function min_(x, axis = null, keepDims = false) {
    const $x = (0, _tensorUtilEnv.convertToTensor)(x, "x", "min");
    const inputs = {
        x: $x
    };
    const attrs = {
        axis,
        keepDims
    };
    // tslint:disable-next-line: no-unnecessary-type-assertion
    return (0, _engine.ENGINE).runKernel((0, _kernelNames.Min), inputs, attrs);
}
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.

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

x.min().print();  // or tf.min(x)
```

```js
const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);

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

@param x The input Tensor.
@param axis The dimension(s) to reduce. By default it reduces
    all dimensions.
@param keepDims If true, retains reduced dimensions with size 1.

@doc {heading: 'Operations', subheading: 'Reduction'}