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//
// Copyright © 2023 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#pragma once
#include <armnn/INetwork.hpp>
#include <CommonTestUtils.hpp>
#include <ResolveType.hpp>
#include <doctest/doctest.h>
namespace
{
template<typename armnn::DataType DataType>
armnn::INetworkPtr CreateReduceNetwork(const armnn::TensorShape& inputShape,
const armnn::TensorShape& outputShape,
const armnn::ReduceDescriptor& descriptor,
const float qScale = 1.0f,
const int32_t qOffset = 0)
{
using namespace armnn;
INetworkPtr network(INetwork::Create());
TensorInfo inputTensorInfo(inputShape, DataType, qScale, qOffset, true);
TensorInfo outputTensorInfo(outputShape, DataType, qScale, qOffset);
IConnectableLayer* reduce = network->AddReduceLayer(descriptor, "reduce");
IConnectableLayer* input = network->AddInputLayer(0, "input");
IConnectableLayer* output = network->AddOutputLayer(0, "output");
Connect(input, reduce, inputTensorInfo, 0, 0);
Connect(reduce, output, outputTensorInfo, 0, 0);
return network;
}
template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
void ReduceEndToEnd(const std::vector<armnn::BackendId>& backends)
{
using namespace armnn;
const TensorShape& inputShape = { 1, 1, 1, 5 };
const TensorShape& outputShape = { 1, 1, 1 };
ReduceDescriptor descriptor;
descriptor.m_KeepDims = false;
descriptor.m_vAxis = { 3 };
descriptor.m_ReduceOperation = ReduceOperation::Sum;
INetworkPtr network = CreateReduceNetwork<ArmnnType>(inputShape, outputShape, descriptor);
CHECK(network);
std::vector<float> floatInputData({ 5.0f, 2.0f, 8.0f, 10.0f, 9.0f });
std::vector<float> floatOutputData({ 34.0f });
std::vector<T> inputData = armnnUtils::QuantizedVector<T>(floatInputData);
std::vector<T> outputData = armnnUtils::QuantizedVector<T>(floatOutputData);
std::map<int, std::vector<T>> inputTensorData = { { 0, inputData } };
std::map<int, std::vector<T>> expectedOutputData = { { 0, outputData } };
EndToEndLayerTestImpl<ArmnnType, ArmnnType>(std::move(network), inputTensorData, expectedOutputData, backends);
}
} // anonymous namespace
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