dataset_prefetch_to_device: A transformation that prefetches dataset values to the given...

In tfdatasets: Interface to 'TensorFlow' Datasets

A transformation that prefetches dataset values to the given device

Description

A transformation that prefetches dataset values to the given device

Usage

dataset_prefetch_to_device(dataset, device, buffer_size = NULL)

Arguments

dataset	A dataset
device	A string. The name of a device to which elements will be prefetched (e.g. "/gpu:0").
buffer_size	(Optional.) The number of elements to buffer on device. Defaults to an automatically chosen value.

Value

A dataset

Note

Although the transformation creates a dataset, the transformation must be the final dataset in the input pipeline.

See Also

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

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