mirror of
https://git.datalinker.icu/kijai/ComfyUI-Hunyuan3DWrapper.git
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59 lines
2.1 KiB
Python
Executable File
59 lines
2.1 KiB
Python
Executable File
# Open Source Model Licensed under the Apache License Version 2.0
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# and Other Licenses of the Third-Party Components therein:
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# The below Model in this distribution may have been modified by THL A29 Limited
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# ("Tencent Modifications"). All Tencent Modifications are Copyright (C) 2024 THL A29 Limited.
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# Copyright (C) 2024 THL A29 Limited, a Tencent company. All rights reserved.
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# The below software and/or models in this distribution may have been
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# modified by THL A29 Limited ("Tencent Modifications").
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# All Tencent Modifications are Copyright (C) THL A29 Limited.
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# Hunyuan 3D is licensed under the TENCENT HUNYUAN NON-COMMERCIAL LICENSE AGREEMENT
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# except for the third-party components listed below.
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# Hunyuan 3D does not impose any additional limitations beyond what is outlined
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# in the repsective licenses of these third-party components.
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# Users must comply with all terms and conditions of original licenses of these third-party
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# components and must ensure that the usage of the third party components adheres to
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# all relevant laws and regulations.
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# For avoidance of doubts, Hunyuan 3D means the large language models and
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# their software and algorithms, including trained model weights, parameters (including
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# optimizer states), machine-learning model code, inference-enabling code, training-enabling code,
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# fine-tuning enabling code and other elements of the foregoing made publicly available
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# by Tencent in accordance with TENCENT HUNYUAN COMMUNITY LICENSE AGREEMENT.
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class RunningStats():
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def __init__(self) -> None:
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self.count = 0
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self.sum = 0
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self.mean = 0
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self.min = None
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self.max = None
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def add_value(self, value):
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self.count += 1
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self.sum += value
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self.mean = self.sum / self.count
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if self.min is None or value < self.min:
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self.min = value
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if self.max is None or value > self.max:
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self.max = value
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def get_count(self):
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return self.count
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def get_sum(self):
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return self.sum
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def get_mean(self):
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return self.mean
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def get_min(self):
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return self.min
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def get_max(self):
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return self.max
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