function randomUniformInt_(shape, minval, maxval, seed) {
    // TODO(mattsoulanille): Handle optional seed2 input.
    return (0, _randomUniform.randomUniform)(shape, minval, maxval, "int32", seed);
}
Creates a `tf.Tensor` with integers sampled from a uniform distribution.

The generated values are uniform integers in the range [minval, maxval). The
lower bound minval is included in the range, while the upper bound maxval is
excluded.

```js
tf.randomUniformInt([2, 2], 0, 10).print();
```

@param shape An array of integers defining the output tensor shape.
@param minval Inclusive lower bound on the generated integers.
@param maxval Exclusive upper bound on the generated integers.
@param seed An optional int. Defaults to 0. If seed is set to be non-zero,
  the random number generator is seeded by the given seed. Otherwise, it is
  seeded by a random seed.

@doc {heading: 'Tensors', subheading: 'Random'}