mirror of
https://github.com/easydiffusion/easydiffusion.git
synced 2024-11-23 00:33:28 +01:00
610 lines
24 KiB
Python
610 lines
24 KiB
Python
"""task_manager.py: manage tasks dispatching and render threads.
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Notes:
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render_threads should be the only hard reference held by the manager to the threads.
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Use weak_thread_data to store all other data using weak keys.
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This will allow for garbage collection after the thread dies.
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"""
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import json
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import traceback
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TASK_TTL = 15 * 60 # seconds, Discard last session's task timeout
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import torch
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import queue, threading, time, weakref
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from typing import Any, Generator, Hashable, Optional, Union
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from pydantic import BaseModel
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from sd_internal import Request, Response, runtime, device_manager
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THREAD_NAME_PREFIX = 'Runtime-Render/'
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ERR_LOCK_FAILED = ' failed to acquire lock within timeout.'
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LOCK_TIMEOUT = 15 # Maximum locking time in seconds before failing a task.
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# It's better to get an exception than a deadlock... ALWAYS use timeout in critical paths.
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DEVICE_START_TIMEOUT = 60 # seconds - Maximum time to wait for a render device to init.
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class SymbolClass(type): # Print nicely formatted Symbol names.
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def __repr__(self): return self.__qualname__
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def __str__(self): return self.__name__
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class Symbol(metaclass=SymbolClass): pass
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class ServerStates:
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class Init(Symbol): pass
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class LoadingModel(Symbol): pass
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class Online(Symbol): pass
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class Rendering(Symbol): pass
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class Unavailable(Symbol): pass
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class RenderTask(): # Task with output queue and completion lock.
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def __init__(self, req: Request):
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req.request_id = id(self)
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self.request: Request = req # Initial Request
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self.response: Any = None # Copy of the last reponse
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self.render_device = None # Select the task affinity. (Not used to change active devices).
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self.temp_images:list = [None] * req.num_outputs * (1 if req.show_only_filtered_image else 2)
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self.error: Exception = None
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self.lock: threading.Lock = threading.Lock() # Locks at task start and unlocks when task is completed
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self.buffer_queue: queue.Queue = queue.Queue() # Queue of JSON string segments
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async def read_buffer_generator(self):
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try:
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while not self.buffer_queue.empty():
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res = self.buffer_queue.get(block=False)
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self.buffer_queue.task_done()
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yield res
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except queue.Empty as e: yield
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@property
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def status(self):
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if self.lock.locked():
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return 'running'
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if isinstance(self.error, StopAsyncIteration):
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return 'stopped'
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if self.error:
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return 'error'
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if not self.buffer_queue.empty():
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return 'buffer'
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if self.response:
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return 'completed'
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return 'pending'
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@property
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def is_pending(self):
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return bool(not self.response and not self.error)
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# defaults from https://huggingface.co/blog/stable_diffusion
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class ImageRequest(BaseModel):
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session_id: str = "session"
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prompt: str = ""
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negative_prompt: str = ""
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init_image: str = None # base64
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mask: str = None # base64
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num_outputs: int = 1
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num_inference_steps: int = 50
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guidance_scale: float = 7.5
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width: int = 512
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height: int = 512
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seed: int = 42
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prompt_strength: float = 0.8
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sampler: str = None # "ddim", "plms", "heun", "euler", "euler_a", "dpm2", "dpm2_a", "lms"
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# allow_nsfw: bool = False
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save_to_disk_path: str = None
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turbo: bool = True
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use_cpu: bool = False ##TODO Remove after UI and plugins transition.
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render_device: str = None # Select the task affinity. (Not used to change active devices).
