case class BertPretrainModule(encoder: BertEncoder, mlm: MaskedLanguageModelModule, wholeSentenceBinaryClassifier: BertPretrainModule.MLP) extends GenericModule[BertPretrainInput, BertPretrainOutput] with Product with Serializable
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- new BertPretrainModule(encoder: BertEncoder, mlm: MaskedLanguageModelModule, wholeSentenceBinaryClassifier: BertPretrainModule.MLP)
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- final def !=(arg0: Any): Boolean
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- def apply[S](a: BertPretrainInput)(implicit arg0: Sc[S]): BertPretrainOutput
Alias of forward
Alias of forward
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- final def asInstanceOf[T0]: T0
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- val encoder: BertEncoder
- final def eq(arg0: AnyRef): Boolean
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- def forward[S](x: BertPretrainInput)(implicit arg0: Sc[S]): BertPretrainOutput
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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- BertPretrainModule → GenericModule
- final def getClass(): Class[_ <: AnyRef]
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- @IntrinsicCandidate() @native()
- 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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- GenericModule
- val mlm: MaskedLanguageModelModule
- final def ne(arg0: AnyRef): Boolean
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- final def notify(): Unit
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- final def notifyAll(): Unit
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- 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: List[(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
- BertPretrainModule → GenericModule
- final def synchronized[T0](arg0: => T0): T0
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- final def wait(arg0: Long, arg1: Int): Unit
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- val wholeSentenceBinaryClassifier: BertPretrainModule.MLP
- final def zeroGrad(): Unit
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- GenericModule
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- def finalize(): Unit
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- @throws(classOf[java.lang.Throwable]) @Deprecated
- Deprecated
(Since version 9)