execute() const override;
+ void ExecuteAsync(ExecutionData& executionData) override;
+
+ private:
+ void Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const;
+
+ };
+
+} // namespace armnn
\ No newline at end of file
diff --git a/src/backends/reference/workloads/RefWorkloads.hpp b/src/backends/reference/workloads/RefWorkloads.hpp
index 98aa27b..92b178c 100644
--- a/src/backends/reference/workloads/RefWorkloads.hpp
+++ b/src/backends/reference/workloads/RefWorkloads.hpp
@@ -1,5 +1,5 @@
//
-// Copyright © 2017-2023 Arm Ltd and Contributors. All rights reserved.
+// Copyright © 2017-2024 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
@@ -55,6 +55,7 @@
#include "RefReshapeWorkload.hpp"
#include "RefResizeWorkload.hpp"
#include "RefReverseV2Workload.hpp"
+#include "RefScatterNdWorkload.hpp"
#include "RefShapeWorkload.hpp"
#include "RefSliceWorkload.hpp"
#include "RefSplitterWorkload.hpp"
diff --git a/src/backends/reference/workloads/ScatterNd.cpp b/src/backends/reference/workloads/ScatterNd.cpp
new file mode 100644
index 0000000..8eb53b0
--- /dev/null
+++ b/src/backends/reference/workloads/ScatterNd.cpp
@@ -0,0 +1,336 @@
+//
+// Copyright © 2024 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "ScatterNd.hpp"
+#include "Encoders.hpp"
+#include <armnn/backends/WorkloadData.hpp>
+#include <armnn/Logging.hpp>
+
+#include <fmt/format.h>
+
+#include <numeric>
+
+namespace armnn
+{
+
+float ScatterOperation(ScatterNdFunction operation,
+ float input,
+ float update)
+{
+ switch (operation)
+ {
+ case ScatterNdFunction::Update:
+ return update;
+ case ScatterNdFunction::Add:
+ return input + update;
+ case ScatterNdFunction::Sub:
+ return input - update;
+ case ScatterNdFunction::Max:
+ return std::max(input, update);
+ case ScatterNdFunction::Min:
+ return std::min(input, update);
+ case ScatterNdFunction::Mul:
+ return input * update;
+ default:
+ throw InvalidArgumentException("ScatterNd: cannot execute this operation.");
+ }
+}
+
+void ScatterNd(const TensorInfo& inputInfo,
+ const TensorInfo& indicesInfo,
+ const TensorInfo& updatesInfo,
+ Decoder<float>& input,
+ Decoder<int>& indices,
+ Decoder<float>& updates,
+ Encoder<float>& output,
+ ScatterNdDescriptor descriptor)
+{
+ // Axis Unsupported
+ if (descriptor.m_AxisEnabled)
+ {
+ throw InvalidArgumentException("ScatterNd: axis param not supported.");
+ }
+
+ // Get the shape for indices, updates, and input
+ TensorShape indicesShape = indicesInfo.GetShape();
+ TensorShape updatesShape = updatesInfo.GetShape();
+ TensorShape inputShape = inputInfo.GetShape();
+
+ // Get the dimensions for indices and updates
+ unsigned int dimension = inputInfo.GetNumDimensions();
+ unsigned int indicesDim = indicesInfo.GetNumDimensions();
+ unsigned int updatesDim = updatesInfo.GetNumDimensions();
+
+ // Calculate the outter and inner dimensions
+ unsigned int outterDim = indicesShape[indicesDim - 1];
+ unsigned int innerDim = dimension - outterDim;
+
+ // Calculate the number of elements in each dimension
+ unsigned int numElementsCount = 1;
+ std::vector<unsigned int> elementInDim(dimension);
+ for (unsigned int dimIndex = dimension; dimIndex > 0; --dimIndex)
+ {
+ elementInDim[dimIndex - 1] = numElementsCount;
+ numElementsCount *= inputShape[dimIndex - 1];
