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