Packages

trait InlineTensor extends Tensor

An intermediate expression of tensor that can be composed into a more complex expression.

Self Type
InlineTensor
Source
Tensors.scala
Linear Supertypes
Tensor, AnyRef, Any
Known Subclasses
TransformedTensor
Type Hierarchy
Ordering
  1. Grouped
  2. Alphabetic
  3. By Inheritance
Inherited
  1. InlineTensor
  2. Tensor
  3. AnyRef
  4. Any
Implicitly
  1. by any2stringadd
  2. by StringFormat
  3. by Ensuring
  4. by ArrowAssoc
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Visibility
  1. Public
  2. All

Abstract Value Members

  1. abstract val closure: (trees)#FloatTerm
    Attributes
    protected
    Definition Classes
    Tensor
  2. abstract def padding: Float

    Definition Classes
    Tensor
  3. abstract def shape: Array[Int]

    Returns the sizes of each dimension of this Tensor.

    Returns the sizes of each dimension of this Tensor.

    Definition Classes
    Tensor
    Note

    The returned array should be considered as immutable. Changing the array is an undefined behavior.

    ,

    The return value will be Array.empty if this Tensor is a scalar.

Concrete Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. def %(rightHandSide: Tensor): InlineTensor

    Definition Classes
    Tensor
  4. def *(rightHandSide: Tensor): InlineTensor

    Definition Classes
    Tensor
  5. def +(rightHandSide: Tensor): InlineTensor

    Definition Classes
    Tensor
  6. def -(rightHandSide: Tensor): InlineTensor

    Definition Classes
    Tensor
  7. def ->[B](y: B): (InlineTensor, B)
    Implicit
    This member is added by an implicit conversion from InlineTensor to ArrowAssoc[InlineTensor] performed by method ArrowAssoc in scala.Predef.
    Definition Classes
    ArrowAssoc
    Annotations
    @inline()
  8. def /(rightHandSide: Tensor): InlineTensor

    Definition Classes
    Tensor
  9. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  10. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  11. def broadcast(newShape: Array[Int]): TransformedTensor

    Definition Classes
    Tensor
  12. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )
  13. def ensuring(cond: (InlineTensor) ⇒ Boolean, msg: ⇒ Any): InlineTensor
    Implicit
    This member is added by an implicit conversion from InlineTensor to Ensuring[InlineTensor] performed by method Ensuring in scala.Predef.
    Definition Classes
    Ensuring
  14. def ensuring(cond: (InlineTensor) ⇒ Boolean): InlineTensor
    Implicit
    This member is added by an implicit conversion from InlineTensor to Ensuring[InlineTensor] performed by method Ensuring in scala.Predef.
    Definition Classes
    Ensuring
  15. def ensuring(cond: Boolean, msg: ⇒ Any): InlineTensor
    Implicit
    This member is added by an implicit conversion from InlineTensor to Ensuring[InlineTensor] performed by method Ensuring in scala.Predef.
    Definition Classes
    Ensuring
  16. def ensuring(cond: Boolean): InlineTensor
    Implicit
    This member is added by an implicit conversion from InlineTensor to Ensuring[InlineTensor] performed by method Ensuring in scala.Predef.
    Definition Classes
    Ensuring
  17. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  18. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  19. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  20. def flatArray: Future[Array[Trees.FloatTrees.FloatTerm.JvmValue]]

    Returns an asynchronous task to read this Tensor into a scala.Array, which is linearized in row-majoy order.

    Returns an asynchronous task to read this Tensor into a scala.Array, which is linearized in row-majoy order.

    Definition Classes
    Tensor
  21. def flatBuffer: Do[FloatBuffer]

    Returns a RAII managed asynchronous task to read this Tensor into an off-heap memory, which is linearized in row-majoy order.

    Returns a RAII managed asynchronous task to read this Tensor into an off-heap memory, which is linearized in row-majoy order.

    Definition Classes
    Tensor
  22. def formatted(fmtstr: String): String
    Implicit
    This member is added by an implicit conversion from InlineTensor to StringFormat[InlineTensor] performed by method StringFormat in scala.Predef.
    Definition Classes
    StringFormat
    Annotations
    @inline()
  23. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  24. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  25. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  26. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  27. def nonInline: NonInlineTensor

    Definition Classes
    InlineTensor → Tensor
  28. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  29. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  30. def permute(dimensions: Array[Int]): TransformedTensor

    Definition Classes
    Tensor
  31. def reshape(newShape: Array[Int]): NonInlineTensor

    Returns a new Tensor of new shape and the same data of this Tensor.

    Returns a new Tensor of new shape and the same data of this Tensor.

    Definition Classes
    Tensor
    Note

    The data in this Tensor is considered as row-major order when reshape. You can create another column-major version reshape by reversing the shape:

    def columnMajorReshape[Category <: Tensors](tensor: Category#Tensor, newShape: Array[Int]): Category#Tensor = {
  tensor.permute(tensor.shape.indices.reverse.toArray).reshape(newShape.reverse).permute(newShape.indices.reverse.toArray)
}
  32. def scale(newShape: Array[Int]): TransformedTensor

    Definition Classes
    Tensor
  33. def split(dimension: Int): IndexedSeq[TransformedTensor]

    Definition Classes
    Tensor
  34. def sum: NonInlineTensor

    Definition Classes
    Tensor
  35. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  36. def toString(): String

    Definition Classes
    Tensor → AnyRef → Any
  37. def translate(offset: Array[Double], newShape: Array[Int] = shape): TransformedTensor

    Definition Classes
    Tensor
  38. def unary_+: InlineTensor.this.type

    Definition Classes
    Tensor
  39. def unary_-: InlineTensor

    Definition Classes
    Tensor
  40. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  41. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  42. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )
  43. def →[B](y: B): (InlineTensor, B)
    Implicit
    This member is added by an implicit conversion from InlineTensor to ArrowAssoc[InlineTensor] performed by method ArrowAssoc in scala.Predef.
    Definition Classes
    ArrowAssoc

Shadowed Implicit Value Members

  1. def +(other: String): String
    Implicit
    This member is added by an implicit conversion from InlineTensor to any2stringadd[InlineTensor] performed by method any2stringadd in scala.Predef.
    Shadowing
    This implicitly inherited member is shadowed by one or more members in this class.
    To access this member you can use a type ascription:
    (inlineTensor: any2stringadd[InlineTensor]).+(other)
    Definition Classes
    any2stringadd

Inherited from Tensor

Inherited from AnyRef

Inherited from Any

Inherited by implicit conversion any2stringadd from InlineTensor to any2stringadd[InlineTensor]

Inherited by implicit conversion StringFormat from InlineTensor to StringFormat[InlineTensor]

Inherited by implicit conversion Ensuring from InlineTensor to Ensuring[InlineTensor]

Inherited by implicit conversion ArrowAssoc from InlineTensor to ArrowAssoc[InlineTensor]

General information

Methods that provides general information of this Tensor.

Slow actions

Actions that can actually perform delayed operations in order to read the data from the device to JVM, or change the internal state of this Tensor.

Delayed operators

Operators that return new Tensors of delay-evaluated computational graphs. The actually computation will be only performed when Slow actions are called.

Ungrouped