Test_ScalingMeta.cpp

/********************************************************************************
 * Copyright (c) 2023 CEA-List
 *
 * This program and the accompanying materials are made available under the
 * terms of the Eclipse Public License 2.0 which is available at
 * http://www.eclipse.org/legal/epl-2.0.
 *
 * SPDX-License-Identifier: EPL-2.0
 *
 ********************************************************************************/

#include <catch2/catch_test_macros.hpp>
#include <cmath>
#include <cstdlib>
#include <memory>

#include "aidge/utils/TensorUtils.hpp"
#include "aidge/backend/cpu/operator/ConvImpl.hpp"
#include "aidge/backend/cpu/operator/PadImpl.hpp"
#include "aidge/data/Tensor.hpp"
#include "aidge/operator/Conv.hpp"
#include "aidge/operator/MetaOperator.hpp"
#include "aidge/operator/MetaOperatorDefs.hpp"
#include "aidge/operator/Pad.hpp"
#include "aidge/operator/Pop.hpp"
#include "aidge/scheduler/SequentialScheduler.hpp"
#include "aidge/scheduler/ParallelScheduler.hpp"

using namespace Aidge;

TEST_CASE("ScalingNodeMeta", "[ScalingMeta][CPU]") {
    /*SECTION("Scaling MetaOperator")
    {
        std::shared_ptr<Tensor> t0 = std::make_shared<Tensor>(
        Array2D<float, 3, 3>{{{45, 72, 2},
                                {84.15, 144.45, 0.01484},
                                {0.62132, 17.67132, 212.132}}});
        
        auto scal = ScalingMeta(2,8,false);
        auto scalop = std::static_pointer_cast<OperatorTensor>(scal->getOperator());
        t0->setBackend("cpu");
        scalop->associateInput(0,t0);
        scalop->setBackend("cpu");
        scalop->forwardDims();
        scalop->forward();
        //auto sf = scalop -> getInput(1);
        auto out0 = scalop->getOutput(0);
        auto in0 = scalop->getInput(0);
        auto in1 = scalop->getInput(1);
        std::cout << "in0 is: ";
        in0->print();
        std::cout << "in1 is: ";
        in1->print();
        std::cout << "output is: " ;
        out0->print();
    }*/
    SECTION("MulPTQ")
    {
        std::shared_ptr<Tensor> t0 = std::make_shared<Tensor>(
        Array2D<float, 3, 3>{{{45, 72, 2},
                                {84.15, 144.45, 0.01484},
                                {0.62132, 17.67132, 212.132}}});
        
        auto scal = MulPTQ(2.001);
        auto scalop = std::static_pointer_cast<OperatorTensor>(scal->getOperator());
        t0->setBackend("cpu");
        scal->getOperator()->associateInput(0,t0);

        auto g = getConnectedGraphView(scal);
        g->setDataType(DataType::Float32);
        g->setBackend("cpu");

        auto scheduler = SequentialScheduler(g);
        scheduler.forward();

        auto out0 = scalop->getOutput(0);
        auto in0 = scalop->getInput(0);
        auto in1 = scalop->getInput(1);
        std::cout << "in0 is: ";
        in0->print();
        std::cout << "in1 is: ";
        in1->print();
        std::cout << "output is: " ;
        out0->print();
    }
}