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use_full_precision: bool = False
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use_face_correction: str = None # or "GFPGANv1.3"
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use_upscale: str = None # or "RealESRGAN_x4plus" or "RealESRGAN_x4plus_anime_6B"
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use_stable_diffusion_model: str = "sd-v1-4"
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use_vae_model: str = None
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use_hypernetwork_model: str = None
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hypernetwork_strength: float = None
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show_only_filtered_image: bool = False
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output_format: str = "jpeg" # or "png"
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output_quality: int = 75
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stream_progress_updates: bool = False
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stream_image_progress: bool = False
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class FilterRequest(BaseModel):
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session_id: str = "session"
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model: str = None
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name: str = ""
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init_image: str = None # base64
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width: int = 512
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height: int = 512
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save_to_disk_path: str = None
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turbo: bool = True
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render_device: str = None
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use_full_precision: bool = False
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output_format: str = "jpeg" # or "png"
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output_quality: int = 75
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# Temporary cache to allow to query tasks results for a short time after they are completed.
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class DataCache():
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def __init__(self):
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self._base = dict()
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self._lock: threading.Lock = threading.Lock()
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def _get_ttl_time(self, ttl: int) -> int:
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return int(time.time()) + ttl
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def _is_expired(self, timestamp: int) -> bool:
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return int(time.time()) >= timestamp
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def clean(self) -> None:
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if not self._lock.acquire(blocking=True, timeout=LOCK_TIMEOUT): raise Exception('DataCache.clean' + ERR_LOCK_FAILED)
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try:
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# Create a list of expired keys to delete
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to_delete = []
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for key in self._base:
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ttl, _ = self._base[key]
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if self._is_expired(ttl):
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to_delete.append(key)
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# Remove Items
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for key in to_delete:
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(_, val) = self._base[key]
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if isinstance(val, RenderTask):
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print(f'RenderTask {key} expired. Data removed.')
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elif isinstance(val, SessionState):
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print(f'Session {key} expired. Data removed.')
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else:
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print(f'Key {key} expired. Data removed.')
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del self._base[key]
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finally:
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self._lock.release()
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def clear(self) -> None:
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if not self._lock.acquire(blocking=True, timeout=LOCK_TIMEOUT): raise Exception('DataCache.clear' + ERR_LOCK_FAILED)
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try: self._base.clear()
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finally: self._lock.release()
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def delete(self, key: Hashable) -> bool:
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if not self._lock.acquire(blocking=True, timeout=LOCK_TIMEOUT): raise Exception('DataCache.delete' + ERR_LOCK_FAILED)
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try:
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if key not in self._base:
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return False
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del self._base[key]
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return True
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finally:
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self._lock.release()
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def keep(self, key: Hashable, ttl: int) -> bool:
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if not self._lock.acquire(blocking=True, timeout=LOCK_TIMEOUT): raise Exception('DataCache.keep' + ERR_LOCK_FAILED)
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try:
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if key in self._base:
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_, value = self._base.get(key)
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self._base[key] = (self._get_ttl_time(ttl), value)
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return True
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return False
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finally:
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self._lock.release()
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def put(self, key: Hashable, value: Any, ttl: int) -> bool:
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if not self._lock.acquire(blocking=True, timeout=LOCK_TIMEOUT): raise Exception('DataCache.put' + ERR_LOCK_FAILED)
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try:
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self._base[key] = (
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self._get_ttl_time(ttl), value
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)
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except Exception as e:
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print(str(e))
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print(traceback.format_exc())
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return False
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else:
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return True
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finally:
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self._lock.release()
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def tryGet(self, key: Hashable) -> Any:
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if not self._lock.acquire(blocking=True, timeout=LOCK_TIMEOUT): raise Exception('DataCache.tryGet' + ERR_LOCK_FAILED)
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try:
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ttl, value = self._base.get(key, (None, None))
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if ttl is not None and self._is_expired(ttl):
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print(f'Session {key} expired. Discarding data.')
