object Sparse extends Sparse
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- def add[T, TR](x: SparseOutput[T], y: SparseOutput[T], threshold: Output[TR], name: String = "SparseAdd")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T], arg2: core.types.TF[TR], arg3: core.types.IsReal[TR]): SparseOutput[T]
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- final def asInstanceOf[T0]: T0
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- @throws(classOf[java.lang.CloneNotSupportedException]) @native() @HotSpotIntrinsicCandidate()
- def denseAdd[T](x: SparseOutput[T], y: Output[T], name: String = "SparseDenseAdd")(implicit arg0: core.types.TF[T], arg1: core.types.IsNumeric[T]): Output[T]
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- final def eq(arg0: AnyRef): Boolean
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- final def getClass(): Class[_ <: AnyRef]
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- def hashCode(): Int
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- final def isInstanceOf[T0]: Boolean
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- def merge[T, I](sparseIndices: Seq[SparseOutput[I]], sparseValues: SparseOutput[T], depths: Seq[tensors.Tensor[Long]], alreadySorted: Boolean = false, name: String = "SparseMerge")(implicit arg0: core.types.TF[T], arg1: core.types.TF[I], arg2: core.types.IsIntOrLong[I]): SparseOutput[T]
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- @throws(scala.this.throws.<init>$default$1[org.platanios.tensorflow.api.core.exception.InvalidArgumentException])
- 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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- def reorder[T](sparseInput: SparseOutput[T], name: String = "SparseReorder")(implicit arg0: core.types.TF[T]): SparseOutput[T]
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- final def synchronized[T0](arg0: => T0): T0
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- final def wait(arg0: Long, arg1: Int): Unit
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