nnf_gumbel_softmax: Gumbel_softmax

In torch: Tensors and Neural Networks with 'GPU' Acceleration

Gumbel_softmax

Description

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.

torch documentation built on May 29, 2024, 9:54 a.m.