+ }
+
+ // Number of updates per index
+ unsigned int numUpdatesPerIndex = elementInDim[dimension - innerDim - 1];
+
+ // Number of indices to update
+ unsigned int numIndices = indicesShape[0];
+
+ // Check Input Requirements
+ // Requirement 1: Indices and Updates must have rank at least 1
+ if (indicesDim < 1 || updatesDim < 1)
+ {
+ throw InvalidArgumentException("ScatterNd: indices and updates must have rank >= 1.");
+ }
+
+ // Requirement 2: Input, Indices and Updates must have values
+ if (inputInfo.GetNumElements() == 0 ||
+ indicesInfo.GetNumElements() == 0 ||
+ updatesInfo.GetNumElements() == 0)
+ {
+ throw InvalidArgumentException("ScatterNd: input, indices and updates tensor must have values.");
+ }
+
+ // Requirement 3: Indices and Updates must match in shape
+ // The updates dimension should equals to 1 + inner dimension
+ if (updatesDim != 1 + innerDim)
+ {
+ throw InvalidArgumentException("ScatterNd: updates dimension should equal to 1 + inner dimension.");
+ }
+ // The inner dimension of updates has to match with shape of input
+ for (unsigned int dimBackIndex = 0; dimBackIndex < innerDim; ++dimBackIndex)
+ {
+ if (updatesShape[updatesDim - dimBackIndex - 1] != inputShape[dimension - dimBackIndex - 1])
+ {
+ throw InvalidArgumentException(
+ fmt::format("ScatterNd: input and updates shape not match on dimension {}",
+ dimension - dimBackIndex));
+ }
+ }
+
+ // Requirement 4: Check duplicate indices and out of bound indices
+ std::set<int> indicesSet;
+ std::vector<int> flattenIndices(numIndices);
+ for (unsigned int indicesIdx = 0; indicesIdx < numIndices; ++indicesIdx)
+ {
+ // Get the index
+ int flattenIndex = 0;
+
+ for (unsigned int outterIdx = 0; outterIdx < outterDim; ++outterIdx) {
+
+ int outterIndexValue = indices.Get();
+
+ // Check bounds
+ if (outterIndexValue < 0 || outterIndexValue >= int(inputShape[outterIdx]))
+ {
+ throw InvalidArgumentException(
+ fmt::format("ScatterNd: indices {} out of bound [0, {})",
+ outterIndexValue, inputShape[outterIdx]));
+ }
+
+ flattenIndex += int(elementInDim[outterIdx]) * outterIndexValue;
+ ++indices;
+ }
+
+ // Check duplicates when executing ScatterNd::Update
+ if (descriptor.m_Function == ScatterNdFunction::Update &&
+ indicesSet.find(flattenIndex) != indicesSet.end())
+ {
+ throw InvalidArgumentException(
+ fmt::format("ScatterNd: duplicate indices occurs {}", flattenIndex));
+ }
+
+ flattenIndices[indicesIdx] = flattenIndex;
+ indicesSet.insert(flattenIndex);
+ }
+
+ // Set the input data to output
+ for (unsigned int idx = 0; idx < inputInfo.GetNumElements(); ++idx)
+ {
+ float inputValue = input.Get();
+ ++input;
+ output.Set(inputValue);
+ ++output;
+ }
+
+ // Iterate through all indices to scatter updates
+ for (unsigned int indicesIdx = 0; indicesIdx < numIndices; ++indicesIdx)
+ {
+ // Get the index and calculate the flatten index
+ int flattenIndex = flattenIndices[indicesIdx];
+
+ // FlattenIndex is the place that we are going to update the elements
+ unsigned int updatesStartIdx = indicesIdx * numUpdatesPerIndex;
+ for (unsigned int updatesIdx = 0; updatesIdx < numUpdatesPerIndex; ++updatesIdx)
+ {
+ updates[updatesStartIdx + updatesIdx];
+ input[static_cast<unsigned int>(flattenIndex) + updatesIdx];
