Spaces:
Runtime error
Runtime error
File size: 2,693 Bytes
c1e7277 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 |
from time import sleep
from typing import List
from onnxruntime import InferenceSession
from facefusion import process_manager, state_manager
from facefusion.app_context import detect_app_context
from facefusion.execution import create_inference_execution_providers
from facefusion.thread_helper import thread_lock
from facefusion.typing import DownloadSet, ExecutionProvider, InferencePool, InferencePoolSet
INFERENCE_POOLS : InferencePoolSet =\
{
'cli': {}, #type:ignore[typeddict-item]
'ui': {} #type:ignore[typeddict-item]
}
def get_inference_pool(model_context : str, model_sources : DownloadSet) -> InferencePool:
global INFERENCE_POOLS
with thread_lock():
while process_manager.is_checking():
sleep(0.5)
app_context = detect_app_context()
inference_context = get_inference_context(model_context)
if app_context == 'cli' and INFERENCE_POOLS.get('ui').get(inference_context):
INFERENCE_POOLS['cli'][inference_context] = INFERENCE_POOLS.get('ui').get(inference_context)
if app_context == 'ui' and INFERENCE_POOLS.get('cli').get(inference_context):
INFERENCE_POOLS['ui'][inference_context] = INFERENCE_POOLS.get('cli').get(inference_context)
if not INFERENCE_POOLS.get(app_context).get(inference_context):
INFERENCE_POOLS[app_context][inference_context] = create_inference_pool(model_sources, state_manager.get_item('execution_device_id'), state_manager.get_item('execution_providers'))
return INFERENCE_POOLS.get(app_context).get(inference_context)
def create_inference_pool(model_sources : DownloadSet, execution_device_id : str, execution_providers : List[ExecutionProvider]) -> InferencePool:
inference_pool : InferencePool = {}
for model_name in model_sources.keys():
inference_pool[model_name] = create_inference_session(model_sources.get(model_name).get('path'), execution_device_id, execution_providers)
return inference_pool
def clear_inference_pool(model_context : str) -> None:
global INFERENCE_POOLS
app_context = detect_app_context()
inference_context = get_inference_context(model_context)
if INFERENCE_POOLS.get(app_context).get(inference_context):
del INFERENCE_POOLS[app_context][inference_context]
def create_inference_session(model_path : str, execution_device_id : str, execution_providers : List[ExecutionProvider]) -> InferenceSession:
inference_execution_providers = create_inference_execution_providers(execution_device_id, execution_providers)
return InferenceSession(model_path, providers = inference_execution_providers)
def get_inference_context(model_context : str) -> str:
inference_context = model_context + '.' + '_'.join(state_manager.get_item('execution_providers'))
return inference_context
|