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Fix memory leak in new streaming (second attempt)
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92fe947721
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@ -49,7 +49,7 @@ class Iteratorize:
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def __init__(self, func, kwargs={}, callback=None):
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self.mfunc=func
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self.c_callback=callback
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self.q = Queue(maxsize=1)
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self.q = Queue()
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self.sentinel = object()
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self.kwargs = kwargs
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@ -73,3 +73,6 @@ class Iteratorize:
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raise StopIteration
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else:
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return obj
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def __del__(self):
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pass
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@ -187,7 +187,6 @@ def generate_reply(question, max_new_tokens, do_sample, temperature, top_p, typi
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yield formatted_outputs(original_question, shared.model_name)
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for output in eval(f"generate_with_streaming({', '.join(generate_params)})"):
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print(print('Used vram in gib:', torch.cuda.memory_allocated() / 1024**3))
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if shared.soft_prompt:
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output = torch.cat((input_ids[0], output[filler_input_ids.shape[1]:]))
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reply = decode(output)
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