stable-diffusion-webui
119 строк · 4.3 Кб
1from functools import wraps2import html3import time4
5from modules import shared, progress, errors, devices, fifo_lock6
7queue_lock = fifo_lock.FIFOLock()8
9
10def wrap_queued_call(func):11def f(*args, **kwargs):12with queue_lock:13res = func(*args, **kwargs)14
15return res16
17return f18
19
20def wrap_gradio_gpu_call(func, extra_outputs=None):21@wraps(func)22def f(*args, **kwargs):23
24# if the first argument is a string that says "task(...)", it is treated as a job id25if args and type(args[0]) == str and args[0].startswith("task(") and args[0].endswith(")"):26id_task = args[0]27progress.add_task_to_queue(id_task)28else:29id_task = None30
31with queue_lock:32shared.state.begin(job=id_task)33progress.start_task(id_task)34
35try:36res = func(*args, **kwargs)37progress.record_results(id_task, res)38finally:39progress.finish_task(id_task)40
41shared.state.end()42
43return res44
45return wrap_gradio_call(f, extra_outputs=extra_outputs, add_stats=True)46
47
48def wrap_gradio_call(func, extra_outputs=None, add_stats=False):49@wraps(func)50def f(*args, extra_outputs_array=extra_outputs, **kwargs):51run_memmon = shared.opts.memmon_poll_rate > 0 and not shared.mem_mon.disabled and add_stats52if run_memmon:53shared.mem_mon.monitor()54t = time.perf_counter()55
56try:57res = list(func(*args, **kwargs))58except Exception as e:59# When printing out our debug argument list,60# do not print out more than a 100 KB of text61max_debug_str_len = 13107262message = "Error completing request"63arg_str = f"Arguments: {args} {kwargs}"[:max_debug_str_len]64if len(arg_str) > max_debug_str_len:65arg_str += f" (Argument list truncated at {max_debug_str_len}/{len(arg_str)} characters)"66errors.report(f"{message}\n{arg_str}", exc_info=True)67
68shared.state.job = ""69shared.state.job_count = 070
71if extra_outputs_array is None:72extra_outputs_array = [None, '']73
74error_message = f'{type(e).__name__}: {e}'75res = extra_outputs_array + [f"<div class='error'>{html.escape(error_message)}</div>"]76
77devices.torch_gc()78
79shared.state.skipped = False80shared.state.interrupted = False81shared.state.stopping_generation = False82shared.state.job_count = 083
84if not add_stats:85return tuple(res)86
87elapsed = time.perf_counter() - t88elapsed_m = int(elapsed // 60)89elapsed_s = elapsed % 6090elapsed_text = f"{elapsed_s:.1f} sec."91if elapsed_m > 0:92elapsed_text = f"{elapsed_m} min. "+elapsed_text93
94if run_memmon:95mem_stats = {k: -(v//-(1024*1024)) for k, v in shared.mem_mon.stop().items()}96active_peak = mem_stats['active_peak']97reserved_peak = mem_stats['reserved_peak']98sys_peak = mem_stats['system_peak']99sys_total = mem_stats['total']100sys_pct = sys_peak/max(sys_total, 1) * 100101
102toltip_a = "Active: peak amount of video memory used during generation (excluding cached data)"103toltip_r = "Reserved: total amout of video memory allocated by the Torch library "104toltip_sys = "System: peak amout of video memory allocated by all running programs, out of total capacity"105
106text_a = f"<abbr title='{toltip_a}'>A</abbr>: <span class='measurement'>{active_peak/1024:.2f} GB</span>"107text_r = f"<abbr title='{toltip_r}'>R</abbr>: <span class='measurement'>{reserved_peak/1024:.2f} GB</span>"108text_sys = f"<abbr title='{toltip_sys}'>Sys</abbr>: <span class='measurement'>{sys_peak/1024:.1f}/{sys_total/1024:g} GB</span> ({sys_pct:.1f}%)"109
110vram_html = f"<p class='vram'>{text_a}, <wbr>{text_r}, <wbr>{text_sys}</p>"111else:112vram_html = ''113
114# last item is always HTML115res[-1] += f"<div class='performance'><p class='time'>Time taken: <wbr><span class='measurement'>{elapsed_text}</span></p>{vram_html}</div>"116
117return tuple(res)118
119return f120