function logicalOr_(a, b) {
    const $a = (0, _tensorUtilEnv.convertToTensor)(a, "a", "logicalOr", "bool");
    const $b = (0, _tensorUtilEnv.convertToTensor)(b, "b", "logicalOr", "bool");
    (0, _broadcastUtil.assertAndGetBroadcastShape)($a.shape, $b.shape);
    const inputs = {
        a: $a,
        b: $b
    };
    return (0, _engine.ENGINE).runKernel((0, _kernelNames.LogicalOr), inputs);
}
Returns the truth value of `a OR b` element-wise. Supports broadcasting.

```js
const a = tf.tensor1d([false, false, true, true], 'bool');
const b = tf.tensor1d([false, true, false, true], 'bool');

a.logicalOr(b).print();
```
@param a The first input tensor. Must be of dtype bool.
@param b The second input tensor. Must be of dtype bool.

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