case class GraphAttention(wNodeKey1: Constant, wNodeKey2: Constant, wEdgeKey: Constant, wNodeValue: Constant, wAttention: Option[Constant], nonLinearity: Boolean, dropout: Dropout, numHeads: Int) extends GenericModule[Graph, Graph] with Product with Serializable
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- def apply[S](a: Graph)(implicit arg0: Sc[S]): Graph
Alias of forward
Alias of forward
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- val dropout: Dropout
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- def forward[S](x: Graph)(implicit arg0: Sc[S]): Graph
The implementation of the function.
The implementation of the function.
In addition of
x
it can also use all thestate to compute its value.
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- GraphAttention → GenericModule
- final def getClass(): Class[_ <: AnyRef]
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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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- final def learnableParameters: Long
Returns the total number of optimizable parameters.
Returns the total number of optimizable parameters.
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- final def ne(arg0: AnyRef): Boolean
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- val nonLinearity: Boolean
- final def notify(): Unit
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- final def notifyAll(): Unit
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- val numHeads: Int
- final def parameters: Seq[(Constant, PTag)]
Returns the state variables which need gradient computation.
Returns the state variables which need gradient computation.
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- GenericModule
- def productElementNames: Iterator[String]
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- def state: Seq[(Constant, PTag)]
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.
- Definition Classes
- GraphAttention → GenericModule
- final def synchronized[T0](arg0: => T0): T0
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- val wAttention: Option[Constant]
- val wEdgeKey: Constant
- val wNodeKey1: Constant
- val wNodeKey2: Constant
- val wNodeValue: Constant
- final def wait(arg0: Long, arg1: Int): Unit
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- Deprecated
(Since version 9)