deepmd.tf.entrypoints.main

DeePMD-Kit entry point module.

Module Contents

Functions

get_ll(→ int)	Convert string to python logging level.
main_parser(→ argparse.ArgumentParser)	DeePMD-Kit commandline options argument parser.
parse_args(→ argparse.Namespace)	Parse arguments and convert argument strings to objects.
main([args])	DeePMD-Kit entry point.

deepmd.tf.entrypoints.main.get_ll(log_level: str) → int

Convert string to python logging level.

Parameters:

log_levelstr

allowed input values are: DEBUG, INFO, WARNING, ERROR, 3, 2, 1, 0

Returns:

int

one of python logging module log levels - 10, 20, 30 or 40

deepmd.tf.entrypoints.main.main_parser() → argparse.ArgumentParser

DeePMD-Kit commandline options argument parser.

Returns:

argparse.ArgumentParser

main parser of DeePMD-kit

deepmd.tf.entrypoints.main.parse_args(args: List[str] | None = None) → argparse.Namespace

Parse arguments and convert argument strings to objects.

Parameters:

argsList[str]

list of command line arguments, main purpose is testing default option None takes arguments from sys.argv

Returns:

argparse.Namespace

the populated namespace

deepmd.tf.entrypoints.main.main(args: List[str] | argparse.Namespace | None = None)

DeePMD-Kit entry point.

Parameters:

argsList[str] or argparse.Namespace, optional

list of command line arguments, used to avoid calling from the subprocess, as it is quite slow to import tensorflow; if Namespace is given, it will be used directly

Raises:

RuntimeError

if no command was input