mirror of https://github.com/explosion/spaCy.git
22 lines
732 B
Python
22 lines
732 B
Python
from thinc.api import chain, clone, list2ragged, reduce_mean, residual
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from thinc.api import Model, Maxout, Linear
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from ...util import registry
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@registry.architectures.register("spacy.EntityLinker.v1")
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def build_nel_encoder(tok2vec, nO=None):
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with Model.define_operators({">>": chain, "**": clone}):
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token_width = tok2vec.get_dim("nO")
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output_layer = Linear(nO=nO, nI=token_width)
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model = (
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tok2vec
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>> list2ragged()
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>> reduce_mean()
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>> residual(Maxout(nO=token_width, nI=token_width, nP=2, dropout=0.0))
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>> output_layer
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)
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model.set_ref("output_layer", output_layer)
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model.set_ref("tok2vec", tok2vec)
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return model
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