IVGCVSW-2510 Ref workload implementation for Gather operator
* add implemenentation for GatherQueueDescriptor validate function
* add FirstInputTypedWorkload to allow type check on the first input tensor only
* add ref workload implemenentation for float and uint8
* add Gather layer support in Ref
* unit tests
Change-Id: I4578a3211f11d24aa29d15bcf7f45b0445bcd1ee
diff --git a/src/backends/backendsCommon/test/GatherTestImpl.hpp b/src/backends/backendsCommon/test/GatherTestImpl.hpp
new file mode 100644
index 0000000..16b266e
--- /dev/null
+++ b/src/backends/backendsCommon/test/GatherTestImpl.hpp
@@ -0,0 +1,128 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+#pragma once
+
+#include "WorkloadTestUtils.hpp"
+
+#include <armnn/Types.hpp>
+#include <backendsCommon/CpuTensorHandle.hpp>
+#include <backendsCommon/IBackendInternal.hpp>
+#include <backendsCommon/WorkloadFactory.hpp>
+
+template <armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>,
+ unsigned int paramsDim, unsigned int indicesDim, unsigned int OutputDim>
+LayerTestResult<T, OutputDim> GatherTestImpl(
+ armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager,
+ const armnn::TensorInfo& paramsInfo,
+ const armnn::TensorInfo& indicesInfo,
+ const armnn::TensorInfo& outputInfo,
+ const std::vector<T>& paramsData,
+ const std::vector<int32_t>& indicesData,
+ const std::vector<T>& outputData)
+{
+ auto params = MakeTensor<T, paramsDim>(paramsInfo, paramsData);
+ auto indices = MakeTensor<int32_t, indicesDim>(indicesInfo, indicesData);
+
+ LayerTestResult<T, OutputDim> result(outputInfo);
+ result.outputExpected = MakeTensor<T, OutputDim>(outputInfo, outputData);
+
+ std::unique_ptr<armnn::ITensorHandle> paramsHandle = workloadFactory.CreateTensorHandle(paramsInfo);
+ std::unique_ptr<armnn::ITensorHandle> indicesHandle = workloadFactory.CreateTensorHandle(indicesInfo);
+ std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputInfo);
+
+ armnn::GatherQueueDescriptor data;
+ armnn::WorkloadInfo info;
+ AddInputToWorkload(data, info, paramsInfo, paramsHandle.get());
+ AddInputToWorkload(data, info, indicesInfo, indicesHandle.get());
+ AddOutputToWorkload(data, info, outputInfo, outputHandle.get());
+
+ std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateGather(data, info);
+
+ paramsHandle->Allocate();
+ indicesHandle->Allocate();
+ outputHandle->Allocate();
+
+ CopyDataToITensorHandle(paramsHandle.get(), params.origin());
+ CopyDataToITensorHandle(indicesHandle.get(), indices.origin());
+
+ workload->Execute();
+
+ CopyDataFromITensorHandle(result.output.origin(), outputHandle.get());
+
+ return result;
+}
+
+template <armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 1> Gather1DParamsTestImpl(armnn::IWorkloadFactory& workloadFactory,
+ const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ armnn::TensorInfo paramsInfo({ 8 }, ArmnnType);
+ armnn::TensorInfo indicesInfo({ 4 }, armnn::DataType::Signed32);
+ armnn::TensorInfo outputInfo({ 4 }, ArmnnType);
+
+ const std::vector<T> params = std::vector<T>({ 1, 2, 3, 4, 5, 6, 7, 8 });
+ const std::vector<int32_t> indices = std::vector<int32_t>({ 0, 2, 1, 5 });
+ const std::vector<T> expectedOutput = std::vector<T>({ 1, 3, 2, 6 });
+
+ return GatherTestImpl<ArmnnType, T, 1, 1, 1>(workloadFactory, memoryManager,
+ paramsInfo, indicesInfo, outputInfo,
+ params,indices, expectedOutput);
+}
+
+template <armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 2> GatherMultiDimParamsTestImpl(
+ armnn::IWorkloadFactory& workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ armnn::TensorInfo paramsInfo({ 5, 2 }, ArmnnType);
+ armnn::TensorInfo indicesInfo({ 3 }, armnn::DataType::Signed32);
+ armnn::TensorInfo outputInfo({ 3, 2 }, ArmnnType);
+
+ const std::vector<T> params = std::vector<T>({ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 });
+ const std::vector<int32_t> indices = std::vector<int32_t>({ 1, 3, 4 });
+ const std::vector<T> expectedOutput = std::vector<T>({ 3, 4, 7, 8, 9, 10 });
+
+ return GatherTestImpl<ArmnnType, T, 2, 1, 2>(workloadFactory, memoryManager,
+ paramsInfo, indicesInfo, outputInfo,
+ params,indices, expectedOutput);
+}
+
+template <armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+LayerTestResult<T, 4> GatherMultiDimParamsMultiDimIndicesTestImpl(
+ armnn::IWorkloadFactory& workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
+{
+ armnn::TensorInfo paramsInfo({ 3, 2, 3}, ArmnnType);
+ armnn::TensorInfo indicesInfo({ 2, 3 }, armnn::DataType::Signed32);
+ armnn::TensorInfo outputInfo({ 2, 3, 2, 3 }, ArmnnType);
+
+ const std::vector<T> params = std::vector<T>({
+ 1, 2, 3,
+ 4, 5, 6,
+
+ 7, 8, 9,
+ 10, 11, 12,
+
+ 13, 14, 15,
+ 16, 17, 18 });
+ const std::vector<int32_t> indices = std::vector<int32_t>({ 1, 2, 1, 2, 1, 0 });
+ const std::vector<T> expectedOutput = std::vector<T>({
+ 7, 8, 9,
+ 10, 11, 12,
+ 13, 14, 15,
+ 16, 17, 18,
+ 7, 8, 9,
+ 10, 11, 12,
+
+ 13, 14, 15,
+ 16, 17, 18,
+ 7, 8, 9,
+ 10, 11, 12,
+ 1, 2, 3,
+ 4, 5, 6 });
+
+ return GatherTestImpl<ArmnnType, T, 3, 2, 4>(workloadFactory, memoryManager,
+ paramsInfo, indicesInfo, outputInfo,
+ params,indices, expectedOutput);
+}