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use torch_gc

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Qing 2023-05-20 12:35:36 +08:00
parent 870376e4bf
commit 6674104742
1 changed files with 1 additions and 2 deletions
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3
lama_cleaner/server.py
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@ -281,7 +281,6 @@ def process():
try:
res_np_img = model(image, mask, config)
except RuntimeError as e:
torch.cuda.empty_cache()
if "CUDA out of memory. " in str(e):
# NOTE: the string may change?
return "CUDA out of memory", 500
@ -290,7 +289,7 @@ def process():
return f"{str(e)}", 500
finally:
logger.info(f"process time: {(time.time() - start) * 1000}ms")
torch.cuda.empty_cache()
torch_gc()
res_np_img = cv2.cvtColor(res_np_img.astype(np.uint8), cv2.COLOR_BGR2RGB)
if alpha_channel is not None: