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com.intel.analytics.bigdl.nn

Module

Related Doc: package nn

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object Module

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  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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  6. final def eq(arg0: AnyRef): Boolean

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  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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  9. def flatten[T](parameters: Array[Tensor[T]])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]

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  10. final def getClass(): Class[_]

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  11. def hashCode(): Int

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  12. def isCompact[T](paramters: Array[Tensor[T]])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]

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  13. final def isInstanceOf[T0]: Boolean

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  14. def load[T](path: String)(implicit arg0: ClassTag[T]): AbstractModule[Activity, Activity, T]

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  15. def loadCaffe[T](model: AbstractModule[Activity, Activity, T], defPath: String, modelPath: String, matchAll: Boolean = true)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): AbstractModule[Activity, Activity, T]

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  16. def loadTorch[T](path: String)(implicit arg0: ClassTag[T]): AbstractModule[Activity, Activity, T]

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  17. final def ne(arg0: AnyRef): Boolean

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  18. final def notify(): Unit

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  19. final def notifyAll(): Unit

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  20. final def synchronized[T0](arg0: ⇒ T0): T0

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  21. def toString(): String

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  22. final def wait(): Unit

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  23. final def wait(arg0: Long, arg1: Int): Unit

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  24. final def wait(arg0: Long): Unit

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