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//
// 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);
}
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