/********************************************************************************
* 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 <memory>
#include <string>
#include "aidge/data/Tensor.hpp"
#include "aidge/graph/Node.hpp"
#include "aidge/graph/GraphView.hpp"
#include "aidge/graph/OpArgs.hpp"
#include "aidge/scheduler/Scheduler.hpp"
#include "aidge_cpu.hpp"
using namespace Aidge;
TEST_CASE("[cpu/scheduler] SequentialScheduler(forward)") {
std::shared_ptr<Tensor> inputTensor =
std::make_shared<Tensor>(Array4D<int, 2, 1, 5, 5>{{{{{0, 1, 2, 3, 4},
{5, 6, 7, 8, 9},
{10, 11, 12, 13, 14},
{15, 16, 17, 18, 19},
{20, 21, 22, 23, 24}}},
{{{25, 26, 27, 28, 29},
{30, 31, 32, 33, 34},
{35, 36, 37, 38, 39},
{40, 41, 42, 43, 44},
{45, 46, 47, 48, 49}}}}});
std::shared_ptr<Tensor> weight1 = std::make_shared<Tensor>(
Array4D<int, 3, 1, 3, 3>{{{{{1, 2, 3}, {4, 5, 6}, {7, 8, 9}}},
{{{10, 11, 12}, {13, 14, 15}, {16, 17, 18}}},
{{{19, 20, 21}, {22, 23, 24}, {25, 26, 27}}}}});
std::shared_ptr<Tensor> bias1 = std::make_shared<Tensor>(Array1D<int, 3>{{1, 2, 3}});
SECTION("Test Sequential graph") {
std::shared_ptr<GraphView> g =
Sequential({
Conv(1, 3, {3, 3}, "conv1"),
Conv(3, 4, {1, 1}, "conv2"),
Conv(4, 3, {1, 1}, "conv3"),
FC(5, false, "fc")});
g->setDatatype(Aidge::DataType::Int32);
g->setBackend("cpu");
g->getNode("conv1")->getOperator()->input(0) = *inputTensor;
g->getNode("conv1")->getOperator()->input(1) = *weight1;
g->getNode("conv1")->getOperator()->input(2) = *bias1;
std::shared_ptr<Tensor> weight2 =
std::make_shared<Tensor>(Array4D<int, 4, 3, 1, 1>{{{{{1}}, {{2}}, {{3}}},
{{{4}}, {{5}}, {{6}}},
{{{7}}, {{8}}, {{9}}},
{{{10}}, {{11}}, {{12}}}}});
std::shared_ptr<Tensor> bias2 = std::make_shared<Tensor>(Array1D<int, 4>{{1, 2, 3, 4}});
g->getNode("conv2")->getOperator()->input(1) = *weight2;
g->getNode("conv2")->getOperator()->input(2) = *bias2;
// *(g->getNode("conv2")->getOperator()->input(1, weight2);
std::shared_ptr<Tensor> weight3 = std::make_shared<Tensor>(
Array4D<int, 3, 4, 1, 1>{{{{{1}}, {{2}}, {{3}}, {{4}}},
{{{5}}, {{6}}, {{7}}, {{8}}},
{{{9}}, {{10}}, {{11}}, {{12}}}}});
std::shared_ptr<Tensor> bias3 = std::make_shared<Tensor>(Array1D<int, 3>{{1, 2, 3}});
g->getNode("conv3")->getOperator()->input(1) = *weight3;
g->getNode("conv3")->getOperator()->input(2) = *bias3;
std::shared_ptr<Tensor> weightfc = std::make_shared<Tensor>(
Array2D<int, 5, 27>{{{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14,
15, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12},
{13, 14, 15, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11,
12, 13, 14, 15, 1, 2, 3, 4, 5, 6, 7, 8, 9},
{10, 11, 12, 13, 14, 15, 1, 2, 3, 4, 5, 6, 7, 8,
9, 10, 11, 12, 13, 14, 15, 1, 2, 3, 4, 5, 6},
{7, 8, 9, 10, 11, 12, 13, 14, 15, 1, 2, 3, 4, 5,
6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 1, 2, 3},
{4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 1, 2,
