object DenseTensorMath
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final
def
!=(arg0: Any): Boolean
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final
def
##(): Int
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final
def
==(arg0: Any): Boolean
- Definition Classes
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- def add[T](self: DenseTensor[T], t: Tensor[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]
- def add[T](s: T, t: DenseTensor[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]
- def addmm[T](r: Tensor[T], beta: T, t: Tensor[T], alpha: T, m1: Tensor[T], m2: Tensor[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]
- def addmv[T](r: Tensor[T], beta: T, t: Tensor[T], alpha: T, mat: Tensor[T], vec: Tensor[T])(implicit ev: TensorNumeric[T]): Tensor[T]
- def addr[T](r: Tensor[T], beta: T, t: Tensor[T], alpha: T, vec1: Tensor[T], vec2: Tensor[T])(implicit ev: TensorNumeric[T]): Tensor[T]
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final
def
asInstanceOf[T0]: T0
- Definition Classes
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- def baddbmm[T](result: Tensor[T], beta: T, M: Tensor[T], alpha: T, batch1: Tensor[T], batch2: Tensor[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]
- def cadd[T](self: DenseTensor[T], x: Tensor[T], value: T, y: Tensor[T])(implicit ev: TensorNumeric[T]): Tensor[T]
- def cdiv[T](self: DenseTensor[T], x: Tensor[T], y: Tensor[T])(implicit ev: TensorNumeric[T]): Tensor[T]
-
def
clone(): AnyRef
- Attributes
- protected[java.lang]
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- @native() @throws( ... )
- def cmax[T](self: DenseTensor[T], x: Tensor[T], y: Tensor[T])(implicit ev: TensorNumeric[T]): Tensor[T]
- def cmin[T](self: DenseTensor[T], x: Tensor[T], y: Tensor[T])(implicit ev: TensorNumeric[T]): Tensor[T]
- def cmul[T](self: DenseTensor[T], x: DenseTensor[T], y: DenseTensor[T])(implicit ev: TensorNumeric[T]): Tensor[T]
- def csub[T](self: DenseTensor[T], x: Tensor[T], value: T, y: Tensor[T])(implicit ev: TensorNumeric[T]): Tensor[T]
- def divide[T](self: DenseTensor[T], t: Tensor[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]
- def divide[T](s: T, t: DenseTensor[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]
- val doubleEpsilon: Double
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final
def
eq(arg0: AnyRef): Boolean
- Definition Classes
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def
equals(arg0: Any): Boolean
- Definition Classes
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- def exp[T](self: DenseTensor[T], x: Tensor[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]
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def
finalize(): Unit
- Attributes
- protected[java.lang]
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- val floatEpsilon: Double
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final
def
getClass(): Class[_]
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def
hashCode(): Int
- Definition Classes
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final
def
isInstanceOf[T0]: Boolean
- Definition Classes
- Any
- def log[T](self: DenseTensor[T], x: Tensor[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]
- def log1p[T](self: DenseTensor[T], x: Tensor[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]
- def maxAll[T](self: DenseTensor[T])(implicit ev: TensorNumeric[T]): T
- def mean[T](self: DenseTensor[T], _dim: Int)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]
- def meanAll[T](self: DenseTensor[T])(implicit ev: TensorNumeric[T]): T
- def minAll[T](self: DenseTensor[T])(implicit ev: TensorNumeric[T]): T
- def mul[T](self: Tensor[T], t: Tensor[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]
- def mul[T](s: T, t: DenseTensor[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]
- def mul[T](self: DenseTensor[T], x: Tensor[T], value: T)(implicit ev: TensorNumeric[T]): Tensor[T]
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final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
- def nearlyEqual[T](a: T, b: T, epsilon: Double)(implicit ev: TensorNumeric[T]): Boolean
- def neg[T](self: DenseTensor[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]
-
def
norm[T](self: DenseTensor[T], result: Tensor[T], value: Int, _dim: Int)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]
returns the p-norms of the Tensor x computed over the dimension dim.
returns the p-norms of the Tensor x computed over the dimension dim.
- value
value-norms
- _dim
the dimension dim
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final
def
notify(): Unit
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final
def
notifyAll(): Unit
- Definition Classes
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- @native()
- def pow[T](self: DenseTensor[T], x: Tensor[T], n: T)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]
- def prod[T](self: DenseTensor[T], x: Tensor[T], _dim: Int)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]
- def prodAll[T](self: DenseTensor[T])(implicit ev: TensorNumeric[T]): T
- def sqrt[T](self: DenseTensor[T], x: Tensor[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]
- def sub[T](self: DenseTensor[T], t: Tensor[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]
- def sub[T](s: T, t: DenseTensor[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]
- def sum[T](self: DenseTensor[T], x: Tensor[T], _dim: Int)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]
- def sumAll[T](self: DenseTensor[T])(implicit ev: TensorNumeric[T]): T
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final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
- AnyRef
- def tanh[T](self: DenseTensor[T], x: Tensor[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Tensor[T]
- val taskSize: Int
-
def
toString(): String
- Definition Classes
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final
def
wait(): Unit
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final
def
wait(arg0: Long, arg1: Int): Unit
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final
def
wait(arg0: Long): Unit
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