File size: 4,493 Bytes
920fd91 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 | import os, shutil, multiprocessing, time
NUM_GPUS = 7
def script_is_processed(output_path, script):
return os.path.exists(os.path.join(output_path, script)) and "log.txt" in os.listdir(os.path.join(output_path, script))
def filter_unprocessed_tasks(script_path):
tasks = []
output_path = os.path.join("data", script_path)
for script in sorted(os.listdir(script_path)):
if not script.endswith(".sh") and not script.endswith(".py"):
continue
if script_is_processed(output_path, script):
continue
tasks.append(script)
return tasks
def run_inference(script_path):
tasks = filter_unprocessed_tasks(script_path)
output_path = os.path.join("data", script_path)
for script in tasks:
source_path = os.path.join(script_path, script)
target_path = os.path.join(output_path, script)
os.makedirs(target_path, exist_ok=True)
cmd = f"python {source_path} > {target_path}/log.txt 2>&1"
print(cmd, flush=True)
os.system(cmd)
for file_name in os.listdir("./"):
if file_name.endswith(".jpg") or file_name.endswith(".png") or file_name.endswith(".mp4"):
shutil.move(file_name, os.path.join(target_path, file_name))
def run_tasks_on_single_GPU(script_path, tasks, gpu_id, num_gpu):
output_path = os.path.join("data", script_path)
for script_id, script in enumerate(tasks):
if script_id % num_gpu != gpu_id:
continue
source_path = os.path.join(script_path, script)
target_path = os.path.join(output_path, script)
os.makedirs(target_path, exist_ok=True)
if script.endswith(".sh"):
cmd = f"CUDA_VISIBLE_DEVICES={gpu_id} bash {source_path} > {target_path}/log.txt 2>&1"
elif script.endswith(".py"):
cmd = f"CUDA_VISIBLE_DEVICES={gpu_id} python {source_path} > {target_path}/log.txt 2>&1"
print(cmd, flush=True)
os.system(cmd)
def run_train_multi_GPU(script_path):
tasks = filter_unprocessed_tasks(script_path)
output_path = os.path.join("data", script_path)
for script in tasks:
source_path = os.path.join(script_path, script)
target_path = os.path.join(output_path, script)
os.makedirs(target_path, exist_ok=True)
cmd = f"bash {source_path} > {target_path}/log.txt 2>&1"
print(cmd, flush=True)
os.system(cmd)
time.sleep(1)
def run_train_single_GPU(script_path):
tasks = filter_unprocessed_tasks(script_path)
processes = [multiprocessing.Process(target=run_tasks_on_single_GPU, args=(script_path, tasks, i, NUM_GPUS)) for i in range(NUM_GPUS)]
for p in processes:
p.start()
for p in processes:
p.join()
def move_files(prefix, target_folder):
os.makedirs(target_folder, exist_ok=True)
os.system(f"cp -r {prefix}* {target_folder}")
os.system(f"rm -rf {prefix}*")
def test_qwen_image():
run_inference("examples/qwen_image/model_inference")
run_inference("examples/qwen_image/model_inference_low_vram")
run_train_multi_GPU("examples/qwen_image/model_training/full")
run_inference("examples/qwen_image/model_training/validate_full")
run_train_single_GPU("examples/qwen_image/model_training/lora")
run_inference("examples/qwen_image/model_training/validate_lora")
def test_wan():
run_train_single_GPU("examples/wanvideo/model_inference")
move_files("video_", "data/output/model_inference")
run_train_single_GPU("examples/wanvideo/model_inference_low_vram")
move_files("video_", "data/output/model_inference_low_vram")
run_train_multi_GPU("examples/wanvideo/model_training/full")
run_train_single_GPU("examples/wanvideo/model_training/validate_full")
move_files("video_", "data/output/validate_full")
run_train_single_GPU("examples/wanvideo/model_training/lora")
run_train_single_GPU("examples/wanvideo/model_training/validate_lora")
move_files("video_", "data/output/validate_lora")
def test_flux():
run_inference("examples/flux/model_inference")
run_inference("examples/flux/model_inference_low_vram")
run_train_multi_GPU("examples/flux/model_training/full")
run_inference("examples/flux/model_training/validate_full")
run_train_single_GPU("examples/flux/model_training/lora")
run_inference("examples/flux/model_training/validate_lora")
if __name__ == "__main__":
test_qwen_image()
test_flux()
test_wan()
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