mirror of
https://github.com/openvinotoolkit/stable-diffusion-webui.git
synced 2024-12-15 07:03:06 +03:00
118 lines
3.9 KiB
Python
118 lines
3.9 KiB
Python
import html
|
|
import sys
|
|
import threading
|
|
import traceback
|
|
import time
|
|
|
|
import gradio as gr
|
|
from modules import shared, progress
|
|
|
|
queue_lock = threading.Lock()
|
|
queue_lock_condition = threading.Condition(lock=queue_lock)
|
|
|
|
def wrap_session_call(func):
|
|
def f(request: gr.Request, *args, **kwargs):
|
|
return func(request, *args, **kwargs)
|
|
return f
|
|
|
|
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(request: gr.Request, *args, **kwargs):
|
|
user = request.username
|
|
|
|
# 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(user, id_task)
|
|
else:
|
|
id_task = None
|
|
|
|
with queue_lock:
|
|
shared.state.begin()
|
|
progress.start_task(user, id_task)
|
|
|
|
try:
|
|
res = func(*args, **kwargs)
|
|
finally:
|
|
progress.finish_task(user, id_task)
|
|
progress.set_last_task_result(user, id_task, res)
|
|
|
|
shared.state.end()
|
|
|
|
return res
|
|
|
|
return wrap_session_call(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
|
|
|