+ float updateValue = ScatterOperation(descriptor.m_Function, input.Get(), updates.Get());
+ output[static_cast<unsigned int>(flattenIndex) + updatesIdx];
+ output.Set(updateValue);
+ }
+ }
+}
+
+void ScatterNd(const TensorInfo& indicesInfo,
+ const TensorInfo& updatesInfo,
+ const TensorInfo& shapeInfo,
+ Decoder<int>& indices,
+ Decoder<float>& updates,
+ Decoder<int>& shape,
+ Encoder<float>& output,
+ ScatterNdDescriptor descriptor)
+{
+ // Axis Unsupported
+ if (descriptor.m_AxisEnabled)
+ {
+ throw InvalidArgumentException("ScatterNd: axis param not supported.");
+ }
+
+ // Get the shape for indices, updates, and input
+ TensorShape indicesShape = indicesInfo.GetShape();
+ TensorShape updatesShape = updatesInfo.GetShape();
+
+ // Get the shape values
+ std::vector<float> shapeValues = shape.DecodeTensor(shapeInfo.GetShape());
+ // Check the shape
+ if (shapeInfo.GetNumElements() == 0)
+ {
+ throw InvalidArgumentException("ScatterNd: shape must have values.");
+ }
+ for (auto shapeValue : shapeValues)
+ {
+ if (shapeValue <= 0)
+ {
+ throw InvalidArgumentException("ScatterNd: shape values must >= 0.");
+ }
+ }
+ // Get the input shape
+ std::vector<unsigned int> inputShape (shapeValues.begin(), shapeValues.end());
+ unsigned int inputElementsNum = static_cast<unsigned int>(
+ std::accumulate(inputShape.begin(), inputShape.end(), 1, std::multiplies<unsigned int>()));
+
+ // Get the dimensions for indices and updates
+ unsigned int dimension = shapeInfo.GetNumElements();
+ unsigned int indicesDim = indicesInfo.GetNumDimensions();
+ unsigned int updatesDim = updatesInfo.GetNumDimensions();
+
+ // Calculate the outter and inner dimensions
+ unsigned int outterDim = indicesShape[indicesDim - 1];
+ unsigned int innerDim = dimension - outterDim;
+
+ // Calculate the number of elements in each dimension
+ unsigned int numElementsCount = 1;
+ std::vector<unsigned int> elementInDim(dimension);
+ for (unsigned int dimIndex = dimension; dimIndex > 0; --dimIndex)
+ {
+ elementInDim[dimIndex - 1] = numElementsCount;
+ numElementsCount *= inputShape[dimIndex - 1];
+ }
+
+ // Number of updates per index
+ unsigned int numUpdatesPerIndex = elementInDim[dimension - innerDim - 1];
+
+ // Number of indices to update
+ unsigned int numIndices = indicesShape[0];
+
+ // Check Input Requirements
+ // Requirement 1: Indices and Updates must have rank at least 1
+ if (indicesDim < 1 || updatesDim < 1)
+ {
+ throw InvalidArgumentException("ScatterNd: indices and updates must have rank >= 1.");
+ }
+
+ // Requirement 2: shape, Indices and Updates must have values
+ if (indicesInfo.GetNumElements() == 0 ||
+ updatesInfo.GetNumElements() == 0)
+ {
+ throw InvalidArgumentException("ScatterNd: indices and updates tensor must have values.");
+ }
+
+ // Requirement 3: Indices and Updates must match in shape
+ // The updates dimension should equals to 1 + inner dimension
+ if (updatesDim != 1 + innerDim)
+ {
+ throw InvalidArgumentException("ScatterNd: updates dimension should equal to 1 + inner dimension.");
+ }
+ // The inner dimension of updates has to match with shape of input
+ for (unsigned int dimBackIndex = 0; dimBackIndex < innerDim; ++dimBackIndex)
+ {
+ if (updatesShape[updatesDim - dimBackIndex - 1] != inputShape[dimension - dimBackIndex - 1])
