torch.StdVarMeanOptions

export interface StdVarMeanOptions<_OutShape extends Shape = Shape> {
  /** Dimension(s) along which to reduce the tensor. */
  dim?: number;
  /** If true, keeps the reduced dimension with size 1 for broadcasting. */
  keepdim?: boolean;
  /** Bessel's correction. 0 for biased, 1 for unbiased (default). */
  correction?: number;
  /** Data type of the output. */
  dtype?: DType;
}

_OutShapeextends Shape

dim(number)optional: – Dimension(s) along which to reduce the tensor.
keepdim(boolean)optional: – If true, keeps the reduced dimension with size 1 for broadcasting.
correction(number)optional: – Bessel's correction. 0 for biased, 1 for unbiased (default).
dtype(DType)optional: – Data type of the output.

Options for std_mean and var_mean operations

torch.StdVarMeanOptions

export interface StdVarMeanOptions<_OutShape extends Shape = Shape> {
  /** Dimension(s) along which to reduce the tensor. */
  dim?: number;
  /** If true, keeps the reduced dimension with size 1 for broadcasting. */
  keepdim?: boolean;
  /** Bessel's correction. 0 for biased, 1 for unbiased (default). */
  correction?: number;
  /** Data type of the output. */
  dtype?: DType;
}

_OutShapeextends Shape

dim(number)optional: – Dimension(s) along which to reduce the tensor.
keepdim(boolean)optional: – If true, keeps the reduced dimension with size 1 for broadcasting.
correction(number)optional: – Bessel's correction. 0 for biased, 1 for unbiased (default).
dtype(DType)optional: – Data type of the output.

Options for std_mean and var_mean operations