case class LanguageModelOutput(encoded: Variable, languageModelLogits: Variable) extends Product with Serializable
Output of LM
- encoded
encoded: float tensor of size (batch, sequence length, embedding dimension) holds per token embeddings
- languageModelLogits
float tensor of size (batch, sequence length, vocabulary size) holds per token logits. Use logSoftMax(dim=2) to get log probabilities.
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- new LanguageModelOutput(encoded: Variable, languageModelLogits: Variable)
- encoded
encoded: float tensor of size (batch, sequence length, embedding dimension) holds per token embeddings
- languageModelLogits
float tensor of size (batch, sequence length, vocabulary size) holds per token logits. Use logSoftMax(dim=2) to get log probabilities.
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- val encoded: Variable
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- val languageModelLogits: Variable
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- def toSTen: LanguageModelOutputNonVariable
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- Deprecated
(Since version 9)