neuralmonkey.config package


neuralmonkey.config.builder module

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.

create() → typing.Any
neuralmonkey.config.builder.build_config(config_dicts: typing.Dict[str, typing.Any], ignore_names: typing.Set[str], warn_unused: bool = False) → typing.Dict[str, typing.Any]

Builds the model from the configuration

  • 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.
neuralmonkey.config.builder.build_object(value: str, all_dicts: typing.Dict[str, typing.Any], existing_objects: typing.Dict[str, typing.Any], depth: int) → typing.Any

Builds an object from config dictionary of its arguments. It works recursively.

  • 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.
  • ignore_names – Set of names that shoud be ignored.
  • depth – The current depth of recursion. Used to prevent an infinite
  • recursion.
neuralmonkey.config.builder.instantiate_class(name: str, all_dicts: typing.Dict[str, typing.Any], existing_objects: typing.Dict[str, typing.Any], depth: int) → typing.Any

Instantiate a class from the configuration

Arguments: see help(build_object)

neuralmonkey.config.configuration module

class neuralmonkey.config.configuration.Configuration

Bases: object

Loads the configuration file in an analogical way the python’s argparse.ArgumentParser works.

add_argument(name: str, required: bool = False, default: typing.Any = None, cond: typing.Callable[[typing.Any], bool] = None) → None
build_model(warn_unused=False) → None
ignore_argument(name: str) → None
load_file(path: str, changes: typing.Union[typing.List[str], NoneType] = None) → None
make_namespace(d_obj) → argparse.Namespace
save_file(path: str) → None

neuralmonkey.config.exceptions module

Module that contains exceptions handled in config parsing and loading

exception neuralmonkey.config.exceptions.ConfigBuildException(object_name: str, original_exception: Exception) → None

Bases: Exception

Exception caused by error in loading the model

exception neuralmonkey.config.exceptions.ConfigInvalidValueException(value: typing.Any, message: str) → None

Bases: Exception

exception neuralmonkey.config.exceptions.IniError(line: int, message: str, original_exc: typing.Union[Exception, NoneType] = None) → None

Bases: Exception

Exception caused by error in INI file syntax

neuralmonkey.config.parsing module

Module responsible for INI parsing

neuralmonkey.config.parsing.parse_file(config_file: typing.Iterable[str], changes: typing.Union[typing.Iterable[str], NoneType] = None) → typing.Tuple[typing.Dict[str, typing.Any], typing.Dict[str, typing.Any]]

Parses an INI file and creates all values

neuralmonkey.config.parsing.write_file(config_dict: typing.Dict[str, typing.Any], config_file: typing.IO[str]) → None

neuralmonkey.config.utils module

This module contains helper functions that are suppoosed to be called from the configuration file because calling the functions or the class constructors directly would be inconvinent or impossible.

neuralmonkey.config.utils.adadelta_optimizer(**kwargs) →
neuralmonkey.config.utils.adam_optimizer(learning_rate: float = 0.0001) →
neuralmonkey.config.utils.dataset_from_files(*args, **kwargs) → T
neuralmonkey.config.utils.deprecated(func: typing.Callable[..., T]) → typing.Callable[..., T]
neuralmonkey.config.utils.variable(initial_value=0, trainable: bool = False, **kwargs) → tensorflow.python.ops.variables.Variable
neuralmonkey.config.utils.vocabulary_from_bpe(*args, **kwargs) → T
neuralmonkey.config.utils.vocabulary_from_dataset(*args, **kwargs) → T
neuralmonkey.config.utils.vocabulary_from_file(*args, **kwargs) → T

Module contents