remove randoom tests

unit_tests/Test_AvgPoolingImpl.cpp

@@ -160,140 +160,4 @@ TEST_CASE("[gpu/operator] AvgPooling(forward)", "[AvgPooling][GPU]") {
 
         delete[] computedOutput;
     }
-
-    int number_of_operation{0};
-    SECTION("Random Input") {
-        constexpr std::uint16_t NBTRIALS = 10;
-        std::size_t kernel = 2;
-        std::size_t stride = 2;
-        // 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(4), std::size_t(4));
-
-        // Create AveragePooling Operator
-        std::shared_ptr<Node> myAvgPool = AvgPooling({kernel,kernel}, "myAvgPool", {stride,stride});
-        auto op = std::static_pointer_cast<OperatorTensor>(myAvgPool -> getOperator());
-        op->setDataType(DataType::Float32);
-        op->setBackend("cpu");
-
-        // Create the input Tensor
-        std::shared_ptr<Tensor> T0 = std::make_shared<Tensor>();
-        op->associateInput(0, T0);
-        T0->setDataType(DataType::Float32);
-        T0->setBackend("cpu");
-
-        // To measure execution time of 'AveragePooling_Op::forward()' 
-        std::chrono::time_point<std::chrono::system_clock> start;
-        std::chrono::time_point<std::chrono::system_clock> end;
-        std::chrono::duration<double, std::micro> duration{};
-        std::size_t number_of_operation = 0;
-
-        SECTION("OutDims") {
-            for (std::uint16_t trial = 0; trial < NBTRIALS; ++trial) {
-                // generate a random Tensor
-                const std::size_t nbDims = nbDimsDist(gen);
-                std::vector<std::size_t> dims;
-                for (std::size_t i = 0; i < nbDims; ++i) {
-                    dims.push_back(dimSizeDist(gen));
-                }
-                
-                const std::size_t nb_elements = std::accumulate(dims.cbegin(), dims.cend(), std::size_t(1), std::multiplies<std::size_t>());
-                number_of_operation += nb_elements;
-
-                // Fill input tensor
-                float* array0 = new float[nb_elements];
-                for (std::size_t i = 0; i < nb_elements; ++i) {
-                    array0[i] = valueDist(gen);
-                }
-                T0->resize(dims);
-                T0 -> getImpl() -> setRawPtr(array0, nb_elements);
-
-                // Run inference
-                op->computeOutputDims();
-                start = std::chrono::system_clock::now();
-                myAvgPool->forward();
-                end = std::chrono::system_clock::now();
-                duration += std::chrono::duration_cast<std::chrono::microseconds>(end - start);
-
-                // Verify output dimensions
-                REQUIRE(op->getOutput(0)->nbDims() == dims.size());
-                for (size_t i = 0; i < op->getOutput(0)->nbDims(); ++i) {
-                    if(i == 2 || i == 3)
-                        REQUIRE(op->getOutput(0)->dims()[i] == (1 + static_cast<DimSize_t>(std::floor(static_cast<float>(dims[i] - kernel) / static_cast<float>(stride)))));
-                    else
-                        REQUIRE(op->getOutput(0)->dims()[i] == dims[i]);
-                }
-        
-                delete[] array0;
-            }
-            std::cout << "number of elements over time spent: " << (number_of_operation / duration.count())<< std::endl;
-            std::cout << "total time: " << duration.count() << "μs" << std::endl;
-        }
-
-        SECTION("Values") {
-            for (std::uint16_t trial = 0; trial < NBTRIALS; ++trial) {
-                // generate a random Tensor
-                const std::size_t nbDims = nbDimsDist(gen);
-                std::vector<std::size_t> dims;
-                for (std::size_t i = 0; i < nbDims; ++i) {
-                    dims.push_back(dimSizeDist(gen));
-                }
-                
-                const std::size_t nb_elements = std::accumulate(dims.cbegin(), dims.cend(), std::size_t(1), std::multiplies<std::size_t>());
-                number_of_operation += nb_elements;
-
-                // Fill input tensor
-                float* array0 = new float[nb_elements];
-                for (std::size_t i = 0; i < nb_elements; ++i) {
-                    array0[i] = valueDist(gen);
-                }
-                T0->resize(dims);
-                T0 -> getImpl() -> setRawPtr(array0, nb_elements);
-
-                // Fill expected output
-                std::vector<float> result;
-                std::size_t rows = dims[2], cols = dims[3], nbMat = dims[0] * dims[1], matSize = rows*cols;
-                for (size_t i = 0; i < nbMat; i++)
-                {
-                    for(size_t r=0; r< rows; r += stride){
-                        for(size_t c=0; c< cols; c += stride){
-                            float sum = 0.0f;
-                            for (size_t m = 0; m < kernel; m++)
-                            {
-                                for (size_t n = 0; n < kernel; n++)
-                                {
-                                    sum += array0[i * matSize + (r + m) * cols + c + n];
-                                } 
-                            }
-                            result.push_back(sum/(kernel*kernel));
-                        }
-                    }
-                }
-
-                // Run inference
-                op->computeOutputDims();
-                start = std::chrono::system_clock::now();
-                myAvgPool->forward();
-                end = std::chrono::system_clock::now();
-                duration += std::chrono::duration_cast<std::chrono::microseconds>(end - start);
-
-                op->getOutput(0)->print();
-                float* computedOutput = static_cast<float*>(op->getOutput(0)->getImpl()->rawPtr());
-                for (size_t i = 0; i < op->getOutput(0)->size(); i++)
-                {
-                    REQUIRE(abs(computedOutput[i] - result[i]) < 1e-6);
-                }
-                
-                delete[] array0;
-            }
-            std::cout << "number of elements over time spent: " << (number_of_operation / duration.count())<< std::endl;
-            std::cout << "total time: " << duration.count() << "μs" << std::endl;
-        }
-    }
 }
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