Object/Class

org.platanios.tensorflow.api.tensors

Tensor

Related Docs: class Tensor | package tensors

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object Tensor

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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. def apply[T](dataType: types.DataType, head: T, tail: T*)(implicit ev: TensorConvertible[T]): Tensor

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  5. def apply[T](dataType: types.DataType): Tensor

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  6. def apply[T](head: T, tail: T*)(implicit ev: TensorConvertible[T]): Tensor

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  7. final def asInstanceOf[T0]: T0

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  8. def clone(): AnyRef

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

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  10. def equals(arg0: Any): Boolean

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  11. def fill[T](dataType: types.DataType = null, shape: core.Shape = Shape())(value: T)(implicit ev: SupportedType[T]): Tensor

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  12. def finalize(): Unit

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  13. def fromBuffer(dataType: types.DataType, shape: core.Shape, numBytes: Long, buffer: ByteBuffer): Tensor

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

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  15. def hashCode(): Int

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  16. final def isInstanceOf[T0]: Boolean

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  17. def makeProto(value: Tensor, dataType: types.DataType = null, shape: core.Shape = null)(implicit context: DynamicVariable[Context]): TensorProto

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

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  19. final def notify(): Unit

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  20. final def notifyAll(): Unit

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  21. def ones(dataType: types.DataType, shape: core.Shape): Tensor

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  22. def onesLike(tensor: Tensor): Tensor

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  23. def rand(dataType: types.DataType = FLOAT32, shape: Tensor = Shape.scalar(), minValue: Tensor = 0.0, maxValue: Tensor = 1.0, seed: Option[Int] = None): Tensor

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  24. def randn(dataType: types.DataType = FLOAT32, shape: Tensor = Shape.scalar(), mean: Tensor = 0.0, standardDeviation: Tensor = 1.0, seed: Option[Int] = None): Tensor

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

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  26. def toString(): String

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  27. final def wait(): Unit

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

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

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  30. def zeros(dataType: types.DataType, shape: core.Shape): Tensor

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  31. def zerosLike(tensor: Tensor): Tensor

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