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//
// Copyright © 2024 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 CreateSoftmaxNetwork(const armnn::TensorShape& inputShape,
const armnn::TensorShape& outputShape,
const armnn::SoftmaxDescriptor& descriptor,
const float qScale = 1.0f,
const int32_t qOffset = 0)
{
using namespace armnn;
// Builds up the structure of the network.
INetworkPtr net(INetwork::Create());
TensorInfo inputTensorInfo(inputShape, DataType, qScale, qOffset, true);
IConnectableLayer* Softmax = net->AddSoftmaxLayer(descriptor, "Softmax");
IConnectableLayer* input = net->AddInputLayer(0, "input");
Connect(input, Softmax, inputTensorInfo, 0, 0);
TensorInfo outputTensorInfo(outputShape, DataType, qScale, qOffset);
IConnectableLayer* output = net->AddOutputLayer(0, "output");
Connect(Softmax, output, outputTensorInfo, 0, 0);
return net;
}
template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
void SoftmaxEndToEnd(const std::vector<armnn::BackendId>& backends)
{
using namespace armnn;
const TensorShape& inputShape = { 2, 2 };
const TensorShape& outputShape = { 2, 2 };
SoftmaxDescriptor softmaxDesc;
softmaxDesc.m_Beta = 1.0f;
softmaxDesc.m_Axis = 1;
// Builds up the structure of the network
INetworkPtr net = CreateSoftmaxNetwork<ArmnnType>(inputShape,
outputShape,
softmaxDesc);
CHECK(net);
std::vector<T> inputData
{
17.0f, 16.0f, 5.0f, 14.0f
};
std::vector<T> expectedOutputData
{
0.731059f, 0.268941f, 0.000123f, 0.999877f
};
std::map<int, std::vector<T>> inputTensorData = { {0, inputData} };
std::map<int, std::vector<T>> expectedOutputTensorData = { {0, expectedOutputData} };
EndToEndLayerTestImpl<ArmnnType, ArmnnType>(std::move(net),
inputTensorData,
expectedOutputTensorData,
backends);
}
} // anonymous namespace
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