case class FreeRunningRNN[T, M <: StatefulModule[Variable, Variable, T]](module: M with StatefulModule[Variable, Variable, T], timeSteps: Int) extends StatefulModule[Variable, Variable, T] with Product with Serializable
Wraps a (sequence x batch) long -> (sequence x batch x dim) double stateful
module and runs in it greedy (argmax) generation mode over timeSteps
steps.
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- new FreeRunningRNN(module: M with StatefulModule[Variable, Variable, T], timeSteps: Int)
Value Members
- final def !=(arg0: Any): Boolean
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- final def ##: Int
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- def apply[S](a: (Variable, T))(implicit arg0: Sc[S]): (Variable, T)
Alias of forward
Alias of forward
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- final def asInstanceOf[T0]: T0
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- final def eq(arg0: AnyRef): Boolean
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- def forward[S](x: (Variable, T))(implicit arg0: Sc[S]): (Variable, T)
The implementation of the function.
The implementation of the function.
In addition of
x
it can also use all thestate to compute its value.
- Definition Classes
- FreeRunningRNN → GenericModule
- final def getClass(): Class[_ <: AnyRef]
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- AnyRef → Any
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- @native() @IntrinsicCandidate()
- 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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- GenericModule
- final def isInstanceOf[T0]: Boolean
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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
- def loop[S](lastOutput: Variable, lastState: T, n: Int, buffer: Seq[Variable])(implicit arg0: Sc[S]): (Seq[Variable], T)
- val module: M with StatefulModule[Variable, Variable, T]
- 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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- @native() @IntrinsicCandidate()
- final def parameters: Seq[(Constant, PTag)]
Returns the state variables which need gradient computation.
Returns the state variables which need gradient computation.
- Definition Classes
- GenericModule
- def productElementNames: Iterator[String]
- Definition Classes
- Product
- 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
- FreeRunningRNN → GenericModule
- final def synchronized[T0](arg0: => T0): T0
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- val timeSteps: Int
- final def wait(arg0: Long, arg1: Int): Unit
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- @throws(classOf[java.lang.InterruptedException])
- final def wait(arg0: Long): Unit
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- final def wait(): Unit
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- 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
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