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del self._base[key]
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return None
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return value
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finally:
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self._lock.release()
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manager_lock = threading.RLock()
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render_threads = []
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current_state = ServerStates.Init
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current_state_error:Exception = None
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current_model_path = None
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current_vae_path = None
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current_hypernetwork_path = None
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tasks_queue = []
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session_cache = DataCache()
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task_cache = DataCache()
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default_model_to_load = None
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default_vae_to_load = None
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default_hypernetwork_to_load = None
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weak_thread_data = weakref.WeakKeyDictionary()
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idle_event: threading.Event = threading.Event()
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class SessionState():
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def __init__(self, id: str):
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self._id = id
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self._tasks_ids = []
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@property
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def id(self):
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return self._id
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@property
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def tasks(self):
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tasks = []
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for task_id in self._tasks_ids:
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task = task_cache.tryGet(task_id)
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if task:
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tasks.append(task)
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return tasks
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def put(self, task, ttl=TASK_TTL):
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task_id = id(task)
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self._tasks_ids.append(task_id)
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if not task_cache.put(task_id, task, ttl):
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return False
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while len(self._tasks_ids) > len(render_threads) * 2:
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self._tasks_ids.pop(0)
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return True
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def preload_model(ckpt_file_path=None, vae_file_path=None, hypernetwork_file_path=None):
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global current_state, current_state_error, current_model_path, current_vae_path, current_hypernetwork_path
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if ckpt_file_path == None:
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ckpt_file_path = default_model_to_load
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if vae_file_path == None:
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vae_file_path = default_vae_to_load
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if hypernetwork_file_path == None:
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hypernetwork_file_path = default_hypernetwork_to_load
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if ckpt_file_path == current_model_path and vae_file_path == current_vae_path:
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return
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current_state = ServerStates.LoadingModel
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try:
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from . import runtime
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runtime.thread_data.hypernetwork_file = hypernetwork_file_path
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runtime.thread_data.ckpt_file = ckpt_file_path
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runtime.thread_data.vae_file = vae_file_path
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runtime.load_model_ckpt()
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runtime.load_hypernetwork()
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current_model_path = ckpt_file_path
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current_vae_path = vae_file_path
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current_hypernetwork_path = hypernetwork_file_path
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current_state_error = None
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current_state = ServerStates.Online
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except Exception as e:
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current_model_path = None
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current_vae_path = None
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current_state_error = e
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current_state = ServerStates.Unavailable
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print(traceback.format_exc())
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def thread_get_next_task():
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from . import runtime
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if not manager_lock.acquire(blocking=True, timeout=LOCK_TIMEOUT):
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print('Render thread on device', runtime.thread_data.device, 'failed to acquire manager lock.')
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return None
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if len(tasks_queue) <= 0:
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manager_lock.release()
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return None
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task = None
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try: # Select a render task.
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for queued_task in tasks_queue:
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if queued_task.render_device and runtime.thread_data.device != queued_task.render_device:
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# Is asking for a specific render device.
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if is_alive(queued_task.render_device) > 0:
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continue # requested device alive, skip current one.
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else:
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# Requested device is not active, return error to UI.
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queued_task.error = Exception(queued_task.render_device + ' is not currently active.')
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task = queued_task
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break
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if not queued_task.render_device and runtime.thread_data.device == 'cpu' and is_alive() > 1:
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# not asking for any specific devices, cpu want to grab task but other render devices are alive.
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continue # Skip Tasks, don't run on CPU unless there is nothing else or user asked for it.
