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util

Utility functions

log_softmax(nums)

Compute log(softmax(nums)).

Parameters:

Name Type Description Default
nums

a vector or numpy array of unnormalized log probabilities.

 required

Returns:

Type Description

np.array: an array of log (normalized) probabilities.
Source code in hfppl/util.py 
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def log_softmax(nums):
    """Compute log(softmax(nums)).

    Args:
        nums: a vector or numpy array of unnormalized log probabilities.

    Returns:
        np.array: an array of log (normalized) probabilities.
    """
    return nums - logsumexp(nums)