+ {
+ throw InvalidArgumentException(
+ fmt::format("ScatterNd: input and updates shape not match on dimension {}",
+ dimension - dimBackIndex));
+ }
+ }
+
+ // Requirement 4: Check duplicate indices and out of bound indices
+ std::set<int> indicesSet;
+ std::vector<int> flattenIndices(numIndices);
+ for (unsigned int indicesIdx = 0; indicesIdx < numIndices; ++indicesIdx)
+ {
+ // Get the index
+ int flattenIndex = 0;
+
+ for (unsigned int outterIdx = 0; outterIdx < outterDim; ++outterIdx) {
+
+ int outterIndexValue = indices.Get();
+
+ // Check bounds
+ if (outterIndexValue < 0 || outterIndexValue >= int(inputShape[outterIdx]))
+ {
+ throw InvalidArgumentException(
+ fmt::format("ScatterNd: indices {} out of bound [0, {})",
+ outterIndexValue, inputShape[outterIdx]));
+ }
+
+ flattenIndex += int(elementInDim[outterIdx]) * outterIndexValue;
+ ++indices;
+ }
+
+ // Check duplicates when executing ScatterNd::Update
+ if (descriptor.m_Function == ScatterNdFunction::Update &&
+ indicesSet.find(flattenIndex) != indicesSet.end())
+ {
+ throw InvalidArgumentException(
+ fmt::format("ScatterNd: duplicate indices {} occurs when executing ScatterNd::Update.",
+ flattenIndex));
+ }
+
+ flattenIndices[indicesIdx] = flattenIndex;
+ indicesSet.insert(flattenIndex);
+ }
+
+ // Set zeros to output
+ for (unsigned int idx = 0; idx < inputElementsNum; ++idx)
+ {
+ output.Set(0.0f);
+ ++output;
+ }
+
+ // Iterate through all indices to scatter updates
+ for (unsigned int indicesIdx = 0; indicesIdx < numIndices; ++indicesIdx)
+ {
+ // Get the index and calculate the flatten index
+ int flattenIndex = flattenIndices[indicesIdx];
+
+ // FlattenIndex is the place that we are going to update the elements
+ unsigned int updatesStartIdx = indicesIdx * numUpdatesPerIndex;
+ for (unsigned int updatesIdx = 0; updatesIdx < numUpdatesPerIndex; ++updatesIdx)
+ {
+ updates[updatesStartIdx + updatesIdx];
+ float updateValue = ScatterOperation(descriptor.m_Function, 0.0f, updates.Get());
+ output[static_cast<unsigned int>(flattenIndex) + updatesIdx];
+ output.Set(updateValue);
+ }
+ }
+}
+
+} // namespace armnn
\ No newline at end of file
diff --git a/src/backends/reference/workloads/ScatterNd.hpp b/src/backends/reference/workloads/ScatterNd.hpp
new file mode 100644
index 0000000..e40d364
--- /dev/null
+++ b/src/backends/reference/workloads/ScatterNd.hpp
@@ -0,0 +1,34 @@
+//
+// Copyright © 2024 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#pragma once
+
+#include <armnn/Tensor.hpp>
+#include "Encoders.hpp"
+#include "Decoders.hpp"
+#include "armnn/Descriptors.hpp"
+
+namespace armnn
+{
+// ScatterNd with input tensor
+void ScatterNd(const TensorInfo& inputInfo,
+ const TensorInfo& indicesInfo,
+ const TensorInfo& updatesInfo,
+ Decoder<float>& input,
+ Decoder<int>& indices,
+ Decoder<float>& updates,
+ Encoder<float>& output,
+ ScatterNdDescriptor descriptor);
+
+// ScatterNd without input tensor, only shape provided
+void ScatterNd(const TensorInfo& indicesInfo,
+ const TensorInfo& updatesInfo,
+ const TensorInfo& shapeInfo,
+ Decoder<int>& indices,
+ Decoder<float>& updates,
+ Decoder<int>& shape,
+ Encoder<float>& output,
+ ScatterNdDescriptor descriptor);
+} // namespace armnn
\ No newline at end of file