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task = queued_task
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break
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if task is not None:
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del tasks_queue[tasks_queue.index(task)]
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return task
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finally:
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manager_lock.release()
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def thread_render(device):
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global current_state, current_state_error, current_model_path, current_vae_path, current_hypernetwork_path
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from . import runtime
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try:
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runtime.thread_init(device)
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except Exception as e:
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print(traceback.format_exc())
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weak_thread_data[threading.current_thread()] = {
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'error': e
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}
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return
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weak_thread_data[threading.current_thread()] = {
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'device': runtime.thread_data.device,
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'device_name': runtime.thread_data.device_name,
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'alive': True
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}
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if runtime.thread_data.device != 'cpu' or is_alive() == 1:
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preload_model()
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current_state = ServerStates.Online
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while True:
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session_cache.clean()
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task_cache.clean()
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if not weak_thread_data[threading.current_thread()]['alive']:
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print(f'Shutting down thread for device {runtime.thread_data.device}')
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runtime.unload_models()
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runtime.unload_filters()
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return
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if isinstance(current_state_error, SystemExit):
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current_state = ServerStates.Unavailable
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return
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task = thread_get_next_task()
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if task is None:
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idle_event.clear()
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idle_event.wait(timeout=1)
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continue
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if task.error is not None:
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print(task.error)
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task.response = {"status": 'failed', "detail": str(task.error)}
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task.buffer_queue.put(json.dumps(task.response))
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continue
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if current_state_error:
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task.error = current_state_error
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task.response = {"status": 'failed', "detail": str(task.error)}
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task.buffer_queue.put(json.dumps(task.response))
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continue
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print(f'Session {task.request.session_id} starting task {id(task)} on {runtime.thread_data.device_name}')
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if not task.lock.acquire(blocking=False): raise Exception('Got locked task from queue.')
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try:
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if runtime.is_hypernetwork_reload_necessary(task.request):
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runtime.reload_hypernetwork()
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current_hypernetwork_path = task.request.use_hypernetwork_model
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if runtime.is_model_reload_necessary(task.request):
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current_state = ServerStates.LoadingModel
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runtime.reload_model()
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current_model_path = task.request.use_stable_diffusion_model
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current_vae_path = task.request.use_vae_model
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def step_callback():
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global current_state_error
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if isinstance(current_state_error, SystemExit) or isinstance(current_state_error, StopAsyncIteration) or isinstance(task.error, StopAsyncIteration):
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runtime.thread_data.stop_processing = True
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if isinstance(current_state_error, StopAsyncIteration):
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task.error = current_state_error
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current_state_error = None
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print(f'Session {task.request.session_id} sent cancel signal for task {id(task)}')
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current_state = ServerStates.Rendering
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task.response = runtime.mk_img(task.request, task.buffer_queue, task.temp_images, step_callback)
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# Before looping back to the generator, mark cache as still alive.
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task_cache.keep(id(task), TASK_TTL)
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session_cache.keep(task.request.session_id, TASK_TTL)
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except Exception as e:
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task.error = e
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task.response = {"status": 'failed', "detail": str(task.error)}
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task.buffer_queue.put(json.dumps(task.response))
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print(traceback.format_exc())
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continue
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finally:
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# Task completed
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task.lock.release()
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task_cache.keep(id(task), TASK_TTL)
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session_cache.keep(task.request.session_id, TASK_TTL)
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if isinstance(task.error, StopAsyncIteration):
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print(f'Session {task.request.session_id} task {id(task)} cancelled!')
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elif task.error is not None:
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print(f'Session {task.request.session_id} task {id(task)} failed!')
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else:
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print(f'Session {task.request.session_id} task {id(task)} completed by {runtime.thread_data.device_name}.')
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current_state = ServerStates.Online
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def get_cached_task(task_id:str, update_ttl:bool=False):
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# By calling keep before tryGet, wont discard if was expired.
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if update_ttl and not task_cache.keep(task_id, TASK_TTL):
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# Failed to keep task, already gone.
