function euclideanNorm_(x, axis = null, keepDims = false) {
    return (0, _norm.norm)(x, "euclidean", axis, keepDims);
}
Computes the Euclidean norm of scalar, vectors, and matrices.

```js
const x = tf.tensor1d([1, 2, 3, 4]);

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

@param x The input array.
@param axis Optional. If axis is null (the default), the input is
considered a vector and a single vector norm is computed over the entire
set of values in the Tensor, i.e. euclideanNorm(x) is equivalent
to euclideanNorm(x.reshape([-1])). If axis is an integer, the input
is considered a batch of vectors, and axis determines the axis in x
over which to compute vector norms. If axis is a 2-tuple of integer it is
considered a batch of matrices and axis determines the axes in NDArray
over which to compute a matrix norm.
@param keepDims Optional. If true, the norm has the same dimensionality
as the input.

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