blob: 5e38e4819129673ebab062b0691e1251d04dad1c [file] [log] [blame]
//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "GatherTestImpl.hpp"
#include <ResolveType.hpp>
#include <armnn/ArmNN.hpp>
#include <backendsCommon/test/TensorCopyUtils.hpp>
#include <backendsCommon/test/WorkloadTestUtils.hpp>
#include <test/TensorHelpers.hpp>
namespace
{
template <armnn::DataType ArmnnType,
typename T = armnn::ResolveType<ArmnnType>,
size_t ParamsDim,
size_t IndicesDim,
size_t 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>>
struct GatherTestHelper
{
static 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);
if (armnn::IsQuantizedType<T>())
{
paramsInfo.SetQuantizationScale(1.0f);
paramsInfo.SetQuantizationOffset(1);
outputInfo.SetQuantizationScale(1.0f);
outputInfo.SetQuantizationOffset(1);
}
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);
}
static 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);
if (armnn::IsQuantizedType<T>())
{
paramsInfo.SetQuantizationScale(1.0f);
paramsInfo.SetQuantizationOffset(1);
outputInfo.SetQuantizationScale(1.0f);
outputInfo.SetQuantizationOffset(1);
}
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);
}
static 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);
if (armnn::IsQuantizedType<T>())
{
paramsInfo.SetQuantizationScale(1.0f);
paramsInfo.SetQuantizationOffset(1);
outputInfo.SetQuantizationScale(1.0f);
outputInfo.SetQuantizationOffset(1);
}
const std::vector<T> params =
{
1, 2, 3,
4, 5, 6,
7, 8, 9,
10, 11, 12,
13, 14, 15,
16, 17, 18
};
const std::vector<int32_t> indices = { 1, 2, 1, 2, 1, 0 };
const std::vector<T> expectedOutput =
{
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);
}
};
template<typename T>
struct GatherTestHelper<armnn::DataType::Float16, T>
{
static LayerTestResult<T, 1> Gather1dParamsTestImpl(
armnn::IWorkloadFactory& workloadFactory,
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
{
using namespace half_float::literal;
armnn::TensorInfo paramsInfo({ 8 }, armnn::DataType::Float16);
armnn::TensorInfo indicesInfo({ 4 }, armnn::DataType::Signed32);
armnn::TensorInfo outputInfo({ 4 }, armnn::DataType::Float16);
const std::vector<T> params = std::vector<T>({ 1._h, 2._h, 3._h, 4._h, 5._h, 6._h, 7._h, 8._h });
const std::vector<int32_t> indices = std::vector<int32_t>({ 0, 2, 1, 5 });
const std::vector<T> expectedOutput = std::vector<T>({ 1._h, 3._h, 2._h, 6._h });
return GatherTestImpl<armnn::DataType::Float16, T, 1, 1, 1>(
workloadFactory,
memoryManager,
paramsInfo,
indicesInfo,
outputInfo,
params,
indices,
expectedOutput);
}
static LayerTestResult<T, 2> GatherMultiDimParamsTestImpl(
armnn::IWorkloadFactory& workloadFactory,
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
{
using namespace half_float::literal;
armnn::TensorInfo paramsInfo({ 5, 2 }, armnn::DataType::Float16);
armnn::TensorInfo indicesInfo({ 3 }, armnn::DataType::Signed32);
armnn::TensorInfo outputInfo({ 3, 2 }, armnn::DataType::Float16);
const std::vector<T> params = std::vector<T>({ 1._h, 2._h, 3._h, 4._h, 5._h, 6._h, 7._h, 8._h, 9._h, 10._h });
const std::vector<int32_t> indices = std::vector<int32_t>({ 1, 3, 4 });
const std::vector<T> expectedOutput = std::vector<T>({ 3._h, 4._h, 7._h, 8._h, 9._h, 10._h });
return GatherTestImpl<armnn::DataType::Float16, T, 2, 1, 2>(
workloadFactory,
memoryManager,
paramsInfo,
indicesInfo,
outputInfo,
params,
indices,
expectedOutput);
}
static LayerTestResult<T, 4> GatherMultiDimParamsMultiDimIndicesTestImpl(
armnn::IWorkloadFactory& workloadFactory,
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
{
using namespace half_float::literal;
armnn::TensorInfo paramsInfo({ 3, 2, 3 }, armnn::DataType::Float16);
armnn::TensorInfo indicesInfo({ 2, 3 }, armnn::DataType::Signed32);
armnn::TensorInfo outputInfo({ 2, 3, 2, 3 }, armnn::DataType::Float16);
const std::vector<T> params =
{
1._h, 2._h, 3._h,
4._h, 5._h, 6._h,
7._h, 8._h, 9._h,
10._h, 11._h, 12._h,
13._h, 14._h, 15._h,
16._h, 17._h, 18._h
