dataset_options: Get or Set Dataset Options

In tfdatasets: Interface to 'TensorFlow' Datasets

Get or Set Dataset Options

Description

Get or Set Dataset Options

Usage

dataset_options(dataset, ...)

Arguments

dataset	a tensorflow dataset
...	Valid values include: A set of named arguments setting options. Names of nested attributes can be separated with a "." (see examples). The set of named arguments can be supplied individually to ..., or as a single named list. a tf$data$Options() instance.

Details

The options are "global" in the sense they apply to the entire dataset. If options are set multiple times, they are merged as long as different options do not use different non-default values.

Value

If values are supplied to ..., returns a tf.data.Dataset with the given options set/updated. Otherwise, returns the currently set options for the dataset.

Examples

## Not run: 
# pass options directly:
range_dataset(0, 10) %>%
  dataset_options(
    experimental_deterministic = FALSE,
    threading.private_threadpool_size = 10
  )

# pass options as a named list:
opts <- list(
  experimental_deterministic = FALSE,
  threading.private_threadpool_size = 10
)
range_dataset(0, 10) %>%
  dataset_options(opts)

# pass a tf.data.Options() instance
opts <- tf$data$Options()
opts$experimental_deterministic <- FALSE
opts$threading$private_threadpool_size <- 10L
range_dataset(0, 10) %>%
  dataset_options(opts)

# get currently set options
range_dataset(0, 10) %>% dataset_options()

## End(Not run)

tfdatasets documentation built on June 30, 2022, 1:04 a.m.