Spaces:
Running
on
Zero
Running
on
Zero
File size: 2,193 Bytes
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# 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
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