From 88e160aaf2fda14e72f40e85c5f6399056038c7e Mon Sep 17 00:00:00 2001
From: hrouis <houssemeddine.rouis92@gmail.com>
Date: Mon, 2 Sep 2024 14:51:24 +0200
Subject: [PATCH] add forwardDims unit tests for And operator
---
unit_tests/operator/Test_AndImpl.cpp | 81 ++++++++++++++++++++++++++++
1 file changed, 81 insertions(+)
diff --git a/unit_tests/operator/Test_AndImpl.cpp b/unit_tests/operator/Test_AndImpl.cpp
index f1620d7d..988c0a93 100644
--- a/unit_tests/operator/Test_AndImpl.cpp
+++ b/unit_tests/operator/Test_AndImpl.cpp
@@ -10,6 +10,7 @@
********************************************************************************/
#include <catch2/catch_test_macros.hpp>
+#include <random> // std::random_device, std::mt19937, std::uniform_real_distribution
#include "aidge/data/Tensor.hpp"
#include "aidge/operator/And.hpp"
@@ -19,6 +20,86 @@
using namespace Aidge;
TEST_CASE("[cpu/operator] And(forward)", "[And][CPU]") {
+ SECTION("ForwardDims")
+ {
+ constexpr std::uint16_t NBTRIALS = 10;
+ // Create a random number generator
+ std::random_device rd;
+ std::mt19937 gen(rd());
+ std::uniform_real_distribution<float> valueDist(0.1f, 1.1f); // Random float distribution between 0 and 1
+ std::uniform_int_distribution<std::size_t> dimSizeDist(std::size_t(2), std::size_t(10));
+ std::uniform_int_distribution<std::size_t> nbDimsDist(std::size_t(1), std::size_t(5));
+ std::uniform_int_distribution<int> boolDist(0,1);
+
+ SECTION("Same dimensions") {
+ for (std::uint16_t trial = 0; trial < NBTRIALS; ++trial) {
+ DimSize_t nbDims = nbDimsDist(gen);
+ std::vector<DimSize_t> dims(nbDims);
+ for (std::size_t i = 0; i < nbDims; i++) {
+ dims[i] = dimSizeDist(gen);
+ }
+
+ std::shared_ptr<Tensor> myInput1 = std::make_shared<Tensor>(dims);
+ myInput1->setBackend("cpu");
+ myInput1->setDataType(DataType::Float32);
+ myInput1->zeros();
+ std::shared_ptr<Tensor> myInput2 = std::make_shared<Tensor>(dims);
+ myInput2->setBackend("cpu");
+ myInput2->setDataType(DataType::Float32);
+ myInput2->zeros();
+ std::shared_ptr<Node> myAnd = And();
+ auto op = std::static_pointer_cast<OperatorTensor>(myAnd -> getOperator());
+ op->associateInput(0,myInput1);
+ op->associateInput(1,myInput2);
+ op->setDataType(DataType::Float32);
+ op->setBackend("cpu");
+ op->forwardDims();
+
+ const auto outputDims = op->getOutput(0)->dims();
+ REQUIRE(outputDims == dims);
+ }
+ }
+ SECTION("Broadcasting") {
+ for (std::uint16_t trial = 0; trial < NBTRIALS; ++trial) {
+ DimSize_t nbDims = nbDimsDist(gen);
+ std::vector<DimSize_t> dims1(nbDims, 1);
+ std::vector<DimSize_t> dims2(nbDims, 1);
+ std::vector<DimSize_t> expectedOutDims;
+ std::uniform_int_distribution<int> boolDist(0,1);
+ for (std::size_t i = 0; i < nbDims; i++) {
+ DimSize_t dim = dimSizeDist(gen);
+ if (boolDist(gen)) {
+ dims1[i] = dim;
+ }
+ if (boolDist(gen)) {
+ dims2[i] = dim;
+ }
+ expectedOutDims.push_back(std::max(dims1[i],dims2[i]));
+ }
+
+
+ std::shared_ptr<Tensor> myInput1 = std::make_shared<Tensor>(dims1);
+ myInput1->setBackend("cpu");
+ myInput1->setDataType(DataType::Float32);
+ myInput1->zeros();
+ std::shared_ptr<Tensor> myInput2 = std::make_shared<Tensor>(dims2);
+ myInput2->setBackend("cpu");
+ myInput2->setDataType(DataType::Float32);
+ myInput2->zeros();
+ std::shared_ptr<Node> myAnd = And();
+ auto op = std::static_pointer_cast<OperatorTensor>(myAnd -> getOperator());
+ op->associateInput(0,myInput1);
+ op->associateInput(1,myInput2);
+ op->setDataType(DataType::Float32);
+ op->setBackend("cpu");
+
+ op->forwardDims();
+
+ const auto outputDims = op->getOutput(0)->dims();
+ REQUIRE(outputDims == expectedOutDims);
+ }
+ }
+ }
SECTION("Same size inputs") {
std::shared_ptr<Tensor> input1 = std::make_shared<Tensor>(Array4D<int,3,3,3,2> {
{ //
--
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