SWDEV-289405 - [catch2][dtest][module] Migration of Module files to CATCH2 framework (#2351)
Migrated all module related files to CATCH2 framework and optimized to have single module kernel file Change-Id: I39aa28ef22c1b2f4d0014ca32b59b9c645b725dc
Этот коммит содержится в:
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/*
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Copyright (c) 2021 Advanced Micro Devices, Inc. All rights reserved.
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in
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all copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANNTY OF ANY KIND, EXPRESS OR
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IMPLIED, INNCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANNY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER INN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR INN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
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THE SOFTWARE.
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*/
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/*
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This testcase verifies the multithreaded scenario of
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hipModuleLoadData API on MultiGPU system
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*/
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#include <fstream>
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#include <vector>
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#include "hip_test_common.hh"
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#include "hip_test_checkers.hh"
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#define LEN 64
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#define SIZE LEN << 2
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#define THREADS 8
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#define FILENAME "module_kernels.code"
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#define kernel_name "hello_world"
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/*
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This function reads the kernel code object file into buffer
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*/
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static std::vector<char> load_file() {
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std::ifstream file(FILENAME, std::ios::binary | std::ios::ate);
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std::streamsize fsize = file.tellg();
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file.seekg(0, std::ios::beg);
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std::vector<char> buffer(fsize);
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if (!file.read(buffer.data(), fsize)) {
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INFO("could not open code object " << FILENAME);
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REQUIRE(false);
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}
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return buffer;
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}
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/*
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Thread function
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1. Loads the module using hipModuleLoadData API
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2. Initializes 2 device variables.
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3. Launches kernel which copies one data into another.
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4. validates the result and returns it to the caller using
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std::ref variable.
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*/
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static void run(const std::vector<char>& buffer, int deviceNo,
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bool &testResult) {
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hipSetDevice(deviceNo);
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hipModule_t Module;
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hipFunction_t Function;
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float *A{nullptr}, *B{nullptr}, *Ad{nullptr}, *Bd{nullptr};
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testResult = true;
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HipTest::initArrays<float>(&Ad, &Bd, nullptr,
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&A, &B, nullptr,
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LEN, false);
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HIPCHECK(hipMemcpy(Ad, A, SIZE, hipMemcpyHostToDevice));
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HIPCHECK(hipMemcpy(Bd, B, SIZE, hipMemcpyHostToDevice));
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HIPCHECK(hipModuleLoadData(&Module, &buffer[0]));
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HIPCHECK(hipModuleGetFunction(&Function, Module, kernel_name));
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hipStream_t stream;
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HIPCHECK(hipStreamCreate(&stream));
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struct {
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void* _Ad;
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void* _Bd;
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} args;
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args._Ad = static_cast<void*>(Ad);
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args._Bd = static_cast<void*>(Bd);
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size_t size = sizeof(args);
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void* config[] = {HIP_LAUNCH_PARAM_BUFFER_POINTER, &args,
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HIP_LAUNCH_PARAM_BUFFER_SIZE, &size,
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HIP_LAUNCH_PARAM_END};
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HIPCHECK(hipModuleLaunchKernel(Function, 1, 1, 1, LEN,
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1, 1, 0, stream, NULL,
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reinterpret_cast<void**>(&config)));
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HIPCHECK(hipStreamSynchronize(stream));
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HIPCHECK(hipStreamDestroy(stream));
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HIPCHECK(hipModuleUnload(Module));
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HIPCHECK(hipMemcpy(B, Bd, SIZE, hipMemcpyDeviceToHost));
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for (uint32_t i = 0; i < LEN; i++) {
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REQUIRE(A[i] == B[i]);
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}
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HipTest::freeArrays<float>(Ad, Bd, nullptr,
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A, B, nullptr,
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false);
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}
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/*
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Thread class inherited from std::thread
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*/
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struct joinable_thread : std::thread {
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template <class... Xs>
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joinable_thread(Xs&&... xs) : std::thread(std::forward<Xs>(xs)...) {} // NOLINT
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joinable_thread& operator=(joinable_thread&& other) = default;
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joinable_thread(joinable_thread&& other) = default;
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~joinable_thread() {
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if (this->joinable())
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this->join();
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}
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};
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/*
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This API is triggered form the test case where in
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1. Creates the thread object.
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2. Loops through the number of GPUs and launches multiple threads.
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*/
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static void run_multi_threads(uint32_t n, const std::vector<char>& buffer) {
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int numDevices = 0;
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HIPCHECK(hipGetDeviceCount(&numDevices));
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bool testResult = false;
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std::vector<joinable_thread> threads;
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for (int deviceNo=0; deviceNo < numDevices; ++deviceNo) {
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for (uint32_t i = 0; i < n; i++) {
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threads.emplace_back(std::thread{[&, buffer] {
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run(buffer, deviceNo, std::ref(testResult));
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}});
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}
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}
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}
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/*
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The testcase verifies the multithreaded funtionality on MGPU system
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1. Loads the kernel file by calling load_file API
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2. Gets the host thread count
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3. Creates multiple threads in parallel where in each thread initializes
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2 device variables and loads the kernel using hipModuleLoadData API.
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The kernel copies the data from one variable to another.Then the thread
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validates both the variables.
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*/
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TEST_CASE("Unit_hipModuleLoadData_MGpuMultiThread") {
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auto buffer = load_file();
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auto file_size = buffer.size() / (1024 * 1024);
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auto thread_count = HipTest::getHostThreadCount(file_size + 10);
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run_multi_threads(thread_count, buffer);
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}
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