3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15}}});
std::shared_ptr<Tensor> biasfc = std::make_shared<Tensor>(Array1D<int, 5>{{1, 2, 3, 4, 5}});
g->getNode("fc")->getOperator()->input(1) = *weightfc;
g->getNode("fc")->getOperator()->input(2) = *biasfc;
// input->addChild(g);
g->forwardDims();
SequentialScheduler scheduler(g);
REQUIRE_NOTHROW(scheduler.forward());
scheduler.saveSchedulingDiagram("schedulingSequential");
std::shared_ptr<Tensor> expectedOutput1 = std::make_shared<Tensor>(Array4D<int, 2, 3, 3, 3>{
{{{{367, 412, 457}, {592, 637, 682}, {817, 862, 907}},
{{854, 980, 1106}, {1484, 1610, 1736}, {2114, 2240, 2366}},
{{1341, 1548, 1755}, {2376, 2583, 2790}, {3411, 3618, 3825}}},
{{{1492, 1537, 1582}, {1717, 1762, 1807}, {1942, 1987, 2032}},
{{4004, 4130, 4256}, {4634, 4760, 4886}, {5264, 5390, 5516}},
{{6516, 6723, 6930}, {7551, 7758, 7965}, {8586, 8793, 9000}}}}});
std::shared_ptr<Tensor> expectedOutput2 = std::make_shared<Tensor>(Array4D<int, 2, 4, 3, 3>{
{{{{6099, 7017, 7935}, {10689, 11607, 12525}, {15279, 16197, 17115}},
{{13786, 15838, 17890}, {24046, 26098, 28150}, {34306, 36358, 38410}},
{{21473, 24659, 27845}, {37403, 40589, 43775}, {53333, 56519, 59705}},
{{29160, 33480, 37800}, {50760, 55080, 59400}, {72360, 76680, 81000}}},
{{{29049, 29967, 30885}, {33639, 34557, 35475}, {38229, 39147, 40065}},
{{65086, 67138, 69190}, {75346, 77398, 79450}, {85606, 87658, 89710}},
{{101123, 104309, 107495}, {117053, 120239, 123425}, {132983, 136169, 139355}},
{{137160, 141480, 145800}, {158760, 163080, 167400}, {180360, 184680, 189000}}}}});
std::shared_ptr<Tensor> expectedOutput3 = std::make_shared<Tensor>(Array4D<int, 2, 3, 3, 3>{
{{{{214731, 246591, 278451}, {374031, 405891, 437751}, {533331, 565191, 597051}},
{{496804, 570568, 644332}, {865624, 939388, 1013152}, {1234444, 1308208, 1381972}},
{{778877, 894545, 1010213}, {1357217, 1472885, 1588553}, {1935557, 2051225, 2166893}}},
{{{1011231, 1043091, 1074951}, {1170531, 1202391, 1234251}, {1329831, 1361691, 1393551}},
{{2340904, 2414668, 2488432}, {2709724, 2783488, 2857252}, {3078544, 3152308, 3226072}},
{{3670577, 3786245, 3901913}, {4248917, 4364585, 4480253}, {4827257, 4942925, 5058593}}}}});
Tensor expectedOutput4 = Array2D<int, 2, 5>{
{{205050376, 198925904, 181355097, 196978090, 238868348},
{598467376, 561797804, 560823897, 593043790, 698672948}}};
Tensor other1 = g->getNode("conv1")->getOperator()->output(0);
bool equal1 = (other1 == *expectedOutput1);
REQUIRE(equal1);
Tensor other2 = g->getNode("conv2")->getOperator()->output(0);
bool equal2 = (other2 == *expectedOutput2);
REQUIRE(equal2);
Tensor other3 = g->getNode("conv3")->getOperator()->output(0);
bool equal3 = (other3 == *expectedOutput3);
REQUIRE(equal3);
Tensor other4 = g->getNode("fc")->getOperator()->output(0);
bool equal4 = (other4 == expectedOutput4);
REQUIRE(equal4);
}
SECTION("Test Parallel graph") {
