neuralmonkey.config.builder module

Configuration Object Builder.

This module is responsible for instantiating objects specified by the experiment configuration.

class neuralmonkey.config.builder.ClassSymbol(string: str) → None

Bases: object

Represents a class (or other callable) in configuration.

__init__(string: str) → None

Initialize self. See help(type(self)) for accurate signature.

create() → Any
class neuralmonkey.config.builder.ObjectRef(expression: str) → None

Bases: object

Represents a named object or its attribute in configuration.

__init__(expression: str) → None

Initialize self. See help(type(self)) for accurate signature.

bind(value: Any)
target
neuralmonkey.config.builder.build_config(config_dicts: Dict[str, Any], ignore_names: Set[str], warn_unused: bool = False) → Tuple[Dict[str, Any], Dict[str, Any]]

Build the model from the configuration.

Parameters:
  • config_dicts – The parsed configuration file
  • ignore_names – A set of names that should be ignored during the loading.
  • warn_unused – Emit a warning if there are unused sections.
Returns:

A tuple containing a dictionary corresponding to the main section and a dictionary mapping section names to objects.
neuralmonkey.config.builder.build_object(value: str, all_dicts: Dict[str, Any], existing_objects: Dict[str, Any], depth: int) → Any

Build an object from config dictionary of its arguments.

Works recursively.

Parameters:
  • value – Value that should be resolved (either a literal value or a config section name)
  • all_dicts – Configuration dictionaries used to find configuration of unconstructed objects.
  • existing_objects – Dictionary of already constructed objects.
  • depth – The current depth of recursion. Used to prevent an infinite
  • recursion. –
neuralmonkey.config.builder.instantiate_class(name: str, all_dicts: Dict[str, Any], existing_objects: Dict[str, Any], depth: int) → Any

Instantiate a class from the configuration.

Arguments: see help(build_object)