Revert "skip free_memory for interrogate"

This reverts commit 316fe24f65.
Rather add interrogate action to queue than keeping 400MB BLIP loaded in VRAM.
This commit is contained in:
Manuel Schmid
2023-12-31 00:26:59 +01:00
parent 64c1a3dcce
commit 13bb314cfa
2 changed files with 6 additions and 6 deletions
+5 -5
View File
@@ -373,7 +373,7 @@ def free_memory(memory_required, device, keep_loaded=[]):
if mem_free_torch > mem_free_total * 0.25:
soft_empty_cache()
def load_models_gpu(models, memory_required=0, should_free_memory=True):
def load_models_gpu(models, memory_required=0):
global vram_state
inference_memory = minimum_inference_memory()
@@ -396,7 +396,7 @@ def load_models_gpu(models, memory_required=0, should_free_memory=True):
if len(models_to_load) == 0:
devs = set(map(lambda a: a.device, models_already_loaded))
for d in devs:
if d != torch.device("cpu") and should_free_memory:
if d != torch.device("cpu"):
free_memory(extra_mem, d, models_already_loaded)
return
@@ -408,7 +408,7 @@ def load_models_gpu(models, memory_required=0, should_free_memory=True):
total_memory_required[loaded_model.device] = total_memory_required.get(loaded_model.device, 0) + loaded_model.model_memory_required(loaded_model.device)
for device in total_memory_required:
if device != torch.device("cpu") and should_free_memory:
if device != torch.device("cpu"):
free_memory(total_memory_required[device] * 1.3 + extra_mem, device, models_already_loaded)
for loaded_model in models_to_load:
@@ -436,8 +436,8 @@ def load_models_gpu(models, memory_required=0, should_free_memory=True):
return
def load_model_gpu(model, should_free_memory=True):
return load_models_gpu([model], should_free_memory=should_free_memory)
def load_model_gpu(model):
return load_models_gpu([model])
def cleanup_models():
to_delete = []