tfm.nlp.encoders.XLNetEncoderConfig

XLNet encoder configuration.

Inherits From: Config, ParamsDict

BUILDER

default_params Dataclass field
restrictions Dataclass field
vocab_size Dataclass field
num_layers Dataclass field
hidden_size Dataclass field
num_attention_heads Dataclass field
head_size Dataclass field
inner_size Dataclass field
inner_activation Dataclass field
dropout_rate Dataclass field
attention_dropout_rate Dataclass field
attention_type Dataclass field
bi_data Dataclass field
tie_attention_biases Dataclass field
memory_length Dataclass field
same_length Dataclass field
clamp_length Dataclass field
reuse_length Dataclass field
use_cls_mask Dataclass field
embedding_width Dataclass field
initializer_range Dataclass field
two_stream Dataclass field

Methods

as_dict

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Returns a dict representation of params_dict.ParamsDict.

For the nested params_dict.ParamsDict, a nested dict will be returned.

from_args

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Builds a config from the given list of arguments.

from_json

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Wrapper for from_yaml.

from_yaml

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get

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Accesses through built-in dictionary get method.

lock

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Makes the ParamsDict immutable.

override

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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

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

validate

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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__

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Implements the membership test operator.

__eq__

IMMUTABLE_TYPES (<class 'str'>, <class 'int'>, <class 'float'>, <class 'bool'>, <class 'NoneType'>)
RESERVED_ATTR ['_locked', '_restrictions']
SEQUENCE_TYPES (<class 'list'>, <class 'tuple'>)
attention_dropout_rate 0.1
attention_type 'bi'
bi_data False
clamp_length -1
default_params None
dropout_rate 0.1
embedding_width 1024
head_size 64
hidden_size 1024
initializer_range 0.02
inner_activation 'gelu'
inner_size 4096
memory_length 0
num_attention_heads 16
num_layers 24
restrictions None
reuse_length 0
same_length False
tie_attention_biases False
two_stream False
use_cls_mask False
vocab_size 32000