torch.NormOptions

export interface NormOptions<OutShape extends Shape = Shape> {
  /** The order of the norm. Default: 2 (L2 norm). */
  p?: number | 'fro' | 'nuc';
  /** The dimension(s) to reduce. If undefined, reduces all dimensions. */
  dim?: number | number[];
  /** If true, keeps the reduced dimension with size 1 for broadcasting. */
  keepdim?: boolean;
  /** Data type of the output. */
  dtype?: DType;
  /** Pre-allocated output tensor. */
  out?: Tensor<OutShape>;
}

OutShapeextends Shape

p(number | 'fro' | 'nuc')optional: – The order of the norm. Default: 2 (L2 norm).
dim(number | number[])optional: – The dimension(s) to reduce. If undefined, reduces all dimensions.
keepdim(boolean)optional: – If true, keeps the reduced dimension with size 1 for broadcasting.
dtype(DType)optional: – Data type of the output.
out(Tensor<OutShape>)optional: – Pre-allocated output tensor.

Options for norm operation

torch.NormOptions

export interface NormOptions<OutShape extends Shape = Shape> {
  /** The order of the norm. Default: 2 (L2 norm). */
  p?: number | 'fro' | 'nuc';
  /** The dimension(s) to reduce. If undefined, reduces all dimensions. */
  dim?: number | number[];
  /** If true, keeps the reduced dimension with size 1 for broadcasting. */
  keepdim?: boolean;
  /** Data type of the output. */
  dtype?: DType;
  /** Pre-allocated output tensor. */
  out?: Tensor<OutShape>;
}

OutShapeextends Shape

p(number | 'fro' | 'nuc')optional: – The order of the norm. Default: 2 (L2 norm).
dim(number | number[])optional: – The dimension(s) to reduce. If undefined, reduces all dimensions.
keepdim(boolean)optional: – If true, keeps the reduced dimension with size 1 for broadcasting.
dtype(DType)optional: – Data type of the output.
out(Tensor<OutShape>)optional: – Pre-allocated output tensor.

Options for norm operation