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hub / github.com/FLC777/GLAT / extract_features

Method extract_features

fairseq/models/fairseq_model.py:320–333  ·  view source on GitHub ↗

Similar to *forward* but only return features. Returns: tuple: - the decoder's features of shape `(batch, tgt_len, embed_dim)` - a dictionary with any model-specific outputs

(self, src_tokens, src_lengths, prev_output_tokens, **kwargs)

Source from the content-addressed store, hash-verified

318 return self.decoder(prev_output_tokens, **kwargs)
319
320 def extract_features(self, src_tokens, src_lengths, prev_output_tokens, **kwargs):
321 """
322 Similar to *forward* but only return features.
323
324 Returns:
325 tuple:
326 - the decoder's features of shape `(batch, tgt_len, embed_dim)`
327 - a dictionary with any model-specific outputs
328 """
329 encoder_out = self.encoder(src_tokens, src_lengths=src_lengths, **kwargs)
330 features = self.decoder.extract_features(
331 prev_output_tokens, encoder_out=encoder_out, **kwargs
332 )
333 return features
334
335 def output_layer(self, features, **kwargs):
336 """Project features to the default output size (typically vocabulary size)."""

Callers

nothing calls this directly

Calls 2

encoderMethod · 0.80
extract_featuresMethod · 0.45

Tested by

no test coverage detected