case class TransformerEncoderBlock(attention: MultiheadAttention, layerNorm1: LayerNorm, layerNorm2: LayerNorm, w1: Constant, b1: Constant, w2: Constant, b2: Constant, dropout: Double, train: Boolean) extends GenericModule[(Variable, STen), Variable] with Product with Serializable
A single block of the transformer encoder as defined in Fig 10.7.1 in d2l v0.16
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Alias of forward
Alias of forward
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The implementation of the function.
The implementation of the function.
In addition of
xit can also use all thestate to compute its value.- Definition Classes
- TransformerEncoderBlock → GenericModule
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- final def gradients(loss: Variable, zeroGrad: Boolean = true): Seq[Option[STen]]
Computes the gradient of loss with respect to the parameters.
Computes the gradient of loss with respect to the parameters.
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- val layerNorm1: LayerNorm
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Returns the total number of optimizable parameters.
Returns the total number of optimizable parameters.
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Returns the state variables which need gradient computation.
Returns the state variables which need gradient computation.
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- def state: List[(Constant, LeafTag)]
List of optimizable, or non-optimizable, but stateful parameters
List of optimizable, or non-optimizable, but stateful parameters
Stateful means that the state is carried over the repeated forward calls.
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- TransformerEncoderBlock → GenericModule
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- val train: Boolean
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