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Multinomial coefficient.

    n, counts, name='log_combinations'

Given n and counts, where counts has last dimension k, we compute the multinomial coefficient as:

where i runs over all k classes.


  • n: Floating-point Tensor broadcastable with counts. This represents n outcomes.
  • counts: Floating-point Tensor broadcastable with n. This represents counts in k classes, where k is the last dimension of the tensor.
  • name: A name for this operation (optional).


  • log_combinations: Tensor representing the multinomial coefficient between n and counts.