Struct rcudnn::utils::ScalParams

pub struct ScalParams<T> where
    T: Float + DataTypeInfo,  {
    pub a: T,
    pub b: T,
}

Provides a convenient interface for cuDNN’s scaling parameters alpha and beta.

Scaling parameters lend the source value with prior value in the destination tensor as follows: dstValue = alpha[0]*srcValue + beta[0]*priorDstValue. When beta[0] is zero, the output is not read and can contain any uninitialized data (including NaN). The storage data type for alpha[0], beta[0] is float for HALF and SINGLE tensors, and double for DOUBLE tensors. These parameters are passed using a host memory pointer.

For improved performance it is advised to use beta[0] = 0.0. Use a non-zero value for beta[0] only when blending with prior values stored in the output tensor is needed.

Fields

a: T

Alpha

b: T

Beta

Trait Implementations

impl<T> Default for ScalParams<T> where
    T: Float + Zero + One + DataTypeInfo, 

fn default() -> ScalParams<T>

Provides default values for ScalParams.