Bases: naive_probabilistic_compression
Source code in tinybig/compression/probabilistic_compression.py
| class naive_uniform_probabilistic_compression(naive_probabilistic_compression):
def __init__(self, name: str = 'naive_normal_probabilistic_compression', low: float = 0.0, high: float = 1.0, require_normalization: bool = True, *args, **kwargs):
distribution_function = torch.distributions.uniform.Uniform(low=low, high=high)
super().__init__(name=name, distribution_function=distribution_function, require_normalization=True, *args, **kwargs)
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