WetHat

Randl

% Fixed extra right bracket
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% Evgenii Zheltonozhskii, 09/28/2020, zheltonozhskiy@gmail.com
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% ---------------------------------------------------------------
% Modified CVPR ieee_fullname.bst to support natbib
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% Evgenii Zheltonozhskii, 03/10/2019, zheltonozhskiy@gmail.com
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% ---------------------------------------------------------------

thomwolf

def top_k_top_p_filtering(logits, top_k=0, top_p=0.0, filter_value=-float('Inf')):
    """ Filter a distribution of logits using top-k and/or nucleus (top-p) filtering
        Args:
            logits: logits distribution shape (vocabulary size)
            top_k >0: keep only top k tokens with highest probability (top-k filtering).
            top_p >0.0: keep the top tokens with cumulative probability >= top_p (nucleus filtering).
                Nucleus filtering is described in Holtzman et al. (http://arxiv.org/abs/1904.09751)
    """
    assert logits.dim() == 1  # batch size 1 for now - could be updated for more but the code would be less clear
    top_k = min(top_k, logits.size(-1))  # Safety check