};
const std::vector<int32_t> indices = { 1, 2, 1, 2, 1, 0 };
const std::vector<T> expectedOutput =
{
7._h, 8._h, 9._h,
10._h, 11._h, 12._h,
13._h, 14._h, 15._h,
16._h, 17._h, 18._h,
7._h, 8._h, 9._h,
10._h, 11._h, 12._h,
13._h, 14._h, 15._h,
16._h, 17._h, 18._h,
7._h, 8._h, 9._h,
10._h, 11._h, 12._h,
1._h, 2._h, 3._h,
4._h, 5._h, 6._h
};
return GatherTestImpl<armnn::DataType::Float16, T, 3, 2, 4>(
workloadFactory,
memoryManager,
paramsInfo,
indicesInfo,
outputInfo,
params,
indices,
expectedOutput);
}
};
} // anonymous namespace
LayerTestResult<float, 1> Gather1dParamsFloat32Test(
armnn::IWorkloadFactory& workloadFactory,
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
{
return GatherTestHelper<armnn::DataType::Float32>::Gather1dParamsTestImpl(workloadFactory, memoryManager);
}
LayerTestResult<armnn::Half, 1> Gather1dParamsFloat16Test(
armnn::IWorkloadFactory& workloadFactory,
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
{
return GatherTestHelper<armnn::DataType::Float16>::Gather1dParamsTestImpl(workloadFactory, memoryManager);
}
LayerTestResult<uint8_t, 1> Gather1dParamsUint8Test(
armnn::IWorkloadFactory& workloadFactory,
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
{
return GatherTestHelper<armnn::DataType::QuantisedAsymm8>::Gather1dParamsTestImpl(workloadFactory, memoryManager);
}
LayerTestResult<int16_t, 1> Gather1dParamsInt16Test(
armnn::IWorkloadFactory& workloadFactory,
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
{
return GatherTestHelper<armnn::DataType::QuantisedSymm16>::Gather1dParamsTestImpl(workloadFactory, memoryManager);
}
LayerTestResult<float, 2> GatherMultiDimParamsFloat32Test(
armnn::IWorkloadFactory& workloadFactory,
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
{
return GatherTestHelper<armnn::DataType::Float32>::GatherMultiDimParamsTestImpl(workloadFactory, memoryManager);
}
LayerTestResult<armnn::Half, 2> GatherMultiDimParamsFloat16Test(
armnn::IWorkloadFactory& workloadFactory,
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
{
return GatherTestHelper<armnn::DataType::Float16>::GatherMultiDimParamsTestImpl(workloadFactory, memoryManager);
}
LayerTestResult<uint8_t, 2> GatherMultiDimParamsUint8Test(
armnn::IWorkloadFactory& workloadFactory,
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
{
return GatherTestHelper<armnn::DataType::QuantisedAsymm8>::GatherMultiDimParamsTestImpl(
workloadFactory, memoryManager);
}
LayerTestResult<int16_t, 2> GatherMultiDimParamsInt16Test(
armnn::IWorkloadFactory& workloadFactory,
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
{
return GatherTestHelper<armnn::DataType::QuantisedSymm16>::GatherMultiDimParamsTestImpl(
workloadFactory, memoryManager);
}
LayerTestResult<float, 4> GatherMultiDimParamsMultiDimIndicesFloat32Test(
armnn::IWorkloadFactory& workloadFactory,
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
{
return GatherTestHelper<armnn::DataType::Float32>::GatherMultiDimParamsMultiDimIndicesTestImpl(
workloadFactory, memoryManager);
}
LayerTestResult<armnn::Half, 4> GatherMultiDimParamsMultiDimIndicesFloat16Test(
armnn::IWorkloadFactory& workloadFactory,
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
{
return GatherTestHelper<armnn::DataType::Float16>::GatherMultiDimParamsMultiDimIndicesTestImpl(
workloadFactory, memoryManager);
}
LayerTestResult<uint8_t, 4> GatherMultiDimParamsMultiDimIndicesUint8Test(
armnn::IWorkloadFactory& workloadFactory,
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
{
return GatherTestHelper<armnn::DataType::QuantisedAsymm8>::GatherMultiDimParamsMultiDimIndicesTestImpl(
workloadFactory, memoryManager);
}
LayerTestResult<int16_t, 4> GatherMultiDimParamsMultiDimIndicesInt16Test(
armnn::IWorkloadFactory& workloadFactory,
const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager)
{
return GatherTestHelper<armnn::DataType::QuantisedSymm16>::GatherMultiDimParamsMultiDimIndicesTestImpl(
workloadFactory, memoryManager);
}