dataset_collect: Collects a dataset

In tfdatasets: Interface to 'TensorFlow' Datasets

Collects a dataset

Description

Iterates throught the dataset collecting every element into a list. It's useful for looking at the full result of the dataset. Note: You may run out of memory if your dataset is too big.

Usage

dataset_collect(dataset, iter_max = Inf)

Arguments

dataset	A dataset
iter_max	Maximum number of iterations. Inf until the end of the dataset

See Also

Other dataset methods: dataset_batch(), dataset_cache(), 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_skip(), dataset_take(), dataset_take_while(), dataset_window()

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