abstract class UndefinedTensorNumeric[T] extends TensorNumeric[T]
define tensor math operation
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- TensorNumeric
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Instance Constructors
- new UndefinedTensorNumeric(typeName: String)
Value Members
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final
def
!=(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
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final
def
##(): Int
- Definition Classes
- AnyRef → Any
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final
def
==(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
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def
abs(x: T): T
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
add(n: Int, a: Array[T], offset: Int, v: T, stride: Int): Unit
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
addcdiv(value: T, n: Int, self: Array[T], selfOffset: Int, a: Array[T], aOffset: Int, b: Array[T], bOffset: Int): Unit
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
addcmul(value: T, n: Int, self: Array[T], selfOffset: Int, a: Array[T], aOffset: Int, b: Array[T], bOffset: Int): Unit
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
and(x: T, y: T): T
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
arraycopy(src: Array[T], srcPos: Int, dest: Array[T], destPos: Int, length: Int): Unit
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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final
def
asInstanceOf[T0]: T0
- Definition Classes
- Any
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def
axpy(n: Int, da: T, dx: Array[T], _dx_offset: Int, incx: Int, dy: Array[T], _dy_offset: Int, incy: Int): Unit
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
ceil(a: T): T
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
clip(a: T, lower: T, upper: T): T
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
clone(): AnyRef
- Attributes
- protected[java.lang]
- Definition Classes
- AnyRef
- Annotations
- @native() @throws( ... )
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def
digamma(v: T): T
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
divide(x: T, y: T): T
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
dot(n: Int, dx: Array[T], _dx_offset: Int, incx: Int, dy: Array[T], _dy_offset: Int, incy: Int): T
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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final
def
eq(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
def
equals(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
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def
erf(x: T): T
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
erfc(x: T): T
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
exp(x: T): T
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
fill(data: Array[T], fromIndex: Int, toIndex: Int, value: T): Unit
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
finalize(): Unit
- Attributes
- protected[java.lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( classOf[java.lang.Throwable] )
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def
floor(a: T): T
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
floorDiv(a: T, b: T): T
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
fromType[K](k: K)(implicit c: ConvertableFrom[K]): T
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
gemm(transa: Char, transb: Char, m: Int, n: Int, k: Int, alpha: T, a: Array[T], aOffset: Int, lda: Int, b: Array[T], bOffset: Int, ldb: Int, beta: T, c: Array[T], cOffset: Int, ldc: Int): Unit
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
gemv(trans: Char, m: Int, n: Int, alpha: T, a: Array[T], aoffset: Int, lda: Int, x: Array[T], xOffset: Int, incx: Int, beta: T, y: Array[T], yOffset: Int, incy: Int): Unit
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
ger(m: Int, n: Int, alpha: T, x: Array[T], _x_offset: Int, incx: Int, y: Array[T], _y_offset: Int, incy: Int, a: Array[T], _a_offset: Int, lda: Int): Unit
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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final
def
getClass(): Class[_]
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
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def
getType(): TensorDataType
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
hashCode(): Int
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
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def
inv(v: T): T
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
isFinite(a: T): Boolean
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
isGreater(x: T, y: T): Boolean
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
isGreaterEq(x: T, y: T): Boolean
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
isInf(a: T): Boolean
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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final
def
isInstanceOf[T0]: Boolean
- Definition Classes
- Any
-
def
isNan(a: T): Boolean
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
log(x: T): T
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
log1p(x: T): T
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
logGamma(v: T): T
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
max(x: T, y: T): T
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
min(x: T, y: T): T
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
minus(x: T, y: T): T
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
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def
nearlyEqual(a: T, b: T, epsilon: Double): Boolean
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
negative(x: T): T
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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final
def
notify(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
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final
def
notifyAll(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
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def
one: T
- Definition Classes
- TensorNumeric
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def
or(x: T, y: T): T
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
plus(x: T, y: T): T
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
pow(x: T, y: T): T
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
pow(x: T): T
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
prod(n: Int, a: Array[T], aOffset: Int, stride: Int): T
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
rand(): T
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
randn(): T
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
round(a: T): T
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
scal(n: Int, sa: T, sx: Array[T], offset: Int, incx: Int): Unit
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
sqrt(x: T): T
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
sub(n: Int, a: Array[T], offset: Int, v: T, stride: Int): Unit
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
sum(n: Int, a: Array[T], aOffset: Int, stride: Int): T
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
- AnyRef
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def
tanh(x: T): T
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
times(x: T, y: T): T
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
toString(): String
- Definition Classes
- AnyRef → Any
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def
toType[K](t: T)(implicit c: ConvertableTo[K]): K
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
truncate(a: T): T
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
vAbs(n: Int, a: Array[T], aOffset: Int, y: Array[T], yOffset: Int): Unit
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
vAdd(n: Int, a: Array[T], aOffset: Int, b: Array[T], bOffset: Int, y: Array[T], yOffset: Int): Unit
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
vDiv(n: Int, a: Array[T], aOffset: Int, b: Array[T], bOffset: Int, y: Array[T], yOffset: Int): Unit
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
vExp(n: Int, a: Array[T], aOffset: Int, y: Array[T], yOffset: Int): Unit
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
vLn(n: Int, a: Array[T], aOffset: Int, y: Array[T], yOffset: Int): Unit
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
vLog1p(n: Int, a: Array[T], aOffset: Int, y: Array[T], yOffset: Int): Unit
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
vMul(n: Int, a: Array[T], aOffset: Int, b: Array[T], bOffset: Int, y: Array[T], yOffset: Int): Unit
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
vPowx(n: Int, a: Array[T], aOffset: Int, b: T, y: Array[T], yOffset: Int): Unit
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
vSqrt(n: Int, a: Array[T], aOffset: Int, y: Array[T], yOffset: Int): Unit
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
vSub(n: Int, a: Array[T], aOffset: Int, b: Array[T], bOffset: Int, y: Array[T], yOffset: Int): Unit
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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def
vTanh(n: Int, a: Array[T], aOffset: Int, y: Array[T], yOffset: Int): Unit
- Definition Classes
- UndefinedTensorNumeric → TensorNumeric
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final
def
wait(): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
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final
def
wait(arg0: Long, arg1: Int): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
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final
def
wait(arg0: Long): Unit
- Definition Classes
- AnyRef
- Annotations
- @native() @throws( ... )
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def
zero: T
- Definition Classes
- TensorNumeric