object TransformerDecoder extends Serializable
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- def apply[S](numBlocks: Int, in: Int, attentionHiddenPerHeadDim: Int, attentionNumHeads: Int, mlpHiddenDim: Int, dropout: Double, tOpt: STenOptions, linearized: Boolean, decoderDecoderCausalMask: Boolean, encoderDecoderCausalMask: Boolean)(implicit arg0: Sc[S]): TransformerDecoder
Factory for the decoder module of transformer.
Factory for the decoder module of transformer. Does *not* include initial embedding or position encoding.
- numBlocks
number of transformer blocks to create (layers)
- in
input dimension
- attentionHiddenPerHeadDim
size of hidden attention dimension of each attention head
- attentionNumHeads
number of attention heads
- mlpHiddenDim
size of hidden dimension of the two layer perceptron
- dropout
dropout rate
- tOpt
tensor options
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- implicit val load: Load[TransformerDecoder]
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- implicit val trainingMode: TrainingMode[TransformerDecoder]
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- Deprecated
(Since version 9)