new wan trainer

examples/wanvideo/model_training/validate_lora/run_test.py

@@ -0,0 +1,25 @@
+import multiprocessing, os
+
+
+def run_task(scripts, thread_id, thread_num):
+    for script_id, script in enumerate(scripts):
+        if script_id % thread_num == thread_id:
+            log_file_name = script.replace("/", "_") + ".txt"
+            cmd = f"CUDA_VISIBLE_DEVICES={thread_id} python -u {script} > data/log/{log_file_name} 2>&1"
+            os.makedirs("data/log", exist_ok=True)
+            print(cmd, flush=True)
+            os.system(cmd)
+    
+
+if __name__ == "__main__":
+    scripts = []
+    for file_name in os.listdir("examples/wanvideo/model_training/validate_lora"):
+        if file_name != "run_test.py":
+            scripts.append(os.path.join("examples/wanvideo/model_training/validate_lora", file_name))
+
+    processes = [multiprocessing.Process(target=run_task, args=(scripts, i, 8)) for i in range(8)]
+    for p in processes:
+        p.start()
+    for p in processes:
+        p.join()
+    print("Done!")