dataset_skip: Creates a dataset that skips count elements from this dataset

In tfdatasets: Interface to 'TensorFlow' Datasets

Creates a dataset that skips count elements from this dataset

Description

Creates a dataset that skips count elements from this dataset

Usage

dataset_skip(dataset, count)

Arguments

dataset	A dataset
count	An integer, representing the number of elements of this dataset that should be skipped to form the new dataset. If count is greater than the size of this dataset, the new dataset will contain no elements. If count is -1, skips the entire dataset.

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(), dataset_prefetch_to_device(), dataset_reduce(), dataset_repeat(), dataset_shuffle(), dataset_shuffle_and_repeat(), dataset_take(), dataset_take_while(), dataset_window()

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