dataset_prefetch: Creates a Dataset that prefetches elements from this dataset.

In rstudio/tfdatasets: Interface to 'TensorFlow' Datasets

Creates a Dataset that prefetches elements from this dataset.

Description

Creates a Dataset that prefetches elements from this dataset.

Usage

dataset_prefetch(dataset, buffer_size = tf$data$AUTOTUNE)

Arguments

dataset	A dataset
buffer_size	An integer, representing the maximum number elements that will be buffered when prefetching.

Value

A dataset

See Also

Other dataset methods: dataset_batch(), dataset_cache(), dataset_collect(), dataset_concatenate(), dataset_decode_delim(), dataset_filter(), dataset_interleave(), dataset_map(), dataset_map_and_batch(), dataset_padded_batch(), dataset_prefetch_to_device(), dataset_reduce(), dataset_repeat(), dataset_shuffle(), dataset_shuffle_and_repeat(), dataset_skip(), dataset_take(), dataset_take_while(), dataset_window()

rstudio/tfdatasets documentation built on July 22, 2024, 12:41 a.m.