tfm.nlp.encoders.EncoderConfig

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Encoder configuration.

Inherits From: OneOfConfig, Config, ParamsDict

tfm.nlp.encoders.EncoderConfig(
    default_params: dataclasses.InitVar[Optional[Mapping[str, Any]]] = None,
    restrictions: dataclasses.InitVar[Optional[List[str]]] = None,
    type: Optional[str] = 'bert',
    albert: tfm.nlp.encoders.AlbertEncoderConfig = AlbertEncoderConfig(),
    bert: tfm.nlp.encoders.BertEncoderConfig = BertEncoderConfig(),
    bert_v2: tfm.nlp.encoders.BertEncoderConfig = BertEncoderConfig(),
    bigbird: tfm.nlp.encoders.BigBirdEncoderConfig = BigBirdEncoderConfig(),
    kernel: tfm.nlp.encoders.KernelEncoderConfig = KernelEncoderConfig(),
    mobilebert: tfm.nlp.encoders.MobileBertEncoderConfig = MobileBertEncoderConfig(),
    reuse: tfm.nlp.encoders.ReuseEncoderConfig = ReuseEncoderConfig(),
    xlnet: tfm.nlp.encoders.XLNetEncoderConfig = XLNetEncoderConfig(),
    query_bert: tfm.nlp.encoders.QueryBertConfig = QueryBertConfig(),
    fnet: tfm.nlp.encoders.FNetEncoderConfig = FNetEncoderConfig(),
    any: tfm.hyperparams.Config = hyperparams.Config()
)

BUILDER

default_params Dataclass field
restrictions Dataclass field
type Dataclass field
albert Dataclass field
bert Dataclass field
bert_v2 Dataclass field
bigbird Dataclass field
kernel Dataclass field
mobilebert Dataclass field
reuse Dataclass field
xlnet Dataclass field
query_bert Dataclass field
fnet Dataclass field
any Dataclass field

Methods

as_dict

View source

as_dict()

Returns a dict representation of OneOfConfig.

For the nested base_config.Config, a nested dict will be returned.

from_args

View source

@classmethod
from_args(
    *args, **kwargs
)

Builds a config from the given list of arguments.

from_json

View source

@classmethod
from_json(
    file_path: str
)

Wrapper for from_yaml.

from_yaml

View source

@classmethod
from_yaml(
    file_path: str
)

get

View source

get()

Returns selected config based on the value of type.

If type is not set (None), None is returned.

lock

View source

lock()

Makes the ParamsDict immutable.

override

View source

override(
    override_params, is_strict=True
)

Override the ParamsDict with a set of given params.

Args
override_params a dict or a ParamsDict specifying the parameters to be overridden.
is_strict a boolean specifying whether override is strict or not. If True, keys in override_params must be present in the ParamsDict. If False, keys in override_params can be different from what is currently defined in the ParamsDict. In this case, the ParamsDict will be extended to include the new keys.

replace

View source

replace(
    **kwargs
)

Overrides/returns a unlocked copy with the current config unchanged.

validate

View source

validate()

Validate the parameters consistency based on the restrictions.

This method validates the internal consistency using the pre-defined list of restrictions. A restriction is defined as a string which specfiies a binary operation. The supported binary operations are {'==', '!=', '<', '<=', '>', '>='}. Note that the meaning of these operators are consistent with the underlying Python immplementation. Users should make sure the define restrictions on their type make sense.

For example, for a ParamsDict like the following

a:
  a1: 1
  a2: 2
b:
  bb:
    bb1: 10
    bb2: 20
  ccc:
    a1: 1
    a3: 3

one can define two restrictions like this ['a.a1 == b.ccc.a1', 'a.a2 <= b.bb.bb2']

What it enforces are

  • a.a1 = 1 == b.ccc.a1 = 1
  • a.a2 = 2 <= b.bb.bb2 = 20

Raises
KeyError if any of the following happens (1) any of parameters in any of restrictions is not defined in ParamsDict, (2) any inconsistency violating the restriction is found.
ValueError if the restriction defined in the string is not supported.

__contains__

View source

__contains__(
    key
)

Implements the membership test operator.

__eq__

__eq__(
    other
)

IMMUTABLE_TYPES (<class 'str'>, <class 'int'>, <class 'float'>, <class 'bool'>, <class 'NoneType'>)
RESERVED_ATTR ['_locked', '_restrictions']
SEQUENCE_TYPES (<class 'list'>, <class 'tuple'>)
albert Instance of tfm.nlp.encoders.AlbertEncoderConfig
any Instance of tfm.hyperparams.Config
bert Instance of tfm.nlp.encoders.BertEncoderConfig
bert_v2 Instance of tfm.nlp.encoders.BertEncoderConfig
bigbird Instance of tfm.nlp.encoders.BigBirdEncoderConfig
default_params None
fnet Instance of tfm.nlp.encoders.FNetEncoderConfig
kernel Instance of tfm.nlp.encoders.KernelEncoderConfig
mobilebert Instance of tfm.nlp.encoders.MobileBertEncoderConfig
query_bert Instance of tfm.nlp.encoders.QueryBertConfig
restrictions None
reuse Instance of tfm.nlp.encoders.ReuseEncoderConfig
type 'bert'
xlnet Instance of tfm.nlp.encoders.XLNetEncoderConfig