dataset_map: Map a function across a dataset.

In tfdatasets: Interface to 'TensorFlow' Datasets

Map a function across a dataset.

Description

Map a function across a dataset.

Usage

dataset_map(dataset, map_func, num_parallel_calls = NULL)

Arguments

dataset	A dataset
map_func	A function mapping a nested structure of tensors (having shapes and types defined by output_shapes() and output_types() to another nested structure of tensors. It also supports purrr style lambda functions powered by rlang::as_function().
num_parallel_calls	(Optional) An integer, representing the number of elements to process in parallel If not specified, elements will be processed sequentially.

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_and_batch(), dataset_padded_batch(), dataset_prefetch(), dataset_prefetch_to_device(), dataset_reduce(), dataset_repeat(), dataset_shuffle(), dataset_shuffle_and_repeat(), dataset_skip(), dataset_take(), dataset_take_while(), dataset_window()

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