with_dataset: Execute code that traverses a dataset

In tfdatasets: Interface to 'TensorFlow' Datasets

Execute code that traverses a dataset

Description

Execute code that traverses a dataset

Usage

with_dataset(expr)

Arguments

expr	Expression to execute

Details

When a dataset iterator reaches the end, an out of range runtime error will occur. You can catch and ignore the error when it occurs by wrapping your iteration code in a call to with_dataset() (see the example below for an illustration).

Examples

## Not run: 
library(tfdatasets)
dataset <- text_line_dataset("mtcars.csv", record_spec = mtcars_spec) %>%
  dataset_prepare(x = c(mpg, disp), y = cyl) %>%
  dataset_batch(128) %>%
  dataset_repeat(10)

iter <- make_iterator_one_shot(dataset)
next_batch <- iterator_get_next(iter)

with_dataset({
  while(TRUE) {
    batch <- sess$run(next_batch)
    # use batch$x and batch$y tensors
  }
})

## End(Not run)

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