object TensorHelpers
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- @throws(classOf[java.lang.CloneNotSupportedException]) @native()
- def device(t: Tensor): Product with Device with Serializable
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- def fromDoubleArray(arr: Array[Double], dim: Seq[Long], device: Device, precision: FloatingPointPrecision): Tensor
- def fromFloatArray(arr: Array[Float], dim: Seq[Long], device: Device): Tensor
- def fromFloatMat(m: Mat[Float], device: Device): Tensor
- def fromLongArray(arr: Array[Long], dim: Seq[Long], device: Device): Tensor
- def fromLongMat(m: Mat[Long], device: Device): Tensor
- def fromLongMat(m: Mat[Long], cuda: Boolean = false): Tensor
- def fromLongVec(m: Vec[Long], device: Device): Tensor
- def fromLongVec(m: Vec[Long], cuda: Boolean = false): Tensor
- def fromMat(m: Mat[Double], device: Device, precision: FloatingPointPrecision): Tensor
- def fromMat(m: Mat[Double], cuda: Boolean = false): Tensor
- def fromMatList(m: Seq[Mat[Double]], device: Device, precision: FloatingPointPrecision): Tensor
- def fromMatList(m: Seq[Mat[Double]], cuda: Boolean = false): Tensor
- def fromVec(m: Vec[Double], device: Device, precision: FloatingPointPrecision): Tensor
- def fromVec(m: Vec[Double], cuda: Boolean = false): Tensor
- final def getClass(): Class[_ <: AnyRef]
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- def precision(t: Tensor): Option[Product with FloatingPointPrecision with Serializable]
- final def synchronized[T0](arg0: => T0): T0
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- def toFloatMat(t0: Tensor): Mat[Float]
- def toFloatVec(t0: Tensor): Vec[Float]
- def toLongMat(t0: Tensor): Mat[Long]
- def toLongVec(t0: Tensor): Vec[Long]
- def toMat(t0: Tensor): Mat[Double]
- def toString(): String
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- def toVec(t0: Tensor): Vec[Double]
- def unbroadcast(p: Tensor, desiredShape: List[Long]): Option[Tensor]
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- final def wait(arg0: Long): Unit
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