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pass_through_token_embedder

allennlp.modules.token_embedders.pass_through_token_embedder

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PassThroughTokenEmbedder#

@TokenEmbedder.register("pass_through")
class PassThroughTokenEmbedder(TokenEmbedder):
 | def __init__(self, hidden_dim: int) -> None

Assumes that the input is already vectorized in some way, and just returns it.

Registered as a TokenEmbedder with name "pass_through".

Parameters

  • hidden_dim : int

get_output_dim#

class PassThroughTokenEmbedder(TokenEmbedder):
 | ...
 | def get_output_dim(self)

forward#

class PassThroughTokenEmbedder(TokenEmbedder):
 | ...
 | def forward(self, tokens: torch.Tensor) -> torch.Tensor