dataset_scan: A transformation that scans a function across an input...

In tfdatasets: Interface to 'TensorFlow' Datasets

A transformation that scans a function across an input dataset

Description

A transformation that scans a function across an input dataset

Usage

dataset_scan(dataset, initial_state, scan_func)

Arguments

dataset	A tensorflow dataset
initial_state	A nested structure of tensors, representing the initial state of the accumulator.
scan_func	A function that maps ⁠(old_state, input_element)⁠ to ⁠(new_state, output_element)⁠. It must take two arguments and return a pair of nested structures of tensors. The new_state must match the structure of initial_state.

Details

This transformation is a stateful relative of dataset_map(). In addition to mapping scan_func across the elements of the input dataset, scan() accumulates one or more state tensors, whose initial values are initial_state.

Examples

## Not run: 
initial_state <- as_tensor(0, dtype="int64")
scan_func <- function(state, i) list(state + i, state + i)
dataset <- range_dataset(0, 10) %>%
  dataset_scan(initial_state, scan_func)

reticulate::iterate(dataset, as.array) %>%
  unlist()
# 0  1  3  6 10 15 21 28 36 45

## End(Not run)

tfdatasets documentation built on Sept. 11, 2024, 8:53 p.m.