torch.nanmedian
function nanmedian<S extends Shape, D extends DType, Dev extends DeviceType>(input: Tensor<S, D, Dev>, options?: { dim?: undefined } & ReductionOptions): Tensor<readonly [], D, Dev>function nanmedian<S extends Shape, D extends DType, Dev extends DeviceType>(input: Tensor<S, D, Dev>, dim: number, keepdim: boolean, options?: Omit<ReductionOptions, 'dim' | 'keepdim'>): { values: Tensor<DynamicShape, D, Dev>; indices: Tensor<DynamicShape, D, Dev> }Returns the median of values, ignoring NaN values.
Parameters
inputTensor<S, D, Dev>- The input tensor
options{ dim?: undefined } & ReductionOptionsoptional- Optional settings for nanmedian
Returns
Tensor<readonly [], D, Dev>– Median value(s) or values, indices tuple