Bases: naive_probabilistic_compression
Source code in tinybig/compression/probabilistic_compression.py
| class naive_exponential_probabilistic_compression(naive_probabilistic_compression):
def __init__(self, name: str = 'naive_exponential_probabilistic_compression', rate: float = 0.5, require_normalization: bool = True, *args, **kwargs):
distribution_function = torch.distributions.exponential.Exponential(rate=torch.tensor([rate]))
super().__init__(name=name, distribution_function=distribution_function, require_normalization=True, *args, **kwargs)
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