tensor

Type Members

1. trait ConvertableFrom[A] extends AnyRef

   

   Conversions from type.

   Conversions from type.

   An object implementing ConvertableFrom[A] provides methods to go from A to number types (and String).

2. trait ConvertableFromBoolean extends ConvertableFrom[Boolean]

   

3. trait ConvertableFromChar extends ConvertableFrom[Char]

   

4. trait ConvertableFromDouble extends ConvertableFrom[Double]

   

5. trait ConvertableFromFloat extends ConvertableFrom[Float]

   

6. trait ConvertableFromInt extends ConvertableFrom[Int]

   

7. trait ConvertableFromLong extends ConvertableFrom[Long]

   

8. trait ConvertableFromShort extends ConvertableFrom[Short]

   

9. trait ConvertableFromString extends ConvertableFrom[String]

   

10. trait ConvertableTo[A] extends AnyRef

    

    Conversions to type.

    Conversions to type.

    An object implementing ConvertableTo[A] provides methods to go from number types to A.

11. trait ConvertableToDouble extends ConvertableTo[Double]

    

12. trait ConvertableToFloat extends ConvertableTo[Float]

    

13. trait ConvertableToInt extends ConvertableTo[Int]

    

14. trait ConvertableToLong extends ConvertableTo[Long]

    

15. trait ConvertableToShort extends ConvertableTo[Short]

    

16. class DnnTensor[T] extends DnnTensorUnsupportOperations[T]

    

17. abstract class QuantizedTensorUnsupported[T] extends Tensor[T]

    

18. trait Storage[T] extends Iterable[T] with Serializable

    

    Storage defines a simple storage interface that controls the underlying storage for any tensor object.

19. trait Tensor[T] extends Serializable with TensorMath[T] with Activity

    

    It is the class for handling numeric data.

    It is the class for handling numeric data.

    T

    should be Double or Float

20. sealed trait TensorDataType extends Serializable

    

    Numeric type of tensor.

21. trait TensorDiffTypeFunc4[A, T] extends AnyRef

    

    Tensor function contain four parameters with differentType

22. trait TensorDiffTypeFunc6[A, B, T] extends AnyRef

    

    Tensor function contain six parameters with differentType

23. trait TensorFunc2[T] extends AnyRef

    

    Tensor function contain two parameters.

24. trait TensorFunc4[T] extends AnyRef

    

    Tensor function contain four parameters.

25. trait TensorFunc6[T] extends AnyRef

    

    Tensor function contain six parameters.

26. trait TensorMath[T] extends AnyRef

    

    It provides multiple math operation functions for manipulating Tensor objects.

    It provides multiple math operation functions for manipulating Tensor objects. All functions support both allocating a new Tensor to return the result and treating the caller as a target Tensor, in which case the target Tensor(s) will be resized accordingly and filled with the result. This property is especially useful when one wants to have tight control over when memory is allocated.

    T

    should be double or float

27. class TensorNumericMath extends AnyRef

    

    class of math operation

28. sealed trait TensorType extends AnyRef