# torch.special

package torch.special

## Members list

### Value members

#### Concrete methods

Computes the logarithmic derivative of the gamma function on `input`.

Computes the logarithmic derivative of the gamma function on `input`.

## Attributes

Source
package.scala

Computes the error function of `input`.

Computes the error function of `input`.

## Attributes

Source
package.scala

Computes the complementary error function of `input`.

Computes the complementary error function of `input`.

## Attributes

Source
package.scala

Computes the inverse error function of `input`. The inverse error function is defined in the range (−1,1)

Computes the inverse error function of `input`. The inverse error function is defined in the range (−1,1)

## Attributes

Source
package.scala

Computes the base two exponential function of `input`.

Computes the base two exponential function of `input`.

## Attributes

Source
package.scala

Computes the exponential of the elements minus 1 of `input`.

Computes the exponential of the elements minus 1 of `input`.

## Attributes

Source
package.scala

Computes the zeroth order modified Bessel function of the first kind for each element of `input`.

Computes the zeroth order modified Bessel function of the first kind for each element of `input`.

## Attributes

Source
package.scala

Computes the regularized lower incomplete gamma function

Computes the regularized lower incomplete gamma function

## Attributes

Source
package.scala

Computes the regularized upper incomplete gamma function

Computes the regularized upper incomplete gamma function

## Attributes

Source
package.scala

Returns a new tensor with the logit of the elements of `input`. `input` is clamped to [eps, 1 - eps] when eps is not None. When eps is None and input < 0 or input > 1, the function will yields NaN.

Returns a new tensor with the logit of the elements of `input`. `input` is clamped to [eps, 1 - eps] when eps is not None. When eps is None and input < 0 or input > 1, the function will yields NaN.

## Attributes

Source
package.scala

Computes the multivariate log-gamma function with dimension p element-wise

Computes the multivariate log-gamma function with dimension p element-wise

## Attributes

Source
package.scala

Computes the nth derivative of the digamma function on `input`. n≥0 is called the order of the polygamma function.

Computes the nth derivative of the digamma function on `input`. n≥0 is called the order of the polygamma function.

## Attributes

Source
package.scala

Computes the expit (also known as the logistic sigmoid function) of the elements of `input`.

Computes the expit (also known as the logistic sigmoid function) of the elements of `input`.

## Attributes

Source
package.scala

Returns a new tensor with the normalized sinc of the elements of `input`.

Returns a new tensor with the normalized sinc of the elements of `input`.

## Attributes

Source
package.scala

Computes `input * log(other)` with the following cases.

Computes `input * log(other)` with the following cases.

Source
package.scala