use torch_gc
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parent
870376e4bf
commit
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@ -281,7 +281,6 @@ def process():
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try:
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try:
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res_np_img = model(image, mask, config)
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res_np_img = model(image, mask, config)
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except RuntimeError as e:
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except RuntimeError as e:
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torch.cuda.empty_cache()
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if "CUDA out of memory. " in str(e):
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if "CUDA out of memory. " in str(e):
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# NOTE: the string may change?
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# NOTE: the string may change?
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return "CUDA out of memory", 500
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return "CUDA out of memory", 500
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@ -290,7 +289,7 @@ def process():
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return f"{str(e)}", 500
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return f"{str(e)}", 500
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finally:
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finally:
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logger.info(f"process time: {(time.time() - start) * 1000}ms")
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logger.info(f"process time: {(time.time() - start) * 1000}ms")
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torch.cuda.empty_cache()
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torch_gc()
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res_np_img = cv2.cvtColor(res_np_img.astype(np.uint8), cv2.COLOR_BGR2RGB)
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res_np_img = cv2.cvtColor(res_np_img.astype(np.uint8), cv2.COLOR_BGR2RGB)
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if alpha_channel is not None:
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if alpha_channel is not None:
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