Intro


grad

sciann.utils.grad()

Computes gradient tensor of functional object f.

Arguments

  • f: Functional object.
  • ys: layer name for ys to differentiate.
  • xs: layer name for xs to be differentiated w.r.t.
  • order: order of differentiation w.r.t. xs - defaulted to 1.

Returns

A new functional object.


diag_grad

sciann.utils.diag_grad()

Computes diag of gradient tensor of functional object f.

Arguments

  • f: Functional object.
  • ys: layer name for ys to differentiate.
  • xs: layer name for xs to be differentiated w.r.t.
  • order: order of differentiation w.r.t. xs - defaulted to 1.

Returns

A new functional object.


div

sciann.utils.div(other)

Element-wise division applied to the Functional objects.

Arguments

  • f: Functional object.
  • other: A python number or a tensor or a functional object.

Returns

A Functional.


radial_basis

sciann.utils.radial_basis(ci, radii)

Apply radial_basis function to x element-wise.

Arguments

  • xs: List of functional objects.
  • ci: Center of basis functional (same length as xs).
  • radii: standard deviation or radius from the center.

Returns

A new functional object.


sin

sciann.utils.sin()

Computes sin of x element-wise.

Arguments

  • x: Functional object.

Returns

A new functional object.


asin

sciann.utils.asin()

Computes asin of x element-wise.

Arguments

  • x: Functional object.

Returns

A new functional object.


cos

sciann.utils.cos()

Computes cos of x element-wise.

Arguments

  • x: Functional object.

Returns

A new functional object.


acos

sciann.utils.acos()

Computes acos of x element-wise.

Arguments

  • x: Functional object.

Returns

A new functional object.


tan

sciann.utils.tan()

Computes tan of x element-wise.

Arguments

  • x: Functional object.

Returns

A new functional object.


atan

sciann.utils.atan()

Computes atan of x element-wise.

Arguments

  • x: Functional object.

Returns

A new functional object.


tanh

sciann.utils.tanh()

Computes tanh of x element-wise.

Arguments

  • x: Functional object.

Returns

A new functional object.


exp

sciann.utils.exp()

Computes exp of x element-wise.

Arguments

  • x: Functional object.

Returns

A new functional object.


pow

sciann.utils.pow(a)

Element-wise exponentiation applied to the Functional object.

Arguments

  • f: Functional object.
  • a: Python integer.

Returns

A Functional.


add

sciann.utils.add(other)

Element-wise addition applied to the Functional objects.

Arguments

  • f: Functional object.
  • other: A python number or a tensor or a functional object.

Returns

A Functional.


sub

sciann.utils.sub(other)

Element-wise subtraction applied to the Functional objects.

Arguments

  • f: Functional object.
  • other: A python number or a tensor or a functional object.

Returns

A Functional.


mul

sciann.utils.mul(other)

Element-wise multiplication applied to the Functional objects.

Arguments

  • f: Functional object.
  • other: A python number or a tensor or a functional object.

Returns

A Functional.


div

sciann.utils.div(other)

Element-wise division applied to the Functional objects.

Arguments

  • f: Functional object.
  • other: A python number or a tensor or a functional object.

Returns

A Functional.