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torch.aminmax

function aminmax<D extends DType = DType, Dev extends DeviceType = DeviceType>(input: Tensor<Shape, D, Dev>, options?: AminmaxOptions): { min: Tensor<Shape, D, Dev>; max: Tensor<Shape, D, Dev> }function aminmax<D extends DType = DType, Dev extends DeviceType = DeviceType>(input: Tensor<Shape, D, Dev>, dim: number, keepdim: boolean): { min: Tensor<Shape, D, Dev>; max: Tensor<Shape, D, Dev> }

Returns both the minimum and maximum values of the input tensor.

Parameters

inputTensor<Shape, D, Dev>
The input tensor
optionsAminmaxOptionsoptional

Returns

{ min: Tensor<Shape, D, Dev>; max: Tensor<Shape, D, Dev> }– Object with min and max tensors

Examples

const x = torch.tensor([[1, 5], [3, 2]]);
const { min, max } = torch.aminmax(x, 1);
// min: [1, 2], max: [5, 3]

See Also

  • PyTorch torch.aminmax()
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