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