sampler_sample_embedding: Sample Embedding Sampler

In tfaddons: Interface to 'TensorFlow SIG Addons'

Description

A sampler for use during inference.

Usage

sampler_sample_embedding(
  embedding_fn = NULL,
  softmax_temperature = NULL,
  seed = NULL
)

Arguments

embedding_fn	(Optional) A callable that takes a vector tensor of ids (argmax ids), or the params argument for embedding_lookup. The returned tensor will be passed to the decoder input.
softmax_temperature	(Optional) float32 scalar, value to divide the logits by before computing the softmax. Larger values (above 1.0) result in more random samples, while smaller values push the sampling distribution towards the argmax. Must be strictly greater than 0. Defaults to 1.0.
seed	(Optional) The sampling seed.

Details

Uses sampling (from a distribution) instead of argmax and passes the result through an embedding layer to get the next input.

Value

None

tfaddons documentation built on July 2, 2020, 2:12 a.m.