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return None
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return task_cache.tryGet(task_id)
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def get_cached_session(session_id:str, update_ttl:bool=False):
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if update_ttl:
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session_cache.keep(session_id, TASK_TTL)
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session = session_cache.tryGet(session_id)
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if not session:
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session = SessionState(session_id)
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session_cache.put(session_id, session, TASK_TTL)
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return session
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def get_devices():
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devices = {
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'all': {},
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'active': {},
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}
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def get_device_info(device):
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if device == 'cpu':
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return {'name': device_manager.get_processor_name()}
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mem_free, mem_total = torch.cuda.mem_get_info(device)
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mem_free /= float(10**9)
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mem_total /= float(10**9)
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return {
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'name': torch.cuda.get_device_name(device),
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'mem_free': mem_free,
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'mem_total': mem_total,
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}
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# list the compatible devices
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gpu_count = torch.cuda.device_count()
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for device in range(gpu_count):
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device = f'cuda:{device}'
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if not device_manager.is_device_compatible(device):
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continue
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devices['all'].update({device: get_device_info(device)})
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devices['all'].update({'cpu': get_device_info('cpu')})
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# list the activated devices
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if not manager_lock.acquire(blocking=True, timeout=LOCK_TIMEOUT): raise Exception('get_devices' + ERR_LOCK_FAILED)
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try:
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for rthread in render_threads:
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if not rthread.is_alive():
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continue
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weak_data = weak_thread_data.get(rthread)
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if not weak_data or not 'device' in weak_data or not 'device_name' in weak_data:
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continue
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device = weak_data['device']
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devices['active'].update({device: get_device_info(device)})
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finally:
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manager_lock.release()
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return devices
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def is_alive(device=None):
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if not manager_lock.acquire(blocking=True, timeout=LOCK_TIMEOUT): raise Exception('is_alive' + ERR_LOCK_FAILED)
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nbr_alive = 0
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try:
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for rthread in render_threads:
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if device is not None:
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weak_data = weak_thread_data.get(rthread)
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if weak_data is None or not 'device' in weak_data or weak_data['device'] is None:
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continue
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thread_device = weak_data['device']
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if thread_device != device:
|
|
continue
|
|
if rthread.is_alive():
|
|
nbr_alive += 1
|
|
return nbr_alive
|
|
finally:
|
|
manager_lock.release()
|
|
|
|
def start_render_thread(device):
|
|
if not manager_lock.acquire(blocking=True, timeout=LOCK_TIMEOUT): raise Exception('start_render_thread' + ERR_LOCK_FAILED)
|
|
print('Start new Rendering Thread on device', device)
|
|
try:
|
|
rthread = threading.Thread(target=thread_render, kwargs={'device': device})
|
|
rthread.daemon = True
|
|
rthread.name = THREAD_NAME_PREFIX + device
|
|
rthread.start()
|
|
render_threads.append(rthread)
|
|
finally:
|
|
manager_lock.release()
|
|
timeout = DEVICE_START_TIMEOUT
|
|
while not rthread.is_alive() or not rthread in weak_thread_data or not 'device' in weak_thread_data[rthread]:
|
|
if rthread in weak_thread_data and 'error' in weak_thread_data[rthread]:
|
|
print(rthread, device, 'error:', weak_thread_data[rthread]['error'])
|
|
return False
|
|
if timeout <= 0:
|
|
return False
|
|
timeout -= 1
|
|
time.sleep(1)
|
|
return True
|
|
|
|
def stop_render_thread(device):
|
|
try:
|
|
device_manager.validate_device_id(device, log_prefix='stop_render_thread')
|
|
except:
|
|
print(traceback.format_exc())
|
|
return False
|
|
|
|
if not manager_lock.acquire(blocking=True, timeout=LOCK_TIMEOUT): raise Exception('stop_render_thread' + ERR_LOCK_FAILED)
|
|
print('Stopping Rendering Thread on device', device)
|
|
|
|
try:
|
|
thread_to_remove = None
|
|
for rthread in render_threads:
|
|
weak_data = weak_thread_data.get(rthread)
|
|
if weak_data is None or not 'device' in weak_data or weak_data['device'] is None:
|
|
continue
|
|
thread_device = weak_data['device']
|
|
if thread_device == device:
|
|
weak_data['alive'] = False
|
|
thread_to_remove = rthread
|
|
break
|
|
if thread_to_remove is not None:
|
|
render_threads.remove(rthread)
|
|
return True
|
|
finally:
|
|
manager_lock.release()
|
|
|
|
return False
|
|
|
|
def update_render_threads(render_devices, active_devices):
|
|
devices_to_start, devices_to_stop = device_manager.get_device_delta(render_devices, active_devices)
|
|
print('devices_to_start', devices_to_start)
|
|
print('devices_to_stop', devices_to_stop)
|
|
|
|
for device in devices_to_stop:
|
|
if is_alive(device) <= 0:
|
|
print(device, 'is not alive')
|
|
continue
|
|
if not stop_render_thread(device):
|
|
print(device, 'could not stop render thread')
|
|
|
|
for device in devices_to_start:
|
|
if is_alive(device) >= 1:
|
|
print(device, 'already registered.')
