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import html | |
import sys | |
import threading | |
import traceback | |
import time | |
from modules import shared, progress | |
queue_lock = threading.Lock() | |
def wrap_queued_call(func): | |
def f(*args, **kwargs): | |
with queue_lock: | |
res = func(*args, **kwargs) | |
return res | |
return f | |
def wrap_gradio_gpu_call(func, extra_outputs=None): | |
def f(*args, **kwargs): | |
# if the first argument is a string that says "task(...)", it is treated as a job id | |
if len(args) > 0 and type(args[0]) == str and args[0][0:5] == "task(" and args[0][-1] == ")": | |
id_task = args[0] | |
progress.add_task_to_queue(id_task) | |
else: | |
id_task = None | |
with queue_lock: | |
shared.state.begin() | |
progress.start_task(id_task) | |
try: | |
res = func(*args, **kwargs) | |
finally: | |
progress.finish_task(id_task) | |
shared.state.end() | |
return res | |
return wrap_gradio_call(f, extra_outputs=extra_outputs, add_stats=True) | |
def wrap_gradio_call(func, extra_outputs=None, add_stats=False): | |
def f(*args, extra_outputs_array=extra_outputs, **kwargs): | |
run_memmon = shared.opts.memmon_poll_rate > 0 and not shared.mem_mon.disabled and add_stats | |
if run_memmon: | |
shared.mem_mon.monitor() | |
t = time.perf_counter() | |
try: | |
res = list(func(*args, **kwargs)) | |
except Exception as e: | |
# When printing out our debug argument list, do not print out more than a MB of text | |
max_debug_str_len = 131072 # (1024*1024)/8 | |
print("Error completing request", file=sys.stderr) | |
argStr = f"Arguments: {str(args)} {str(kwargs)}" | |
print(argStr[:max_debug_str_len], file=sys.stderr) | |
if len(argStr) > max_debug_str_len: | |
print(f"(Argument list truncated at {max_debug_str_len}/{len(argStr)} characters)", file=sys.stderr) | |
print(traceback.format_exc(), file=sys.stderr) | |
shared.state.job = "" | |
shared.state.job_count = 0 | |
if extra_outputs_array is None: | |
extra_outputs_array = [None, ''] | |
res = extra_outputs_array + [f"<div class='error'>{html.escape(type(e).__name__+': '+str(e))}</div>"] | |
shared.state.skipped = False | |
shared.state.interrupted = False | |
shared.state.job_count = 0 | |
if not add_stats: | |
return tuple(res) | |
elapsed = time.perf_counter() - t | |
elapsed_m = int(elapsed // 60) | |
elapsed_s = elapsed % 60 | |
elapsed_text = f"{elapsed_s:.2f}s" | |
if elapsed_m > 0: | |
elapsed_text = f"{elapsed_m}m "+elapsed_text | |
if run_memmon: | |
mem_stats = {k: -(v//-(1024*1024)) for k, v in shared.mem_mon.stop().items()} | |
active_peak = mem_stats['active_peak'] | |
reserved_peak = mem_stats['reserved_peak'] | |
sys_peak = mem_stats['system_peak'] | |
sys_total = mem_stats['total'] | |
sys_pct = round(sys_peak/max(sys_total, 1) * 100, 2) | |
vram_html = f"<p class='vram'>Torch active/reserved: {active_peak}/{reserved_peak} MiB, <wbr>Sys VRAM: {sys_peak}/{sys_total} MiB ({sys_pct}%)</p>" | |
else: | |
vram_html = '' | |
# last item is always HTML | |
res[-1] += f"<div class='performance'><p class='time'>Time taken: <wbr>{elapsed_text}</p>{vram_html}</div>" | |
return tuple(res) | |
return f | |