Gumbel_softmax — nnf_gumbel_softmax • torch

Samples from the Gumbel-Softmax distribution and optionally discretizes.

Usage

nnf_gumbel_softmax(logits, tau = 1, hard = FALSE, dim = -1)

Arguments

logits: [..., num_features] unnormalized log probabilities
tau: non-negative scalar temperature
hard: if True, the returned samples will be discretized as one-hot vectors, but will be differentiated as if it is the soft sample in autograd
dim: (int) A dimension along which softmax will be computed. Default: -1.