std::shared_ptr<GraphView> g =
Sequential({Conv(1, 3, {3, 3}, "inputConv"),
Parallel({
Conv(3, 3, {1, 1}, "conv1.1"),
Conv(3, 3, {1, 1}, "conv1.2"),
Conv(3, 3, {1, 1}, "conv1.3")}),
Add<3>("add1"),
Conv(3, 2, {1, 1}, "conv2"),
FC(5, false, "out")});
g->setBackend("cpu");
g->setDatatype(Aidge::DataType::Int32);
g->getNode("inputConv")->getOperator()->input(0) = *inputTensor;
g->getNode("inputConv")->getOperator()->input(1) = *weight1;
g->getNode("inputConv")->getOperator()->input(2) = *bias1;
std::shared_ptr<Tensor> conv11Weight = std::make_shared<Tensor>(Array4D<int, 3, 3, 1, 1>{
{{{{1}}, {{2}}, {{3}}}, {{{4}}, {{5}}, {{6}}}, {{{7}}, {{8}}, {{9}}}}});
g->getNode("conv1.1")->getOperator()->input(1) = *conv11Weight;
g->getNode("conv1.1")->getOperator()->input(2) = *bias1;
std::shared_ptr<Tensor> conv12Weight = std::make_shared<Tensor>(Array4D<int, 3, 3, 1, 1>{
{{{{11}}, {{12}}, {{13}}}, {{{14}}, {{15}}, {{16}}}, {{{17}}, {{18}}, {{19}}}}});
g->getNode("conv1.2")->getOperator()->input(1) = *conv12Weight;
g->getNode("conv1.2")->getOperator()->input(2) = *bias1;
std::shared_ptr<Tensor> conv13Weight = std::make_shared<Tensor>(Array4D<int, 3, 3, 1, 1>{
{{{{21}}, {{22}}, {{23}}}, {{{24}}, {{25}}, {{26}}}, {{{27}}, {{28}}, {{29}}}}});
g->getNode("conv1.3")->getOperator()->input(1) = *conv13Weight;
g->getNode("conv1.3")->getOperator()->input(2) = *bias1;
std::shared_ptr<Tensor> conv2Weight = std::make_shared<Tensor>(
Array4D<int, 2, 3, 1, 1>{{{{{1}}, {{2}}, {{3}}}, {{{4}}, {{5}}, {{6}}}}});
std::shared_ptr<Tensor> bias2 = std::make_shared<Tensor>(Array1D<int, 2>{{1, 2}});
g->getNode("conv2")->getOperator()->input(1) = *conv2Weight;
g->getNode("conv2")->getOperator()->input(2) = *bias2;
std::shared_ptr<Tensor> fcWeight = std::make_shared<Tensor>(
Array2D<int, 5, 18>{{{1, 2, 3, 4, 5, 1, 2, 3, 4, 5, 1, 2, 3, 4, 5, 1, 2, 3},
{4, 5, 1, 2, 3, 4, 5, 1, 2, 3, 4, 5, 1, 2, 3, 4, 5, 1},
{2, 3, 4, 5, 1, 2, 3, 4, 5, 1, 2, 3, 4, 5, 1, 2, 3, 4},
{5, 1, 2, 3, 4, 5, 1, 2, 3, 4, 5, 1, 2, 3, 4, 5, 1, 2},
{3, 4, 5, 1, 2, 3, 4, 5, 1, 2, 3, 4, 5, 1, 2, 3, 4, 5}}});
std::shared_ptr<Tensor> fcBias = std::make_shared<Tensor>(Array1D<int, 5>{{1, 2, 3, 4, 5}});
g->getNode("out")->getOperator()->input(1) = *fcWeight;
g->getNode("out")->getOperator()->input(2) = *fcBias;
std::shared_ptr<Tensor> expectedOutput = std::make_shared<Tensor>(
Array2D<int, 2, 5>{{{124324368, 130692907, 133325056, 125044620, 142843879},
{369195468, 394615207, 382643056, 379441320, 416291779}}});
g->forwardDims();
SequentialScheduler scheduler(g);
REQUIRE_NOTHROW(scheduler.forward());
scheduler.saveSchedulingDiagram("schedulingSequential");
std::shared_ptr<Tensor> result =
std::static_pointer_cast<Tensor>(g->getNode("out")->getOperator()->getOutput(0));
bool equal = (*result == *expectedOutput);
REQUIRE(equal);
}
SECTION("Test Residual graph") {
}
SECTION("Test Recurrent graph") {}
}