Base abstract class that allows the user to customize sampling.

sampler_custom(
  initialize_fn,
  sample_fn,
  next_inputs_fn,
  sample_ids_shape = NULL,
  sample_ids_dtype = NULL
)

Arguments

initialize_fn	callable that returns (finished, next_inputs) for the first iteration.
sample_fn	callable that takes (time, outputs, state) and emits tensor sample_ids.
next_inputs_fn	callable that takes (time, outputs, state, sample_ids) and emits (finished, next_inputs, next_state).
sample_ids_shape	Either a list of integers, or a 1-D Tensor of type int32, the shape of each value in the sample_ids batch. Defaults to a scalar.
sample_ids_dtype	The dtype of the sample_ids tensor. Defaults to int32.

None