|
|
continue
|
|
if not start_render_thread(device):
|
|
print(device, 'failed to start.')
|
|
|
|
if is_alive() <= 0: # No running devices, probably invalid user config.
|
|
raise EnvironmentError('ERROR: No active render devices! Please verify the "render_devices" value in config.json')
|
|
|
|
print('active devices', get_devices()['active'])
|
|
|
|
def shutdown_event(): # Signal render thread to close on shutdown
|
|
global current_state_error
|
|
current_state_error = SystemExit('Application shutting down.')
|
|
|
|
def render(req : ImageRequest):
|
|
current_thread_count = is_alive()
|
|
if current_thread_count <= 0: # Render thread is dead
|
|
raise ChildProcessError('Rendering thread has died.')
|
|
|
|
# Alive, check if task in cache
|
|
session = get_cached_session(req.session_id, update_ttl=True)
|
|
pending_tasks = list(filter(lambda t: t.is_pending, session.tasks))
|
|
if current_thread_count < len(pending_tasks):
|
|
raise ConnectionRefusedError(f'Session {req.session_id} already has {len(pending_tasks)} pending tasks out of {current_thread_count}.')
|
|
|
|
from . import runtime
|
|
r = Request()
|
|
r.session_id = req.session_id
|
|
r.prompt = req.prompt
|
|
r.negative_prompt = req.negative_prompt
|
|
r.init_image = req.init_image
|
|
r.mask = req.mask
|
|
r.num_outputs = req.num_outputs
|
|
r.num_inference_steps = req.num_inference_steps
|
|
r.guidance_scale = req.guidance_scale
|
|
r.width = req.width
|
|
r.height = req.height
|
|
r.seed = req.seed
|
|
r.prompt_strength = req.prompt_strength
|
|
r.sampler = req.sampler
|
|
# r.allow_nsfw = req.allow_nsfw
|
|
r.turbo = req.turbo
|
|
r.use_full_precision = req.use_full_precision
|
|
r.save_to_disk_path = req.save_to_disk_path
|
|
r.use_upscale: str = req.use_upscale
|
|
r.use_face_correction = req.use_face_correction
|
|
r.use_stable_diffusion_model = req.use_stable_diffusion_model
|
|
r.use_vae_model = req.use_vae_model
|
|
r.use_hypernetwork_model = req.use_hypernetwork_model
|
|
r.hypernetwork_strength = req.hypernetwork_strength
|
|
r.show_only_filtered_image = req.show_only_filtered_image
|
|
r.output_format = req.output_format
|
|
r.output_quality = req.output_quality
|
|
|
|
r.stream_progress_updates = True # the underlying implementation only supports streaming
|
|
r.stream_image_progress = req.stream_image_progress
|
|
|
|
if not req.stream_progress_updates:
|
|
r.stream_image_progress = False
|
|
|
|
new_task = RenderTask(r)
|
|
if session.put(new_task, TASK_TTL):
|
|
# Use twice the normal timeout for adding user requests.
|
|
# Tries to force session.put to fail before tasks_queue.put would.
|
|
if manager_lock.acquire(blocking=True, timeout=LOCK_TIMEOUT * 2):
|
|
try:
|
|
tasks_queue.append(new_task)
|
|
idle_event.set()
|
|
return new_task
|
|
finally:
|
|
manager_lock.release()
|
|
raise RuntimeError('Failed to add task to cache.')
|