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org.platanios.tensorflow.api.implicits.helpers
OutputToDataType
Companion trait OutputToDataType
object OutputToDataType
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- type Aux[T, DD] = OutputToDataType[T] { type D = DD }
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final
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- def apply[T](implicit ev: OutputToDataType[T]): Aux[T, D]
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asInstanceOf[T0]: T0
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- implicit def fromDataset[T, DD, SS](implicit arg0: OutputStructure[T], evOutputToDataType: Aux[T, DD], evOutputToShape: OutputToShape.Aux[T, SS]): Aux[Dataset[T], core.types.DataType[core.types.Variant]]
- implicit def fromHList[HT, HD, TT <: HList, TD <: HList](implicit evH: Strict[Aux[HT, HD]], evT: Strict[Aux[TT, TD]]): Aux[::[HT, TT], ::[HD, TD]]
- implicit val fromHNil: Aux[HNil, HNil]
- implicit def fromMap[K, T](implicit ev: OutputToDataType[T]): Aux[Map[K, T], Map[K, D]]
- implicit def fromOption[T](implicit ev: OutputToDataType[T]): Aux[Option[T], Option[D]]
- implicit def fromOutput[T]: Aux[ops.Output[T], core.types.DataType[T]]
- implicit def fromOutputIndexedSlices[T]: Aux[ops.OutputIndexedSlices[T], IndexedSlicesDataType[T]]
- implicit def fromProduct[PT <: Product, PD <: Product, HT <: HList, HD <: HList](implicit genT: shapeless.Generic.Aux[PT, HT], evT: Strict[Aux[HT, HD]], tuplerD: shapeless.ops.hlist.Tupler.Aux[HD, PD], genD: shapeless.Generic.Aux[PD, HD]): Aux[PT, PD]
- implicit def fromSeq[T](implicit ev: OutputToDataType[T]): Aux[Seq[T], Seq[D]]
- implicit def fromSparseOutput[T]: Aux[ops.SparseOutput[T], SparseDataType[T]]
- implicit def fromTensorArray[T]: Aux[ops.TensorArray[T], core.types.DataType[Float]]
- implicit val fromUnit: Aux[Unit, Unit]
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