def _logsum_expbig_minus_expsmall(big, small):
with tf.name_scope("<STR_LIT>"):<EOL><INDENT>return tf.math.log1p(-tf.exp(small - big)) + big<EOL><DEDENT>
Stable evaluation of `Log[exp{big} - exp{small}]`.

    To work correctly, we should have the pointwise relation:  `small <= big`.

    Args:
      big: Floating-point `Tensor`
      small: Floating-point `Tensor` with same `dtype` as `big` and broadcastable
        shape.

    Returns:
      `Tensor` of same `dtype` of `big` and broadcast shape.