36 lines
855 B
Python
36 lines
855 B
Python
import torch
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import numpy as np
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class MovAvg(object):
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def __init__(self, size=100):
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super().__init__()
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self.size = size
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self.cache = []
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def add(self, x):
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if isinstance(x, torch.Tensor):
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x = x.detach().cpu().numpy()
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if isinstance(x, list):
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for _ in x:
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if _ != np.inf:
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self.cache.append(_)
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elif x != np.inf:
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self.cache.append(x)
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if self.size > 0 and len(self.cache) > self.size:
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self.cache = self.cache[-self.size:]
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return self.get()
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def get(self):
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if len(self.cache) == 0:
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return 0
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return np.mean(self.cache)
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def mean(self):
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return self.get()
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def std(self):
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if len(self.cache) == 0:
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return 0
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return np.std(self.cache)
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