object TensorHelpers
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- @throws(classOf[java.lang.CloneNotSupportedException]) @IntrinsicCandidate() @native()
- def device(t: Tensor): Product with Device with Serializable
- final def eq(arg0: AnyRef): Boolean
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- def equals(arg0: AnyRef): Boolean
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- def fromByteArray(arr: Array[Byte], dim: Seq[Long], device: Device): Tensor
- 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 fromIntArray(arr: Array[Int], dim: Seq[Long], device: Device): Tensor
- def fromLongArray(arr: Array[Long], dim: Seq[Long], device: Device): Tensor
- def fromLongArray(arr: Array[Long], device: Device): Tensor
- def fromLongArrayOfArrays(arr: Array[Array[Long]], dim: Seq[Long], device: Device): Tensor
- def fromShortArray(arr: Array[Short], dim: Seq[Long], device: Device): Tensor
- final def getClass(): Class[_ <: AnyRef]
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- def hashCode(): Int
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- final def notify(): Unit
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- final def notifyAll(): Unit
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- def precision(t: Tensor): Option[Product with FloatingPointPrecision with Serializable]
- final def synchronized[T0](arg0: => T0): T0
- Definition Classes
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- def toByteArray(t0: Tensor): Array[Byte]
- def toDoubleArray(t0: Tensor): Array[Double]
- def toFloatArray(t0: Tensor): Array[Float]
- def toIntArray(t0: Tensor): Array[Int]
- def toLongArray(t0: Tensor): Array[Long]
- def toShortArray(t0: Tensor): Array[Short]
- def toString(): String
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- def unbroadcast(p: Tensor, desiredShape: List[Long]): Option[Tensor]
- final def wait(arg0: Long, arg1: Int): Unit
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- final def wait(arg0: Long): Unit
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- def finalize(): Unit
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- @throws(classOf[java.lang.Throwable]) @Deprecated
- Deprecated
(Since version 9)