until_out_of_range: Execute code that traverses a dataset until an out of range...

In tfdatasets: Interface to 'TensorFlow' Datasets

Execute code that traverses a dataset until an out of range condition occurs

Description

Execute code that traverses a dataset until an out of range condition occurs

Usage

until_out_of_range(expr)

out_of_range_handler(e)

Arguments

expr	Expression to execute (will be executed multiple times until the condition occurs)
e	Error object

Details

When a dataset iterator reaches the end, an out of range runtime error will occur. This function will catch and ignore the error when it occurs.

Examples

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

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

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

## End(Not run)

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