parse_flags: Parse Configuration Flags for a TensorFlow Application

In tensorflow: R Interface to 'TensorFlow'

Parse Configuration Flags for a TensorFlow Application

Description

Parse configuration flags for a TensorFlow application. Use this to parse and unify the configuration(s) specified through a flags.yml configuration file, alongside other arguments set through the command line.

Usage

parse_flags(
  config = Sys.getenv("R_CONFIG_ACTIVE", unset = "default"),
  file = "flags.yml",
  arguments = commandArgs(TRUE)
)

Arguments

config	The configuration to use. Defaults to the active configuration for the current environment (as specified by the R_CONFIG_ACTIVE environment variable), or default when unset.
file	The configuration file to read.
arguments	The command line arguments (as a character vector) to be parsed.

Value

A named R list, mapping configuration keys to values.

Examples

## Not run: 
# examine an example configuration file provided by tensorflow
file <- system.file("examples/config/flags.yml", package = "tensorflow")
cat(readLines(file), sep = "\n")

# read the default configuration
FLAGS <- tensorflow::parse_flags("default", file = file)
str(FLAGS)

# read the alternate configuration: note that
# the default configuration is inherited, but
# we override the 'string' configuration here
FLAGS <- tensorflow::parse_flags("alternate", file = file)
str(FLAGS)

# override configuration values using command
# line arguments (normally, these would be
# passed in through the command line invocation
# used to start the process)
FLAGS <- tensorflow::parse_flags(
  "alternate",
  file = file,
  arguments = c("--foo=1")
)
str(FLAGS)


## End(Not run)

tensorflow documentation built on May 29, 2024, 2:13 a.m.