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

catch/unit/module/hipModuleLoadMultiThreaded.cc

@@ -0,0 +1,121 @@
+/*
+Copyright (c) 2021 Advanced Micro Devices, Inc. All rights reserved.
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+The above copyright notice and this permission notice shall be included in
+all copies or substantial portions of the Software.
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.  IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+THE SOFTWARE.
+*/
+
+/*
+This testcase verifies hipModuleLoad API in multithreaded scenario 
+*/
+#include <stdio.h>
+#include "hip/hip_runtime.h"
+#if HT_AMD
+#include "hip/hip_ext.h"
+#endif
+#include <fstream>
+#include <algorithm>
+#include <atomic>
+#include <functional>
+#include <vector>
+#include <future>
+#define THREADS 8
+#define MAX_NUM_THREADS 128
+
+#include "hip_test_common.hh"
+#include "hip_test_checkers.hh"
+
+#define NUM_GROUPS 1
+#define GROUP_SIZE 1
+#define WARMUP_RUN_COUNT 10
+#define TIMING_RUN_COUNT 100
+#define TOTAL_RUN_COUNT WARMUP_RUN_COUNT + TIMING_RUN_COUNT
+#define FILENAME "module_kernels.code"
+#define kernel_name "EmptyKernel"
+
+/*
+This thread function loads the kernel file , synchronizes the threads
+and Launches the kernel .
+*/
+void hipModuleLaunchKernel_enqueue(std::atomic_int* shared, int max_threads) {
+    // resources necessary for this thread
+    hipStream_t stream;
+    HIPCHECK(hipStreamCreate(&stream));
+    hipModule_t module;
+    hipFunction_t function;
+
+    HIPCHECK(hipModuleLoad(&module, FILENAME));
+    HIPCHECK(hipModuleGetFunction(&function, module, kernel_name));
+
+    void* kernel_params = nullptr;
+
+    // synchronize all threads, before running
+    shared->fetch_add(1, std::memory_order_release);
+    while (max_threads != shared->load(std::memory_order_acquire)) {}
+
+    for (auto i = 0; i < TOTAL_RUN_COUNT; ++i) {
+        HIPCHECK(hipModuleLaunchKernel(function, 1, 1,
+                                       1, 1, 1, 1, 0, stream,
+                                       &kernel_params, nullptr));
+    }
+    HIPCHECK(hipModuleUnload(module));
+    HIPCHECK(hipStreamDestroy(stream));
+}
+
+/*
+thread pool class contains launching the threads using std::async API
+with future variable "threads".
+The start API Launches the threads and finish API waits for the
+thread execution to end.
+*/
+struct thread_pool {
+  explicit thread_pool(int total_threads) : max_threads(total_threads) {
+  }
+  void start(std::function<void(std::atomic_int*, int)> f) {
+    for (int i = 0; i < max_threads; ++i) {
+      threads.push_back(std::async(std::launch::async, f,
+                                   &shared, max_threads));
+    }
+  }
+  void finish() {
+    for (auto&&thread : threads) {
+      thread.get();
+    }
+    threads.clear();
+    shared = 0;
+  }
+  ~thread_pool() {
+    finish();
+  }
+ private:
+  std::atomic_int shared {0};
+  std::vector<char> buffer;
+  std::vector<std::future<void>> threads;
+  int max_threads = 1;
+};
+
+/*
+This testcase verifies the Multithreaded scenario of hipModule API
+where in threadpool object is created and the object invokes start API
+which launches multiple threads where each thread loads the kernel object
+using hipModuleLoad API and launches the kernel in parallel.
+*/
+TEST_CASE("Unit_hipModuleLoad_MultiThread") {
+    int max_threads = min(THREADS * std::thread::hardware_concurrency(),
+                          MAX_NUM_THREADS);
+    thread_pool task(max_threads);
+    task.start(hipModuleLaunchKernel_enqueue);
+    task.finish();
+}