• Computes the minimum value from the input.

    Reduces the input along the dimensions given in axes. Unless keepDims is true, the rank of the array is reduced by 1 for each entry in axes. If keepDims is true, the reduced dimensions are retained with length 1. If axes has no entries, all dimensions are reduced, and an array with a single element is returned.

    const x = tf.tensor1d([1, 2, 3]);

    x.min().print(); // or tf.min(x)
    const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);

    const axis = 1;
    x.min(axis).print(); // or tf.min(x, axis)

    Type Parameters

    Parameters

    • x: Tensor<Rank> | TensorLike

      The input Tensor.

    • Optional axis: number | number[]

      The dimension(s) to reduce. By default it reduces all dimensions.

    • Optional keepDims: boolean

      If true, retains reduced dimensions with size 1.

    Returns T

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